Global Risk Management Network, LLC, Cornell Business & Technology Park, Ithaca, NY 14852-4892.
World-Leading Hi-Tech R&D Leading Global AI, Machine Learning, and, Risk Management Practices
Post-Doctoral R&D in AI & Machine Learning: Quant Finance, Computer Science, Cybersecurity.
PhD, MSQF, MSCS, MSNCS, MSAcc, MBAEco, BE, CEng, CISSP, CISA, CEH, CCP-CDP, CPA Education

Who's Who in America®, Who's Who in the World®, Who's Who in Finance & Industry®, Who's Who in Science & Engineering®


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MIT Industry Expert: AI & Machine Learning. AACSB: Research Impact among Nobel Laureates.
Princeton FinTech & Quant Presentations: Wall Street Quant: Top Investment Banks & Hedge Funds.
SSRN: AI-Algorithms-Machine Learning:  63 Top-10 Research RankingsTop 2% Authors.
Expert Panels: National Science Foundation Computer Scientists, United Nations Global Economists.
Advisor: Big-4 Sr. Partners, $100 B Hi-Tech Firms, Silicon Valley VCs-CEOs, US & World Governments.
Global Financial Systems Leader, Big-3 Finance-IT, Wall Street Banks-Hedge Funds $1 Trillion AUM.
Founder: Top Digital Site, Top-3 Search Engine, Top-10 Social Network: Largest Finance-IT Clients. 

Dr. Yogesh Malhotra,New York,USA  Dr.Yogesh.Malhotra[at]gmail.com  SSRN  Google Scholar    LinkedIn: We create the Digital Future™

MIT AI & Machine Learning Industry Expert SME
Princeton Quant Finance & Trading Presentations

*Goldman Sachs *Princeton *MIT *CFA *RISK *Iagon
*GIBC *KM *Digital *Publications: IT-Finance *Impact

• AACSB: Research Impact among Finance Nobel Laureates Black-Scholes, Markowitz & Sharpe.

• MIT AI & Machine Learning Industry Expert; Princeton Quant Finance & Trading Presentations.

• Executive Director, Quant Finance-Trading, AI-Machine Learning, Network Security-Cryptography: clients: Goldman Sachs, Google, IBM, Intel; Wall Street Investment Banks: $1 Trillion AUM: JP Morgan; Big-4 Senior Partners, Big-3 IT & Big-3 Finance firms USA, N America, Europe, Asia.

• Global & National Advisor-Expert: Silicon Valley Venture Capitalists & CEOs, Wall Street Banks, National Science Foundation, US & World Governments, United Nations, Conference Board, Institute for Supply Management, etc.

• High impact Global Practices, Ventures, Programs, Projects & Teams Leader: Quant Finance & Trading, Artificial Intelligence & Machine Learning, Cyber Security-Risk Management, Block Chain, Cloud Computing, FinTech-Crypto, Digital Strategy: Multiple national & global leadership roles.

• AI-ML CEO-CxO & Managing Director: Leading CEO-CxO ventures pioneering Financial Intelligence & Trading, Block Chain Cloud Computing, etc.; GIBC Digital Managing Director, New York State CISO, technical expert advisor to JP Morgan Managing Directors.

• Built world’s top-ranked technologies: e.g. Top-Digital Site, Top-3 Search Engine, Top-10 Social Network.

• CEO, CIO, CxO interviews & editorial reviews in premiere global business technology media including CIO, Wall Street Journal, New York Times, Fortune, Inc., etc.

• Carnegie Mellon & Kellogg Executive Education Faculty.

• STEM Computer Science & IT/OR MBA Professor: MIS, Network Security, Quant Methods. 

• Top-10 MIS PhD IT-Statistics. 5 Masters: 
- Business: Quantitative Finance, Accountancy, Economics MBA.
- Engineering: Computer Science, Network Security.

• CEng, CISSP, CISA, CEH; CPA Education, PRMIA.

• Marquis: 
Who's Who in America®,
Who's Who in the World®,
Who's Who in Finance & Industry®,
Who's Who in Science & Engineering®.

• Post-Doc AI & Machine Learning: Quant Finance & Trading, Computer Science, Network Security: 
- JP Morgan Hedge Funds Quant,
- Princeton Quant Finance & Trading Expert,
- MIT AI & Machine Learning Expert,
- New York State CISO Expert
• Top-10 PhD MIS: Information Technology & Statistics
- Dual PhD equivalent Credits in Information Technology & Statistics
Executive Education Faculty:
- Carnegie Mellon University
- Kellogg School of Management
PhD, MSNCS, MSCS, MSQF, MSAcc, MBAEco,
CEng, CISSP, CISA, CEH, CCP-CDP, CPA Education.


• 2018 Princeton Quant FinTech Presentation:  MRM beyond Deep Learning and GANs
• 
2018 MIT AI-Machine Learning Executive Guide including RPA & Cognitive Automation
• Princeton Quant Trading & FinTech Presentations:  AI, Machine Learning & Deep Learning
• Expert Paper: National Association of Insurance Commissioners: Cyber Insurance VaR
• Latest Article: Journal of Operational Risk: Networks, Systems & Controls Frameworks

• 2015-2018: PostDoc R&D: AI-Algorithms-Machine Learning: 63 SSRN Top-10 Rankings


Global Risk Management Network, LLC
LinkedIn: We create the Digital Future™
AI-Algorithms-Machine Learning; Quantitative Analytics; Cybersecurity Engineering;
Crypto; Blockchain; Cloud Computing; Cognitive Computing; Quantum Computing

Princeton University MIT Sloan School of Management Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education    MIT Computer Science & ArtificialIntelligence Laboratory CSAIL Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education     GetSmarter: Learn Online with the World's Top Universities
Goldman Sachs  JP Morgan Asset Management  Google  Intel  Microsoft

AACSB: Research Impact among Nobel Laureates such as Black-Scholes
MIT Industry Expert: AI, Machine Learning & Deep Learning

MIT Sloan School of Management-MIT Computer Science & Artificial Intelligence Lab
Princeton Quant Trading Presentations: AI, Algorithms & Machine Learning
Conference Sponsors: Princeton University, Goldman Sachs, Citadel, SIG, KCG Holdings
Wall Street Investment Banks & Hedge Funds with $1 Trillion AUM

Quant Risk Analytics & Software Leader: JP Morgan, Goldman Sachs Alumnus Firm
Big-3 Finance & Big-3 IT Global Financial Systems Software Projects Leader
Big-3 Banking & Finance: Bank of America, Big-3 IT: USA, Hong Kong, India,...

Intel Corporation: Next Generation e-Business Enterprise Architectures Expert
Digital Transformation Ventures Transforming Global Firms & Governments
Clients & Patrons: BT (UK), Goldman Sachs, Google, IBM, Intel, Microsoft, MIT, Harvard,...
Computerworld's Top Digital Site, Top-3 Search Engine, Top-10 Social Network,...

New York State IT Administration & Network Administration CISO-Leader
Leading Defense-in-Depth Zero Trust Architectures & Network Segmentation Practices
New York State Computer Scientist & Cybersecurity Practices Leader
National Science Foundation: National Cybersecurity-Computer Science Expert Panels
National Association of Insurance Commissioners Cybersecurity Risk Insurance Expert
UPMC Health System, Pittsburgh, PA: Digital Transformation: EMR-Risk Management-Controls
United Nations World HQ: Global Economists Expert Panels Quant: Knowledge Assets

Government of Switzerland Banking Transformation: Math-Fintech Algorithms Expert
United States Federal Government, Council Partner, Business Process Transformation Expert
Government of Mexico: e-Government Expert: Cabinet Ministers, 13 CIOs, 600 IT Leaders
Government of Netherlands: National Digital Transformation & Infrastructure Expert
Nation of South Korea: Vision Korea Campaign: National Digital Transformation Expert
Ziff Davis Global Internet Infrastructure GII: US National E-Commerce Standard Expert
US National Information Infrastructure NII: Applied R&D Pioneering UN & Global Policies

SSRN: AI-Algorithms-Machine Learning: 63 Top-10 Research Rankings

Post-Doctoral R&D Pioneering AI-Algorithms-Machine Learning Industry Practices
Chartered Engineer, Computer Scientist, Information Scientist, Quant Methods Scientist

Professor of Computer Science, IT, Operations Research, Quantitative Methods, Security+
Executive Education Faculty: Carnegie Mellon University, Kellogg School of Management
Post Doc R&D: AI-Algorithms-Machine Learning, Top-10 MIS PhD IT-Statistics Double Credits
5 Masters: Computer Science, Network Security, Quant Finance, Quant Economics, Accountancy
Professional Certifications: Computing, Cybersecurity, Data, Engineering, Risk Management, Systems
.

Biography profiled in worldwide achievers and leaders:
Marquis Who's Who in America®, Marquis Who's Who in the World®,
Marquis Who's Who in Finance & Industry®, Marquis Who's Who in Science & Engineering®

FinTech: Wall Street & IT: Goldman Sachs, Google, HP, IBM, Intel, Microsoft, Ogilvy, Wells Fargo,...
Consulting Firms
: Accenture, Ernst & Young, McKinsey, PricewaterhouseCoopers,...
Business Schools: Harvard, MIT, Princeton, Stanford, UC Berkeley, Wharton,...
Associations
: AACSB, ABA, ACM, AICPA, AOM, APICS, ASTD, ISACA, IEEE, INFORMS,...
World Governments: Australia, Canada, European Union, United Kingdom, United States,...
U.S. Defense
: AFRL, Air Force, Army, CCRP, Comptroller, DISA, DoD, Marines, NASA, Navy,...
World Defense: Australia (Air Force), Canada (Defence R&D), UK (Ministry of Defence),...
World Health: World Health Organization (WHO), U.S. Department of Health & Human Services,... 
European Health Management Association, U.K. Department of Health, UNESCO, UNDP
,...

Princeton University MIT Sloan School of Management Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education    MIT Computer Science & ArtificialIntelligence Laboratory CSAIL Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education     GetSmarter: Learn Online with the World's Top Universities

Goldman Sachs  JP Morgan Asset Management

Google  IBM  Intel  Microsoft  OgilvyOne
 Cisco  SAP  Verisign  European Commission  Government_of_UK

National Association of Insurance Commissioners (NAIC) National Expert Panel: Computational Quant Finance-Cybersecurity-Risk-Insurance-Catastrophe Modeling    New York State Cybersecurity Conference 2016   NYSETA New York State Cyber Security and Engineering Technology Association Presentation   NationalScienceFoundationNSF  US Under Secretary of Defense 
 United States Army United States Navy  United States Air Force  Royal Australian Air Force (RAAF) AIRCDRE  Government of UK, Ministry of Defence  Canadian Department of National Defence, Canada, Defence R&D Canada

Harvard Business School Stanford Graduate School of Business Wharton School Princeton University UC Berkeley Haas School of Business

MIT Sloan School of Management MIT PressHarvard UniversityStanford School of Medicine

Stanford UniversityMIT 50 K Entrepreneurship CompetitionMIT LibrariesYale Law Journal NASA

Fortune Inc. Business WeekNew York TimesWall Street Journal

Forbes Fast CompanyHarvard Business Press Publishing Computer World Information Week InfoWorld CIO Magazine

ForbesBusiness Week San Jose Mercury NewsInfoWorld American Institute of Certified Public Accountants (AICPA) AACSB International

ACM IEEE AACSB International American Society for Training and Development American Bar Association

MIT Sloan-CSAIL AI, Machine Learning & Deep Learning Industry Expert;
Princeton AI, Machine Learning & Deep Learning Invited Research Presentations;
Computational Finance; CyberSecurity Risk Engineering:
Computational, Quant, Cyber, Crypto, Quantum
Finance-IT-Risk Engineering & ICT Digital Transformation

Princeton University MIT Sloan School of Management Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education    MIT Computer Science & ArtificialIntelligence Laboratory CSAIL Artificial Intelligence (AI) & Machine Learning Management and Leadership Executive Education

2017-2018: MIT AI-Machine Learning Executive Guide including RPA & Cognitive Automation
2015-2018: Princeton Quant & FinTech Presentations:  AI, Machine Learning & Deep Learning

Sponsors: Princeton University, Goldman Sachs, Citadel, SIG, KCG.

2015-2018: 63 SSRN Top-10 Research Rankings: Top-3% SSRN Authors:
AI & Machine Learning; Computational Finance; CyberSecurity Engineering.


RESEARCH & PUBLICATIONS
- Download Full-Text Articles

Artificial Intelligence, Machine Learning & Deep Learning;
Data Science, Knowledge Management, Cognitive Computing;
CyberSecurity Risk Engineering; Quantum Cryptography:
Frameworks, Models, Methods & Metrics in Applied Research


*MIT Sloan-CSAIL *Princeton *Goldman Sachs *RISK.Net *KM *e-Digital
*MRM *SSRN *GoogleScholar *LinkedIn

 

Digital Transformation & Knowledge Management Community of Practice
CyberspaceOrganizations

"In his latest book, Knowledge Management and Virtual Organisations, KM luminary, Dr. Yogesh Malhotra, offers some cautionary advice. He exposes three myths often associated with KM solutions."
- Microsoft

Microsoft

CyberspaceBusinessModels
"Knowledge Management and Business Model Innovation brings together the latest thinking on issues at the forefront of teaching innovation and professional imagination."
- M. Lynne Markus
, Professor and Department Chair of Electronic Business, City University of Hong Kong
city-university-hong-kong


Computerworld's Top Digital Site, Top-3 Search Engine, & Top-10 Social Network
Top-Ranked Digital Research Site: Computerworld Best Web Site Award
Top-3 Search Engine: Carnegie Mellon University Industry.Net National Awards
Top-10 Social Network: Popular Rankings among others such as LinkedIn 
Led Global Virtual Community of Practice of 130,000+ to Pioneer Digital Transformation Practices
Millions of worldwide users included Global-2000 Corporations and G-20 World Governments.
Princeton University MIT Sloan School of Management Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education    MIT Computer Science & ArtificialIntelligence Laboratory CSAIL Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education

LEADING GLOBAL CYBERSECURITY RISK ENGINEERING PRACTICES

National Association of Insurance Commissioners (NAIC) National Expert Panel: Computational Quant Finance-Cybersecurity-Risk-Insurance-Catastrophe Modeling    New York State Cybersecurity Conference 2016   NYSETA New York State Cyber Security and Engineering Technology Association Presentation   NationalScienceFoundationNSF  US Under Secretary of Defense 
 United States Army United States Navy  United States Air Force  Royal Australian Air Force (RAAF) AIRCDRE  Government of UK, Ministry of Defence  Canadian Department of National Defence, Canada, Defence R&D Canada



Global High Impact Hi-Tech Digital Practices Leadership spans Silicon Valley to Seoul and all continents in between.

AACSB

AACSB logo

AI-KM Research Impact among Finance & IT Nobel Laureates in AACSB and Scientific Impact Studies.
  
Wall Street Journal
  
Risk Management Tech Ventures leading Computational Quantitative Analytics, Machine Learning, Data Science, Quantitative Finance, & Cybersecurity Practices.
Worldwide Business and IT Editorial Coverage & Interviews as global industrial benchmark in Wall Street Journal, New York Times, Fortune, Fast Company, Forbes, Business Week, CIO, CIO Insight, Computerworld, Information Week, etc.
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EXECUTIVE SUMMARY
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Princeton University MIT Sloan School of Management Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education    MIT Computer Science & ArtificialIntelligence Laboratory CSAIL Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education     GetSmarter: Learn Online with the World's Top Universities
Princeton Quant Trading & FinTech Conference, Invited Presentations
   
Sponsors: Princeton University, Goldman Sachs, Citadel, SIG, KCG

MIT: AI & Machine Learning: Management and Leadership: Industry Expert
MIT AI-Machine Learning Executive Guide including RPA & Cognitive Automation
MIT AI & Machine Learning Expert
, Princeton Quant Trading & FinTech Presentations, Wall Street Quant Leader
AACSB: Impact of Research among Nobel Laureates such as Black-Scholes & Harry Markowitz.

AI-Algorithms-Machine Learning; Quantitative Analytics; Cybersecurity Engineering;
Crypto; Blockchain; Cloud Computing; Cognitive Computing; Quantum Computing

• Chief Research Scientist-Machine Learning Strategist: AI-Machine Learning-Deep Learning:
Cybersecurity, Quantitative Finance, Information Technology, Finance-IT-Risk Management.
• MIT Industry Expert: Management & Leadership: AI, Machine Learning & Deep Learning.
- MIT Sloan School of Management-MIT Computer Science & Artificial Intelligence Lab.
• Princeton Quant Trading & FinTech Presentations: AI, Machine Learning & Deep Learning
- Conference Sponsors: Princeton University, Goldman Sachs, Citadel, SIG, KCG.
• Founder: Global Risk Management Network: 200 PhDs; 130,000 Members; Millions of Users.
- Computerworld: Top Digital Site: Best Site, Top-3 Search Engine, Top-10 Social Network. 
- Global clients & patrons such as Goldman Sachs, Google, IBM, Intel, Microsoft, MIT, Harvard...
- Media interviews such as CIO Magazine, CIO Insight, Wall Street Journal, Fortune, Inc., etc.
- Global IT industry benchmarks in most prestigious US national and global media publications.
• Global Financial Systems Leader: Wall Street Banks: $1 Trillion AUM; Big-3 Finance & Big-3 IT.
- Wall Street Investment Banks & Hedge Funds such as JP Morgan with $1 Trillion AUM.
- Wall Street Investment Banks-Hedge Funds Quant-Risk Management & Controls Pioneer 
- Cyber-Finance-Trust™, Model Risk Management & Model Risk Arbitrage™ Practices.
- Big-3 Banking & Finance and Big-3 IT firms such as Bank of America: USA, India, Hong Kong.
• Global Information Infrastructures, Cybersecurity, & Global Digital Transformations Leader.
- New York State CISO-Leader: IT & Networks Administration: New York State Practices Leader.
- New York State Defense-in-Depth Zero Trust Architectures & Network Segmentation Practices.
- New York State Computer Scientist-Professor: Network Administrators CompTIA Security+. 
- National Association of Insurance Commissioners: Pioneering Cyber Insurance Standards. 
- National Science Foundation: 32 National Cybersecurity-Cyber Computing Expert Panels.
- Accenture Partners, British Telecom (UK), Intel Corporation, Philips (Netherlands).
- UPMC CIO Office: Healthcare Digital Transformation Leader, IT-Risk Management Controls.
- Advisor: Big-4 Partners, Silicon Valley VCs-CEOs & Wall Street firms, US & World Governments.
- United Nations World HQ: Global Economists Expert Panels Quant: Knowledge Assets.
- United States Government, Council Partner, Business Process Transformation Expert.
- Government of Switzerland: Banking Transformation: Math-Fintech Algorithms Expert.
- Government of Mexico: e-Government Expert: Cabinet Ministers, 13 CIOs, 600 IT Leaders.
- Government of Netherlands: National Digital Transformation & Infrastructure Leader.
- Nation of South Korea: Vision Korea Campaign: National Digital Transformation Leader.
- Ziff Davis Global Internet Infrastructure GII: US National E-Commerce Standard Leader.
- US National Information Infrastructure NII: Applied R&D Pioneering UN & Global Policies.
- Journal of Operational Risk: Pioneering Networks, Systems & Controls Pen Test Standards. 
• Biggest American-Japanese Auto Firms: Production-Process Engineering, Financial Systems.

• AACSB: Research Impact among Nobel Laureates such as Black-Scholes & Harry Markowitz.
• Post Doc AI-Machine Learning-Deep Learning R&D: Wall Street Banks-Hedge Funds Quant.
• SSRN: AI-Algorithms-Machine Learning: 63 Top-10 Research Rankings: Top 3% Authors.
• AI-Machine Learning: MIT Industry Expert: Princeton Quant & FinTech Presentations.
• Invited Executive Education Faculty: Carnegie Mellon University, Kellogg School of Management.
• Professor: Computer Science, Cybersecurity, Quantitative Methods, IT, Operations Research.
• Chartered Engineer, Computer Scientist, IT/OR Quant Methods Scientist & Information Scientist.

• Top-10 PhD: Double PhD Credits: IT-Statistics, PhD Thesis: KMS & Quantitative Risk Management Controls.
- First PhD Thesis on Knowledge Management Systems (KMS) and Quantitative Risk Management Controls:
- UPMC, CIO Office: Digital Transformation, PhD Field Study: Digital Innovations Adoption & Utilization
- PhD in KMS & Quantitative Risk Management Controls: Concentrations & Chairs:
-- Management Control Systems (Jacob G Birnberg), MIS (William R King), Quant Methods (T C Hsu)
- Beta Gamma Sigma National Honors: Quantitative Methods QPA: 3.96/4.0
5 Computational Quantitative Analytics Masters: AI, Algorithms, and Machine Learning:
• MS Computer Science: Cryptography, Cryptanalytics, Computational Finance
• MS Network & Computer Security, 1st: Cyber Finance, Pen Testing, SUNY Outstanding Student Award
• MS Quantitative Finance: Derivatives: Credit Risk, Market Risk, Liquidity Risk, Interest Rates, etc.
• MS Accountancy, 1st: Advanced Financial Accounting & Advanced Auditing, SUNY Perfect GPA Award
• MBA Quantitative Economics, 1st, Phi Kappa Phi-Beta Gamma Sigma Honors: Perfect GPA

DoD Directive 8140 (DoDD 8140) IT Security Management & Auditing Certifications:
• CISSP (Since 2005): DoDD 8140 - CNDSP Manager, IAM Level III, IAT Level III, IASAE II
• CISA (Since 2007): DoDD 8140 - CNDSP Auditor, IAT Level III
• CEH (Since 2014): DoDD 8140 - CNDSP Auditor, Incident Responder, & Infrastructure Support.

• Certified Information Systems Security Professional (CISSP)
• Certified Information Systems Auditor (CISA)
• Certified Ethical Hacker (CEH)
• Certified Computing Professional-Certified Data Professional (CCP-CDP)
• Chartered Engineer (C.Eng.) & Life Member of the Institution of Engineers
• Certified Public Accountant (C.P.A.) Education Requirements Fulfilled, AICPA, State of New York.

• Marquis Who's Who in the World®, Since 1999.
• Marquis Who's Who in Finance & Industry®, Since 2001.
• Marquis Who's Who in America®, Since 2002.
• Marquis Who's Who in Science & Engineering®, Since 2006.


• 2018 Princeton Quant FinTech Presentation:  MRM beyond Deep Learning and GANs
• 
2018 MIT AI-Machine Learning Executive Guide including RPA & Cognitive Automation
• Princeton Quant Trading & FinTech Presentations:  AI, Machine Learning & Deep Learning
• Expert Paper: National Association of Insurance Commissioners: Cyber Insurance VaR
• Latest Article: Journal of Operational Risk: Networks, Systems & Controls Frameworks

• 2015-2018: PostDoc R&D: AI-Algorithms-Machine Learning: 63 SSRN Top-10 Rankings

EXPERIENCE

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MIT Sloan School of Management-MIT Computer Science & AI Lab,
Management and Leadership Industry Expert,
AI, Machine Learning-Deep Learning, Natural Language Processing, Robotics, RPA

MIT Industry Expert: Business Process Engineering Leader Leading Digital Process Automation Practices Optimizing Costs, Profits & Risks using AI & Machine Learning. 

