MIT-Princeton-Silicon Valley-Wall Street-Pentagon-Global Digital CEO-CIO-CTO-CFO-CRO-CxO Practices Pioneer
AI-Quant-Cyber-Crypto-Quantum Industry Expert: Global R&D Impact Among AI-Quant-Finance Nobel Laureates

Dr Yogesh Malhotra Silicon Valley Wall Street Pentagon Digital Pioneer MIT Princeton Industry Expert

Marquis Who's Who®: Who's Who in America®, Who's Who in the World®, Who's Who in Finance & Industry®, Who's Who in Science & Engineering®
Dr. Yogesh Malhotra  Amazon Author Page  Dr.Yogesh.Malhotra at gmail.com  SSRN  Google Scholar  Syracuse University Author.jpg

MIT-Princeton-Silicon Valley-Wall Street-Pentagon-Global Digital CEO-CIO-CTO-CFO-CRO-CxO Practices Pioneer
AI-Quant-Cyber-Crypto-Quantum Industry Expert: Global R&D Impact Among AI-Quant-Finance Nobel Laureates


AFRL Commercialization Academy MIT Computer Science & AI Lab  Princeton University  Goldman Sachs JP Morgan Asset Management

 

CIO Magazine

“The new business model of the Information Age, however, is marked by fundamental, not incremental, change. Businesses can't plan long-term; instead, they must shift to a more flexible anticipation-of-surprise model.”
- CIO Magazine Interview
: Dr. Yogesh Malhotra,
Founder, AIMLExchange™, BRINT FutureOfFinance™, C4I-Cyber™.
Worldwide Impact on Global Digital Transformation Practices.

 

Inc. Magazine

“Obsolete what you know before others obsolete it and profit by creating the challenges and opportunities others haven't even thought about...”
- Inc. Magazine Interview: Dr. Yogesh Malhotra,
Founder, AIMLExchange™, BRINT FutureOfFinance™, C4I-Cyber™.
Worldwide Impact on Global Digital Transformation Practices.



Fortune Magazine
“Yogesh Malhotra says his vision is to fill the gaps between business and technology, data and knowledge, and, theory and practice...”

- Fortune Magazine Interview:
Dr. Yogesh Malhotra,
Founder, AIMLExchange™, BRINT FutureOfFinance™, C4I-Cyber™.
Worldwide Impact on Global Digital Transformation Practices.

 

The Wall Street Journal

“Knowledge Management refers to the critical issues of organizational adaptation, survival and competence against discontinuous environmental change. Essentially it embodies organizational processes that seek synergistic combination of data and information processing capacity of information technologies, and the creative and innovative capacity of human beings.”
- The Wall Street Journal Interview
: Dr. Yogesh Malhotra,
Founder, AIMLExchange™, BRINT FutureOfFinance™, C4I-Cyber™.
Worldwide Impact on Global Digital Transformation Practices.

 

 

Institute For Supply Management

“The synergy of 'smart minds' and 'smart technologies' provides a basis for defining agile and adaptable supply chain networks that can withstand the challenges of a radically changing business environment.”
- Institute for Supply Management Interview
: Dr. Yogesh Malhotra,
Founder, AIMLExchange™, BRINT FutureOfFinance™, C4I-Cyber™.
Worldwide Impact on Global Digital Transformation Practices.

 

Artificial Intelligence: ML-DL-NLP-RPA - Cyber-Crypto Computing - Quant-Quantum-Risk Computing - Digital Transformation

 

EXECUTIVE PROFILE

Dr. Yogesh Malhotra
Silicon Valley-Wall Street-Pentagon-Global Digital Pioneer:
MIT-Princeton AI-Quant-Cyber-Crypto-Quantum-Risk Industry Expert:

R&D Impact Among AI-FinTech-Quant Finance Nobel Laureates:
Global Top CEO-CxO Networks-Teams Leader:
Founding Chairman & CEO, Global Risk Management Network LLC, NY.

MIT AI Faculty SME: AI-Machine Learning-DL-NLP-RPA-Robots
Princeton Quant Finance-Trading FinTech-Crypto SME: AI-Cyber-Quantum-Computing
Computerworld Top Digital Site, Top-3 Search Engine, Top-10 Social Network
Goldman Sachs, JP Morgan, Google, IBM, Intel, Wall Street Hedge Funds $Trillion AUM
• Global Big-3 IT, Big-3 Banking-Finance, UN-USA-World Governments-Cabinets
ACM-IEEE-NSF Computer Scientist: Cyber Security, FinTech, NIH, SBIR/STTR
CFA-PRMIA-NAIC-NYS AI-Cyber-Risk Expert: Quant Finance-Network Security Engineering

Global Digital Transformation Pioneer Interviews: CIO, Fortune, Inc., Wall Street Journal
Global Digital CEO-CxO Networks, Practices, Technologies, Teams, Ventures Leader
- AI-ML-DL, Quant-Cyber-Crypto-Quantum, Block Chain-Cloud
CEO-CxO Leader: Global Top F500: Accenture, E&Y, McKinsey, Microsoft, PwC, US-DoD
Goldman Sachs, JP Morgan, Wall Street Hedge Funds $Trillion AUM, Google, IBM, Intel
CEO-CIO-CTO-CISO, CEO Networks Leader : Global Risk Management Network LLC
- CEO, World's Largest Digital Transformation Network: Millions of Users: 130K Members
- Recommended by Harvard MBA, Bill Gates-Microsoft, US DoD-CIOs
CEO, USAF-AFRL Ventures: Joint Force ABMS-JADC2: Air-Space-Cyber-Crypto-EMS
- AIMLExchange™, C4I-Cyber™, VC-PE
Chief Data Scientist, Chief Scientist-AFWERX PI: USAF-Pentagon CTO Teams
- DoD AI-ML Enablement: USAF Secretary-JAIC CTO
CEO Road Shows: Asia, Australia: Ethereum Block Chain-Cloud Pioneer CxO Team
MD: $Billion AI-Machine Learning Center, Retained by GIBC Digital CEO
MDs-Quants Leader: JP Morgan Global Head of Analytics & US Head of Portfolio Management
CISO Role: New York State IT-Networks Administration
CIO Digital Transformation: UPMC-Pitt PhD PI: Structural Equation Models
CIO Strategy-Software Teams Leader: Big-3 IT-Banks: USA, Hong Kong, India
CISSP, CISA, CEH, CEng, CCP-CDP, CPA (Education); CompTIA Security+ Network Security Faculty, IBM Quantum Computing Excellence: Qiskit, Python, SAS, MATLAB, C++, SAP Institute-Supply Chain Management ERP/CRM Faculty, Kauffman Foundation-Entrepreneurship Faculty.