Artificial Intelligence (AI), Machine Learning, Deep Learning, Neural Networks (CNNs, RNNs, LSTMs, GANs),
Natural Language Processing (NLP), Robotics, Robotic Process Automation (RPA).

MIT AI-Machine Learning Executive Guide including RPA & Cognitive Automation

As MIT Industry Expert for worldwide Management & Leadership executives leading AI, Machine Learning-Deep Learning, Natural Language Processing, Robotics, and, RPA strategic executions while advancing applied AI-Machine Learning program going back to the dialog on the design of self-adaptive enterprises with Dr. John Holland, the founder of Genetic Algorithms...

The MIT-AI Strategy Executive Guide is inspired by many of the Management & Leadership Industry Executives in the MIT-AI Learning Communities of Practice of which I am the Learning Facilitator. The experience of leading the global industry leaders as their Learning Facilitator in pioneering AI & ML industry practices in respective firms and industries also provides an outstanding opportunity for enhancing the MIT Sloan and MIT C-SAIL Faculty Curriculum in Community of Practice discussions supported by in-depth supplementary resources included in this guide. More than 300 of the in-depth supplementary resources are included in this guide arranged over the weekly Module-by-Module Curriculum followed and related online discussions. That experience is founded upon 20-year applied and industrial R&D in advancing global Knowledge Management, and, AI & Machine Learning practices.

As MIT Industry Expert for worldwide Management & Leadership executives leading AI-Machine Learning strategic execution while advancing applied AI-Machine Learning program going back to the dialog on self-adaptive enterprises with the founder of Genetic Algorithms Dr. John Holland. Holland was then at the Santa Fe Institute, the Nobel laureates’ think tank on Complexity Theory and Complex Systems, themes on which our Digital ventures were recognized by the Wall Street Journal and New York Times as industry practices global benchmarks. Dialog with Holland inspired the top-ranked journal paper on AI & Machine Learning in the Expert Systems with Applications journal which stimulated attention of world's smartest intelligence agencies at the time. That paper and the related R&D program guiding worldwide practices on Digital Transformation underpins some of the central issues advancing the design of AI & Machine Learning 'sense-making' systems as evident in latest developments in AI, Machine Learning, and Deep Learning R&D including the latest advances such as in Generative Adversarial Networks. Of course, they were not known by that name at that time, just like John Holland's Genetic Algorithms were not known by that name when he pioneered those AI technologies.

Having known Prof. Tom Malone and other distinguished MIT faculty as a professor in research academia, it is a privilege to serve as Subject Matter Expert for MIT Sloan-MIT CSAIL Executive Education program on AI-ML. Recognized for pioneering global Digital Transformation practices as founder of the world's first and largest global Knowledge Management Communities of Practice with millions of worldwide users, he also founded Computerworld's Top Digital Transformation Site, Top-3 Search Engine, and, Top-10 Social Network. His clients and patrons have included firms such as Google, Goldman Sachs, IBM, Intel, Microsoft, and, Ogilvy, and, his Digital Ventures adopted and applied by worldwide institutions of higher learning such as Harvard MBA, Harvard University and MIT. Having pioneered industry benchmarks for bridging the "gaps between business and technology, data and knowledge, and, theory and practice" recognized by Fortune and Wall Street Journal, and, recognized by AACSB among others such as Harvard and Wharton, collaborating with GetSmarter-2U leading Management & Leadership industry practices via Executive Education at most elite programs.

2017-2018 MIT-AI Strategy: Management & Leadership: Industry Executives Feedback

  • "This course has been a fantastic experience. Thank you especially Dr Yogesh Malhotra, your contribution has been amazing, one of the best things of the course (if not the best)."

  • "Fantastic course and great learning experience. Even though I came here with a fair amount of knowledge on AI and some of its business applications, I have certainly learnt a lot more from this course. Special thanks to Dr Yogesh Malhotra... the forum discussions and resources shared have been by far my biggest takeaway."

2015-2018 Princeton Quant & FinTech Presentations,
Conference Sponsors: Princeton University, Goldman Sachs, Citadel, SIG
AI, Algorithms, Machine Learning Post-Doctoral Industrial R&D.

Princeton Quant & FinTech Presentations: AI, Machine Learning, Deep Learning

AI-Machine Learning Innovations: Hedge Funds-Algorithmic Trading-FinTech

Princeton Quant Trading & FinTech Invited Research Presentations Pioneering AI-Machine Learning Model Risk Management and Cyber-Finance Innovations such as Model Risk Arbitrage™, and, Cyber-Finance-Trust™ Framework advancing Frank Knight’s Risk, Uncertainty, and, Profit to the Cyber-Quantum Era...

2018: "AI, Machine Learning & Deep Learning Risk Management & Controls: Beyond Deep Learning and Generative Adversarial Networks: Model Risk Management in AI, Machine Learning & Deep Learning "
- Download From: https://ssrn.com/abstract=3167035.
The 2018 invited research presentation at the Princeton Quant FinTech & Quant Conference focuses on "the control problem" which is a critical prerequisite for AI systems to have positive impacts by further developing upon my prior two presentations that pioneered Cyber-Finance-Trust™ Model Risk Management & Model Risk Arbitrage™ practices at prior Princeton Quant Trading Conferences. Starting with the first technical report on the Bitcoin Blockchain Cryptographic Proof of Work; spanning latest developments in AI, Machine, Learning, Deep Learning, and, Generative Adversarial Networks; and, hedge fund algorithmic trading, the presentation generates interesting insights about the most critical role of risk management controls. Such role of risk management controls is most critical in not only getting the best out of AI, but also ensuring that the worst fears about the AI do not really come true.

The European Parliament Think Tank's Research Policy document 'Should we fear artificial intelligence?' reflects the ongoing mainstream debate between the Utopian and Dystopian aspects of AI and Machine Learning. "Powerful AIs can in principle be given nearly any goal, which is a source of both risk and opportunity. There are myriad possible malicious uses of AI and many ways in which it might be used in a harmful manner unintentionally, such as with algorithmic bias. Perhaps most fundamentally, the control problem will have to be addressed – that is, we will need to learn how to ensure that AI systems achieve the goals we want them to without causing harm during their learning process, misinterpreting what is desired of them, or resisting human control." Third in the series of the Princeton Presentations on AI and Machine Learning Risk Management & Control Systems, the current presentation develops fundamental guidance on the design, development, and implementation of AI, Machine Learning, and Deep Learning Models and Methods.

2016: "Beyond Model Risk Management to Model Risk Arbitrage for FinTech Era: How to Navigate ‘Uncertainty’...When ‘Models’ Are ‘Wrong’...And Knowledge’...‘Imperfect’! Knight Reconsidered Again: Risk, Uncertainty, & Profit Beyond ZIRP & NIRP"
- Download From: https://ssrn.com/abstract=2766099.
The 2016 invited research presentation at the Princeton Quant Trading Conference proposes two new financial innovations and their interrelationships: ‘Model Risk Arbitrage’ for ‘Open Systems Finance’. It develops the new framework of Model Risk Arbitrage for profit-maximization in the emerging global financial markets characterized by unprecedented uncertainty, complexity, and, rapid discontinuous changes. It develops the new framework of ‘Open Systems Finance’ aligned with George Soros’ Reflexivity Theory based upon empirical practical experience in financial markets as contrasted from ‘Closed Systems Finance’ models characterizing most of classical and academic Finance and Economics theory. 

Aligning with George Soros’ Reflexivity Theory and associated Hegelian Dialectic, it characterizes ‘reflexivity’ as the missing link in Finance theory, research, and, practice that can help understand the effect of feedback and feedforward loops across Time and Space in information-based non-deterministic ‘open systems’ Finance. Consistently, it is based on the Hegelian Dialectic characterizing the [profit-maximizing] Black Hat approach as compared with the [risk-optimizing] White Hat approach. The Black Hat approach exploits all vulnerabilities at all levels of all systems to maximize advantage over the White Hat approach. Similarly, Model Risk Arbitrage exploits all model risks at all levels of all systems to maximize advantage over Model Risk Management. Open Systems Finance framework advances beyond ‘silo’ based mindsets characterizing academic theory and practices and thus serves as foundation for developing and executing Model Risk Arbitrage strategies for profit-maximization.

2015: "Future of Finance Beyond 'Flash Boys': Risk Modeling for Managing Uncertainty in an Increasingly Non-Deterministic Cyber World: Knight Reconsidered: Risk, Uncertainty, and Profit for the Cyber Era: Future of Finance: Cyber-Finance?
- Download From: https://ssrn.com/abstract=2590258.
The 2015 invited research presentation at the Princeton Quant Trading Conference reconsiders Knight's Risk, Uncertainty, and Profit of 1921 in light of the emergence of the World Wide Web in early-1990s, Emanuel Derman's pioneering work in Model Risk Management at Goldman Sachs in mid-1990s, backlash against quantitative models in aftermath of the Global Financial Crisis of 2007-2009, and the post-Snowden Cyber era starting around mid-2013. Based upon review of related financial risk modeling practices and exponentially increasing Cyber era uncertainty, it helps advance mainstream Finance practices of risk modeling and uncertainty management to enable them to meet the needs of Cyber-Finance which is the emerging Future of Finance. It will help Finance researchers and practitioners recognize that the current mainstream focus of financial risk modeling is on the metaphorical 'tip' of the iceberg, with significant risks that may not as readily meet the human eye.

With its information-based view on cyber-risk as the predominant risk that will subsume most traditional financial risks such as credit risks and market risks, it will help them recognize the exponentially increasing tail risks and systemic risks characterizing the highly systemic, interdependent, and correlated cyber risks which in turn characterize financial risks. Based on research of two-decades started around the emergence of the WWW on how to 'anticipate surprise' when ‘prediction’ of risk is infeasible, it explores advances in quantitative risk models, statistical methodologies, and, computational statistical technologies to facilitate dialog on the above issues of central concern to both the Future of Finance and the Future of Risk.  

National Association of Insurance Commissioners Cyber Insurance VaR Expert Paper

Pioneering AI, Algorithms & Machine Learning innovations such as Model Risk Arbitrage™ and Cyber-Finance-Trust™ frameworks advancing global and national applied AI, Algorithms & Machine Learning, and, Anticipatory & Predictive Risk Analytics practices in Computational Quant Finance & Trading, Cybersecurity Risk Insurance, Cybersecurity Risk Engineering, and Computer Science such as the following:

• 2018 Malhotra, Yogesh. Toward ‘Cyber-Finance’ Cyber Risk Management Frameworks of Practice: Bridging Networks, Systems, and, Controls FrameworksThe Journal of Operational Risk, March 2018, Forthcoming.
• 2017 Malhotra, Yogesh. Quantitative Modeling of Trust and Trust Management Protocols in Next-Generation Social Networks-Based Wireless Mobile Ad Hoc Networks (United States Army Research Laboratory (ARL) Case Study). IUP Journal of Computer Sciences, Vol. XI, No. 2, pp. 7-28. April 2017.

• 2016-Current National Association of Insurance Commissioners NAIC invited National Expert Panel and Expert Paper leading global Cyber Risk Insurance and Risk Valuation Modeling beyond VaR industry practices.

Malhotra, Y. Advancing Cyber Risk Insurance Underwriting Model Risk Management beyond VaR to Pre-Empt and Prevent the Forthcoming Global Cyber Insurance Crisis. National Association of Insurance Commissioners Expert Paper. (June 24, 2017).
Post-doctoral applied industrial R&D Cyber-Finance practices report inspired by world-leading quant risk analytics and portfolio management Quants and Hedge Fund top leadership mentors at Wall Street investment banks such as JP Morgan with $1 Trillion AUM and Network Security research committee of distinguished computer scientist and mathematician cybersecurity experts affiliated with U.S. Air Force Research Lab, New York State Cyber Research Institute, and, SUNY Polytechnic Institute.

2018 Princeton Quant Trading Conference: Sponsors: Princeton UniversitySusquehanna International Group: AI, Machine Learning & Deep Learning Risk Management & Controls: Beyond Deep Learning and Generative Adversarial Networks: Model Risk Management in AI, Machine Learning & Deep Learning Risk Management Controls.
2016 Princeton Quant Trading Conference: Sponsors: Princeton UniversityGoldman Sachs: Knight Reconsidered Again: Risk, Uncertainty & Profit beyond ZIRP & NIRP: FinTech Model Risk Arbitrage™ & Offensive Cybersecurity.
2015 Princeton Quant Trading Conference: Sponsors: Princeton University, CitadelKnight Reconsidered: Risk, Uncertainty & Profit for the Cyber Era: Future of Finance beyond 'Flash Boys': Cyber Finance™: FinTech Model Risk Management & Defensive Cybersecurity.
• 2016 Government of Switzerland invited industry expert on Mathematical Industrial Research  FinTech Algorithms for National Banking & Finance Transformation of Switzerland: Federal Department of Economic Affairs, Education and Research EAER, State Secretariat for Education, Research and Innovation SERI. Applied-Industrial R&D by ex-Goldman Sachs bankers collaborating with world's top Quant Finance & Insurance Mathematical Modeling academic experts from Switzerland: "Mathematics and Fintech - the next revolution in the digital transformation of the finance industry."
• 2016 New York State Cyber Security Conference - Finance: FinTech-Cyber Finance & Anticipatory Risk Analytics: Sponsors: NYS Governor & CIO: CyberFinance: Why Cybersecurity Risk Analytics Must Evolve to Survive 90% of Emerging Cyber Financial Threats, and, What You Can Do About It? Advancing Beyond 'Predictive' to 'Anticipatory' Risk Analytics.
• 2015 New York State Cyber Security & Engineering Technology Association Conference: Cyber Finance Risk Management & Controls Frameworks: Toward Integrated Enterprise Risk Management, Model Risk Management & Cyber-Finance Risk Management: Bridging Networks, Systems and Controls Frameworks.
• 2015 U.S. National Chief Risk Officers Keynote to U.S. Fortune 500 CROs-CSOs, Legal Heads, and, HR Heads: Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: Enterprise Risk Management to Model Risk Management: Understanding Vulnerabilities, Threats, & Risk Mitigation.
• 2016 Malhotra, Yogesh (Invited Referee & Reviewer). Markov Chain Monte Carlo Modeling of Cyber ThreatsThe Journal of Defense Modeling and Simulation: Applications, Methodology, Technology (SAGE Journals), Published: February 6, 2017.
"The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology is a quarterly peer-reviewed academic journal that covers the field of engineering, especially modeling and simulation as it relates to the military and defense. The editor-in-chief is Jerry M. Couretas (Lockheed Martin Corporation). It was established in 2004 and is currently published by SAGE Publications on behalf of the Society for Modeling and Simulation International."
(Focus: Markov Chain Monte Carlo ModelsBayesian Networks, Computer simulation, Markov Chain Modeling, Statistical Modeling, Cyber Security, STIXTAXII)

JP Morgan Private Bank and Goldman Sachs Alumnus Firm
Wall Street
Investment Banks and Hedge Funds with $1 Trillion AUM
(Midtown Manhattan, New York City)
Quantitative Risk Analytics and Predictive Risk Analytics Software Engineering & Modeling Technical Expert and Projects & Teams Leader leading and guiding
Managing Directors and Portfolio Managers with JP Morgan Private Bank and Goldman Sachs alumnus asset management firm. Developed JP Morgan Portfolio Liquidity Risk Modeling Framework and JP Morgan Portfolio Optimization & Value-at-Risk (VaR) Stress Testing Models. Analyzed 400 State Street Associates Hedge Fund Trading, Portfolio Modeling, & Risk Optimization Strategies and Developed High Frequency Econometric Models of Co-integrated Time Series and Liquidity Microstructure Modeling for Goldman Sachs alumnus asset management firm.

• 2014. Malhotra, Yogesh. Beyond ‘Bayesian vs. VaR’ Dilemma to Empirical Model Risk Management: How to Manage Risk (After Risk Management Has Failed) for Hedge FundsJP Morgan Portfolio Optimization & Value-at-Risk (VaR) Stress Testing Models R&D.

• 2012. Malhotra, Yogesh. A Framework of Liquidity Risk Assessment for JP Morgan Private Bank $500-$600 Billion Fund-of-Funds Multi-Asset Portfolio Construction & Optimization. Presentations to  JP Morgan Global Head of Quant Research & Analytics, JP Morgan US Head of Portfolio Construction, & Team of Managing Directors & Portfolio Managers. JP Morgan Global Headquarters: 270 Park Ave., New York, NY 10017.

• 2012. Malhotra, Yogesh. Applying High Frequency Financial Econometrics for Developing Optimal Predictive Trading Strategies for Market Microstructure. Report to  Goldman Sachs Alumnus' Firm and Tutorial on Vector Autoregressive Moving-Average Processes with Exogenous Regressors (VARMAX) for SAS Large-Scale Data Modeling of Multiple Financial Time Series. Goldman Sachs Alumnus' Firm, New York, NY 10105.

• 2012. Malhotra, Yogesh. An Analysis of 400 State Street Associates Quarterly Scan Alpha Trading Strategies for Alpha & Risk. Presentation to  Goldman Sachs Alumnus' Firm. Goldman Sachs Alumnus' Firm, New York, NY 10105.

• 2012. Malhotra, Yogesh. Why Existing "Alpha" Research is Insufficient for Profitable Hedge Fund Asset Management: An Analysis of Hedge Fund Industry High Frequency Trading and Market Liquidity Developments. Presentation to  Goldman Sachs Alumnus' Firm. Goldman Sachs Alumnus' Firm, New York, NY 10105.

Credit Risk Models

Probability of Default (PD), Loss Given Default (LGD), Expected Default Frequency (EDF), Basel II/III, Exposure at Default (EAD), Worst Case Default Rate (WCDR), Risk Weighted Assets (RWA), Counterparty Risk, CreditMetrics, KMV, VaR, Credit Valuation Adjustment (CVA), Credit Default Swaps, Default Probabilities, Gaussian Copula, Simulations, Large Portfolio Approximation, Stress Testing

Market Risk Models

Volatility Models, ARCH/GARCH, MLE, Portfolio VaR, QMLE, Non-Normality, Cornish-Fisher, Extreme Value Theory (EVT), Expected Shortfall (ES), Coherent/Spectral Risk Measures, Weighted/Filtered/Historical Simulation, Monte Carlo, Backtesting VaRs/ES, Stress Testing, Basel II/III

Interest Rate Derivatives Models

Simulations, Tree Models, Calibrations; Continuous Time, CIR, Vasicek, Merton, Hull-White, BDT, & HJM Models; Bond Options, Treasuries, Coupon Bonds, Caplets, Floorlets, Swap Contracts, Bond Risk Premia, Yield Curve, Markov Regime Switching

Equity Portfolio Models

Derivatives, Mean-Variance Portfolios, CAPM, Passive/Active Portfolio Performance, Multi-Factor Models, Cross-Sectional Returns, Asset Allocation, Risky/Risk-Free Portfolios, Diversification, Risk Pooling, CAPM, Anomalies, Dividend Discount/Growth Models

Fixed Income Portfolio Models

Bond Valuations, Derivatives, Yields, Term Structure, Credit Spread, Credit Risky Bonds, Interest Rate Risk, Portfolio Performance, Passive/Active/Liability Funding, Hedging, Swaps, Forwards, Futures, ABS, MBS.

Goldman Sachs, Google, Intel, IBM, Microsoft, Harvard, MIT, etc.
Founder, Finance-IT-Risk Management & Risk Analytics Ventures
Predictive Analytics-Quant Finance-Cybersecurity Risk Engineering

• B2B Digital Transformation systems with a global user base of millions of worldwide clients and patrons including Goldman Sachs, Google, Intel, IBM, Microsoft, Ogilvy, Harvard, MIT, etc., an opt-in global virtual community of practice of 130,000+, a global virtual research team of 200 PhD industry experts including Distinguished Professors from Top Business Schools such as INSEAD (France) and Kellogg School of Management leading worldwide Digital Transformation and IT and Knowledge Management practices followed by worldwide Fortune 500 and other firms, global national and regional governments, and, Five Eyes Defense Agencies.

Deep Learning Algorithmic Trading Hedge Fund Ventures (US, New York).
World's Top Digital Transformation Site (Best Web Site Award, Computerworld)
World's Top-3 Search Engine (Carnegie Mellon Industry.Net U.S. National Awards).
World's Top-10 Social Network (Global Rankings among others such as LinkedIn).

Interviews and Editorial Reviews of Digital Ventures as global IT benchmarks in worldwide media such as: Harvard Business Publishing, Harvard Management Update, Wall Street Journal, Fortune, Inc., Forbes, Business Week, Fast Company, New York Times, Los Angeles Times, Seattle Times, San Jose Mercury News, Chief Executive, CIO, CIO Insight, Computerworld, Information Week, InfoWorld, etc.
• Integrated in higher education institutions worldwide such as the Harvard MBA and other Harvard University programs.

• Recommended by Business-IT Executives such as Microsoft founder Bill Gates, PwC Vice Chairman & CKO Ellen Knap.
• Recommended by associations such as AACSB, ABA, AICPA, ACM, DoD, IEEE, INFORMS, ISACA, NASA, SHRM, WHO.
• Guiding Cyber-Transformation of the U.S. DoD and the CIOs of U.S. ArmyNavyAir Force, and, Marine Corps.
'Giveaway for Success'™: Over Half-Million Dollars Contributed to Advancing Digital Transformation Practices
Global Network Member Company Executive & CxOs Participation Sponsorships such as: ABB, Bristol-Myers, Ernst & Young, Goldman Sachs, Hewlett Packard, KPMG, McKinsey, Pfizer, PricewaterhouseCoopers, SAP America, Sprint, Toyota, etc. Top-Tier Global Digital Transformation Conference Sponsorships: Locations such as: Amsterdam, Netherlands; Atlanta, GA; Boston, MA; Chicago, IL; Dallas, TX; Helsinki, Finland; Las Vegas, NV; London, UK; Mexico City, Mexico; New Orleans, LA; San Diego, CA; San Francisco, CA; Santa Clara, CA; Vienna, Austria; Washington, DC.
CNET Networks Corporate Computing Award: Most Influential Real World Impact of Research.
Council Partner, U.S. Federal Government, Inter-Agency Benchmarking & Best Practices Council.
CRM Leaders and Legends of Intellibusiness.

Leaders and Legends of Business Intelligence & Data Warehousing.
Knowledge Inc. Top Knowledge Management Experts and Luminaries.

Ziff Davis Who's Who in the Internet Commerce Standard: Led US-Fortune 500 CIOs-CTOs.

Bank of America, Big-3 Banking & Big-3 IT Global Financial Systems
(USA, Hong Kong, India
)
Computer Systems Software Engineering and Financial Programming Projects & Teams Leader for Team projects across USA: e.g. Bank of America: Site Leader, Global Wholesale and Retail Banking, Models Quality Assurance & Models and Systems Integration, and, Systems Implementation Team Leader for Senior Analysts and Analysts; Big-3 IT: Team Leader of Senior Analysts and Analysts leading Modeling & Development of Global Financial Systems used by worldwide Banking and Finance institutions; Hong Kong: e.g. Credit Agricole Corporate & Investment Bank, formerly Banque Indo-Suez: Algorithms Strategist & Technical Lead for Government of Hong Kong Treasury Management and Multi-Currency & Forex Arbitrage; and, India (Mumbai, Delhi): e.g. TATA Group: Global Corporate Strategy Leader for Worldwide Dominance in Global Financial Software Services.

Wall Street Top Investment Banks-Hedge Funds such as JP Morgan (US, Midtown Manhattan):
High Frequency Econometrics, Quant Risk Analytics (Liquidity Risk, Market Risk, Credit Risk), Portfolio Stress Testing, VaR.
Big-3 Banking & Finance Retail & Wholesale Banking such as Bank of America (US, Las Vegas):
• National Treasury Management Multi-Currency Forex-Currency Arbitrage such as CIBC - Banque Indo-Suez (Hong Kong)
Big-3 IT Global Financial Systems, Fortune 500 Banking & Finance: Unisys (US, Atlanta) and TATA (Mumbai, Delhi).

State of New York: IT Administration & Networks Administration,
CISO-
Leader, Cybersecurity, IT Operations & Change Management
• As CISO-Level Cybersecurity-Risk Management IT Administration Leader with over 15-year Professionally Certified IT Security experience and over 20-year Professionally Certified IT experience (CISSP - 2005 , CISA - 2007, CEH - 2014 , CCP-CDP - 1993): Reporting to the CIO-Level role, led implementation of industry-leading practices such as Defense-in-Depth Enterprise Networks and Computer Security & Privacy based on Zero-Trust Cybersecurity Architectures & Networks Segmentation applying industry standards and best practices such as ISO, NIST, FIPS, COBIT, OWASP, Qualys, SANS, PCI-DSS, NYS Cybersecurity Rule, Microsoft, Cisco, and, Fire Eye including Benchmarking & Deployment of Cyber Security Technologies: Applications, Devices, End Points, Hosts, Networks, Operating Systems, Unified Threat Management-Next Generation Firewall, and, Mobile Device Management Systems such as: AirWatch, Check Point, Cisco, FireEye, Fortinet, Fortis, Intel, McAfee, Microsoft, Palo Alto, PDQ Deploy, ProofPoint, Qualys, Sophos, Symantec, VMWare, WatchGuard, etc.

Advisor, Accenture Senior Partners, $100 Billion Hi-Tech & Telecom Firms,
Intel, BT (UK), Philips (Netherlands), NSF
, UN, US & World Governments

Invited Advisor & Thought Leader: Accenture (prior, Arthur Andersen Consulting) Senior Managing Partners and Consulting Practices Founding Partners, British Telecom (UK), Koninklijke Philips N.V. (Netherlands), Conference Board, Institute for Supply Management, Government of Mexico (Mexico City: National Cabinet and Parliamentary Ministers, 13 CIOs, and 600 IT Executives), Government of Netherlands - National Cabinet, Intel Corporation, National Science Foundation (NSF), Silicon Valley Venture Capitalists and Tech CEOs including TiE Global Silicon Valley Senior Leadership, South Korea (Seoul: National Keynote and National TV Interview), United Nations (UN) (New York City World HQ: Global Keynote & Expert Paper), and, United States Federal Government Inter-Agency Best Practices Council Partner.

Government of Switzerland: FinTech Algorithms Global Expert Panel,
Princeton Quant Trading Presentations: Cybersecurity-Quant Finance
Global & National Expert Panels: such as Government of Switzerland Math Industrial Research FinTech Algorithms Global Expert Panel pioneering AI, Algorithms & Machine Learning and Quantitative Finance innovations. Industry-Leading R&D selected for 63 SSRN Top-10 Research Rankings over 2015-2018 including Cyber-Finance-Trust™ frameworks of FinTech-Model Risk Management-Defensive Cybersecurity and FinTech-Model Risk Arbitrage-Offensive Cybersecurity invited for presentations at the 2015 and 2016 Princeton Quant Trading Conferences respectively sponsored by Goldman Sachs, Citadel, SIG, and KCG.

National Association of Insurance Commissioners: National Expert Panel,
State of
New York Cybersecurity Presentations
• Pioneered Cybersecurity Risk Insurance global industry standards and frameworks for the Cybersecurity & Risk Management industry overseen by a cybersecurity experts committee from New York State Cyber Research Institute, the U.S. Air Force Research Lab, & SUNY. Pioneering Global Cyber Insurance Standards as invited expert on Cyber Risk Insurance beyond VaR for the National Association of Insurance Commissioners (NAIC) to avert the adverse impact of current mainstream Cyber Risk Insurance VaR models in use anticipated to cause a Global Insurance Crisis unless corrected by advancing on invited research presentations at the
2016 New York State Cyber Security Conference sponsored by the State of New York Governor, and, the 2015 New York State Cyber Security & Engineering Technology Association Conference.

National Science Foundation: 32 National Expert Panels: SBIR/STTR
U.S. Cyber Security & Cyber Computing Technologies Innovation
National Science Foundation: 32 Cybersecurity & Cyber-Computing National Expert Panels (2002-2005) of Computer Scientists, IT Analysts, and, Venture Capitalists for advancing US Computing and Cybersecurity innovations by authorizing and approving multi-million dollar NSF Small Business Innovation Research (SBIR)/Small Business Technology Transfer (STTR) grants.

AI-KM Research Impact Recognition among Nobel Laureates,
Global Expert Panels of Computer Scientists, CIOs, Economists

Model Risk Management-Knowledge Management-Predictive Analytics research program on AI-KM (Artificial Intelligence & Knowledge Management) recognized among Finance-IT Nobel Laureates such as Black-Scholes & Herbert Simon for real-world impact on global practices by the AACSB and scientific impact studies. Global & National Expert Panels: such as United Nations World HQ Global Economists Panel Quant (New York City World HQ); National Science Foundation (Arlington, VA): Computer Scientists & Cybersecurity Experts - SBIR/STTR - Judge & Referee for Multi-Million Dollar Grants for US Computing and Cybersecurity Innovations; Ziff Davis Global Standard for Internet Commerce: Founding Member and Co-Editor leading US national CEOs, CIOs, and CTOs; WWW Virtual Library on Knowledge Management - part of the WWW Virtual Library Project started by Tim Berners-Lee, the creator of HTML and of the Web itself: Founding Publisher & Editor: followed by global Intellectual Capital and Knowledge Management pioneers.

NYS Offensive and Defensive Cybersecurity Instructor, CompTIA Security+
DoDD 8140 Top-3 IT Security Certifications, CISSP, CISA, CEH; CCP-CDP
• Developed and Delivered Offensive Cybersecurity and Defensive Cybersecurity Infrastructure and Applied Training Programs as State of New York instructor for CompTIA Security+ (2016), IAT Level II, IAM Level I, advancing on Department of Defense Directive 8140 (DoDD 8140) Top-3 Information Security Management & Auditing Certifications (CISSP, CISA, CEH) and Certified Computing Professional-Certified Data Professional (CCP-CDP, 1993):

Developed-taught Defensive & Offensive Cybersecurity Major & CompTIA Security+ for Network Administrators: concluded with its accreditation by the State of New York. Oversight and leadership for development of Penetration Testing and Ethical Hacking IT Infrastructures for developing and delivering applied training to Network Administrators including Introduction to Security, Malware and Social Engineering Attacks, Application and Networking-Based Attacks, Host, Application, and Data Security, Basic Cryptography, Advanced Cryptography, Network Security, Administering a Secure Network, Wireless Network Security, Mobile Device Security, Access Control Fundamentals, Authentication and Account Management, Business Continuity, Risk Mitigation, and, Vulnerability Assessment & Review.

Certified Information Systems Security Professional (CISSP, 2005-Current), CSSP Manager, IASAE Level III, IAM Level III, IAT Level III;
Certified Information Systems Auditor (CISA, 2007-Current), CSSP Auditor, IAT Level III;
Certified Ethical Hacker (CEH, 2014-Current), CSSP Analyst, CSSP Infrastructure Support, CSSP Incident Responder, CSSP Auditor. ~ 2,000 Hour Penetration Testing: Hundreds of Cyber Attacks Using Metasploit, NMap, Wireshark, etc. on Authorized State of New York and EC-Council Darknets.

PhD University Faculty: AI-KM Research impact among Nobel Laureates,
Carnegie Mellon & Kellogg School of Management Executive Faculty,
Computer Scientist, Management Scientist, Information Scientist,
STEM Computer Science, Quantitative Methods, IT & OR, MIS,
SAP ERP, SAP CRM, Entrepreneurship (Kaufman Foundation)

Invited Executive Education Faculty: Carnegie Mellon University (Pittsburgh), Kellogg School of Management (Evanston).
Invited Research Lectures: INSEAD (Fontainebleau, France), Queen's University (Kingston, Canada) School of Business.
Tenure-Track University & College Professor: Performance Management, Mentoring & Assessment of ~ 500 Digital Enterprise & Quant Analytics, and, Interactive Web Development and Penetration Testing-Ethical Hacking Project Teams composed of ~ 2,000 current and future Business Technology Managers, Supply Chain Managers, and, Project Managers; Interactive Web Computing Developers and Telecommunications Network Administrators.

Computer Scientist - STEM Computer Science Professor, Offensive & Defensive Cybersecurity, Advanced Analytics, OOP, MIS (2015-2016), State University of New York (Advanced Analytics, MIS, Object Oriented Programming, Offensive Cybersecurity, Defensive Cybersecurity; CompTIA Security+ for Network Administrators; AI, Algorithms, Machine Learning Evangelist);
Management Scientist - Associate Professor: Quantitative Methods Faculty: Predictive Analytics and Knowledge Management Expert: Research Impact among Nobel Laureates in AACSB & Scientific Impact Studies - IT & Operations Research MBA Faculties: Assistant Professor of Quantitative Methods (2001-2008), Promoted to Associate Professor (2008-2009): Syracuse University MBA Faculties of IT and Operations Research (Advanced Analytics, Decision Support Systems, Decision Science Models, Management Science, MIS, e-Business, Knowledge Management);
Information Scientist - Assistant Professor: Management Information Systems: Predictive Analytics: Research Impact among Top-3 Knowledge Management Scholars-Practitioners in ISWorld Rankings : IT & Operations Research MBA & Executive MBA Faculties (1998-2001), State University System of Florida (Advanced Analytics, e-Business, Knowledge Management, MIS, MS-Excel, VBA, MS-Access)

Information Scientist: Predictive Analytics: Academy of Management - Best Reviewer Award - Organizational Communication & Information Systems: Academy of Management Doctoral Consortium Fellow, Technology & Innovation Management and Organizational Communication & Information Systems: Association for Information Systems Doctoral Consortium Fellow: Management Information Systems: Lecturer in Final-Year of PhD Completion - College of Business Faculty (1998-1998), University of Pittsburgh (MIS).
SAP University Alliance, SAP ERP/CRM Innovation Grants, Syracuse University, 2003
- Certified as University SAP ERP Teaching Faculty, SAP University Alliance

- Certified as University SAP CRM Teaching Faculty, SAP University Alliance

Kaufman Foundation, Entrepreneurship Innovation Grant, Syracuse University, 2003
- Certified as University Entrepreneurship Teaching Faculty, Kaufman Foundation, LLEEP

Marquis Who's Who in America®,
Marquis Who's Who in the World®
Marquis Who's Who in Finance & Industry®,
Marquis Who's Who in Science & Engineering
®

• Selected for inclusion in Marquis Who's Who® biographical profiles of worldwide leaders and achievers from both the United States and around the world in:

Marquis Who's Who in the World®, Since 1999.
Marquis Who's Who in Finance & Industry®, Since 2001.
Marquis Who's Who in America®, Since 2002.
Marquis Who's Who in Science & Engineering®, Since 2006.

SKILLS
line

AI, Algorithms & Machine Learning; Algorithmic Trading & Risk Management
Quant Risk Analytics Leading Wall Street Investment Banks & Hedge Funds

• 20+ year PhD & Post-PhD AI, Algorithms, and, Machine Learning R&D enhanced by Quant Risk Analytics leaderships of Wall Street Investment Banks-Hedge Funds with $1 Trillion AUM such as JP Morgan Private Bank: Quantitative Finance, Finance-IT-Risk Management: Statistics & Probability, High Frequency Econometrics, Optimization, Computer Science, Cryptanalytics, AI, Algorithms, Machine Learning: Regressions, Structural Equations, ARCH/GARCH,  VaR, ES, EVT, Bayesian Inference, Markov Chain Monte Carlo.

Statistical Modeling & Machine Learning Algorithms Predictive Modeling Analytics
Leading Wall Street CFOs Beyond Predictive Analytics to Anticipatory Risk Analytics

• 20+ year Pioneer of Post-PhD Statistical Modeling-Machine Learning Predictive Modeling Analytics advancing beyond Predictive Analytics to Anticipatory Risk Analytics R&D leading Wall Street CEOs and CFOs. Model Risk Management research recognized among 'exemplars' of 'considerable impact on actual practice' such as Finance-IT Nobel Laureates such as Black-Scholes & Herbert Simon, and, applied by Big Banks and NASA. CNET Networks Corporate Computing Award for Most Influential Research.

Deterministic, Stochastic, &, Non-Deterministic Data Analytics Methodologies
Princeton University
Invited Presentations Leading Quant Finance & Trading

• 20+ year PhD & Post-PhD Leadership in development and advancement of Deterministic, Stochastic, &, Non-Deterministic Data Analytics Methodologies published in Top Academic Research Journals and Proceedings including AI, Algorithms, and, Machine Learning Models presented at 2015 & 2016 Princeton Quant Trading Conference recognized for 63 SSRN Top-10 Research Rankings over 2015-2018 with recent and forthcoming articles in peer-reviewed journals such as Journal of Operational Risk (2018) and IUP Journal of Computer Sciences (2017).

Digital Ventures Development: World's Top-Ranked Digital Ventures
Leading Worldwide Digital Transformation of Firms & Governments

• Developed and Programmed Computerworld's Top Digital Transformation Site, Top-3 Search Engine, and, Top-10 Social Network (1993-1998) with clients and patrons such as Goldman Sachs, Google, Intel, IBM, and Microsoft after getting certified as a Certified Computing Professional-Certified Data Professional (CCP-CDP, 1993). Digital Ventures applied by the US DoD and CIOs of U.S. Army, U.S. Navy, U.S. Air Force, and, U.S. Marine Corps for defining and implementing their Cyber-Transformations and applied by worldwide firms and governments for their digital transformation (1995-2002).

Computer Systems Programming, Numeric & Scientific Computing, OOP
Wall Street Hedge Funds, Big-3 Finance, Big-3 IT, Algorithmic Trading

• 20+ year Computer Systems Programming in dozens of Numeric & Scientific Computing Languages, Object-Oriented Languages, 4GLs, and, 3 GLs including Python (SciPy, NumPy, Pandas) Deep Learning (DL) and Machine Learning (ML) frameworks such as Scikit-Learn, TensorFlow, and Keras, and, Neural Networks such as DNNs, RNNs, and, CNNs; C, C++, C++11, MS-Access, MS-Excel, VBA, Bloomberg, JavaScript, JQuery, Python, Unix, Linux, cgi, perl, PHP, mySQL, SPSS (IBM), SAS (SAS Institute), MATLAB (MathWorks), AMOS (IBM), LISREL, PLS, SAP-CRM, SAP-ERP, SQL, MAPPER (Unisys), LINC (Unisys), DASDL (Unisys), COBOL, FORTRAN, and, ALGOL. Data Science and Machine Learning Algorithms and Models such as Econometric Structural Models, Partial Least Squares Path Models, Structural Equation Models, Linear and Logistic Regressions, Principal Component Analysis, Factor Analysis, KNN Classifier and K-Means Clustering, etc. with continued focus on Parametric and Nonparametric Machine Learning Algorithms.

Predictive Analytics & Machine Learning Algorithms Expert in IT & Cybersecurity
40 Editorial Boards & Expert Reviewer Panels in U.S. Research Academia

Editorial Boards and Expert Reviewer Panels (1993-Current) of more than 40 internationally ranked Computer Science, Decision Sciences, Information Technology, IT Economics, MIS, and, Network Sciences research journals, international conferences, and global publishers such as ACM, IEEE, IBM, Cambridge University Press, Harvard Business School Publishing, and, Springer-Verlag: recently, invited expert referee on Cybersecurity Industrial Research for the Society for Modeling & Simulation International's Journal of Defense Modeling and Simulation (JDMS, Sage Publications) focus on STIX, TAXII, Bayesian Networks, and, Markov Chain Monte Carlo Models (2016).

Predictive Analytics & Machine Learning Models Expert in IT & Risk Management
100 Scientific Research Peer-Review Reports on Quant Models Validations

• 20+ year PhD & Post-PhD Leadership in Quantitative, Statistical, Structural, and, Machine Learning Predictive Analytics Model Validation Reviews. Wrote more than 100 invited Peer-Review Reports of Empirical & Scientific Research as a referee for research manuscripts submitted for publication in Top Academic Research Journals. Received the Best Reviewer Award from the Academy of Management for the referee peer-review of Structural Equation Modeling based Machine Learning models selected for Academy's Best Paper award.

Quant Measurement & Modeling of Digital and Knowledge Assets
Leading United Nations in Economic Modeling of Digital Assets
United Nations World Head Quarters Global Economists Expert Panel (2003) as Quant Expert on the Measurement of National Digital-Knowledge Assets including development of a Balanced Score Card Framework for National Digital & Knowledge Assets Measurements advancing on pioneering practices resulting in 'Over Half-Million Dollars Contributed to Advancing Digital Transformation Practices' via our global digital social enterprise network clients and patrons including world's largest Finance, IT, and, Consulting firms.

Financial Accounting & Auditing, CPA (Education), NYS AICPA
5,000 Hour Analysis of the Global Financial Crisis Risk Modeling Failures

Certified Public Accountant (C.P.A.) Education Requirements Fulfilled, AICPA, State of New York.
~ 5,000 Hour Analysis of the Global Financial Crisis and Risk Management Model Failures
(2009-2010):
Advancing on AI-KM (Artificial Intelligence & Knowledge Management) R&D selected for CNET Corporate Computing Award (2002) and AACSB Research Impact among Nobel Laureates (2008) critically analyzed as a trained information systems auditor and financial accounting auditor three key premises of global financial economics in practice that will continue to be the subject of Financial Economics Nobel prizes given changing nature of ‘assets’ and changing nature of ‘risk’ in the Cyber-Crypto Quantum era, namely, efficiency of markets, rationality of behaviors, and, symmetric availability as well as application of information.

Engineering Technology Innovations & Process Engineering, C.Eng.
Transnational Technology Development & Tech Transfer

Chartered Engineer (C.Eng.) and Life Member of the Institution of Engineers having already made significant applied and industrial practice contributions while transitioning industrial expertise across production engineering, process engineering, transnational technology knowhow transfer, and, enterprise financial systems of global and multinational American, Indian, and, Japanese automotive and process-engineering firms.

IMPACT
line

How applied R&D leads global real-world practices:

"Recently, such probabilistic, statistical, and numerical methods related concerns are in globally popular press related to cybersecurity controls and compliance. Earlier, similar probabilistic, statistical, and numerical methods related concerns were in the global popular press in the context of the Global Financial Crisis. Future questions focused on the underlying assumptions and logic may focus on related implications for compliance, controls, valuation, risk management, etc. Likewise, recent developments about mathematical entropy measures shedding new light on apparently greater vulnerability of prior encryption mechanisms may offer additional insights for compliance and control experts. For instance, given related mathematical, statistical and numerical frameworks, analysis may also focus on potential implications for pricing, valuation and risk models. The important point is that many such fundamental assumptions and logic underlying widely used probabilistic, statistical, and numerical methods may not as readily meet the eye."

Source: Interview: Bitcoin BlockChain Cryptographic Protocols, Hong Kong Institute of CPAs, January 20, 2014.
Reference: First Research Report on Bitcoin 'Cryptographic Proof' preceding Goldman Sachs, December 04, 2013.

"[T]he approaches to mitigate operating risk associated with the use of models need to evolve to reflect recent trends in the Finance Industry. In particular there are a number of new areas where it is not possible for the "human eye" to necessarily detect material flaws: in the case of models operating over very small time scales in high frequency algorithmic trading, or for portfolio risk measurement models where outputs lack interpretability due to high-dimensionality and complex interactions in inputs, the periodic inspection of predicted versus realized outcomes is unlikely to be an effective risk mitigate. These situations require a holistic validation framework of the system focused on identifying and mitigating potential failures, taking into account the models’ objectives, their implementation including the joint interaction of software and hardware, their response to potential input shocks in real time and the fail-safe mechanisms."

Model Risk Management Managing Director/Executive Director,
Top Wall Street Investment Bank, NYC;
Interviewed: March 21, 2014.

DIGITAL TRANSFORMATION PRACTICES LEADING GLOBAL FIRMS & GOVERNMENTS
Google  IBM  Intel  Microsoft  OgilvyOne
 Cisco  SAP  Verisign  European Commission  Government_of_UK

• Founder, Finance-IT-Risk Management Computational, Quant, and Analytics Ventures, with clients & patrons such as Goldman Sachs, Google, HP, IBM, Microsoft, Harvard Business School MBA Program, Harvard Business Publishing, Harvard University, MIT, Maeil Business Network (South Korea), Princeton University, Ogilvy, Philips (Netherlands), Stanford University.

• Prior Banking & Finance Analytical & Modeling Project Leaderships for Bank of America, Las Vegas; Crédit Agricole Corporate and Investment Bank, Hong Kong (formerly, Banque Indo-Suez, Hong Kong); Wells Fargo (formerly, Davenport Bank & Trust Company, Davenport, IA), and, Big-3 IT for Global Financial Systems of worldwide banks.

Digital Transformation Research & Practices Leading Global Firms & Governments

  • Goldman Sachs, Google, Harvard, IBM, Intel, MIT, Microsoft, NASA, Ogilvy
  • Big-4 Consulting, Intel, British Telecom, Philips, Silicon Valley VCs-CEOs
  • Big-3 IT & Finance, Bank of America, Crédit Agricole, Wells Fargo, TATA
  • Global Digital Transformation Leaderships: Digital Assets, Markets & Exchanges Practice
  • US & World Governments, Silicon Valley & Wall Street Thought Leader
  • Global Digital Transformation Practices Leader: e-Business & Knowledge Management
  • Global R&D: Quant FinTech-Computer Science-Cybersecurity-Algorithms-Machine Learning
  • UPMC Digital Transformation: Process Management, Change Management, & Strategy Deployment
  • Founder & Programmer: Computerworld Top Digital Site, Top-3 Search Engine, Top-10 Social Network
  • 'Giveaway for Success'™: Over Half-Million Dollars Contributed to Advancing Digital Transformation Practices
    • Top-Tier Global Digital Transformation Conference Sponsorships: Locations such as: Amsterdam, Netherlands; Atlanta, GA; Boston, MA; Chicago, IL; Dallas, TX; Helsinki, Finland; Las Vegas, NV; London, UK; Mexico City, Mexico; New Orleans, LA ; San Diego, CA; San Francisco, CA; Santa Clara, CA; Vienna, Austria; Washington, DC.
    • Global Network Member Company Executive & CxOs Participation Sponsorships such as: ABB, Bristol-Myers, Ernst & Young, Goldman Sachs, Hewlett Packard, KPMG, McKinsey, Pfizer, PricewaterhouseCoopers, SAP America, Sprint, Toyota, etc.