AI-Quantum R&D Impact among AI-Finance Nobel Laureates: Black-Scholes
Post-Doc MIT-Princeton SME: AI-Quant-Cyber-Crypto-Quantum-Risk Computing
- SSRN 84 Top-10 R&D Rankings: Top 1% Authors Algorithms-Controls-Models
Executive Education Faculty: Carnegie Mellon, Kellogg
Professor:
STEM Computer Science-Network Security-Advanced Analytics
IT-OR-Decision Sciences-Financial Optimization-MBA Faculty

• Executive Education:
- Kellogg School of Management: PRMIA Quantitative Finance
- University of California, Berkeley: Financial Engineering

Beta Gamma Sigma & Phi Kappa Phi National Honors: PhD & Masters:
Top 10 Quant-IT-Controls PhD: Quantum Uncertainty AI-ML-KM-HCI
- Full Scholarship & Doctoral Fellowship with Top-10 MIS Founder
5 Masters
Engineering: MS Computer Science, MS Network & Computer Security***
Quantitative: MS Quantitative Finance, MS Accountancy*+, MBA Econometrics*
+

*First Rank, +4.0/4.0 GPA, **SUNY Outstanding Student Award

 

BIOGRAPHICAL SUMMARY

Silicon Valley-Wall Street-Pentagon Digital Pioneer MIT-Princeton Industry Expert Dr. Yogesh Malhotra is the Founding Chairman & CEO of the New York, USA, based global venture capital and private equity firm Global Risk Management Network, LLC, the worldwide pioneer in AI-ML-DL-Quant-Cyber-Crypto-Quantum-Risk-Computing Practices. As CEO, CIO, CTO, and CISO of global Digital ventures with global clients-patrons such as Goldman Sachs, Google, IBM, Intel, Microsoft, and, Ogilvy, institutions such as Harvard and MIT, and, ACM, NSF, UN, U.S. and world governments, Dr. Yogesh Malhotra is an industry pioneer in Human-Centered and Meaning-Driven Artificial Intelligence and Quantum Uncertainty Time-Space Complexity practices. As Industry Expert and CEOs-CxOs Leader for MIT Computer Science & AI Lab, he recently led 200 Management & Leadership executives from firms such as Google, Microsoft, Tesla, and, Silicon Valley firms to develop, deploy, and, implement AI, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and, Robotic Process Automation (RPA) strategy road maps. As Industry Expert for the Princeton Quant Trading & Finance and Crypto-FinTech Conferences sponsored by firms such as Goldman Sachs and Citadel, his recent presentations advanced Cyber-Crypto resilience practices for AI-ML-DL-GANs (Generative Adversarial Networks) and Quantum Computing and Quantum Cryptography.

Over recent years, as founder of USAF-AFRL (Air Force Research Lab: Information Directorate) Commercialization Academy ventures AIMLExchange™ and C4I-Cyber™, at the request of Pentagon USAF C4I-ISR CTO and U.S. DoD CIO senior advisor, he has served on CEO-CxO teams as Chief Data Scientist and Chief Scientist (AFWERX PI and Advanced Science Leader) enabling DoD-wide AI-ML enablement for the Secretary of the United States Air Force (USAF) and Joint Artificial Intelligence Center (JAIC) CTO, and, a global inter-agency COVID rapid response network respectively. Saving 90% Time and Cost enabling global hi-tech CEO-CxO teams in building sustainable and resilient AI-ML-DL-Quant-Cyber-Crypto-Quantum Ventures, these ventures pioneered the global industry practices of Real Time Enterprise (RTE) Artificial Intelligence (AI) eAgility, Quantum Uncertainty and Time-Space Complexity for the United States Air Force (USAF) , United States Space Force (USSF), and, DoD Joint Chiefs of Staff leading US DoD Practices. As pioneer of ABMS2-JADAC2-JADCAC2, a Faster-Better-Cheaper Advanced Battle Management System (ABMS) with Joint All Domain Adversarial Command & Control (JADC2), the world's top retained Executive search firm, Korn Ferry, interviewed him for USAF Chief Scientist, Pentagon role, the top Science role for USAF-USSF as the advisor to the USAF Chief Secretary and the Chiefs of Staff of the USAF and the USSF.

Before that, he was retained as full-time global AI-Machine Learning Managing Director on the senior leadership team by the Cornell MBA/JD CEO from the world's largest hedge fund to head a $1 Billion Global AI-ML Center of Innovation Excellence. Over above time span, as member of the CEO-CxO team, he also represented the CEO of a global Block Chain Cloud Computing pioneer on investment road shows across Asia and Australia while leading and guiding the CEO, COO, and, CTO team on AI-ML-Cyber-Crypto Tech Architecture Global Platform Development and Global Competitive Strategy. Prior to that as Cybersecurity expert for State of New York, he led Zero Trust Architectures execution for the Top Digital Government Administration in CISO role. Before that in Chief Research Scientist, Project Manager, and, Team Leader roles he led Quant Risk Modeling for Wall Street Hedge Funds with $1 Trillion AUM while leading teams of Managing Directors, Portfolio Managers, and, Quants for the JP Morgan Global Head of Analytics Research and US Head of Portfolio Management.

His global CEO-CxO teams leaderships advance upon his prior leadership of global Digital Practices, Technologies, Teams, and, Ventures adopted-recommended by industry leaders such as Microsoft founder Bill Gates, Big-4 Consulting CxOs, and, U.S. Army, Navy, and, Air Force CIOs. Building upon 25-year leadership of CEO-CIO-CTO-CISO practices and teams, his recent Air Force Research Lab (AFRL) Commercialization Academy ventures advance AI-ML-DL and Cyber-Crypto, Quant, and, Quantum practices enabling global Digital CEO-CxO teams to build next generation resilient Digital enterprises while saving 90% time and cost. His Automation and Optimization focus built upon leadership of AI-ML-DL and Knowledge Management practices is complemented by his solid Cybersecurity, Cryptography, & Quantitative Risk Management focus.