ANTICIPATORY & PREDICTIVE QUANT RISK ANALYTICS LEADING CFOs & CROs

Goldman Sachs  JP Morgan Asset Management  Princeton University  Wall Street Hedge Fund
MarkovChainMonteCarloBitcoinProtocolBlockchainCryptographicProofOfWork  Princeton Quant Trading Conference 2016  Number Field Sieves Algorithmic Cryptanalysis

Chief Research Scientist, Wall Street Top Investment Banks Project Leaderships of Modeling and Investment Portfolios for Banks with $1 Trillion AUM such as JP Morgan Multi-Asset Portfolio Fund of Funds with $500-600 Billion AUM, and, a Goldman Sachs Alumnus' Asset Management Firm with $400-500 Billion AUM in Midtown Manhattan, New York City.

Project Leader, JP Morgan Private Bank Portfolio Liquidity Risk Modeling Framework, reporting to and guiding Global Head of Quantitative Research & Analytics, US Head of Portfolio Construction and team and Team of Managing Directors and Portfolio Managers as Technical Expert and Project Leader.

Project Leader, JP Morgan Private Bank Portfolio Optimization & VaR Stress Testing, reporting to and guiding Global Head of Quantitative Research & Analytics, US Head of Portfolio Construction and team and team of Quant Risk Analytics as Technical Expert and Project Leader.

Project Leader, Goldman Sachs Alumnus’ Asset Management Firm, High Frequency Econometric Modeling of Co-integrated Time Series and Liquidity Microstructure Modeling reporting to and guiding Sr. VP/Portfolio Manager and team.

Credit Risk Models

Probability of Default (PD), Loss Given Default (LGD), Expected Default Frequency (EDF), Basel II/III, Exposure at Default (EAD), Worst Case Default Rate (WCDR), Risk Weighted Assets (RWA), Counterparty Risk, CreditMetrics, KMV, VaR, Credit Valuation Adjustment (CVA), Credit Default Swaps, Default Probabilities, Gaussian Copula, Simulations, Large Portfolio Approximation, Stress Testing

Market Risk Models

Volatility Models, ARCH/GARCH, MLE, Portfolio VaR, QMLE, Non-Normality, Cornish-Fisher, Extreme Value Theory (EVT), Expected Shortfall (ES), Coherent/Spectral Risk Measures, Weighted/Filtered/Historical Simulation, Monte Carlo, Backtesting VaRs/ES, Stress Testing, Basel II/III

Interest Rate Derivatives Models

Simulations, Tree Models, Calibrations; Continuous Time, CIR, Vasicek, Merton, Hull-White, BDT, & HJM Models; Bond Options, Treasuries, Coupon Bonds, Caplets, Floorlets, Swap Contracts, Bond Risk Premia, Yield Curve, Markov Regime Switching

Equity Portfolio Models

Derivatives, Mean-Variance Portfolios, CAPM, Passive/Active Portfolio Performance, Multi-Factor Models, Cross-Sectional Returns, Asset Allocation, Risky/Risk-Free Portfolios, Diversification, Risk Pooling, CAPM, Anomalies, Dividend Discount/Growth Models

Fixed Income Portfolio Models

Bond Valuations, Derivatives, Yields, Term Structure, Credit Spread, Credit Risky Bonds, Interest Rate Risk, Portfolio Performance, Passive/Active/Liability Funding, Hedging, Swaps, Forwards, Futures, ABS, MBS.

PRINCETON QUANT PRESENTATIONS LEADING ALGORITHMIC FINANCE & TRADING

*2016 & 2015 Princeton Quant Trading Conference: Sponsors: Goldman Sachs, Citadel, SIG, KCG Holdings.
Princeton University

Goldman Sachs  JP Morgan Asset Management  Princeton University  Wall Street Hedge Fund
MarkovChainMonteCarloBitcoinProtocolBlockchainCryptographicProofOfWork  Princeton Quant Trading Conference 2016  Number Field Sieves Algorithmic Cryptanalysis


2015 & 2016 Princeton Quant Trading Conference: Invited Post-Doctoral Presentations, Princeton University.

Risk Management Analytics beyond 'Prediction'​ to 'Anticipation of Risk'

• Risk Management Analytics program pre-anticipating Wall Street CFOs & CROs need to “anticipate risk” by a decade.
• Advancing Fed/OCC SR11-7 and OCC 2011-12 Model Risk Management (MRM) Execution.
• Named among others such as Black-Scholes, Markowitz, Sharpe as "exemplar"​ of "considerable impact on actual practice"​
- AACSB International Impact of Research Report, 2008.
• CNET Networks Corporate Computing Award for Most Influential Research, 2002.
• Interviews and Reviews of Related Research in: Wall Street Journal, Fortune, Inc., CIO, etc.

2016 Princeton Quant Trading Conference, Princeton University 
Sponsors: Princeton University, Goldman Sachs, Citadel
FinTech-Model Risk Arbitrage and Open Systems Finance,
'The Biggest Short': Beyond Model Risk Management to Model Risk Arbitrage

2015 Princeton Quant Trading Conference, Princeton University
Sponsors: Princeton Bendheim Center & ORFE, Citadel, KCG
Future of Finance beyond 'Flash Boys'
Risk Modeling for Managing Uncertainty in Increasingly Non-Deterministic Cyber World

• Math-FinTech-Algorithms: Transformation of Finance for Switzerland
Sponsor: Switzerland Federal Department of Economic Affairs:
Digital Transformation of Global Banking & Finance, 2016.

2015-2018: 63 SSRN Top-10 Research Rankings: Top-3% SSRN Authors: Post-Doctoral Research:
Computational Quant Finance; AI & Decision Modeling; Algorithms & Machine Learning.

Deep Learning Algorithmic Trading Hedge Fund Ventures: Algorithms, Machine Learning, Deep Learning.
Deep Learning Algorithmic Trading Hedge Funds - inspired by Benoit B. Mandelbrot - advancing on FinTech Anticipatory Risk Analytics-Model Risk Arbitrage Strategies presented at Princeton building on Wall Street Hedge Funds leadership with recent Python Quant focus on TensorFlow Deep Neural Networks etc. given interest in Volatility and Convexity derivatives.

LEADING GLOBAL CYBERSECURITY RISK ENGINEERING PRACTICES

National Association of Insurance Commissioners (NAIC) National Expert Panel: Computational Quant Finance-Cybersecurity-Risk-Insurance-Catastrophe Modeling    New York State Cybersecurity Conference 2016   NYSETA New York State Cyber Security and Engineering Technology Association Presentation   NationalScienceFoundationNSF  US Under Secretary of Defense 
 United States Army United States Navy  United States Air Force  Royal Australian Air Force (RAAF) AIRCDRE  Government of UK, Ministry of Defence  Canadian Department of National Defence, Canada, Defence R&D Canada

2002-2005 National Science Foundation: 32 National Expert Panels: Cybersecurity & Cyber-Computing specialists (Computer Scientists, Venture Capitalists, IT Analysts) as judge & referee for allocating multi-million dollar SBIR/STTR innovation grants for US Cybersecurity & Cyber-computing computing technology innovation and commercialization.

Department of Defense Directive 8140 (DoDD 8140) IT Security Management & Auditing Certifications
:
CISSP (Since 2005): DoDD 8140 - CNDSP Manager, IAM Level III, IAT Level III, IASAE II
CISA (Since 2007): DoDD 8140 - CNDSP Auditor, IAT Level III
CEH (Since 2014): DoDD 8140 - CNDSP Auditor, Incident Responder, & Infrastructure Support.


State of New York: IT Administration and Networks Administration: CISO-Level Cyber Security & Risk Management Leader (CISSP, CISA, CEH, CCP-CDP): IT Governance, Operations, & Change Management, and, STEM Computer Science Professor: Advanced Analytics, Object Oriented Interactive Web Programming, Telecom-Network Security – Defensive & Offensive Cybersecurity and Security+ Network Security Certification Curriculum.

CISO-Level Cybersecurity-Risk Management Leader: IT Administration & Networks Administration, Government Administration, State of New York Civil Services, reporting to CIO-Level role.

• Defense-in-Depth Enterprise Networks and Computer Security & Privacy Leader: Enterprise Networks-Perimeter & Networks Segmentation; Enterprise Hosts & Server End Point Protection Security; Enterprise User Access Controls, Credentials, Passwords; Enterprise Security Content Automation Protocol Implementation; Enterprise Microsoft Network Operating Systems & Applications Security; Enterprise Mobile Device Management & Multi-Factor Authentication.
• Zero-Trust Cybersecurity Architectures & Networks Segmentation Leader: Zero-Trust Network Segmentation; Security Content Automation Protocol (SCAP); Validation & Audit of IP Networks Subnets & VLANs; OWASP Secure Coding Practices; Audit of Virtual Private Networks using RADIUS; AD-GPM Default Domain Controllers Policy for Network Security Reconfiguration & Implementation; AD-GPM Default Domain Policy Reconfiguration & Implementation; AD-GPM Password Security Objects (PSOs) Development & Configuration.

Post-Doc Network & Computer Security Research Pioneering Cybersecurity Risk Insurance Modeling leading global industry standards and frameworks for the Cybersecurity and Risk Management industry. Advisors: Executive Director, New York State Cyber Research Institute, Prior Chief Scientist, Air Force Research Lab / Information Directorate; Program Manager & Principal Computer Engineer, Information Directorate, Air Force Research Laboratory / Information Directorate.

2016-2017 National Association of Insurance Commissioners, National Cybersecurity Expert Panel
Advisory Committee: Distinguished Scientists: AFRL, New York State Cyber Research Institute, SUNY

Advancing Cyber Risk Insurance Underwriting Model Risk Management beyond VaR
to Pre-empt and Prevent the Forthcoming Global Cyber Insurance Crisis

Mainstream insurance industry practitioners have adopted Value-at-Risk (VaR) from global Banking & Finance industry as the pre-dominant cyber insurance model being oblivious to both distinguishing characteristics of cyber-risks as well as statistical properties of VaR. Such widespread misapplication of VaR for cyber risk insurance underwriting unless abated and corrected is expected to lead to a global cyber-insurance crisis that may dwarf the worldwide economic shock from the global financial crisis. Given worldwide high impact of increasingly global cyber-attacks, the current R&D advances cyber risk insurance underwriting model risk management beyond VaR to pre-empt and prevent the forthcoming global cyber-insurance crisis.
Cyber Risk Insurance Industry Quant Risk Analytics Standards Development

•Pre-empting the forthcoming Global Cyber Insurance Crisis by
Pioneering Cyber Risk Insurance Models beyond Value-At-Risk (VaR) Analytics.

• To avert the impending Global Cyber Insurance Crisis resulting from large-scale commercial reliance upon quantitative models with inherent model risks, tail risks, and systemic risks in current form, this dissertation makes the following key contributions.
• First, we develop the first known Cyber-Finance-Trust™ framework for Cyber insurance modeling to analyze how finance risk entangled with Cyber risk further exacerbates the systemic, interdependent, and correlated character of Cyber risks.
• Second, we develop the first known model risk management framework for Cyber insurance modeling as model risk management has received sparse attention in Cyber risk assessment and Cyber insurance modeling. 
• Third, our review of quantitative models in Cyber risk and Cyber insurance modeling develops the first known analysis establishing significant and extreme model risks, tail risks, and, systemic risks related to predominant models in use.
• Fourth, we develop an empirical study of VaR and Bayesian statistical inference methodologies with specific guidance for containing model risks by applying multiple simple and advanced models for cross-checking the reliability of VaR.
• Fifth, we develop an analysis of the Markov Chain Monte Carlo Models, Gibbs Sampling and Metropolis-Hastings statistical computing algorithms for enabling Bayesian statistical inference methodologies to minimize model risk in Cyber risk and Cyber insurance risk modeling for the specific context of cybersecurity.
• Sixth, we develop the first known portfolio theory based framework for Cyber insurance modeling with guidance to minimize model risks, tail risks, and systemic risks inherent in models in commercial Cyber insurance modeling.
• Finally, given increasing role of uncertainty in cyber (and financial) risk modeling and management, we develop a framework for enabling Knightian uncertainty management relating it to model risk management.

Digital Transformation & Knowledge Management Pioneer

CyberspaceOrganizations

Published: 2000

"In his latest book, Knowledge Management and Virtual Organisations, KM luminary, Dr. Yogesh Malhotra, offers some cautionary advice. He exposes three myths often associated with KM solutions."
- Microsoft

Microsoft

CyberspaceBusinessModels
Published: 2001
"Knowledge Management and Business Model Innovation is an important addition to the IS researcher's bookshelf. It brings together the latest thinking on issues at the forefront of teaching innovation and professional imagination."
- M. Lynne Markus
, Professor and Department Chair of Electronic Business, City University of Hong Kong
city-university-hong-kong

Pioneering AI & Decision Modeling; Algorithms & Machine Learning; CyberSecurity Risk Engineering

Princeton University
CyberspaceBusinessModels
Journal Articles & Reports
1993-Present

2015-2018: Princeton Quant Trading Conference, Invited Research Presentations
Sponsors: Princeton University, Goldman Sachs, Citadel, SIG, KCG.
AACSB & Scientific Studies Research Impact among Finance & IT Nobel Laureates,
Reviewed & Referenced in Top Business-IT-Finance Institutions & Publications.

2015-2018: 63 SSRN Top-10 Research Rankings: Top-3% SSRN Authors:
Computational Quant Finance; AI & Decision Modeling; Algorithms & Machine Learning.


RESEARCH & PUBLICATIONS
- Download Full-Text Articles

Artificial Intelligence, Machine Learning & Deep Learning;
Data Science, Knowledge Management, Cognitive Computing;
CyberSecurity Risk Engineering; Quantum Cryptography:
Frameworks, Models, Methods & Metrics in Applied Research


*MIT Sloan-CSAIL *Princeton *Goldman Sachs *RISK.Net *MRM
*SSRN *GoogleScholar *LinkedIn

 


Developed Computerworld's Top Digital Research Site, Top-3 Search Engine, & Top-10 Social Network
Top-Ranked Digital Research Site: Computerworld Best Web Site Award
Top-3 Search Engine: Carnegie Mellon University Industry.Net National Awards
Top-10 Social Network: Popular Rankings among others such as LinkedIn 
Led Global Virtual Community of Practice of 130,000+ to Pioneer Digital Transformation Practices
Millions of worldwide users included Global-2000 Corporations and G-20 World Governments.
 
Scientific Editorial Expert Panels: Peer-Reviewed Research
IT, Computer Science, Decision Sciences, Network Sciences
Editorial Panels: Global & U.S. Publishers
  • American Management Association
  • Butterworth-Heinemann Business Books
  • CRC Press
  • Cambridge University Press
  • Harvard Business School Publishing
  • McGraw-Hill Higher Education
  • Perseus Books
  • Prentice Hall Professional Reference
  • Sage Publications
  • Springer-Verlag

Editorial Panels: International Conferences

  • Academy of Management
  • Association for Information Systems
  • Hawaii International Conference on System Sciences
  • Information Resources Management Association
  • International Conference on Information Systems.

 

Associate Editor: Journals

  • e-Service Quarterly (Indiana University Press)
  • Information Resources Management Journal

International Editorial Advisory Boards: Journals

  • Knowledge Management (UK)
  • The Learning Organisation: An International Journal (UK)
  • International Journal of Nuclear Knowledge Management  (France)
  • Global Journal of e-Business and Knowledge Management (Indian Institute of Technology, Delhi)

Journal Special Issues Editor & Associate Editor

  • ACM Transactions on Management Information Systems
  • Expert Systems with Applications: An International Journal Information Resources Management Journal Information Strategy: The Executive’s Journal
  • Journal of Global Information Management

Editorial Review Panels: Journals

  • Communications of the ACM
  • Decision Sciences
  • IBM Systems Journal
  • IEEE Transactions on Engineering Management
  • Information Resources Management Journal
  • International Journal of Human-Computer Studies
  • International Journal of Information Management
  • Journal of the American Society for Information Science and Technology
  • Journal of Association for Information Systems
  • Journal of Defense Modeling & Simulation (Sage)
  • Journal of Developmental Entrepreneurship
  • Journal of Information Technology and Management
  • Journal of Management
  • Journal of Management Information Systems
  • Journal of Organizational Computing and Electronic Commerce
  • Journal of Strategic Information Systems
  • MIS Quarterly
  • OMEGA - The International Journal of Management Science

FinTech: Wall Street & IT: Goldman Sachs, Google, HP, IBM, Intel, Microsoft, Ogilvy, Wells Fargo
Consulting Firms
: Accenture, Ernst & Young, McKinsey, PricewaterhouseCoopers
Business Schools: Harvard, MIT, Princeton, Stanford, UC Berkeley, Wharton
Associations
: AACSB, ABA, ACM, AICPA, AOM, APICS, ASTD, ISACA, IEEE, INFORMS
World Governments: Australia, Canada, European Union, United Kingdom, United States
U.S. Defense
: AFRL, Air Force, Army, CCRP, Comptroller, DISA, DoD, Marines, NASA, Navy
World Defense: Australia (Air Force), Canada (Defence R&D), UK (Ministry of Defence)
World Health: World Health Organization (WHO), U.S. Department of Health & Human Services,
European Health Management Association, U.K. Department of Health, UNESCO, UNDP
Larger Sample

British Telecom UK Cisco Systems IBM Intel Corp. Microsoft

U.S. DoD DISA US Air Force Royal Australian Air Force Government of UK, Ministry of Defence Canadian Department of National Defence

Harvard Business School Stanford Graduate School of Business Wharton School Princeton University UC Berkeley Haas School of Business

MIT Sloan School of Management MIT PressHarvard UniversityStanford School of Medicine

Stanford UniversityMIT 50 K Entrepreneurship CompetitionMIT LibrariesYale Law Journal NASA

Fortune Inc. Business WeekNew York TimesWall Street Journal

Forbes Fast CompanyHarvard Business Press Publishing Computer World Information Week InfoWorld CIO Magazine

ForbesBusiness Week San Jose Mercury NewsInfoWorld American Institute of Certified Public Accountants (AICPA) AACSB International

ACM IEEE AACSB International American Society for Training and Development American Bar Association

And Elsewhere...

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Research & Practices:
Dr. Yogesh Malhotra: [AI, Algorithms & Machine Learning] [Computational Quantitative Analytics] [Cybersecurity Risk Engineering] [Digital Transformation] [Computational Quant Finance & Trading] [FinTech: 'Rethinking Finance']: IMPACT: RESEARCHWall Street Quant: Big-3 Finance-IT LeaderResearch Impact among Nobel LaureatesPrinceton Quant Trading PresentationsVentures: Honors: *Research Impact *Beyond 'Prediction' *Future of Finance *Beyond VaR *Model Risk Management *Future of Risk *Cyber Risk *SSRN *Google Scholar *Publications *Projects *Goldman Sachs *JP Morgan *Wall Street Hedge Funds *Princeton Presentations *Model Risk Arbitrage *Cyber Finance *Cyber Risk Insurance *Quantum Crypto *Bayesian vs. VaR *Markov Chain Monte Carlo *Wireless Mobile Trust Models *VoIP Pen Testing Frameworks *Bitcoin Cryptanalytics *NFS Cryptanalytics Algorithms


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PROJECTS
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Over 20-Years of Cybersecurity, Computer & Network Security, Information Security and Finance-IT-Risk Management Strategic, Operational, and, Tactical Leadership roles with Wall Street Investment Banks-Hedge Funds with $1 Trillion AUM such as JP Morgan; Big-3 Finance-IT Banking and IT firms such as Bank of America and Unisys Corporation, and, Management Consulting clients such as Intel Corporation. Recent Cybersecurity-Risk Management CISO-Level role reporting to CIO-Level role, New York State IT Administration, New York State Civil Services, Government Administration of 1,000 internal users responsible for 100,000 constituents of the New York State.  Digital Transformation Strategy clients-patrons such as Goldman Sachs, Google, Harvard, IBM, Microsoft, MIT, and Ogilvy; US Federal Government and world governments and nations such as Switzerland, Netherlands, Mexico, and, South Korea. Founded Digital Ventures leading worldwide CEO-CIO practices followed and recommended by IT leaders such as Microsoft founder Bill Gates; CIOs of U.S. Army, U.S. Navy, U.S. Air Force, and, U.S. Marine Corps; and, Big-4 Consulting CKOs, and, profiled as industry benchmarks in editorial reviews and interviews in Business-IT press including Wall Street Journal, Fortune, Inc., Fast Company, Business Week, New York Times, Computerworld, Information Week, CIO Enterprise, and, CIO Insight.

Global Cybersecurity Risk Insurance industry standards leading invited presentations at 2015 and 2016 Princeton Quant Trading Conference on Cyber-Risk Insurance, and, Cyber-Finance at the Princeton University. Related Cyber Insurance and Risk Management post-doctoral research ranked by SSRN in 41 Top-10 Research Rankings and in Top-10% SSRN Authors for 2015-2017. Advanced upon strategic and technical hands-on leadership of Wall Street investment banks with $1 Trillion AUM such as JP Morgan guiding Executive Directors, Managing Directors, and, Portfolio Managers. As technical expert and projects’ and teams’ leader in Finance-IT-Risk Management industry and New York State government leadership roles, defined, designed, executed, and, implemented regulatory and industry standards and best practices ensuring compliance with Federal, State, Industry, and, Vendor-specific Cybersecurity and Risk Management criteria such as ISO, NIST, FIPS, COBIT, OWASP, Qualys, SANS, PCI-DSS, NYS Cybersecurity Rule, Microsoft, Cisco, Fire Eye, etc. Cybersecurity Risk Engineering for Leading Cyber Deterrence including Benchmarking & Deployment of Cyber Security Technologies: Applications, Devices, End Points, Hosts, Networks, Operating Systems, Unified Threat Management-Firewall, and, Mobile Device Management Systems such as: AirWatch, Check Point, Cisco, FireEye, Fortinet, Fortis, Intel, McAfee, Microsoft, Palo Alto, PDQ Deploy, ProofPoint, Qualys, Sophos, Symantec, VMWare, WatchGuard, etc.

Department of Defense Directive 8140 (DoDD 8140) IT Security Management & Auditing Certifications:
CISSP (Since 2005): DoDD 8140 - CNDSP Manager, IAM Level III, IAT Level III, IASAE II
CISA (Since 2007): DoDD 8140 - CNDSP Auditor, IAT Level III
CEH (Since 2014): DoDD 8140 - CNDSP Auditor, Incident Responder, & Infrastructure Support.



2002-2005 National Science Foundation: 32 National Expert Panels
Cybersecurity & Cyber-Computing Specialists
(Computer Scientists, Venture Capitalists, IT Analysts)

Judge & referee for allocating multi-million dollar SBIR/STTR innovation grants for US Cybersecurity & Cyber-computing computing technology innovation and commercialization.

32 National Science Foundation SBIR/STTR (Industrial Innovation and Partnerships) Expert Panels
Multimillion dollar grant awards for U.S. IT innovations in Cyber Computing & Cyber Security.

  1. A Novel Three-Dimensional Ear Biometric Technique
  2. A WebTurbine for Lightweight, Ubiquitous Internet Publishing
  3. BriefMaker - A Requirements Definition Tool
  4. Commercialization of Publicly Available Works
  5. Computer Aided Medical Website Evaluation
  6. Computerized Tool for Baggage Screening
  7. Development of 802.11 Asset Tag
  8. Dynamic Automated Search in the Context of Knowledge Creation
  9. GeoPOP: A Real-Time Location-Based Handheld Application
  10. Highly Accurate Reconstruction Module for Multidisciplinary Computation
  11. Hypertext Data Analysis Mapping: Software for Capturing, Organizing, and Reviewing Data Analyses
  12. Integrated Software and Systems for Large-Scale Nonlinear Optimization
  13. Integrating Usability Engineering into a Method for Multiple Platform User Interface Deployment
  14. Location-based PDA Bird Field Guide
  15. Low-Cost System For Making Online Purchases
  16. Modeler's Workbench: Web Services-based Modeling Platform for the Process Industry
  17. Multi-channel, Multi-device Collaboration System - Driving the Mobile Value Chain
  18. Nanoscale Transport Processes Prediction/Design/Analysis Tool for NEMS Applications
  19. Networked Basin Simulation Environment
  20. Next Generation Binary Decision Diagrams Based Logic Optimization System
  21. Object-Oriented Groundwater Data Repository Technology
  22. Personalized Wireless Network
  23. Polymer Workbench: Web Service Modeling Application Service and Integration for the Polymer Industry
  24. PortSirIsaac--A Web Productivity Portal for Science and Mathematics
  25. QTIPs - 24-Hour Technology Intelligence & Forecasting
  26. Quality-Based Knowledge Discovery for Information Retrieval in Large Communities
  27. Relational Database with Multiple User Interfaces Using Web Services Technology
  28. Technological Advances for On-line Pesticide Reporting Project
  29. Technology Stamps
  30. The Atmospheric Information Remote Project: A Commercial Software for Personal Computing Devices
  31. Unlocking Tacit Knowledge through Content-based Instant Messaging
  32. Web-Based International Trade Knowledge Discovery System

Cyber Security | IT Administration | Networks Administration: Cybersecurity-Risk Management Leader
CISO-Level Cyber Security & Risk Management Leader, Government Administration, State of New York

Under the general direction of the Chief Information Officer (CIO) level executive, IT Administration, the Chief Information Security Officer (CISO) level role serves as a member of the IT Administration senior leadership team and provides domain expertise, direction, and, policy guidance on Cyber Security and IT Administration and Networks Administration. The CISO level role provides direction on information security and privacy across all of enterprise multi-site facilities and programs including all multi-site systems and services affecting 100,000 constituents of the New York State County. This position has broad authority and management responsibility for protecting the privacy, confidentiality, integrity, and availability of enterprise information and services. The CISO level role aligns services responsible for information security, privacy, and security operations to enable enterprise business objectives within acceptable levels of security and privacy risk.

Cybersecurity Technologies Deployment & Cybersecurity Industry Standards & Best Practices Development

Benchmarking & Deploying Cybersecurity Risk Engineering for Leading Cyber Deterrence:

Cyber Security Technologies: Applications, Devices, End Points, Hosts, Networks, O/S, UTMs:
AirWatch, Check Point, Cisco, FireEye, Fortinet, Fortis, Intel, McAfee, Microsoft, Palo Alto, PDQ Deploy, ProofPoint, Qualys, Sophos, Symantec, VMWare, WatchGuard, etc.

Best Practices & Industry Standards:
ISO, NIST, FIPS, COBIT, OWASP, Qualys, SANS, PCI-DSS, NYS Cybersecurity Rule, Microsoft, Cisco, Fire Eye, etc.

Penetration Testing-Ethical Hacking Frameworks & Tools
Metasploit, Nmap, Wireshark, Several Others.

Cybersecurity Leader leading, executing, implementing, and, guiding New York State wide and Enterprise wide IT Administration and Network Administration practices with focused domain expertise in Quant Finance, Cyber Security, Cryptography, Networking-Encryption Protocols, Penetration Testing-Ethical Hacking, Machine Learning Algorithms, Computational Quant Analytics, Risk Analytics.

CISO-Level Cybersecurity-Risk Management Leader reporting to CIO-Level role

CISO-Level Cybersecurity-Risk Management Leader: IT Administration & Networks Administration, Government Administration, State of New York Civil Services, reporting to CIO-Level role.

• Enterprise-wide IT, Telecom Networks, Cybersecurity & Risk Management, Controls & Compliance Policies, Best Practices, Strategies, Technologies, including Enterprise Level Implementations, IT Procurements and Contracts.

• Multi-Factor Authentication & Credentialing; User Access Controls & Group Management Policies for all Users including Authentication, Credentials, Password Policies, BYOD MFA & 2FA Policies, Anti-Malware Botnet and Anti-Ransomware Policies, etc.

• Multi-site Systems Administration including Group Management Policies & Configurations, Cybersecurity Risk Management Controls & Compliance Policies, UAC, and Defense-in-Depth against Advanced Threats & Attacks.

• Multi-site Enterprise-wide Telecom Networks, Hosts, Devices, Applications, OSs, and, IPs Vulnerability and WWW Applications Vulnerability Detection & Remediation leading Risk Mitigation, Network Security, Risk Management, & Compliance Policies, Strategies, &, Implementation, and, WWW Security Standards and Secure Coding Practices.

• Multi-site Enterprise-wide Penetration Testing & Ethical Hacking enabling Pre-emptive and Anticipatory Risk Management and Controls for Cybersecurity Risk mitigation for Networks, Applications, Hosts, Devices, Firmware, Embedded Systems, SCADA, and, Third-Party Services and Infrastructure Providers.

• Multi-site Enterprise-wide development of Zero-Trust UTMs, NGFWs, IPS/IDS, VLANs/VTP/STP, and UAC-ACL Policies and Architectures using Network Segmentation based upon industry-leading Cyber Security, Risk Management, and Compliance Policies.

• Multi-site Enterprise-wide Networks, Operating Systems, Hosts, Applications, and Mobile Device Management Security Controls Risk Management Audit & Threat Analysis including Identification, Elimination, Containment & Mitigation of Critical Risks.

Defense-in-Depth Enterprise Networks and Computer Security & Privacy Leader

Enterprise Networks-Perimeter & Networks Segmentation
Enterprise Networks-Perimeter and multi-layered Network Segmentation hardening against cyber-attacks tracked by newly upgraded Unified Threat Management infrastructure using SQL Server Big Data Analytics, High Frequency Time Series Data Analytics, and, Networks Logs Analysis.

Enterprise Hosts & Server End Point Protection Security
Endpoint (EP) upgrades for Hardening against Cyber Attacks coupled with Attacks and Malware reports analyses. Continuing bench-marking, Procuring and Implementation focus on more robust EP solutions to integrate, simplify, and, economize current EP & MDM infrastructures.

Enterprise User Access Controls, Credentials, Passwords:
Passwords, credentials, user access controls (UAC), and, privilege reviews and upgrades at the Policy, Networks-UTM, Operating Systems, Applications, Host, and Device levels and Policies and Processes for tiered UAC and credentials for various internal and external user groups.

Enterprise Security Content Automation Protocol Implementation:
MS-Windows O/S and Applications hardening based on security, risk, and compliance group policies development and Active Directory-Group Policy implementations ongoing with Security Content Automation Protocol (SCAP) – Security Compliance Manager.

Enterprise Microsoft Network Operating Systems & Applications Security:
MS-Windows Active Directory-Group Policy Network Operating Systems security configurations for hardening Windows Network O/S and Microsoft Windows based MS-Office software applications for mitigation of cybersecurity threats & attacks.

Enterprise Mobile Device Management & Multi-Factor Authentication

Coordinating enterprise wide administration Mobile Device Management for mobile devices toward simplified administration and MFA/2FA while also reviewing latest technologies for integration of MDM with EP.

Zero-Trust Cybersecurity Architectures & Networks Segmentation Leader

Zero-Trust Network Segmentation: Benchmarked-selected top-ranked UTM to replace prior NGFW. Reviewed-audited configuration of 125 UTM Policies and RADIUS-based VPN policies to apply robust networking and encryption protocols for mitigating threats from SMB, NetBios, SNMP, NTLM, and, PPTP.

Security Content Automation Protocol (SCAP): Configured more than 1,000 Group Policies using Security Compliance Manager. Configured, installed, and, implemented active directory (AD) and group policy management (GPM) policies.

Validation & Audit of IP Networks Subnets & VLANs: Identified-eliminated threats and vulnerabilities in Information Gathering, TCP/IP, General Remote Services, Firewall, and Web Server hardening network, servers, hosts, applications, and devices, and, access controls and authentication protocols such as SSL/TLS, IPSec, STP, and VTP.

OWASP Secure Coding Practices: Adoption by Systems, Analysis, and Design teams blocking cyber-attacks such as SQL injection attacks, and, buffer overflow attacks advancing secure PKI authentication and TLS 1.2, IPSec, AES256, and RSA2048.

Audit of Virtual Private Networks using RADIUS: To bolster credentials authentication by advancing mobile VPN Authentication from PPTP to L2TP and IPSec eliminating reliance upon CHAP thus advancing toward enterprise wide non-reversible encryption.

AD-GPM Default Domain Controllers Policy for Network Security Reconfiguration & Implementation: Advancing toward secure Kerberos authorization and authentication architecture for enterprise wide users.

AD-GPM Default Domain Policy Reconfiguration & Implementation: For securing user credentials advancing upon development of secure host-based user access credentials architecture for enterprise wide users.

AD-GPM Password Security Objects (PSOs) Development & Configuration: To advance development of fine-grained password policies for different privilege levels of enterprise wide internal and external users.

STEM Computer Science-CyberSecurity-Advanced Analytics Professor, Machine Learning-Algos Evangelist

• STEM Computer Science, Cybersecurity, Advanced MS-Excel Analytics Faculty for the State of New York. Developed-taught Cybersecurity Major & CompTIA Security+ for Network Administrators: concluded with its accreditation by the State of New York.

• Applied Research, Teaching, Practice focus on applications of Object-Oriented Programming (OOP) - JavaScript, JQuery Interactive Front-End Web Development; Black Hat Python Pen Testing-Ethical Hacking; Advanced MS-Excel, SQL, Computer Science, Mathematics, and, Statistics & Probability.

• 2015 and 2016 Invited Princeton Quant Trading Conference Presentations at Princeton University sponsored by Princeton University, Goldman Sachs, Citadel, SIG, and KCG Holdings.
- Pioneering Research: Cyber Finance-Insurance: Bayesian Machine Learning Algorithms.
- Ranked in 63 SSRN Top-10 Research Rankings for 2015-2017.

• STEM Faculty Evangelist for teaching Bayesian Inference, Machine Learning, Algorithms, Data Science, Python, R.

• Faculty presentation inspiring STEM Division that counts among alumni first female commander of Space Shuttle USAF Colonel Eileen Collins to lead the Cyber Revolution by focus on Bayesian Inference, Machine Learning, Algorithms, Data Science, Python, R.

• Quant FinTech-Computer Science-Cybersecurity-Algorithms-Machine Learning R&D spanning New York State, national & global industry-university research collaborations advancing post-doc industrial research in Quant Finance-IT-Risk Management [Applied Mathematics, Statistics, & Econometrics].
- e.g. 2016 European Cooperation in Science & Technology: Switzerland Federal Department of Economic Affairs: Math-Fintech Industrial Research.

• Academy of Management Best Reviewer Award winning Reviewer and Referee for Applied & Industrial Research in Cybersecurity:
- e.g. Journal of Defense Modeling and Simulation (JDMS) (Sage): STIX, TAXII, MCMC, Bayesian Networks, Markov Chain Monte Carlo Models.
- Society for Modeling and Simulation International.

CompTIA Security+ Network Security Instructor for Telecom Network Administrators, State of New York

CompTIA Security+ Network Security Instructor for Telecom Network Administrators, State of New York
• Introduction to Security
• Malware and Social Engineering Attacks
• Application and Networking-Based Attacks
• Host, Application, and Data Security
• Basic Cryptography
• Advanced Cryptography
• Network Security
• Administering a Secure Network
• Wireless Network Security
• Mobile Device Security
• Access Control Fundamentals
• Authentication and Account Management
• Business Continuity
• Risk Mitigation
• Vulnerability Assessment & Review

Hands-On Applied Offensive Cybersecurity Projects Handbooks
• Penetration Testing: A Hands-On Introduction To Hacking
• The Hacker Playbook 2: Practical Guide To Penetration Testing
• Wireshark 101: Essential Skills For Network Analysis
• Metasploit (No Starch Press)
• Nmap Network Scanning: The Official Nmap Project Guide to Network Discovery and Security Scanning
• Violent Python: A Cookbook for Hackers, Forensic Analysts, Penetration Testers and Security Engineers
• Black Hat Python: Python Programming for Hackers and Pentesters

Post-Doc Network & Computer Security Research Pioneering Cybersecurity Risk Insurance Modeling leading global industry standards and frameworks for the Cybersecurity and Risk Management industry. Advisors: Executive Director, New York State Cyber Research Institute, Prior Chief Scientist, Air Force Research Lab / Information Directorate; Program Manager & Principal Computer Engineer, Information Directorate, Air Force Research Laboratory / Information Directorate.

2016-2017 National Association of Insurance Commissioners, National Cybersecurity Expert Panel
Advisory Committee: Distinguished Scientists: AFRL, New York State Cyber Research Institute, SUNY

Advancing Cyber Risk Insurance Underwriting Model Risk Management beyond VaR
to Pre-empt and Prevent the Forthcoming Global Cyber Insurance Crisis

Mainstream insurance industry practitioners have adopted Value-at-Risk (VaR) from global Banking & Finance industry as the pre-dominant cyber insurance model being oblivious to both distinguishing characteristics of cyber-risks as well as statistical properties of VaR. Such widespread misapplication of VaR for cyber risk insurance underwriting unless abated and corrected is expected to lead to a global cyber-insurance crisis that may dwarf the worldwide economic shock from the global financial crisis. Given worldwide high impact of increasingly global cyber-attacks, the current R&D advances cyber risk insurance underwriting model risk management beyond VaR to pre-empt and prevent the forthcoming global cyber-insurance crisis.
Cyber Risk Insurance Industry Quant Risk Analytics Standards Development

•Pre-empting the forthcoming Global Cyber Insurance Crisis by
Pioneering Cyber Risk Insurance Models beyond Value-At-Risk (VaR) Analytics.

• To avert the impending Global Cyber Insurance Crisis resulting from large-scale commercial reliance upon quantitative models with inherent model risks, tail risks, and systemic risks in current form, this dissertation makes the following key contributions.
• First, we develop the first known Cyber-Finance-Trust™ framework for Cyber insurance modeling to analyze how finance risk entangled with Cyber risk further exacerbates the systemic, interdependent, and correlated character of Cyber risks.
• Second, we develop the first known model risk management framework for Cyber insurance modeling as model risk management has received sparse attention in Cyber risk assessment and Cyber insurance modeling. 
• Third, our review of quantitative models in Cyber risk and Cyber insurance modeling develops the first known analysis establishing significant and extreme model risks, tail risks, and, systemic risks related to predominant models in use.
• Fourth, we develop an empirical study of VaR and Bayesian statistical inference methodologies with specific guidance for containing model risks by applying multiple simple and advanced models for cross-checking the reliability of VaR.
• Fifth, we develop an analysis of the Markov Chain Monte Carlo Models, Gibbs Sampling and Metropolis-Hastings statistical computing algorithms for enabling Bayesian statistical inference methodologies to minimize model risk in Cyber risk and Cyber insurance risk modeling for the specific context of cybersecurity.
• Sixth, we develop the first known portfolio theory based framework for Cyber insurance modeling with guidance to minimize model risks, tail risks, and systemic risks inherent in models in commercial Cyber insurance modeling.
• Finally, given increasing role of uncertainty in cyber (and financial) risk modeling and management, we develop a framework for enabling Knightian uncertainty management relating it to model risk management.

Recent Related Activities and Impact on Global and National Cyber Security and Cyber Finance Practices

• Recent Networks & Computer Security focused Cybersecurity & Risk Management applied R&D project leadership developed as Computational Quantitative subject matter expert to distinguished computer scientists, mathematicians, and, physicists including the US Air Force Research Lab (AFRL) senior scientists such as Executive Director of the New York State’s Cyber Research Institute and former Chief Scientist, Information Directorate, AFRL.

Cybersecurity and Risk Management Innovations and Standards Development, New York State & Princeton University:

2016 New York State Cyber Security Conference, Albany, New York, June 8-9, 2016 
New York State Office of Information Technology Services
Presentation: CyberFinance: Why Cybersecurity Risk Analytics must evolve to Survive 90% of Emerging Cyber Financial Threats, and, What You Can Do About It?
Special Interest Topics: Related to: Finance Sector - Best practices and effective ways to increase the security of financial and personal customer information.

2015 NY Cyber Security & Engineering Technology Association (NYSETA) Conference, RIT, Rochester, NY, Oct 22, 2015
Cybersecurity Networks, Systems & Controls Standards Development
Advancement of Professional Cybersecurity Standards and Practices:
• Full Research Paper Accepted for the NYSETA Conference:
Bridging Networks, Systems, and, Controls Frameworks for Cybersecurity Curricula & Standards Development
Track: Innovative Design and Development Practices
• Rochester Institute of Technology Research Presentation.
- Risk Management and Controls Policy Framework
- Enterprise Risk Management & Governance: Enterprise Risk Management
- Systems & Networks Infrastructure Frameworks
- Systems & Networks Risk Management, Controls, Regulatory Compliance: Model Risk Management
- Networks Protocols and Network Analysis Tools Frameworks
- Cyber-Finance Risk Management, Data at Rest, Data in Motion, Encryption: Cyber Finance Risk Management
- Penetration Testing Execution Standard Applied: Case of VoIP Networks
- Kali Linux, Metasploit, NMap, Wireshark - Ethical Hacking & Penetration Testing
- OWASP, ISACA, SANS, and PCI/DSS Pen Testing & Information Assurance Frameworks

2016 Princeton Quant Trading Conference: Model Risk Arbitrage: Black Hat Hacker Mindset, Apr 16, 2015
- Sponsors: Princeton University, Bendheim Center & ORFE, SIG, Citadel, Goldman Sachs
• Pioneered Cyber-Quant Finance financial innovations including Open Systems Finance, Model Risk Arbitrage, Black Hat Finance, and, Non-Deterministic Methods & Models.
• Black Hat Mindset developed as a Certified Ethical Hacker (CEH, 2014) trained in Black Hat frameworks, methods, models, and techniques advancing upon White Hat frameworks learned as Certified Information Systems Security Professional (CISSP, 2005) applied to development of a new Financial Innovation called Model Risk Arbitrage.
• Essentially, by inter-disciplinary applied understanding of practices across the digital domains of Cybersecurity and Finance, further advanced leading-edge computational quantitative analytics practices to advance both fields of practice.

2015 Princeton Quant Trading Conference: Future of Finance: Cyber Finance, Apr 4, 2015
- Sponsors: Princeton University Bendheim Center & ORFE, Citadel, KCG Holdings.
• Pioneered Computational Quantitative Analytics industrial research in Cyber Finance & Cyber Risk Insurance Modeling in collaboration with the committee of distinguished research scientists from AFRL/NYS-CRI.
• Cyber Finance: Future of Finance Beyond 'Flash Boys': Tail Risks & Systemic Risks:
• Risk Modeling for Managing Uncertainty in an Increasingly Non-Deterministic Cyber World.
• Advanced Risk Modeling Statistical Techniques: Econometrics & Time Series Models, Bayesian Inference, Markov Chain Monte Carlo, Capital Markets, Derivatives, Portfolio Construction & Optimization Models, Volatility Models, VaR, ARCH, GARCH, Multifactor Pricing Models, Market Risk, Credit Risk, Liquidity Risk, Cyber Risk Insurance.

• Invited Risk Management Keynotes: State Street Bank world HQ, MA, and, National CROs/CSOs Summit, VA.
• Invited Risk Management Advice: MDs-Teams of Risk Management firms and Wall Street firms.


Post-Doc Network & Computer Security Research Pioneering Cybersecurity Risk Insurance Modeling leading global industry standards and frameworks for the Cybersecurity and Risk Management industry. Advisors: Executive Director, New York State Cyber Research Institute, Prior Chief Scientist, Air Force Research Lab / Information Directorate; Program Manager & Principal Computer Engineer, Information Directorate, Air Force Research Laboratory / Information Directorate.

2013-2015 Cyber Risk Insurance Industry Quant Risk Analytics Standards Development
• Averted the impending national Cyber risk and Cyber-insurance disaster based upon large-scale commercial reliance upon quantitative models with inherent model risks, tail risks, and systemic risks.
• Developed the first known Cyber-Finance-Trust™ framework for Cyber insurance modeling to analyze how finance risk entangled with Cyber risk further exacerbates the systemic, interdependent, and correlated character of Cyber risks.
• Developed the first known model risk management framework for Cyber insurance modeling as model risk management has received sparse attention in Cyber risk assessment and Cyber insurance modeling.
• Review of quantitative models in Cyber risk and Cyber insurance modeling developed the first known analysis establishing significant and extreme model risks, tail risks, and, systemic risks related to predominant models in use.
• Developed an empirical study of VaR and Bayesian statistical inference methodologies with specific guidance for containing model risks by applying multiple simple and advanced models for cross-checking the reliability of VaR.
• Developed an analysis of the Markov Chain Monte Carlo Models, Gibbs Sampling and Metropolis-Hastings statistical computing algorithms for enabling Bayesian statistical inference methodologies to minimize model risk in Cyber risk and Cyber insurance risk modeling for the specific context of cybersecurity.
• Developed the first known portfolio theory based framework for Cyber insurance modeling with guidance to minimize model risks, tail risks, and systemic risks inherent in models in commercial Cyber insurance modeling.
• Given increasing role of uncertainty in cyber (and financial) risk modeling and management, developed framework for enabling Knightian uncertainty management relating it to model risk management.

2013-2016 CompTIA Security+ Network Security & Pen Testing-Ethical Hacking Programs Development
• Developed and Delivered Applied Experiential Learning Penetration Testing and Ethical Hacking Program and CompTIA Security+ Network Security Certification Program for Telecom & Networking Professionals via SUNY system.
• Developed and delivered experiential learning in Penetration and Ethical Hacking Frameworks, Tools, Techniques, and, Methods including Metasploit, NMap, and Wireshark, and, Black Hat Penetration Testing via SUNY system.
• EC-Council Certified Ethical Hacker (CEH) and ISC2 Certified Information Systems Security Professional (CISSP) having logged over 2,000-hour professional experience in Penetration Testing & Ethical Hacking in Authorized Darknets as top-ranked ethical hacker in SUNY institutional competitions.