As Silicon Valley-Wall Street-Pentagon-Worldwide Digital Pioneer building and leading worldwide CEO-CxO Digital Transformation and Knowledge Economy practices since the coming of WWW, his advice is sought by Big-4 Consulting Founding Partners and CxOs, US Department of Defense (DoD) CEOs-CxOs, US and World-Governments, the United Nations, and the National Science Foundation. Microsoft founder Bill Gates recommended his digital ventures in his best-selling book and on his homepage while PriceWaterhouseCoopers (PwC) Vice-Chairman and CKO highlighted his ventures as the go-to resource in Fast Company magazine interview. Big-4 Consulting firm Andersen Consulting, now Accenture, Corporate Consulting Founding Partners sought his guidance to advance beyond their global Best Practices to global Knowledge Management Corporate Consulting focus. Intel Corporation sought his expertise to advance to Next-Generation e-Business Architectures while McKinsey Consulting Silicon Valley partners flew him to meet with them to advise them on Enterprise Knowledge Management with Intranets. The CEO of Philips Corporation, Netherlands, flew to visit him to seek guidance on Knowledge Management driven Customer Relationship Management Strategies while CxOs from Big-4 Consulting such as Ernst & Young have been members of his global teams of hundreds of PhD-industry experts publishing R&D leading global Digital Transformation and Knowledge Economy practices.

The US Federal Government sought his guidance as Council Partner for Business Process Re-Engineering (BPR) Best Practices and Knowledge Management Leadership for all of US Federal Agencies while the National Science Foundation (NSF) sought his expertise for guiding NSF National HQ Leadership as well as Computer Science and Cybersecurity expert on 32 NSF national SBIR/STTR expert panels allocating multi-million dollar funds for leading US Cyber-Computing and Cybersecurity innovations. United Nations World HQ sought his guidance as Quantitative Economist for leading worldwide national Human Capital, Intellectual Capital, and Social Capital strategies while the Harvard MBA program used his Digital BPR venture as a launch-pad for their global Business Process Excellence curriculum. His invited industry CEO-CxO keynotes have spanned Silicon Valley to Seoul with global digital reviews and interviews about his Digital ventures featured across premiere Business Technology media worldwide with worldwide organizations adopting his practices. His invited Conference Board keynotes include guiding the US Quality Council CxOs and Malcolm Baldrige Award Winning Corporate CxOs while his Institute for Supply Management global membership publication interview developed the global vision of next-generation Digital e-Agile Supply Chains.

The Government of Mexico sought his guidance for building G-8 e-Government at their annual Parliament and Cabinet Ministers event attended by the 13 National CIOs and 600 top national IT executives. The Government of Netherlands had their Parliament’s Cabinet Minister leading Dutch Ministry of Education, Culture and Science visit with him to seek guidance on their National Digital Transformation. The Government of Switzerland sought his guidance for Swiss national Banking & Finance Digital FinTech Transformation enabled by Mathematics and Algorithms and led by ex-Goldman Sachs bankers. The South Korea national Vision Korea Campaign led by Maeil Business Newspaper and TV invited him for guidance on their national Digital and Knowledge Economy Transformation while guiding nationwide leaders from academia, industry, policy and practices. His 1990s keynote to Silicon Valley Venture Capitalists and CEOs on Building Global Digital Enterprises for the “Wild Wild Web” at the TiE Global Silicon Valley annual conference was an early harbinger of Adversarial Uncertainty and Complexity characterizing today’s Global Adversarial Digital Environments on which his latest practices guide the Pentagon CEOs-CxOs.

His latest AI-ML-DL-Quant-Cyber-Crypto-Quantum industry expert papers and presentations such as for the Journal of Financial Transformation and Journal of Operational Risk, and, Chartered Financial Analyst (CFA) Society, and, National Association of Insurance Commissioners (NAIC) and Data Science innovations such as Model Risk Arbitrage™ build upon prior leadership of Wall Street Investment Banks and Hedge Funds with $1 Trillion AUM such as JP Morgan in Financial Risk Management, and, State of New York in Cyber Security and Network Security Risk Management.

Before founding the Digital Ventures pioneering global Digital Transformation spanning Silicon Valley, Wall Street, Pentagon, and Worldwide organizations with the coming of the World Wide Web, he led CIO Strategy and CIO Software Engineering Teams across USA, Hong Kong, and India for Global Big-3 Banking & Finance and Global Big-3 Information Technology firms building Global Financial Systems used by worldwide global Banking & Finance institutions. Before leading the Bank of America merger Global Financial Systems Development Teams in Las Vegas, NV, he led Forex Currency Trading Treasury Management Teams for the French Bank, Crédit Agricole Corporate and Investment Bank, earlier Banque Indo-Suez, as Algorithms Strategist-Lead in (British) Hong Kong. Prior to that he led Big-3 IT Global Financial Systems Development Teams at the Unisys Corporation Global Financial Systems Development Center in Atlanta, GA.

Before that, he led Global Financial Systems Development for the Big-3 IT Unisys Corporation's India division and India's largest Software Development Company with India's largest industrial group, the Tata Group, in Mumbai (SEEPZ) and New Delhi (NEPZ). His Big-3 IT Strategy Top Management Leadership Keynote of that pre-WWW era titled 'Advancing Beyond Mainframes to Unix & C Software Services for Global IT Market Dominance' was over a decade ahead of Big-3 IT's transition from Hardware to Linux-based Software. He started his Software Engineering career while holding the day job of Japan-India Technology Transfer and New Technology Development Process Engineering and Production Engineering Executive Engineer for the Japanese global Car Maker Suzuki Motor Corporation with its India division and India's largest Automotive Manufacturing company leading India's Quality Revolution as the fuel-efficient car industry leader, Suzuki Maruti.

He started to program in Algorithmic Language (ALGOL) on Mainframes in the Night Shift while earning industry certifications in UNIX, C and FORTRAN and then leading the Enterprise Finance & Accounting Team as Executive EDP/MIS. Prior to that, he was a Process Engineering & Industrial Engineering Engineer Trainee with Big-3 Automotive Ford Motor Company at its India division building agricultural tractors while earning Bachelor of Engineering with Distinction from the Elite "DCE", Delhi College of Engineering. DCE is the mother institution of IIT Delhi, where he would be later invited to serve on the global editorial advisory board of the inter-disciplinary journal Global Journal of e-Business and Knowledge Management. Knowledge Management (KM) is the global IT-AI discipline that he pioneered as the world's Top-3 ranked scholar-practitioner in KM ranked within two years of completing PhD among others such as his academic mentor Tom Davenport in a Drexel University worldwide survey of the ISWorld.

He is a Chartered Engineer and Life Member of the Institution of Engineers (India) since 1989 and holds the Top-3 US DoD Directive 8140 (DoDD 8140) IT Security Management & Auditing Certifications: Certified Information Systems Security Professional, CISSP (Since 2005): DoDD 8140 - CNDSP Manager; Certified Information Systems Auditor, CISA (Since 2007): DoDD 8140 - CNDSP Auditor, and, Certified Ethical Hacker, CEH (Since 2014): DoDD 8140 - CNDSP Auditor. As Professor of Computer Science and Network Security, he has also developed Offensive and Defensive Cybersecurity program for the State of New York (SUNY) training Network Administrators in Penetration Testing and Ethical Hacking as Security+ Network Security Certification instructor, himself being earlier the Top-Ranked Ethical Hacker of the State of New York institutional competitions.

As the world-leading Social-Computational-Financial Engineer-Economist-Scientist with 84 Top-10 SSRN research rankings for latest Computer Science-Computer & Telecom Network Systems Security Engineering-Quantitative Finance & Trading post-doctoral R&D papers and presentations on AI-ML-DL-Cyber-Crypto-Quant-Quantum technologies, his prior impact of Sociotechnical Human-Centered AI and Quantum Uncertainty research is ranked and recognized among Nobel laureates in Information Technology & Knowledge Management, and Finance & Capital Markets such as Herbert Simon and Black-Scholes, and, recognized by various awards, honors, research and teaching innovation grants and graduate and doctoral research scholarships and fellowships including CNet Networks Corporate Computing Award for most influential research, Top-Ranking for the AI-Expert Systems Journal Paper that pioneered the Disciplinary R&D and Practices in Human-Centered and Meaning-Driven Artificial Intelligence and Quantum Computing, Academy of Management First Best Reviewer Award for Structural Equation Models of IT Innovation for Paper selected for the Best Paper Award, Academy of Management Technology & Innovation Management and Organizational Communications & Information Systems Divisions Doctoral Consortia fellowship, and, Association for Information Systems Doctoral Consortia fellowship. Having published scholarly research in top refereed research journals in IT, Computer Science, and Operations Research that is ranked for impact in both Business (AACSB) and Technology (ASIS&T) among Nobel Laureates, he has served on more than 50 U.S. and worldwide Editorial and Review Boards of world's top-ranked scientific research journals, conferences and proceedings such as published by ASIS&T, Academy of Management, ACM, IEEE, IBM, INFORMS, Harvard Business School Publishing, Cambridge University Press, Sage Publications, and Springer-Verlag.

Editorial reviews of his practices, technologies, teams, and, ventures as global industry benchmarks are featured worldwide by the world's premiere global business and technology media such as Business Week, Fortune, Fast Company, Inc., Wall Street Journal, New York Times, Computerworld, Information Week, CIO Magazine, etc.

His biographical profile has been selected for listing in the most prestigious global biographical references of world's top leaders and achievers for over 20 years by Marquis Who's Who® such as in Who's Who in America®, Who's Who in the World®, Who's Who in Finance & Industry®, and, Who's Who in Science & Engineering®.

 

 


"Venture capitalist Roger McNamee recently implored Silicon Valley to embrace human-driven social networks that empower rather than exploit users as the Next Big Thing. Having pioneered such networks, we were invited to guide Silicon Valley 20-years ago on building Digital enterprises for the Wild Wild Web*. Today, we are ready to again lead Silicon Valley to further advance human-driven technologies in collaboration with the US Air Force-Air Force Research Lab..."
- Dr. Yogesh Malhotra, Founder, AIMLExchange™.


About Us: AIMLExchange™: We Create the Digital Future™

Let's Together Build the Digital Future and Save the World in the Process™

A sample of our corporate and organizational clients, patrons, and users:

Global Corporations: Goldman Sachs, Google, HP, IBM, Intel, Microsoft, Wells Fargo
Consulting Firms: Accenture, Ernst & Young, McKinsey, PriceWaterhouseCoopers
Healthcare: WHO, US Health & Human Services, UK Dept. of Health, European HMA
World Governments: Australia, Brazil, Canada, China, European Union, UK, USA
U.S. Defense: AFRL, Air Force, Army, CCRP, Comptroller, DISA, DoD, NASA, Navy
World Defense: Australia (Air Force), Canada (Defence R&D), UK (Ministry of Defence)
Universities: Harvard, INSEAD, MIT, Princeton, Stanford, UC Berkeley, Wharton
Associations: AACSB, ABA, ACM, AICPA, AOM, APICS, ASTD, ISACA, IEEE, INFORMS

Worldwide top leadership programs such as the Harvard MBA, world leaders such as Microsoft founder Bill Gates, Big-4 CxOs, and, CIOs of the US Army, US Navy, and US Air Force, and, the U.S. Joint Chiefs of Staff of the Department of Defense including U.S. National Heads of C4 Systems and National Defense University have adopted, applied, and recommended our digital ventures transforming global digital practices.

Worldwide Business and IT Editorial Reviews & Interviews as global industrial benchmark such as in Wall Street Journal, New York Times, Fortune, Fast Company, Forbes, Business Week, CIO, CIO Insight, Computerworld, Information Week, etc.