• Top-10 PhD IT Information Systems (Pittsburgh), MS Network & Computer Security (SUNY), MS Computer Science (SUNY), IT Information Systems Professor (Syracuse), Computer Science-Cybersecurity-CompTIA Security+ Professor (SUNY system); MS Quant Finance (Fordham), MS Accountancy (SUNY), MBA (UNLV), BE (Delhi) Chartered Engineer.
• EC-Council Certification: Penetration Testing & Countermeasures. SUNY System: Ethical Hacking & Pen Testing Instructor.

• 20+ years global R&D leadership advancing Cybersecurity, Risk Management, and Computational Risk Analytics Best Practices for developing, testing, and implementing Complex Systems: globally adopted and recommended by top CEOs such as Microsoft founder Bill Gates; and US DoD, CIOs of NASA, US Air Force, Army, Navy and Marine Corps.
• Portfolio of Global Research & Practice Leadership includes Wall Street investment banks such as JP Morgan and Goldman Sachs; Hi-Tech Firms such as Google, IBM, Intel and Microsoft; Brand Intelligence firms such as Ogilvy.
• Executive advisor on IT strategies to global firms such as Intel Corp., British Telecom (UK) and Philips (Netherlands).

• Recent Risk Management project leaderships for Wall Street investment banks with $1 Trillion AUM such as JP Morgan while reporting to JP Morgan Global Head of Quantitative Research and Analytics (Midtown Manhattan, New York).
• Prior Project Leader on Big-3 IT and Global Financial Systems, USA & Hong Kong, Bank of America, Crédit Agricole CIB.

• Associate Professor/Assistant Professor of Quantitative Methods, IT & Operations Research, Syracuse University, Developed Quantitative Models of Risk Management and Compliance applied by NASA and Big Banks; Research ranked and recognized for real world impact among others such as Nobel laureates; IT Research Editorial Review Panels for 40+ journals & publishers including ACM and IEEE. Academy of Management: Best Reviewer Award for IT/IS Research.
• Interviews & Editorial Coverage: CIO, Computerworld, Information Week, Wall Street Journal, New York Times, etc.
• Global and national CxO Keynotes, Expert Panels: Silicon Valley, Conference Board, US & World Governments, UN.

• Algorithms & Computational Finance: C++, SAS, Java, Machine Learning, Signal Processing
• Cybersecurity, Financial Protocols & Networks Protocols Analysis, and, Penetration Testing

Untitled Document

Digital Transformation Research & Practices Leading Global Firms & Governments

  • Goldman Sachs, Google, Harvard, IBM, Intel, MIT, Microsoft, NASA, Ogilvy

    Founding Chairman & Chief Knowledge Architect, CEO/CIO/CTO, Risk Analytics Ventures.
    • Venture Clients/Patrons: Goldman Sachs, Google, Harvard, IBM, Intel, Microsoft, NASA, etc.
    • Founder & Executive Director, Global CxO ventures on Risk Management & Risk Analytics.
    - Recommended by Top Tech Visionaries such as Microsoft founder Bill Gates, Big-4 (PwC, E&Y) CxOs, Harvard Business School Professors, US & World Governments.
    - Recommended by U.S. AFRL/Army/Navy/Air Force/NASA CxOs.
    • US & Worldwide Media Interviews & Editorial Coverage: 
    Wall Street Journal, New York Times, Fortune, Forbes, CIO, Fast Company, Inc., etc.
    • Selected for inclusion in biographical profiles of worldwide leaders and achievers from both the United States and around the world in:
    Marquis Who's Who in America®
    Marquis Who's Who in the World®
    Marquis Who's Who in Finance & Industry®
    Marquis Who's Who in Science & Engineering®.

  • Big-4 Consulting, Intel, British Telecom, Philips, Silicon Valley VCs-CEOs

    Global Thought Leader & Advisor for Big-4, Fortune 100 CxOs, Silicon Valley VCs & CEOs
    • Global CxO Risk Management Advisory & Consulting Practice.
    - Invited Thought Leader, Accenture Consulting, Senior MDs & Practice Founders/Owners.
    - $100 Billion Firms such as Intel Corporation, British Telecom (UK), Philips (Netherlands), 
    - Silicon Valley VCs & CEOs: 300 Venture Capitalists, Tech-CEOs, and Angel Investors.

  • Big-3 IT & Finance, Bank of America, Crédit Agricole, Wells Fargo, TATA

    • Global Banking Financial Systems Projects Leader for Global Banks, USA, Hong Kong & India.
    Global Financial Systems Modeling, Models Quality Assurance, Development & Implementation.

    • Bank of America merger (Las Vegas), Bank of America Nevada.
    Site Leader, Models Quality Assurance & Models/Systems Integration.
    Senior Analysts/Analysts Team Leader, Systems Implementation.
    • MBA Research Fellowships in Hypermedia Computing & Digital Risk Management.
    • 1st in ABA/AIB Certifications: Banking & Financial Statements Analysis, Marketing for Bankers. 
    • Chartered Engineer of the Institution of Engineers Certification.
    • Certified Computing Professional / Certified Data Professional Certification.

    • Crédit Agricole Corporate and Investment Bank (Hong Kong)
    Formerly, Banque Indo-Suez, Hong Kong
    Algorithms Strategist & Technical Lead
    Hong Kong Treasury Management, Multi-Currency/Forex Arbitrage.

    • Wells Fargo Bank (Davenport)
    Formerly Davenport Bank & Trust Company

    • Big-3 IT, Unisys Global Financial Services (Atlanta, Norcross)
    - CxO Management Consultant: TATA-Unisys Facilitation with CIO Mr. James A. Unruh.
    - Senior Analysts/Analysts Team Leader.
    Led Modeling & Development of Global Financial Systems Used by Worldwide Banks.
    • 1st in ABA/AIB Certification: Principles of Banking.
    • Toastmasters International. 

    • Tata Group Financial Services Division (Mumbai, Delhi): Banking Projects, USA & Hong Kong.
    Corporate Strategy Keynote to Strategic & Senior Leadership at the Global Big-3 IT Firm: 
    - Advancing Beyond Mainframes to Unix & C Software Services for Global IT Market Dominance.
    Modeling & Development of Global Financial Systems Used by Worldwide Banks.
    - Promoted to Systems Analyst, Global Financial Services, SWOT Mentor: Corporate SVP.
    Programmed Algorithmic Language (ALGOL), 3GL & 4GL Systems, Hierarchical DBMS.

  • Global Digital Transformation Leaderships: Digital Assets, Markets & Exchanges Practice

    • Global CxO Knowledge Management & Digital Transformation Advisor
    * Influential Global Advisory & Consulting Practice on Risk Management.
    - Global Enterprise Risk, Operational Risk & Systemic Risk Management Practices
    * Strategy Advisor: $100 Billion Firms such as Intel Corp.
    * Thought Leader/Keynote Speaker, Fortune 100 CxOs/World Governments:
    Silicon Valley Venture Capitalists & CEOs (TiE, San Jose),
    US & World Governments / Parliaments / Cabinets (Mexico, Netherlands, South Korea),
    Big-4 Consulting: Accenture Senior Managing Partners & Practices Founders.
    * Executive Education Faculty: Kellogg, Carnegie Mellon.
    * Research Lectures: INSEAD (France), Queen's (Canada).

    • Global Digital Assets, Markets & Exchanges Practice Leaderships
    * Council Partner, US Federal Government Inter-Agency Best Practices
    * Ziff Davis Global Standard for Internet Commerce
    -1 of 4 Founding Members/Contributing Editors for US CxOs
    * Project Leader: High Impact Research: Global Team of 200 Experts:
    Big-4 CxOs, PhDs / Professors from Kellogg, INSEAD, etc.
    - Global Enterprise Risk, Operational Risk, Systemic Risk Practices

    • Global Digital Assets, Markets & Exchanges Practice Leaderships
    Big-4 Accenture (Arthur Andersen) Consulting Sr Managing Partners & Practices Founders.
    * Project Leader: High Impact Research: Global Team of 200 Experts:
    Big-4 Ernst & Young CxOs, PhDs / Professors from Kellogg, INSEAD, etc.
    Published World-Leading Research Guiding Worldwide Risk Management Practices:
    - Global Enterprise Risk, Operational Risk & Systemic Risk Management Practices

  • United Nations Headquarters Global Economists Expert Panels Quant

    United Nations New York City World HQ: Quant Expert among 1 of 4 Global Expert Economists Leading Global Development of Measurement Models of National Knowledge Assets and Digital Assets. 
    - Invited Global Keynote for the UN Global Conference of Global Expert Economists.
    - Invited Expert Paper for the UN Global Conference of Global Expert Economists.

  • 32 NSF US Cyber Computing & Cyber Security National Expert Panels

    National Science Foundation US Cyber Computing & Cyber Security National Expert Panels:
    Invited Technical Expert on 32 National Science Foundation US Cyber Computing & Cyber Security National Expert Panels: Judge and Referee for allocation of Multi-Million dollar US Federal IT and Cyber Security Computing Technologies Commercialization SBIR/STTR Grants.

  • US & World Governments, Silicon Valley & Wall Street Thought Leader

    Invited Keynotes and Expert Panels across USA, North America, Europe, Asia:
    Thought Leader of Silicon Valley CEOs/VCs and Largest National Economies and Global Firms.
    Global Thought Leader & Advisor for NSF, UN, US & World Governments-Parliaments:
    • US & World Governments & Parliaments, Digital Transformation and e-Government Strategies
    • US & World Governments & Parliaments/Cabinets (N. America, Europe, Asia)
    - Mexico - Mexican Parliament Cabinet Ministers, 13 National CIOs, 600 Sr. IT Executives.
    - Netherlands - Advisor to Cabinet Minister, National Parliament Cabinet Ministers' Expert Panel.
    - South Korea - National TV Broadcast & Newspaper Interview, Maeil Business, S. Korea.
    - South Korea - Vision Korea Campaign - 400 National Leaders in Business & Government.
    - USA - Council Partner, US Federal Agencies Best Practices Council.
    • The Conference Board, U.S. Quality Council
    • Institute for Supply Management

  • Carnegie Mellon University and Kellogg Executive Education Faculties

    • Taught as Invited Faculty on the Carnegie Mellon & Kellogg Executive Education Faculties.
    - Invited external Executive Education Faculty among Digital Business-IT Pioneers.
    • Invited Global/National Research Lectures: INSEAD (France), Queen's (Canada), etc.

  • Global R&D Rankings among Finance-IT Nobel Laureates

    • Global R&D Rankings among Finance-IT Nobel Laureates:
    * AACSB International Impact of Research Report, 2008
    - "Exemplars" of "considerable impact on actual practice" among:
    Finance Nobel Laureates such as Black-Scholes.
    * High-profile scientific impact studies: ranked among 
    others such as IT Nobel Laureate Herbert Simon.
    * Queen's University Lecture; Fulbright invitation: 
    - Fulbright Canada Visiting Research Chair.
    * United Nations HQ: Quant Economist
    - 1 of 4 Global Expert Economists, Asset Valuation Models.
    * 32 NSF US Cyber Computing-Cyber Security National Expert Panels, 2002-2005.
    - CISSP, CISA Certified; SAP-ERP/CRM Faculty Certifications
    * CNet Networks ‘Corporate Computing Award’: Most Influential Research.

    • Associate Professor MIS 02/2008, Promoted: Hired as First & Only:
    • Tenure-Track Assistant Professor of Quant Methods, 2001-2008
    [Quant Methods Dept. Restructured: MIS merged in Accounting.]
    - MBA Faculties of Management Science-Decision Sciences-Quant Analytics.
    • IT O/R Quant MS-Excel Financial Analytics MBA Faculty
    * Mathematical Programming, MIS/IT/OR/Statistics, 
    • Optimization Expertise: Profit Maximization & Cost Minimization 
    Models: Monte Carlo Simulations: MS-Excel Solver,
    Pivot Tables, Macros, VBA, Crystal Ball, MS-Access / SQL.
    - OR Optimization Models, Sensitivity Analysis,
    Network Modeling, Dynamic & Integer Linear Programming.
    • Coaching-Performance Management: 
    300 e-Business Project Teams: 1500 Business-IT-Analytics Managers.
    - SWOT, Primary and Secondary Research, Digital Ventures

    • Quant Risk Modeling Research Program Manager
    * Focus: Deterministic & Stochastic Risk Models
    * Multivariate Regression, Structural Equation & Econometric Models
    * Published Quantitative IT-OR and Risk Models in Top Journals
    ACM, IEEE, Top-2 MIS Journals.
    * Technical Referee: ACM, IEEE, Tier-1 Journals.
    * Model Validations: 100+ Quant Modeling Reviews
    • Mathematical Statistical Quant Risk Modeling with
    MS-Excel, VBA, MATLAB, SPSS, SAS, AMOS, PLS.

  • Global Digital Transformation Practices Leader: e-Business & Knowledge Management

    • Global R&D Rankings: Enterprise Risk Management & Digital Transformation
    • Drexel University Survey of Global Information Systems Community, 2000
    - Ranked in Top-3 most influential scholar-practitioners on Knowledge Management
    - Top two ranked being Dr. Tom Davenport (Partner, Accenture), and, 
    Dr. Ikujiro Nonaka (University of California Berkeley, Xerox Distinguished Professor in Knowledge).
    * Mentor: Dr. Tom Davenport, KM & BPR Pioneer.

    • Invited Keynotes-Expert Papers: Intel Corporation, British Telecom (UK), Conference Board, Government of Mexico (Mexico), Silicon Valley TiE, Vision Korea & Maeil Business TV (S. Korea).

    • Conference Board Keynote on BPR, Performance Excellence & HR
    - Invited by Florida Power & Light (FPL), Malcolm Baldrige National Quality Award
    - Conference Board Global Center for Performance Excellence
    - Addressed U.S. Quality Council of Corporate CxOs of Malcolm Bridge Award Winner Firms.

    • Quantitative Risk Modeling Research Program Manager
    * Multivariate Regression, Structural Equation & Econometric Models
    * Published Quantitative Operational Risk Models in Top Conferences & Journals
    * Technical Referee for ACM, IEEE, Tier-1 Research Journals:
    * Mathematical Statistical Quantitative Risk Modeling with
    MS-Excel, VBA, SPSS, SAS, AMOS, PLS.

    • MIS: IT & Operations Research, e-Business & Knowledge Management Leader
    - Tenure-Track Executive MBA & MBA Faculty, Leader: e-Business & KM
    • Developed First AACSB-Accredited MBA Program on e-Business & Knowledge Management
    • Coaching-Performance Management: 100 Project Teams: 500 Business-IT-Analytics Managers.
    - Students: MBA/MS/PhD Students, Executives, Managers.
    - MIS/IT/Cybersecurity, e-Business, Knowledge Management, MS-Excel/VBA/MS-Access.
    - Taught Executive MBA & MBA Programs on Fort Lauderdale & Boca Raton Campuses.
    - State University System of Florida, Florida Atlantic University, Fort Lauderdale Office
    • Innovative Development & Integration of e-Business & Knowledge Management Practices.

  • Global R&D: Quant FinTech-Computer Science-Cybersecurity-Algorithms-Machine Learning

    • Quant FinTech-Computer Science-Cybersecurity-Algorithms-Machine Learning R&D spanning New York State, national & global industry-university research collaborations advancing post-doc industrial research in Quant FinTech [Applied Mathematics, Statistics, & Econometrics]. 
    - e.g. 2016 European Cooperation in Science & Technology: Switzerland Federal Department of Economic Affairs: Math-Fintech Industrial Research.
    • Academy of Management Best Reviewer Award winning Reviewer and Referee for Applied & Industrial Research in Cybersecurity:
    e.g. Journal of Defense Modeling and Simulation (JDMS) (Sage): STIX, TAXII, MCMC, Bayesian Networks, Markov Chain Monte Carlo Models.
    - Society for Modeling and Simulation International.

    • CISSP, CISA, CEH Tenure-Track STEM Computer Science, Cybersecurity, Advanced MS-Excel Analytics Faculty for the State of New York. Developed-taught Defensive & Offensive Cybersecurity Major & CompTIA Security+ for Network Administrators: concluded with its accreditation by the State of New York. 
    • Applied focus on Object-Oriented Programming (OOP) - JavaScript, JQuery, DOM, HTML, CSS, Ajax, JSON Interactive Front-End Web Development; Black Hat Python Pen Testing-Ethical Hacking; Advanced MS-Excel, SQL, Computer Science, Mathematics, Statistics & Probability.
    • Princeton Quant Trading Conference Presentations, Princeton University, 2015 & 2016 
    - Sponsors: Princeton University, Goldman Sachs, Citadel, SIG, and KCG Holdings.
    - Pioneering Research: Cyber Finance-Insurance: Bayesian Machine Learning Algorithms.
    - 63 SSRN Top-10 Research Rankings for 2015-2017.
    • STEM Faculty Evangelist: Bayesian Inference, Machine Learning, Algorithms, Data Science, Python, R. 
    • Faculty presentation inspiring STEM Division of the Corning campus that counts among alumni first female commander of Space Shuttle USAF Colonel Eileen Collins to lead the Cyber Revolution by focus on Bayesian Inference, Machine Learning, Algorithms, Data Science, Python, R.

  • Ziff Davis Global Standard of Internet Commerce co-Founding Editor

    Ziff Davis Global Standard of Internet Commerce, 1 of 4 Founding Editors & Founding Members 
    - National Leadership of U.S. Corporate CIOs & CTOs Executing the E-Commerce Standard.

  • UPMC Digital Transformation: Process Management, Change Management, & Strategy Deployment

    UPMC Digital Transformation and Analytics Digitization & Computerization:
    Project Leader & Advisor to CIO's Office and Top MDs of UPMC:
    • Advisor: Digital Transformation, EMR/EHR and FIMS Analytics Digitization & Computerization
    • PI: Adoption of Digital Innovations & Technologies: Enterprise Risk Management Analytics
    • WWW Enterprise Networking for 3C (Communication, Collaboration & Coordination)
    • Electronic Medical Record (EMR) - Functional Independence Measurement (FIM).
    • Statistical & Structural Equation Modeling:
    • SPSS, SAS, AMOS, PLS, LISREL.
    • Statistical Multivariate Regressions
    • Partial Least Squares Regressions.

    • Pioneering Research on Uncertainty-Risk Management
    * Research popularized as Extreme Events & Black Swans after Financial Crisis.
    * Cyber-Digital-Virtual Networks Risk Modeling Research
    - Applied Focus on Digital Transformation-Virtual Business Models
    * Advanced Risk Modeling research & practice to
    cyberspace era of unprecedented global networked
    information connectivity, intensity & velocity.
    * Invited Interviews by Wall Street Journal, Information Week, etc.
    - Applied Research in Digital Transformation Models.
    • Global R&D Rankings: B2B Tech Ventures:
    * Computerworld Annual Internet Forecast
    - - Best Web Site Award, 1997
    * Carnegie Mellon Industry.Net Online Achievement Awards
    - - Best Research Site, Top-3 WWW Search Engines, 1996
    - Development Technologies Unix, CGI, Perl, C++, etc.
    * Top-10 Digital Social Networks among others such as LinkedIn
    - Subsequent global and national rankings
    * Award-winning Digital & Cyber Risk Management R&D
    Risk Management, Systemic Risks, Enterprise Risks, Operational Risks
    - Influential Global Virtual Risk Management Enterprise.

  • Programmer: Computerworld Top Digital Site, Top-3 Search Engine, Top-10 Social Network

    Entrepreneurial Programmer working on Top-10 PhD Research Fellowship.
    • World's Top Digital Transformation Research Site (Best Web Site Award, Computerworld).
    • World's Top-3 Search Engine (Carnegie Mellon Industry.Net Awards).
    • World's Top-10 Social Network (Popular Rankings among others such as LinkedIn)).
    • World's Largest Global Virtual Community of Digital Transformation Practice of 130,000
    • Pioneered Enterprise Risk Management (ERM) and Model Risk Management (MRM) Practices.
    • Virtual Organization Pioneers interview among others such as Hatim A. Tyabji, CEO, Verifone, ASTD, 1997.
    • Invited by Harvard Business Publishing to lead digital evolution of Harvard Business Review.
    • Editorial reviews as industry benchmark by AACSB, ACM, AICPA, IEEE, INFORMS, SHRM, Fortune, Harvard, Inc., MIT, Princeton, Stanford, UC Berkeley, Wharton, Yale, etc.:
    - Fast Company: "If Brint doesn't have it, then you probably don't need it."​
    - Business Week [e-Business]: "What every CEO should know."​
    - Business Week: "Best business information source."​ 
    - Wall Street Journal: "Contemporary business management and technology issues."​ 
    - Fast Company: "Yahoo! for Business & Technology."​ 
    - Forbes: "Tool for raising your company's IQ."​ 
    - Fortune: "Thumbs up for this serious surfer's tool useful for managers."​ 
    - San Jose Mercury News: "First for in-depth company & industry research."​ 
    - Wall Street Journal: "Complexity theory made easy."​ 
    - New York Times: "Invaluable for applying complexity theory."​ 
    - Wall Street Journal: "Largest collection of knowledge management."​ 
    - Fast Company: "Best source for knowledge management."​ 
    - CIO Magazine: "Wealth of incredibly rich, useful and interesting information."​ 
    - Computerworld: "Best site for IT and business information."​ 
    - Information Week: "Unparalleled in depth and relevance for business research."​ 
    - InfoWorld: "Best web site for hi-tech industry developments."​ 
    - InfoWorld: "Best web site on the topic of knowledge management."​

  • 'Giveaway for Success'™: Over Half-Million Dollars Contributed to Advancing Digital Transformation Practices

    As most high-profile digital ventures defining and disseminating worldwide cutting-edge business technology management practices, we contributed to the most prestigious and respected conference organizers of international and national events (such as the Economist) attended by the most high profile corporate executives and senior managers from global corporations and worldwide governments. As a high-profile digital media sponsor, we have literally given away over half a million dollars of returns from our sponsorships of such high-profile global media events for advancing learning, development, and growth of our community through our 'Giveaway for Success'™ programs. Many of the events that we have sponsored are counted among the most prestigious and high-profile conferences and learning events with ticket prices ranging in several thousand dollars. Adding up the dozens of events sponsored over several years provides an assessment of the value added through our media sponsorships.

    A small sample of companies and executives that have benefited from our 'Giveaway for Success' program that awards the gifts of higher learning to eligible members on a random selection basis is listed below.

    Companies such as: ABB, Bristol-Myers, Ernst & Young, Goldman Sachs, Hewlett Packard, KPMG, McKinsey, Pfizer, PricewaterhouseCoopers, SAP America, Sprint, Toyota, etc.