 

 


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

 


Google  IBM  Intel  Microsoft  OgilvyOne
 Cisco  SAP  Verisign  European Commission  Government_of_UK


 


American Institute of Certified Public Accountants (AICPA) AACSB International ACM IEEE AACSB International American Bar Association


PIONEERING HI-TECH KNOWLEDGE ECONOMY DIGITAL TRANSFORMATIONS

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


APPLIED R&D VENTURES LEADING GLOBAL REAL-WORLD PRACTICES

Following (a) Digital Transformation of Big-3 Finance and Big-3 IT firms supplying Global Financial Systems for worldwide Banking & Finance industry, (b) launch of global Digital Transformation ventures leading worldwide Digital and Knowledge Management practices, (c) worldwide impact of Artificial Intelligence (AI), Knowledge Management (KM), and, Quantum Uncertainty (QU) research recognized for real world impact among Quant Finance-FinTech and IT-AI Nobel Laureates such as Black-Scholes and Herbert Simon, (d) Computational Quant Risk Analytics leadership of top Wall Street investment banks and hedge funds with $1 Trillion AUM such as JP Morgan, and, (e) Princeton Quant Trading & Finance and FinTech-Crypto Presentations on AI, Machine Learning, Deep Learning, Cyber, Crypto, and Quantum Risk Computing at Conferences sponsored by Princeton University, Goldman Sachs and Citadel, (f) MIT AI faculty SME and industry expert leadership of global Management & Leadership executives advancing on pioneering Meaning-Driven and Human-Centered AI and Quantum Computing R&D inspired by the Genetic Algorithms pioneer, Dr. John Holland, while he was at Santa Fe Institute in mid-1990s, Dr. Yogesh Malhotra's top-ranked AI-ML-DL-Quant-Cyber-Crypto-Quantum-Risk-Computing advanced post-doctoral R&D further advances beyond (g) NIST's Cybersecurity Risk Engineering, Risk Management, and, Risk Modeling practices of Zero Trust Architectures and Networks Segmentation given growing awareness of Risk Concentrations in the Global Electromagnetic Spectrum Networks and Global Networking and Encryption Protocols. [More]

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

AACSB

AACSB logo

Human-Centered AI and Quantum Uncertainty 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.




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

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...

Research & Practices:
Dr. Yogesh Malhotra: [AI, Algorithms & Machine Learning] [Computational Quantitative Analytics] [Cybersecurity Risk Engineering] [Digital Transformation] [Computational Quant Finance & Trading] [Quantum Computing & Quantum Cryptography] [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


IMPACT: APPLIED R&D VENTURES LEADING GLOBAL REAL-WORLD PRACTICES
line

Following (a) digital transformation of Big-3 Finance and IT firms supplying Global Financial Systems for worldwide Banking & Finance industry, (b) launch of digital transformation ventures leading worldwide practices, (c) worldwide impact of scholarly risk management research recognized among Finance and IT Nobel Laureates, (d) computational quant finance & risk analytics leadership of top Wall Street investment banks and hedge funds, and, (e) Princeton Quant Trading Presentations on algorithms and machine learning for next-generation probabilistic modeling and cyber risk management of financial markets, Dr. Yogesh Malhotra's anticipatory risk analytics and computational quant finance & risk management focus further advanced (f) cybersecurity risk engineering practices of zero trust architectures and networks segmentation given growing awareness of risk concentrations in the global electromagnetic spectrum networks and global networking and encryption protocols.

Spanning deterministic, stochastic, and non-deterministic computational statistical modeling methodologies, his current Computer Science, Computational Quantitative Finance, &, Cybersecurity-Finance applied practices focus is on high-dimensionality complex stochastic problems involving computational time complexity and computational space complexity relevant to emerging Model Risk Arbitrage (Offensive Cybersecurity) and Model Risk Management (Defensive Cybersecurity)
concerns of Wall Street Chief Risk Officers such as the following.

"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.

How applied R&D leads global real-world practices - an illustration in context of Top Investment Bank Retained Executive Search:

"[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, NYC, Top Wall Street Investment Bank; Interviewed: March 21, 2014.

GLOBAL AI & DECISION MODELING AND ALGORITHMS & MACHINE LEARNING LEADERSHIPS:
COMPUTATIONAL QUANT FINANCE, CYBERSECURITY & RISK MANAGEMENT-ANALYTICS
Goldman Sachs  JP Morgan Asset Management  Princeton University  Google  Intel  Microsoft 

Dr. Yogesh Malhotra’s recent AI & Decision Modeling and Algorithms & Machine Learning post-doctoral research on Uncertainty and Risk Management for Computational Quant Finance and Cybersecurity is the focus of invited research presentations at the 2016 Princeton Quantitative Trading Conference and the 2015 Princeton Quantitative Trading Conference sponsored by Princeton University, Goldman Sachs, Citadel, SIG, and, KCG Holdings. It is also ranked in SSRN Top-10 Research Rankings for 2015-2017 in statistical, econometric, computational, and stochastic modeling techniques by the SSRN research network founded and overseen by professors from institutions such as Harvard Business School. Just based on his AI & Decision Modeling and Algorithms & Machine Learning post-doctoral research alone, he is ranked in the Top-10% of Authors on SSRN.

He has served as invited plenary keynote speaker and invited expert among others for the:

Princeton Quant Trading Conferences (2018, 2016, 2015: AI & Machine Learning, Generative Adversarial Networks, Model Risk Management, Model Risk Arbitrage, Open Systems Finance, Black Hat Finance, Cyber Finance, & Cyber Risk Insurance Modeling) sponsored by Princeton University, Goldman Sachs & Citadel;

Government of Switzerland (2016: Switzerland Federal Department of Economic Affairs: Math-Fintech Industrial Research: Mathematics-FinTech-Algorithms: Digital Transformation of Global Banking & Finance);

National Association of Insurance Commissioners (NAIC) (2017: Cyber Insurance Modeling Innovation beyond VaR to Preempt and Prevent the Global Cyber Insurance Crisis);

State of New York (2015 & 2016: CyberFinance: Cybersecurity Risk Analytics & Emerging Cyber Financial Threats; Cybersecurity Standards & Practices: Networks, Systems, and, Controls Frameworks; Offensive and Defensive Cyber Risk Management and Penetration Testing - Ethical Hacking);

Silicon Valley Venture Capitalists & CxOs (Developing World-Leading WWW Digital Ventures for the "Wild Wild Web");

Conference Board National Quality Council of Malcolm Baldrige National Quality Award CxOs (Digital Transformation beyond 'Best Practices' and BPR for U.S. National Quality Leading Firms);

Institute for Supply Management (Digital Transformation beyond 'Best Practices' and BPR for Global and U.S. Supply Chain Management Leading Firms);

United Nations world headquarters Global Economists Expert Panel (Quant Knowledge Asset Measurement Models for worldwide National Digital and Knowledge Economies);

Ziff Davis Global Standard of Internet Commerce, National Leadership of U.S. Corporate CIOs & CTOs Executing the E-Commerce Standard as one of four Founding Editors & Founding Member among national Fortune 500 CxOs;

WWW Virtual Library, World Leadership of Knowledge Management research and practices as Founder, Editor, & Publisher of the WWW Virtual Library on Knowledge Management, part of the WWW Virtual Library, started by Tim Berners-Lee, the creator of HTML and the World Wide Web; and,

United States Federal Government (Digital Transformation and Best Practices for the largest U.S. Federal Government Agencies) and world governments, parliaments and cabinets such as

Government of Netherlands (Digital Transformation of the National Economy and the National Digital Work Force) and

Government of Mexico (Digital Transformation of the National Economy as a Global G-8 e-Government), and national economies such as

South Korea (Digital Transformation of the National Economy merging e-Business and Knowledge Management)

in addition to delivering dozens of other invited worldwide presentations in academia, policy, and, practice.

He has been called on to advise the US National Science Foundation (NSF), the United Nations (UN),  US & World governments, parliaments, and, cabinets and delivered national keynotes and nationally broadcast print and TV interviews among Knowledge Management pioneers such as Dr. Ikujiro Nonaka, University of California Berkeley Distinguished Professor, and Dr. Charles Lucier, Booz Allen Hamilton Partner & CKO. He has been interviewed among Virtual Organization pioneers such as Hatim A. Tayabji, CEO, Verifone, while he held a PhD research fellowship in mid-1990s.

His Digital Transformation, Computational Quantitative Finance, AI, Algorithms & Machine Learning, Cyber Security Risk Engineering, and, FinTech: 'Rethinking Finance' focus over the last two decades has been on advancing global Finance-IT-Risk Management industry practices to manage unprecedented and radical Change, Uncertainty, and, Complexity. In aftermath of the Global Financial Crisis, his applied research and practices have advanced top Wall Street investment banking leadership risk management strategies to reflect post-VaR Computational Quantitative Finance for 'Anticipation of Risk' and Model Risk Management. For instance, his research is advancing execution of SR11-7 and OCC 2011-12 Model Risk Management Guidance of OCC and US Federal Reserve System such as 'anticipation of risks' by 'effective challenge of models'.

His recent Wall Street Investment Banks and Hedge Funds global Banking & Finance industry leadership experience is in leading Computational Quantitative Finance and Computational Quantitative Finance & Risk Analytics projects for top Wall Street investment banks with $1 trillion AUM such as JP Morgan Private Bank in midtown Manhattan. Prior to that he founded award-winning influential Digital Transformation ventures with clients and patrons such as top Wall Street and IT firms such as Goldman Sachs, Google, IBM, Intel, Microsoft, and, Ogilvy; top consulting firms such as Accenture, E&Y, McKinsey, and, PwC; and top business schools such as Harvard, MIT, Princeton, Stanford, and, Wharton.

Globally recognized among the pioneers of Digital Transformation and Knowledge Management, he developed and led world's most prominent online portals of practice and largest global communities of practice on Digital Transformation and Knowledge Management before the turn of the century. Having been ranked and recognized among Finance-IT Nobel Laureates such as Black-Scholes and Herbert Simon for real world impact of his research, his post-Snowden era applied research and practices have focused on advancement of FinTech AI-Modeling, Algorithms, & Machine Learning for Crypto-Currencies such as BitCoin and Blockchain Protocol as well as Cryptanalytics leading industry practices of Digital Encryption. His Digital Ventures such as Griffiss Cyberspace have heralded the advent of Cyber Finance and invited research presentations on Future of Finance at Princeton University have pioneered FinTech: 'Rethinking Finance' innovations such as 'Open Systems Finance' and 'Model Risk Arbitrage.'

Advancing on Cybersecurity Risk Engineering & Risk Analytics Practices Guiding US & G5 DoD Commanders & CIOs-CTOs, his recent IT Administration & Networks Administration Cybersecurity-Risk Management leadership advanced industry practices such as Defense-in-Depth Networks, Zero-Trust Cybersecurity Architectures & Networks Segmentation. His industry leadership advanced upon his applied experience as a Computer Scientist leading development of one of the first applied programs merging Defensive Cybersecurity and Offensive Cybersecurity as STEM Computer Science professor of Network Administrators for the State of New York.

As leader of Global Digital Assets, Markets & Exchanges Practices, just after concluding PhD, he was invited for collaboration with the Big-4 firm, Accenture (then Arthur Andersen), Consulting Sr Managing Partners & Practices Founders as a "pioneer" of contemporary Knowledge Management and Business Technology Management Innovation practices to help them advance beyond their industry-leading "Best Practices" enterprise theme. As founder of worldwide Digital Transformation global community of practice with millions of worldwide users, he pioneered and advanced global e-Services and Knowledge Management Digital Transformation practices. As founder and organizer of a global consortium of world's Top 200 Experts-PhDs that included Big-4 CxOs from firms such as Ernst & Young and distinguished professors from institutions such as Kellogg School of Management and INSEAD (France), he published world-leading research guiding Global Enterprise Risk, Operational Risk & Systemic Risk Management Practices.