    Locations such as: Amsterdam, Netherlands ; Atlanta, GA . ; Boston, MA; Chicago, IL; Dallas, TX; Helsinki, Finland; Las Vegas, NV; London, UK; Mexico City, Mexico; New Orleans, LA ; San Diego, CA; San Francisco, CA; Santa Clara, CA; Vienna, Austria; Washington, DC.

  • Japan-India Engineering Tech Transfer-New Technology Development

    • Maruti Suzuki (Gurgaon), Largest Car Manufacturer known for 'India's Quality Revolution'.
    • Executive (MIS/EDP), Team Leader, Enterprise Financial & Accounting Systems.
    - Learned to Program Mainframes in Night Shift holding Day Job as Process Engineer.
    - Certified in UNIX, C, FORTRAN; Learned to program in Algorithmic Language (ALGOL).
    - Process Engineering to MIS/EDP Transition to Automate Programming of Car Building Robots.
    • Executive Engineer (Process Engineering, Production Engineering), Team Leader of 25.
    Project Leader, Japan-India Technology Transfer and New Technology Development.
    Japanese CEO's Award for Top Rank in Japanese Language for Managers & Engineers program.
    - Awarded Multiple Kaizen Quality Improvement Awards for Process Engineering Innovations.
    - Applied Kanban and 'Agile' Process Engineering Methodologies in Processes and Operations.
    - Youngest Executive Engineer & Project Manager in the Cohort of Elite/IIT/IIM Engineers.

Algorithmic Trading & Computational Finance: SAS, MATLAB, C++, C++11, Machine Learning, Signal Processing

Deep Learning Algorithmic Trading Hedge Fund Ventures: Algorithms, Machine Learning, Deep Learning; C++ Design Patterns, Monte Carlo Models, Black-Scholes Model, C++11 Multithreading and Concurrency, SAS Applied Data Science, SAS Advanced Data Mining Models, Uncertainty Modeling, Machine Learning, Computer Algorithms, Mathematical Computation, Computational Cryptography, Artificial Intelligence & Modeling, Machine Learning, Soft Computing, Multivalent Logic, Fuzzy Systems, Computational Complexity, Computational Economics, Graph Theory, Social Networks Analysis, Game Theory, Bayesian Models, Automata, Computability, Formal Languages

Algorithms & Mathematical Models of Computing Machines

Complexity theory, Computability theory, Automata theory, Regular Languages, Finite Automata, Nondeterminism, Regular Expressions, Nonregular Languages, Pumping Lemma, Context-Free Languages, Context-Free Grammars, Pushdown Automata, Non-Context-Free Languages, Church-Turing Thesis, Turing Machines, Variants of Turing Machines, Hilbert’s Problems, Decidable Languages, Undecidability, Undecidable Problems from Language Theory, Computation Histories, Mapping Reducibility, Time Complexity, Measuring Complexity, Class P, Class NP, P versus NP, Cook-Levin Theorem, NP-complete Problems.

Algorithms & Computational Complexity

Big-O and Small-O, Primality Testing, Euclid's Algorithm, Fermat's Little Theorem, Recurrence Relations, Divide-and-Conquer Algorithms, Fast Fourier Transform, Undirected Graphs, Depth-First Search, Directed Graphs, Directed Acyclic Graphs (DAGs), Breadth-First Search, Dijkstra's Algorithm, Shortest Path Algorithms, Bellman-Ford Algorithm, Greedy Algorithms, Minimum Spanning Trees, Kruskal's Algorithm, Prim's Algorithm, Huffman Encoding, Horn Formulas, Dynamic Programming, Topological Ordering, Knapsack Problem, Floyd-Warshall Algorithm, Traveling Salesman Problem, Linear Programming, Duality, Complexity Reductions, Network Flows, Max-Flow Minimum Cut Algorithm, Bipartite Matching, Simplex Algorithm, NP-Completeness, Satisfiability (SAT), Integer Linear Programming, Vertex Cover, Clique, NP-Complete Reductions.

Algorithms, Cyber Networks & Computational Economics

Graph Theory, Social Networks Analysis, Network Strength, Network Structure, Graph Partitioning, Homophily, Structural Balance, Game Theory, Dominant Strategies, Nash Equilibria, Mixed Strategies, Evolutionarily Stable Strategies, Braess's Paradox, Auctions and Pricing, Auction Formats, Bidding Strategies, Matching Markets, Bipartite Graphs, Market-Clearing Prices, Equilibria in Trading Networks, Power in Social Networks, Nash Bargaining Solution, Modeling Network Exchange, Information Networks, WWW Link Analysis, PageRank, Spectral Analysis, VCG Principle, VCG Prices, Bayes' Rule, Information Cascades, Network Effects, Negative Externalities, Power Laws, Rich-Get-Richer Models, Long Tail, Information Cascades, Decentralized Search, Epidemic Models, Wisdom of Crowds Models, Asymmetric Information, Reputation Systems, Voting Systems.

Algorithms, Cryptography, Cryptology & Cyber Security

Shannon's Information Theory, Modular Arithmetic, Number Theory, Symmetric Cryptography, Data Security, Stream Ciphers, Linear Feedback Shift Registers (LFSR), Data Encryption Standard (DES), Triple DES (3 DES), Galois Fields, Advanced Encryption Standard (AES), Block Ciphers (ECB, CBC, OFB, CFB, CTR, GCM), Public-Key Cryptography, RSA Cryptosystem, Public-Key Cryptosystems, Discrete Logarithm Problem, Diffie-Hellman Key Exchange, Elgamal Encryption Scheme, Elliptic Curve Cryptosystems, Digital Signatures, RSA Signature Scheme, Elgamal Signature Scheme, Digital Signature Algorithm, Elliptic Curve Digital Signature Algorithm, Hash Functions, Hash Algorithms, Message Authentication Codes (MACs, HMAC, CBC-MAC, GMAC), Key Establishment (Symmetric and Asymmetric), Key Derivation.

C++ Mathematical Finance, Risk, Design Patterns & Derivatives Pricing Models

C++ Software Engineering Design Patterns: C++ Algorithms, Creational patterns, Virtual Copy Constructor, Factory Pattern, Singleton Pattern, Structural patterns, Adapter Pattern, Bridge Pattern, Decorator Pattern, Behavioral patterns, Strategy Pattern, Template Pattern, Iterator; C++ Computational Finance Options and Derivatives Pricing Applications: Monte Carlo Model, Black Scholes Model, Monte Carlo Call Option Pricer, Encapsulation, Open Closed Principle, Inheritance, Virtual Functions, Virtual Constructor, Bridge Pattern, Statistics Gatherer,  Wrappers, Convergence Table, Decorator Pattern, Random Number Generators, Linear Congruential Generator, Anti-Thetic Sampling, Exotics Engine, Template Pattern, Black Scholes Path Generation Engine, Asian Option, Tree Class, Pricing On Trees, Solvers, Templates, Implied Volatilities, Function Objects, Bisections, Newton Raphson Method, Smart Pointers, Exceptions.

C++11 Multithreading & Concurrency Standard Extensions and Operating Systems

Threads, Lambda Expressions, Thread Execution Modes, Thread Termination Modes, References in Multi-threading Mode, Exception Management for Threads, Resource Acquisition is Initialization (RAII), Thread Execution and Document Management, Parameter Passing in Threads, Object References in Threads, std::thread Standard Thread Library, C++ smart pointers, Inter-Thread Execution Transfer, Hardware Concurrency for Multi-Threading, Thread IDs, Preventing Broken Invariants, Mutexes and Race Conditions, Runtime Functions and Arguments Passing, Stack-Related Interface Issues and Race Conditions, std::lock Standard Thread Library, Preventing Deadlocks in Multi-threading, std::lock_guard Standard Thread Library, std::unique Standard Thread Library, std::defer Standard Thread Library, Mutex Ownership Transfers, Efficient Locking of Mutexes, compare vs. swap, Data Initialization and Race Conditions, Initialization of Static Variables, Single Writer & Multiple Readers.

Machine Learning, Signal Processing, Uncertainty & Risk Modeling, Econometric Modeling

Multivalent Logic, Uncertainty Modeling, Interval Arithmetic, Multi-Level Interval Numbers, Fuzzy Numbers, Fuzzy Arithmetic, Fuzzy Sets, Fuzzy Operations, Fuzzy Relations, Many-Valued Logic, ANFIS (Adaptive Neuro-Fuzzy Inference System) Models, MATLAB, Java Neural Network Models, C, Approximate Reasoning, Algorithms, Data Mining, Machine Learning, Supervised Learning, Unsupervised Learning, Semi-supervised Learning, Dimensionality Reduction, Pattern Recognition, Classification, Clustering, Overfitting, Underfitting, K-Means Clustering Algorithms, K-Nearest-Neighbor Algorithms, Feature Selection, Nearest Neighbor Classifiers, Naive Bayes Classifier, Bayesian Classifiers, Differential Misclassification, Bootstrap Aggregating (Bagging), Boosting, Single Link Clustering, Complete Link Clustering, Novelty Detection, Receiver Operating Characteristic (ROC), Decision Trees, Genetic Algorithms, Neural Networks, Wrappers vs. Filters, ID3 Algorithms, C4.5 Algorithms, C5.0 Algorithms, Entropy Estimation.

SAS Applied Data Science & Advanced Data Mining Models

SAS Programming Advanced Techniques and Efficiencies: User-Defined Functions, Controlling I/O Processing and Memory, Accessing Observations, Using DATA Step Arrays, Using DATA Step Hash and Hiter Objects, Combining Data Horizontally; SAS SQL: SQL Queries, Displaying Query Results, SQL Joins, Subqueries, Set Operators, Creating Tables and Views, Advanced PROC SQL Features; SAS Macros: Macro Variables, Macro Definitions, DATA Step and SQL Interfaces, Macro Programs; SAS Data Manipulation Techniques: Controlling Input and Output, Summarizing Data, Reading Raw Data Files, Data Transformations, Debugging Techniques, Processing Data Iteratively, Restructuring a Data Set, Combining SAS Data Sets, Creating and Maintaining Permanent Formats; SAS Programming: SAS Programs, Accessing Data, Producing Detail Reports, Formatting Data Values, Reading SAS Data Sets, Reading Spreadsheet and Database Data, Reading Raw Data Files, Manipulating Data, Combining SAS Data Sets, Creating Summary Reports.

Technologies of Computational Quantitative Modeling, Quantitative Finance & Risk Management

Algorithms: Graph Theory, Dynamic & Linear Programming, Computational Complexity
Algorithms: Social Networks Analysis, Game Theory, Nash Equilibrium, Financial Markets
Algorithms: Mathematical Models of Automata, Computability & Formal Languages
Algorithms: Computational Mathematical Models of Cryptography & Encryption Protocols
Advanced Statistical Models & Machine Learning Numerical Methods for Large Data Frameworks
Bayesian Inference & Markov Chain Monte Carlo Models for High-Dimensional Stochastics
C++11 Concurrency & Multi-threading, Machine Learning, & Java Neural Network Models
C++ Mathematical Finance Derivatives Pricing & Software Engineering Algorithms
C++ Design Patterns Financial Programming for Derivatives & Options Pricing
C++ Financial Programming for Quantitative Finance Models & Applications
C++ Programming for Financial Engineers Course, University of California Berkeley
Cybersecurity-Signal Processing: Cryptography, Finance Protocols, Information Assurance
Network Penetration Testing & Protocols Analyses: Metasploit Pro, Nmap, Wireshark, etc.
Network Security: CCNA Security, ICND1, ICND2; Network Intrusion Detection & Prevention
Statistics for Financial Engineers Course, University of California Berkeley
Math Foundations for Financial Engineers Course, University of California Berkeley
MATLAB Advanced Financial Econometrics Markov Chain & Monte Carlo Models
MATLAB Market Risk, Credit Risk, Volatility, VaR, ARCH, GARCH, EVT, ES Models
MATLAB/MS-Excel/C++ Credit Risk Management & Credit Risk Derivatives Models
MATLAB Stocks and Equity Portfolio Management & Equity Derivatives Models
MATLAB Continuous Time Interest Rates, Yield Curve, Fixed Income Derivatives Models
MATLAB Stochastic Numerical Methods & Mathematics for Quantitative Finance
MATLAB Artificial Intelligence-Machine Learning-Fuzzy Logic-Chaotic Time Series Models
MATLAB Advanced Statistical, Financial Econometrics & Optimization Models
MATLAB Advanced Finance Portfolio Theory, CAPM & APT Matrix Algebra Models
MS-Excel Market Risk, Credit Risk, Volatility, VaR, ARCH, GARCH, EVT, ES Models
MS-Excel/VBA Hedge Fund Statistical Risk/Returns, Asset Pricing, Market Risk Models
MS-Excel/VBA Fixed Income Portfolio Management & Fixed Income Derivatives Models
MS-Excel/VBA Advanced Quantitative Models of Utility Theory & Portfolio Management
MS-Excel/VBA Advanced Statistical, Financial Econometrics & Optimization Models
MS-Excel/VBA/ACL Advanced Financial Accounting & Financial Auditing Models
MS-Excel/VBA/Solver/Macros for Operations Research & Network Programming Models
MS-Excel/VBA/Solver/Macros for Finance, Investments, Accounting Decision Models
SAS Advanced Programming, SAS SQL Processing & SAS Macro Programming Courses
SAS Large Scale Data Models of High-Frequency Econometrics & Market Microstructure
SAS Advanced Quantitative Models of Macroeconomics & Microeconomics Analysis
SAS/SPSS Statistical Analysis of Variance (ANOVA) & Co-Variance (ANCOVA) Models
SAS/SPSS Applied Multivariate Analysis & Applied Regression Analysis Models
SAS/SPSS Correlation, Multivariate Regression & Inferential Statistics Models
SAS/SPSS Quantitative Statistical Structural Equation Models in Behavioral Science
SAS/SPSS Quantitative Statistical Methods in IT, Organizations & Social Sciences
Quantitative Structural Equation Models of Risk Management, Controls & Compliance
Statistical Multivariate Regression Models of Risk Management, Controls & Compliance
Qualitative Survey Research Methods in Organizational Controls & Compliance Analysis.


HONORS & AWARDS
line


*E-mail: Dr.Yogesh.Malhotra[at]gmail.com *LinkedIn: linkedin.com/in/yogeshmalhotra
Model Risk Management Research Impact among Finance Nobel Laureates such as Black-Scholes & Markowitz.
AI-Algorithms-Machine Learning: Hedge Funds: Model Risk Arbitrage, Cyber-Finance & Insurance Pioneer.
Wall Street Investment Banks-Hedge Funds Quant: Invited Princeton University Quant Trading Presentations.
Global Computational Quant Leaderships: Digital, Computational, Quant, Cyber Risk Management-Analytics:

Wall Street Hedge Funds Quant, Big-3 Banking-Finance and IT-Telecom Firms; Silicon Valley VCs & CxOs;
National Science Foundation; United Nations; US-World Governments, Economies & Defense Agencies.

SSRN

2015-2018: 63 Top-10 SSRN Research Rankings: Top 3% SSRN Authors
Post-Doctoral R&D in AI, Algorithms, and, Machine Learning: 20 Papers & Presentations

Princeton University
2015 - 2018: Princeton FinTech & Quant Trading, Invited Presentations
Sponsors: Princeton University, Goldman Sachs, Citadel, SIG, KCG.

MIT Sloan School of Management Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education MIT Computer Science & ArtificialIntelligence Laboratory CSAIL Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education
2017 - 2018:
MIT Sloan School of Management-MIT Computer Science & AI Lab
MIT Industry Expert: Management & Leadership: AI, Machine Learning & Deep Learning

Over 20-Years of Global High Impact Hi-Tech Digital Practices Leadership
spans Silicon Valley to Seoul and all continents in between.

AACSB

AACSB logo

Research Impact among Finance & IT Nobel Laureates in AACSB and Scientific Impact Studies.
  
Wall Street Journal
  
Worldwide Business and IT Editorial Coverage & Interviews in Wall Street Journal, New York Times, Fortune, Fast Company, Forbes, Business Week, CIO, CIO Insight, Computerworld, Information Week, etc.
Risk Management Tech Ventures leading Computational Quantitative Analytics, Machine Learning, Data Science, Quantitative Finance, & Cybersecurity Practices.

 

CyberspaceOrganizations

Microsoft

"In his latest book, Knowledge Management and Virtual Organisations, KM luminary, Dr. Yogesh Malhotra, offers some cautionary advice. He exposes three myths often associated with KM solutions."
- Microsoft

  CyberspaceBusinessModels

city-university-hong-kong

"Knowledge Management and Business Model Innovation brings together the latest thinking on issues at the forefront of teaching innovation and professional imagination."
- M. Lynne Markus
, Professor and Department Chair of Electronic Business, City University of Hong Kong


Honors & Awards

  • Marquis Who's Who® in: America, World, Finance & Industry, Science & Engineering

    Selected for inclusion in *Marquis Who's Who® biographical profiles of worldwide leaders and achievers from both the United States and around the world in:

    • Marquis Who's Who in the World
    ®, Since 1999.
    • Marquis Who's Who in Finance & Industry
    ®, Since 2001.
    • Marquis Who's Who in America
    ®, Since 2002.
    • Marquis Who's Who in Science & Engineering
    ®, Since 2006.

  • 2018: 63 SSRN Top-10 Research Rankings: Top 3% SSRN Authors:
    Computational Quant Analytics; AI & Decision Modeling; Algorithms & Machine Learning, Quantum Computing.

    • 2015-2018: 63 SSRN Top-10 Research Rankings: Top 3% SSRN Authors:
    Computational Quant Analytics; AI & Decision Modeling; Algorithms & Machine Learning; Quantum Computing.
    SSRN Top-10 Research Ranking Categories: 
    • Accounting Technology & Information Systems,
    • Accounting, Corporate Governance, Law & Institutions,
    • Artificial Intelligence,
    • Banking & Insurance,
    • Capital Markets,
    • Cognition in Mathematics Science & Technology,
    • Community College Education,
    • Computational Biology,
    • Computational Techniques,
    • Computer Science,
    • Computing Technologies,
    • Conflict Studies,
    • Corporate Governance Practice Series,
    • Corporate Governance: Disclosure Internal Control & Risk-Management,
    • Cultural Anthropology,
    • Cyber-Conflict (Inter-State),
    • Cyberlaw,
    • Decision-Making under Risk & Uncertainty,
    • Econometric & Statistical Methods,
    • Econometric Modeling,
    • Econometric Modeling: Capital Markets - Risk,
    • Econometrics,
    • Econometrics: Econometric & Statistical Methods,
    • Econometrics: Mathematical Methods & Programming,
    • Economics of Networks,
    • Forensic Accounting,
    • Government Expenditures & Education,
    • Hedging & Derivatives,
    • Information Systems & Economics,
    • Information Systems: Behavioral & Social Methods,
    • Information Technology & Systems,
    • Innovation & Management Science,
    • Innovation Finance & Accounting,
    • Innovation Law & Policy,
    • Inter-State Conflict,
    • Interorganizational Networks & Organizational Behavior,
    • IO: Productivity, Innovation & Technology,
    • IO: Regulation, Antitrust & Privatization,
    • Labor: Human Capital,
    • Legal Perspectives in Information Systems,
    • Machine Learning,
    • Mathematical Methods & Programming,
    • Microeconomics,
    • Microeconomics: Decision-Making under Risk & Uncertainty,
    • Military & Homeland Security,
    • Mutual Funds, Hedge Funds, & Investment Industry,
    • Operations Research,
    • Pedagogy,
    • Political Economy - Development: Public Service Delivery,
    • Postsecondary Education,
    • Risk Management,
    • Risk Management & Analysis in Financial Institutions,
    • Risk Management Controls,
    • Risk Modeling,
    • Risk, Regulation, & Policy,
    • PSN: Security & Safety,
    • Social Network Analysis,
    • Sociology of Innovation,
    • Stochastic Models,
    • Sustainable Technology,
    • Systemic Risk,
    • Telecommunications & Network Models,
    • Uncertainty & Risk Modeling,
    • VaR Value-at-Risk.

    • Supervisory Research Committee: Distinguished Computer Scientists & Mathematicians,
    - Air Force Research Lab, NYS Cyber Research Institute, SUNY.
    • Mentors: World Leaders in Asset Management, Risk Management, & Systematic Trading, 
    - Top Wall Street Investment Banks & Hedge Funds with $1 Trillion AUM.

  • 2018 Princeton Quant & FinTech Conference, Princeton University

    Model Risk Management in AI, Machine Learning & Deep Learning:
    Beyond Deep Learning & Generative Adversarial Networks
    (Third in the series of the Princeton Presentations on
    AI and Machine Learning Risk Management & Control Systems).

  • 2018 MIT Industry Expert: AI, Machine Learning & Deep Learning

    MIT AI-Machine Learning Executive Guide including RPA & Cognitive Automation.

  • 2018 Bridging Networks, Systems & Controls Frameworks for Cybersecurity

    RISK.Net: Bridging Networks, Systems & Controls Frameworks for Cybersecurity Curriculums & Standards Development,
    Journal of Operational Risk, March 2018.

  • 2018 Google Mobile Apps Development: Grow with Google Scholarship

  • 2017 MIT Industry Expert: AI, Machine Learning & Deep Learning

  • 2017 National Association of Insurance Commissioners (NAIC) Expert Paper

  • 2017 ACM: Association for Computing Machinery:
    Global Computer Scientists Editorial Team: FinTech Industry Expert

  • 2016 Fintech-Algorithms Research: Switzerland: Transformation of Finance

    2016 European Cooperation in Science & Technology:
    Switzerland Federal Department of Economic Affairs: Math-Fintech Industrial Research:
    Mathematics-FinTech-Algorithms: Digital Transformation of Global Banking & Finance, 2016.

  • 2016 National Association of Insurance Commissioners (NAIC) Expert Panel

  • 2016 New York State Cyber Security Conference: 'Future of CyberFinance'​

    Presentation: CyberFinance: Why Cybersecurity Risk Analytics must evolve to Survive 90% of Emerging Cyber Financial Threats, and, What You Can Do About It? 
    Special Interest Topics: Related to: Finance Sector - Best practices and effective ways to increase the security of financial and personal customer information. 2016 NYS Cyber Security Conference: "Focusing the Cyber Security Lens", June 8 - 9, 2016, Empire State Plaza - Albany, NY.

  • 2016 Princeton Quant Trading Conference: Model Risk Arbitrage-FinTech

    Invited Research Presentation on financial innovation Model Risk Arbitrage, Princeton University.
    - Sponsors: Princeton University, Goldman Sachs, Citadel, SIG, Apr 16, 2016.
    - Beyond Stochastics to Non-Deterministic Finance: Model Risk Arbitrage-Open Systems Finance
    - Model Risk Arbitrage, Open Systems Finance, and, Black Hat Finance

  • 2015 Princeton Quant Trading Conference: Future of Finance beyond Flash Boys

    Invited Research Presentation on the Future of Finance beyond Flash Boys, Princeton University.
    - Sponsors: Princeton University Bendheim Center & ORFE, Citadel, KCG Holdings, Apr 4, 2015.
    - Model Risk Management: Quantitative Finance, Cyber Finance, & Cyber Risk Insurance Modeling
    - Cyber Finance, Machine Learning, Bayesian Inference, Markov Chain Monte Carlo Models

  • State Street Bank HQ Invited Presentation: Modeling Extreme Risks

    Extreme Cyber Risk Computational Quant Finance Models, Aug. 2015:
    State Street Bank World HQ, Boston, MA.