As a PhD research fellow, he pioneered some of the early globally influential Digital Transformation ventures including world's Top-ranked Digital Research Web site (ranked by Computerworld), Top-3 Search Engine (ranked in Carnegie Mellon Industry.Net National Awards), and Top-10 Social Network (ranked among others such as LinkedIn in global industry surveys). His Digital ventures are recommended and applied by top IT Executives such as Microsoft Founder, Chairman and CEO Bill Gates; top Business Executives such as PwC Vice Chairman and CKO Ellen Knapp; global Banking and Finance institutions; CIOs of NASA / US Army / US Navy / US Air Force / US Air Force Research Lab; and senior leaders at world governments and parliaments such as the European Union and the Australian Parliament.

Before joining University academia as a professor of IT and Operations Research after a PhD field study focused on Digital Transformation of the UPMC (University of Pittsburgh Medical Center), the global Healthcare industry leader, he led the development of Global Financial Systems deployed by worldwide Banking & Finance firms as a global Banking & Finance industry leader for Big-3 Banking & Finance and Big-3 IT firms such as Bank of America across USA, Hong Kong, Mumbai, and, New Delhi.

The real world impact of his scholarly research on worldwide practices is recognized among others such as Finance Nobel laureates Black-Scholes by the AACSB International Impact of Research Report. AACSB research impact recognition coincided with his promotion to Associate Professor at Syracuse University having joined its Martin J. Whitman School of Management as the tenure-track Assistant Professor of Quantitative Methods. His earlier scholarly research is ranked and recognized among Top-50 Business & Economics researchers as well as Information Science and Finance/Economics Nobel laureates in business press, industry surveys & scientific impact studies.

As a professional Management Scientist and Information Scientist, he served as professor of Quantitative Methods and MIS in IT and Operations Research academia and as invited Executive Education faculty for Carnegie Mellon University Graduate School of Industrial Administration and Kellogg School of Management. While an IT and Operations Research MBA Faculty member with the Syracuse University School of Management, he served by invitation on national and global expert panels of the National Science Foundation, and, the United Nations and received the invitation for the Fulbright Canada Visiting Research Chair from the Queen's University. On the occasion of the invitation for the Fulbright-Queen University's Visiting Research Chair in the Management of Knowledge-Based Enterprises, Syracuse University Chancellor and President Nancy Cantor had written the following note of commendation to him:

"Receiving an invitation to compete for this prestigious position is very impressive and reflects the high quality of your scholarly work. I also very much enjoyed reading about your many engagements in the larger global community. You have certainly embraced the spirit of serving the public good and illustrate how a university, as a source and generator of knowledge, can impact other countries and institutions. I congratulate you on your hard work as both a scholar and as a citizen of the world."

While a professor of Quantitative Methods merging IT and Operations Research Decision Modeling at the Syracuse University, as a professional Management Scientist, he led the United Nations global expert panel of economists as the invited Quant expert on National Knowledge Assets Measurement and related Balanced Scorecard Framework. He also served as invited expert on 32 national expert panels of Computer Scientists, Venture Capitalists, and IT Analysts for the US National Science Foundation for allocation of multi-million dollar US federal funds for Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR).

Prior to that, as a professional Information Scientist leading development of one of the first AACSB-accredited Digital Transformation MBA programs merging e-Business and Knowledge Management, he guided the strategic development of Next Generation e-Business Architectures for $100 billion hi-tech firms such as Intel Corporation and global strategic vision for worldwide clients of firms such as British Telecom (UK). Prior to that, he served as one of four founding members and contributing editors for Ziff Davis and led Fortune 500 CIOs and CTOs in global standards development for the Ziff Davis Global Information Infrastructure (GII) Global Standard for Internet Commerce.

While AACSB International Impact of Research Task Force reports "considerable impact on actual practice" of his research among Finance & Economics Nobel laureates such as Black-Scholes, Harry Markowitz, and, Bill Sharpe, premier scientific impact studies in top-tier research journals have ranked and recognized the impact of his research among top Economists, Information Scientists, and, Strategists such as Joseph Schumpeter, Paul Romer, Nobel laureate Herbert Simon, and, Michael Porter. In addition to being included among both Ikujiro Nonaka and Herbert Simon in the top-ranked research impact by the citation impact analysis studies published by the American Society for Information Science & Technology (ASIST), and, the University of Minnesota MIS Research Center, he was among them to be invited as seminal contributors to advancing Knowledge Management by the American Society for Quality, the administrator of Malcolm Baldrige National Quality Program Awards, for their flagship peer-reviewed research journal.

His earlier scholarly academic research on Computational Quantitative Analytics and Quantitative Models has been applied in scientific research pursuits by NASA and Big Banks and his broader research agenda has guided worldwide e-Services and Knowledge Management Digital Transformation. Six years before AACSB highlighted the impact of his research among Finance Nobel laureates in 2008, CNet had conferred Corporate Computing Award on his research on understanding 'Why Knowledge Management Systems Fail?' recognizing it as the most influential research.

His applied research Digital Ventures have won top awards, top rankings, and, editorial reviews as global CEOs, CFOs, CIOs, CROs best practices benchmarks in most known US and worldwide top-tier Information Technology and Information Systems business press journals. His Digital & Analytics ventures are recognized as global benchmarks of practice in worldwide business technology press including Wall Street Journal, New York Times, Los Angeles Times, Fortune, Forbes, Inc., Business Week, San Jose Mercury News, Computerworld, Information Week, CIO Magazine, CIO Insight, and, Chief Executive, etc. and applied by prestigious institutions such as Harvard Business School and MIT.

His research for advancing thought leadership and insights of world's foremost leaders and top executives has been adopted and applied as a standard reference in top universities and business schools of the world such as Harvard Business School MBA Program, Stanford Graduate School of Business and Wharton School, and, included as reference in libraries of institutions such as Harvard, MIT and Princeton. His biography has been selected by invitation 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®, and Marquis Who's Who in Science & Engineering®.

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HONORS & AWARDS
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*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

2015-2020: 74 Top-10 SSRN Research Rankings: Top 1% 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.

  • 2015-2020: 74 SSRN Top-10 Research Rankings: Top 1% SSRN Authors:
    AI, Machine Learning, Deep Learning; Cybersecurity & Cryptography; Computational Quant Finance & Trading; Quantum Computing & Quantum Cryptography.

    • 2015-2020: 74 SSRN Top-10 Research Rankings: Top 1% SSRN Authors:
    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,
    • Cognitive Science,
    • 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,
    • Hedging & Derivatives,
    • High Performance Computing • Information Systems & Economics,
    • Information Systems: Behavioral & Social Methods,
    • Information Technology & Systems,
    • Information Theory & Research,
    • Innovation & Management Science,
    • Innovation Finance & Accounting,
    • Innovation Law & Policy,
    • Inter-State Conflict,
    • Interorganizational Networks & Organizational Behavior,
    • IO: Productivity, Innovation & Technology,
    • IO: Regulation, Antitrust & Privatization,
    • 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,
    • Quantum Information Science • 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,
    • Supercomputer Performance,
    • Sustainable Technology,
    • Systemic Risk,
    • Telecommunications & Network Models,
    • Uncertainty & Risk Modeling,
    • VaR Value-at-Risk.

  • 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.

 

AI-ML-DL-Quant-Cyber-Crypto-Quantum Computing R&D Leading Global IT Practices
Strategy to Execution: Banking & Finance, Engineering, Healthcare, Defense & Space
Optimal Execution for Performance, Risk Management, Resiliency & Sustainability
AI-ML-DL-GANs, Cryptography, Network Security, Blockchain, Cloud Computing.

MIT-Princeton Industry Expert: AFRL-USAF-Pentagon Ventures: Silicon Valley-Wall Street, US & World Governments CEO-CIO-CTO-CFO Global Practices Leader: UN: NSF: Global Open Innovation VC-PE Network: New York-USA-Worldwide

2015-2021: 84 SSRN Top-10 Research Rankings: Top-1% SSRN Authors:
Algorithms, Models, AI, Machine Learning, Deep Learning, Network Security,
AI-ML-DL, Quant, Cyber, Crypto, Quantum Computing & Cryptography
:
Computer Science, Telecom, Banking & Finance, Healthcare, Defense & Space

Recent Hi-Tech R&D Ventures, Industry Presentations and Expert Papers

*US Air Force: AFRL: C4I-Cyber™: Beyond AI & Quantum Supremacy: Command & Control Supremacy™
*US Air Force: AFRL: AIMLExchange™: Do Something Epic: Save the World™
*MIT Computer Science & AI Lab AI-Machine Learning Executive Guide: AI, ML, DL, NLP, RPA & Cognitive Automation.
*Princeton University Quant Trading & FinTech Crypto Conferences Presentations: Sponsors: Goldman Sachs, Citadel .

*2021 World-Leading R&D Leading Worldwide Digital Practices: AI-ML-DL-Cyber-Crypto-Quantum-Risk-Computing
*2021 Joint Chiefs Of Staff: Beyond ABMS JADC2 to Quantum Uncertainty and Time-Space Complexity
*2020 Joint Chiefs Of Staff: AI-Quantum Autonomy-Control in Space: Quantum PhD-Engineers Expert Panel Keynote
*2021 Silicon Valley-Wall Street-Pentagon Worldwide Digital Pioneer: Growing Digital Startups to Trillion Dollar Enterprises
*2020 Making Quantum Computing Real for JADC2 With Qiskit: Quantum Communication & Networking
*2020 Beyond Data Protection to Command and Control (C2) Sustainability: Execution of U.S. Data Protection Act
*2019 Innovation Community (UK) Podcast: Dr. Yogesh Malhotra: Future of AI-ML - Data Science, BlockChain
*2019 Journal of Financial Transformation: Alternative Capital Markets: AI-ML Augmentation & Cyber Risk Management.
*2019 New York State Cyber Security Conference: AI-ML-GANs-DeepFakes: Preempting Cyber Risk of Deep Fakes.
*2016 New York State Cyber Security Conference: Advancing Beyond Predictive to Anticipatory Risk Analytics.
*2018 CFA Society Keynote: JP Morgan & Goldman Sachs Practices Case Studies: Model Risk Management with Auto-ML.
*2018 AFCEA C4I Cyber Conference: Cybersecurity Risk & Uncertainty Management: AI-ML Risk Management Controls.
*2018 MIT Sloan-Computer Sc. & AI Lab AI-Machine Learning Executive Guide including RPA & Cognitive Automation
*2018 Princeton FinTech & Quant Conference: Invited Research Presentation: AI-Machine Learning-Deep Learning MRM.
*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.
*2018 Journal of Operational Risk, March: Toward 'Cyber-Finance’ Cyber Risk Management Frameworks of Practice.
*2017 National Association of Insurance Commissioners Expert Paper, 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.
*
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.
*2015-2021 82 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

US Air Force HQ AI-Machine Learning Commercial Exchange: Pioneering AGI To Save the World
AFRL Commercialization Academy: Building the Future of AGI: Griffiss Cyberspace & Drone™.
MIT Computer Science & AI Lab AI-Machine Learning Executive Guide: AI, ML, DL, NLP, RPA.
Princeton: Future of Finance: 'Rethinking Finance' for Era of Global Networked Digital Finance.

2019 Journal of Financial Transformation: Alternative Capital Markets: AI-ML Augmentation & Cyber Risk Management.
2019 New York State Cyber Security Conference: AI-ML-GANs-DeepFakes: Preempting Cyber Risk of Deep Fakes.
2018 CFA Society Keynote: JP Morgan & Goldman Sachs Practices Case Studies: Model Risk Management with Auto-ML.
2018 AFCEA C4I Cyber Conference: Cybersecurity Risk & Uncertainty Management: AI-ML Risk Management Controls.
2018 MIT Sloan-Computer Sc. & AI Lab AI-Machine Learning Executive Guide including RPA & Cognitive Automation
2018 Princeton FinTech & Quant Conference: Invited Research Presentation: AI-Machine Learning-Deep Learning MRM.
2018 Journal of Operational Risk, March: Toward 'Cyber-Finance’ Cyber Risk Management Frameworks of Practice.
2017 National Association of Insurance Commissioners: Expert Paper: Cyber Risk Insurance Modeling
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.
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
82 SSRN Top-10 Rankings: AI-Machine Learning; Cybersecurity; Computer Science, Quant Trading
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