  • 2015 NYSETA Conference: Advancing Cybersecurity Standards & Practices

    New York Cyber Security & Engineering Technology Association

    Bridging Networks, Systems, and, Controls Frameworks for Cybersecurity Standards & Practices.
    New York Cyber Security & Engineering Technology Assocn, Rochester Institute of Technology.
    October 22-23, 2015.

  • National Association of Insurance Commissioners (NAIC): National Expert Panel: Cybersecurity Risk, Insurance, & Value-at-Risk (VaR) Modeling Expert

    Post-Doctoral Thesis Pioneering Cyber Risk Insurance Analytics: Committee: Distinguished Scientists, Air Force Research Lab and New York State Cyber Research Institute
  • AACSB Reports Impact of Research among Finance Nobel Laureates

    Recognized among 'exemplars'​ of 'considerable impact on actual practice' such as Black-Scholes & Harry Markowitz by the AACSB International Impact of Research Report, 02/2008, with research advancing execution of SR11-7 & OCC2011-12 US Fed & OCC Model Risk Guidance.

  • United Nations Global Economists Expert Panel Quant on Digital Assets

    United Nations World Headquarters Quant Expert among 1 of 4 Global Expert Economists Leading Global Development of Measurement Models of National Knowledge Assets and Digital Assets. 
    - Invited Global Keynote for the UN Global Conference of Global Expert Economists.
    - Invited Expert Paper for the UN Global Conference of Global Expert Economists.

  • 32 National Science Foundation Cyber Security Computing Expert Panels

    National Science Foundation US Cyber Computing & Cyber Security National Expert Panels:
    Invited Technical Expert on 32 National Science Foundation US Cyber Computing & Cyber Security National Expert Panels: Judge and Referee for allocation of Multi-Million dollar US Federal IT and Computing Commercialization SBIR/STTR Grants.

  • CNET Networks Corporate Computing Award for Most Influential Research

    CNET Networks Corporate Computing Award for Most Influential Research, 2002:
    Risk Management Frameworks & Models for Preempting Large Scale Systems Failures.

  • Ziff Davis Global Standard of Internet Commerce co-Founding Editor

    Ziff Davis Global Standard of Internet Commerce, 1 of 4 Founding Editors & Founding Members 
    - National Leadership of US Corporate CIOs & CTOs Executing the E-Commerce Standard.

  • Digital Transformation & Quantitative Models: Grants: Intel Corp., UN,...

    Invited External Grants
    • United Nations World Headquarters Invited Research Grant on Digital Assets Measurement, 2003.
    • Intel Corporation Invited Research Grant on Next Generation e-Business Architectures, 2001.

    Internal Faculty Grants
    • Syracuse University Snyder Innovation Management Center Research Grant, 2003-2005, 2008.
    • Syracuse University Brethen Operations Management Institute Research Grant, 2005.
    • Syracuse University Whitman School of Management Research Grant, 2003-2005.
    • Center for Creation and Management of Digital Ventures Research Grant, 2003-2004.
    • Martin J. Whitman School of Management Innovation Grant, Syracuse University, 2004.
    • Kaufman Foundation, Life-Long Learning for Entrepreneurship Innovation, 2003.
    • SAP University Alliance, SAP ERP/CRM Innovation Grants, 2003.

  • Among BPR, Digital Transformation, &, Knowledge Management Pioneers

    2008: AACSB Reports Impact of Research among Finance Nobel Laureates
    2007: Digital Transformation Strategy Pioneers, Business Standard (India)
    2006: Marquis Who's Who in Science & Engineering®
    2006: Knowledge Management Pioneers and Gurus, Emerald Publishing (UK)
    2005: US-Canada Fulbright-Queen's University Visiting Research Chair Invitation (Canada)
    2004: Most Cited Authors on Knowledge Management for 1995-2001, ASIS&T
    2003: United Nations HQ Global Economists Expert Panel Quant on Digital Assets
    2003: Most Cited Authors in Knowledge Management for 1990-2002, University of Minnesota
    2002: Marquis Who's Who in America®
    2001: Marquis Who's Who in Finance & Industry®
    2001: Conference Board: Leading New Economy Workplaces, Advisory Board 
    2000: KMWorld 2000: Digital Transformation, Santa Clara (Silicon Valley), CA.
    2000: Vision Korea National Campaign, Maeil Business TV & Newspaper, South Korea (S Korea)
    2000: Most Influential Scholars & Practitioners Worldwide in Knowledge Management, ISWorld
    2000: Knowledge Inc. Top Knowledge Management Experts and Luminaries
    1999: Marquis Who's Who in the World®
    1999: TiE Worldwide, Silicon Valley Venture Capitalists and Angel Investors
    1999: Government of Mexico National Parliament Cabinet Ministers: G8 e-Government (Mexico)
    1999: Conference Board, Executive Council of Global Center for Performance Excellence
    1999: Annual Knowledge Management World Summit, BrainTrust '99, San Francisco, CA
    1998: Ziff Davis Who's Who in the Internet Commerce Standard
    1998: Leaders and Legends of Business Intelligence & Data Warehousing.
    1998: CRM Leaders and Legends of Intellibusiness.
    1998: Government of Netherlands National Parliament Cabinet Ministers (Netherlands)
    1996-1998: US Federal Government, Council Partner, BPR & Best Practices Council.
    1997: Academy of Management, First Best Reviewer Award, 1997
    - Organizational Communication & Information System (OCIS)

    1997: Academy of Management Doctoral Consortium Fellow.
    - TIM: Technology & Innovation Management, OCIS
    1997: Association for Information Systems Doctoral Consortium Fellow.

  • Founder, Computerworld Top Digital Site, Search Engine, & Social Network

    Entrepreneurial Programmer while working on Top-10 PhD Research Fellowship.
    • World's Top Digital Transformation Research Site (Best Web Site Award, Computerworld).
    • World's Top-3 Search Engine (Carnegie Mellon Industry.Net Awards).
    • World's Top-10 Social Network (Popular Rankings among others such as LinkedIn).
    • World's Largest Global Virtual Community of Digital Transformation Practice of 130,000
    • Pioneered Enterprise Risk Management (ERM) and Model Risk Management (MRM) Practices.
    • ASTD interview among Virtual Organization pioneers such as Hatim A. Tyabji, CEO, Verifone.
    • Invited by Harvard Business Publishing to lead digital evolution of Harvard Business Review.
    • Editorial reviews as industry benchmark by AACSB, ACM, AICPA, IEEE, INFORMS, SHRM, Fortune, Harvard, Inc., MIT, Princeton, Stanford, UC Berkeley, Wharton, Yale, etc.:
    - Fast Company: "If Brint doesn't have it, then you probably don't need it."
    - Business Week [e-Business]: "What every CEO should know."
    - Business Week: "Best business information source." 
    - Wall Street Journal: "Contemporary business management and technology issues." 
    - Fast Company: "Yahoo! for Business & Technology." 
    - Forbes: "Tool for raising your company's IQ." 
    - Fortune: "Thumbs up for this serious surfer's tool useful for managers." 
    - San Jose Mercury News: "First for in-depth company & industry research." 
    - Wall Street Journal: "Complexity theory made easy." 
    - New York Times: "Invaluable for applying complexity theory." 
    - Wall Street Journal: "Largest collection of knowledge management." 
    - Fast Company: "Best source for knowledge management." 
    - CIO Magazine: "Wealth of incredibly rich, useful and interesting information." 
    - Computerworld: "Best site for IT and business information." 
    - Information Week: "Unparalleled in depth and relevance for business research." 
    - InfoWorld: "Best web site for hi-tech industry developments." 
    - InfoWorld: "Best web site on the topic of knowledge management."

  • US & World Governments, Silicon Valley & Wall Street Thought Leader

    Invited Keynotes and Expert Panels across USA, North America, Europe, Asia:
    Thought Leader of Silicon Valley CEOs/VCs and Largest National Economies and Global Firms.
    Global Thought Leader & Advisor for NSF, UN, US & World Governments-Parliaments:
    • US & World Governments & Parliaments, Digital Transformation and e-Government Strategies
    • US & World Governments & Parliaments/Cabinets (N. America, Europe, Asia)
    - Mexico - Mexican Parliament Cabinet Ministers, 13 National CIOs, 600 Sr. IT Executives.
    - Netherlands - Advisor to Cabinet Minister, National Parliament Cabinet Ministers' Expert Panel.
    - South Korea - National TV Broadcast & Newspaper Interview, Maeil Business, S. Korea.
    - South Korea - Vision Korea Campaign - 400 National Leaders in Business & Government.
    - USA - Council Partner, US Federal Agencies Best Practices Council.
    • United Nations World HQ Keynote on Quant Measurement of National Knowledge Assets.
    • Conference Board, Executive Council of Global Center for Performance Excellence
    • Institute for Supply Management

  • Invited interviews by Wall Street Journal, Inc., Fortune, CIO,...

    Invited interviews by worldwide Business & Technology media including Wall Street Journal, Inc., Fortune, CIO Enterprise, CIO Insight, Information Week, Government Executive, Government Technology, Federal Computer Week, Business Standard (India), Maeil Business (South Korea),...

  • Worldwide Coverage of Finance-IT-Risk Ventures as Industry Benchmarks

    Wall Street Journal, New York Times, Fortune, Inc., Fast Company, Business Week, etc.

    Enterprise Risk Management and Model Risk Management ventures named as global CxO practices benchmarks in global business technology media including Wall Street Journal, New York Times, Los Angeles Times, Fortune, Forbes, Inc., Business Week, Harvard Business Publishing, San Jose Mercury News, Computerworld, Information Week, CIO Magazine, CIO Insight, etc.

  • Best Reviewer Award: Quant Models: AoM; ACM, IEEE, IBM, Harvard,...

    • Editorial Boards-Expert Panels of Tier-1 Computer Science, IT, & Operations Research Journals.
    • Academy of Management, First Best Reviewer Award
    - Organizational Communication & Information System (OCIS): Quantitative Structural Models
    • Referee: 100+ Statistical Structural, Quant & Econometric Models: Top-tier Journals & Conferences.
    • 40+ Publishers: e.g. ACM, IBM, IEEE, Cambridge University Press, Harvard Business Publishing.

  • Invited Executive Education Faculty: Carnegie Mellon, Kellogg; INSEAD,...

    • Carnegie Mellon University Executive Education Program
    • INSEAD (France)
    • Kellogg School of Management Executive Education Program
    • Queen's University: Centre for Knowledge-Based Enterprises (Canada)

  • Top-10 MIS PhD,MSQF,MSCS,MSNCS,MSAcc,MBAEco, BE,CEng,CISSP,CISA,CEH,CCP/CDP,CPA (Education)

    Top-10 MIS PhD,MSQF,MSCS,MSNCS,MSAcc,MBAEco, BE,
    CEng,CISSP,CISA,CEH,CCP/CDP,CPA (Education)
    • Top-10 MIS Quant PhD: IT & Statistics Double Credits: Quantitative Risk & Controls Modeling
    - Full Scholarship & PhD Research Fellowship with MIS & IT Strategy Pioneer
    • Top-14 MS Quant Finance, Midtown Manhattan, New York City
    - Official Mentor: JP Morgan Global Head of Risk & Analytics & US Head of Portfolio Management
    • MBA Quant Economics: Perfect GPA & Top Rank in Business School. Top ILP Quant Modeler.
    - Full Scholarship-MBA Hypermedia Computing Fellowship with B2B Pioneer-CTO of $B B2B Firm.
    • MS Accountancy: SUNY Perfect GPA Award, Top Rank in Business School.
    - Focus: Global Financial Crisis & Risk Management Failures. NYS AICPA CPA Education fulfilled.
    • MS Network & Computer Security: SUNY Outstanding Student Award, Highest GPA.
    - Pioneering Cyber Risk Insurance Thesis: Advisors: Top AFRL Scientists. Top Ethical Hacker.
    • MS Computer Science: Pioneering Research on Crypto-Currencies & Cryptanalysis Algorithms
    - First Tech Report on Bitcoin ‘Cryptographic Proof’: Interview by Hong Kong Institute of CPAs.

  • DoDD 8570 Cyber Security Certifications; CISSP, CISA, CEH, CCP/CDP

    U.S. Department of Defense Directive 8570 (DoDD 8570)
    • Since 2005: Certified Information Systems Security Professional, CISSP, (ISC)²
    • Since 2007: Certified Information Systems Auditor, CISA, ISACA
    • Since 2014: Certified Ethical Hacker, CEH, EC-Council
    • 2015-2016: CompTIA Security+ Network Security Instructor, State of New York
    • 2014: Ethical Hacking & Countermeasures for Penetration Testing, EC-Council
    • Since 1993: Certified Computing Professional/Certified Data Professional, CCP/CDP, ICCP
    • Since 1989: Chartered Engineer & Life Member, The Institution of Engineers, C.Eng.
    • 2010: AICPA CPA-Education Requirements Fulfilled, AICPA, State of New York.
    • SAS Certified by SAS Institute • MATLAB Certified by the MathWorks.
    • SAP University Alliance Faculty Certifications: SAP-ERP, SAP-CRM.
    • ABA/AIB: 1st in: Marketing for Bankers, Financial Statements Analysis, Principles of Banking
    • Kaufman Foundation Entrepreneurship Innovation Faculty Certification.
    • Other Memberships:
    ACM, Academy of Management, AIS, INFORMS, IEEE, Institution of Engineers, Robotics International/SME, ASME.


PROJECTS PORTFOLIO
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2015-2018: 63 SSRN Top-10 Research Rankings: Top-3% SSRN Authors:
AI, Algorithms & Machine Learning; Anticipatory & Predictive Analytics:
Computer Science, Cybersecurity, Insurance, Quantitative Finance & Trading
SSRN Top-10 Research Ranking Categories:
• Accounting Technology & Information Systems,
• Accounting, Corporate Governance, Law & Institutions,
• Artificial Intelligence,
• Banking & Insurance,
• Capital Markets,
• Cognition in Mathematics Science & Technology,
• Community College Education,
• Computational Biology,
• Computational Techniques,
• Computer Science,
• Computing Technologies,
• Conflict Studies,
• Corporate Governance Practice Series,
• Corporate Governance: Disclosure Internal Control & Risk-Management,
• Cultural Anthropology,
• Cyber-Conflict (Inter-State),
• Cyberlaw,
• Decision-Making under Risk & Uncertainty,
• Econometric & Statistical Methods,
• Econometric Modeling,
• Econometric Modeling: Capital Markets - Risk,
• Econometrics,
• Econometrics: Econometric & Statistical Methods,
• Econometrics: Mathematical Methods & Programming,
• Economics of Networks,
• Forensic Accounting,
• Government Expenditures & Education,
• Hedging & Derivatives,
• Information Systems & Economics,
• Information Systems: Behavioral & Social Methods,
• Information Technology & Systems,
• Innovation & Management Science,
• Innovation Finance & Accounting,
• Innovation Law & Policy,
• Inter-State Conflict,
• Interorganizational Networks & Organizational Behavior,
• IO: Productivity, Innovation & Technology,
• IO: Regulation, Antitrust & Privatization,
• Labor: Human Capital,
• Legal Perspectives in Information Systems,
• Machine Learning,
• Mathematical Methods & Programming,
• Microeconomics,
• Microeconomics: Decision-Making under Risk & Uncertainty,
• Military & Homeland Security,
• Mutual Funds, Hedge Funds, & Investment Industry,
• Operations Research,
• Pedagogy,
• Political Economy - Development: Public Service Delivery,
• Postsecondary Education,
• Risk Management,
• Risk Management & Analysis in Financial Institutions,
• Risk Management Controls,
• Risk Modeling,
• Risk, Regulation, & Policy,
• PSN: Security & Safety,
• Social Network Analysis,
• Sociology of Innovation,
• Stochastic Models,
• Sustainable Technology,
• Systemic Risk,
• Telecommunications & Network Models,
• Uncertainty & Risk Modeling,
• VaR Value-at-Risk.

Recent Research Presentations and Research Reports
*2018 Princeton FinTech & Quant Conference: Invited Research Presentation: AI-Machine Learning-Deep Learning MRM.
*2018 MIT Sloan-Computer Sc. & AI Lab AI-Machine Learning Executive Guide including RPA & Cognitive Automation
*2018 Journal of Operational Risk, March: Toward 'Cyber-Finance’ Cyber Risk Management Frameworks of Practice.
*2017 National Association of Insurance Commissioners, June , Advancing Cyber Risk Insurance beyond VaR Models.
*2017 IUP Journal of Computer Sciences, April, Quantitative Modeling of Trust and Trust Management Protocols.
*Stress Testing for Cyber Risks: Cyber Risk Insurance Modeling beyond Value-at-Risk: Risk, Uncertainty, & Profit.
*Toward Integrated Enterprise Risk Management, Model Risk Management & Cyber-Finance Risk Management.
*Bridging Networks, Systems and Controls Frameworks for Cybersecurity Curricula & Standards Development.
*Advancing Cognitive Analytics Using Quantum Computing for Next Generation Encryption.
*Invited Princeton Quant Trading Presentations: 'Rethinking Finance' for the Era of Global Networked Digital Finance.
*2016 Princeton Quant Trading Presentation: Beyond Model Risk Management to Model Risk Arbitrage for FinTech Era.
*2015 Princeton Quant Trading Presentation: Future of Finance Beyond 'Flash Boys': Managing Uncertainty.
*
Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: ERM to MRM.
*A Risk Management Framework for Penetration Testing of Global Banking & Finance Networks VoIP Protocols.
*CyberFinance: Why Cybersecurity Risk Analytics Must Evolve to Survive 90% of Emerging Cyber Financial Threats.
*Beyond 'Bayesian vs. VaR' Dilemma: How to Manage Risk (After Risk Management Has Failed) for Hedge Funds.
*
Measuring & Managing Financial Risks with Improved Alternatives Beyond Value-at-Risk (VaR).
*Markov Chain Monte Carlo Models for High-Dimensionality Complex Stochastic Problems in Network Security.
*Risk, Uncertainty, & Profit for the Cyber Era: 'Knight Reconsidered': Model Risk Management in Cyber Risk Insurance.
*Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: ERM to Model Risk Management.
*Number Field Sieve Cryptanalytic Algorithms for Most Efficient Prime Factorization on Composites: Beyond RSA 1024.
*Future of Bitcoin & Statistical Probabilistic Quant Methods: Global Financial Regulation: Hong Kong Institute of CPAs.
*Bitcoin Protocol & Bitcoin Block Chain: Model of 'Cryptographic Proof' based Global Crypto-Currency Payment Systems.
*2015-2018 63 SSRN Top-10 Rankings: Computational Quant & Risk Analytics Algorithms Machine Learning Research.
*2008 AACSB International Impact of Research Report: Among Black-Scholes, Markowitz, Sharpe, Modigliani & Miller.

Top Wall Street Investment Banks Quantitative Finance Projects & FinTech Ventures
Princeton: Future of Finance: 'Rethinking Finance' for Era of Global Networked Digital Finance
2017 National Association of Insurance Commissioners: Expert Paper: Cyber Risk Insurance Modeling
2016 Princeton Quant Trading Conference: Invited Research Presentation: Model Risk Arbitrage
2015 Princeton Quant Trading Conference: Invited Research Presentations: Future of Finance
Quantitative Finance Risk Analytics Modeling Wall Street Investment Banks & VC Projects
Model Risk Management: Risk Management Analytics from 'Prediction' to 'Anticipation of Risk'
Quantitative Finance Risk Analytics, Econometric Analytics, Numerical Programming Models
Quantitative Finance Model Risk Management for Systemic-Tail Risks in Cyber Risk Insurance
JP Morgan Portfolio Optimization, VaR & Stress Testing: 17-Asset Class Portfolio
JP Morgan Portfolio Liquidity Risk Modeling Framework for $500-600Bn Portfolio
Bayesian VaR Beyond Value-At-Risk (VaR) Model Risks Exposed by Global Financial Crisis
Goldman Sachs Alumnus Asset Manager Large-Scale Data High Freq Econometric Models
Quantitative Finance, Risk Modeling, Econometric Modeling, Numerical Programming
Technologies of Computational Quantitative Finance & Risk Analytics and Risk Management
Algorithms & Computational Finance: C++, SAS, Java, Machine Learning, Signal Processing
Cybersecurity, Financial Protocols & Networks Protocols Analysis, and, Penetration Testing
Impact: Quantitative Finance, Quantitative Risk Analytics & Risk Management Projects
Digital Social Enterprise Ventures Creating Trillion $ Practices for Hundreds of Millions

Named among FinTech Finance & IT Nobel laureates for Real World Impact of Research
FinTech Innovations: Model Risk Arbitrage, Open Systems Finance, Cyber Finance, Cyber Insurance
AACSB International Reports Impact of Research among Black-Scholes, Markowitz, Sharpe
Research Impact Recognized among Finance & Information Technology Nobel laureates
63 SSRN Top-10 Rankings: AI, Algorithms & Machine Learning; Cybersecurity; Computational Quant Finance
FinTech Innovations: Model Risk Arbitrage, Cyber Finance, Cyber Risk Insurance Modeling
Computational Quantitative Finance Modeling & Risk Management Research Publications
Model Risk Management of Cyber Risk Insurance Models & Quantitative Finance Analytics
Thesis on Ongoing Convergence of Financial Risk Management & Cyber Risk Management
U.S. Federal Reserve & Office of the Comptroller of the Currency Model Risk Guidance
Bayesian VaR Beyond Value-At-Risk (VaR) Model Risks Exposed by Global Financial Crisis
Markov Chain Monte Carlo Models & Algorithms to Enable Bayesian Inference Modeling
OCC Notes Cybersecurity Risk & Cyber Attacks as Key Contributor to Banks' Financial Risk
Future of Bitcoin & Statistical Probabilistic Quantitative Methods: Global Financial Regulation
Models Validation Expert Panels: IT, Operations Research, Economics, Computer Science

Global, National, & Enterprise CxO Level FinTech-Cyber-Risk Analytics Ventures
CxO Think Tank that pioneered 'Digital' Management of Risk, Uncertainty, & Complexity
CxO Consulting: Global, National & Corporate Risk Management Practices Leadership
CxO Guidance: Cyber Defense & Finance-IT-Risk Management: Uncertainty & Risk
CxO Keynotes: Conference Board, Silicon Valley, UN, World Economy: Uncertainty & Risk
The Future of Finance Project Leading Quantitative Finance Practices at Elite Conferences
The Griffiss Cyberspace Cybersecurity Venture Spans Wall Street and Hi-Tech Research
UN Quantitative Economics Expert Paper & Keynote on Global Economists Expert Panel
National Science Foundation Cybersecurity & Cybercomputing National Expert Panels
Digital Social Enterprise Innovation Ventures Pioneering the Future of Risk and Quant
Global Footprint of Worldwide World-Leading CxO Risk Management Ventures & Practices

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