Global Risk Management Network, LLC, Griffiss Business & Technology Park, Rome, New York 13441.
Global Risk Management Network, LLC is a Member of Rome Reps, Rome, NY,
725 Daedalian Dr, Rome, NY 13441.
World-Leading Hi-Tech R&D Leading Global AI-Machine Learning-Advanced Analytics and Cyber Risk Practices
MIT-Princeton Industry Expert: AI -Machine Learning-Advanced Analytics: R&D Impact among Nobel laureates:
Post-Doctoral R&D: Artificial Intelligence & Machine Learning, Top-10 Quant PhD: Dual Credits: IT & Statistics,
5 Applied Math Masters
Degrees: Quant Finance, Computer Sc., Network Security, Econometrics, Accountancy:
DoDD 8140 Top-3 IT Cyber Security Certifications: CISSP, CISA, CEH: New York State Security+ Instructor.

Marquis 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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Artificial Intelligence-Machine Learning Managing Director, MIT-CSAIL AI-Machine Learning Industry Expert,
Princeton Quant Finance & Trading Presentations, JP Morgan Hedge Funds Quant, New York State CIO-CISO.

DoDD 8140 Top-3 IT Security Certs: CISSP, CISA, CEH| Security+ Instructor| Chartered Engineer| CPA Education
AI-Machine Learning MD|MIT AI-ML Expert|Princeton FinTech-Crypto Expert|JP Morgan Quant|NYS CISO
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.
Pioneer: Worldwide Digital Practices: Clients-Patrons: Goldman Sachs, Google, IBM, Intel, Ogilvy,...
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™

AI-Machine Learning; Quantitative Finance-Trading; Cybersecurity-Risk Engineering;
Crypto-Blockchain; Cloud Computing; Cognitive Computing; Quantum Computing


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

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

MIT
: Industry Expert: AI & Machine Learning: Deep Learning, Auto-ML, Natural Language Processing (NLP), Robots (RPA).
Princeton: Princeton Quant Finance & Trading Presentations: AI & Machine Learning: Sponsors: Goldman Sachs, Citadel, etc.
CFA Society: Invited Keynote: JP Morgan & Goldman Sachs Practices Case Studies: Model Risk Management with Auto-ML.
Capco Institute: Journal of Financial Transformation: AI & Machine Learning Augmentation for Cyber Risk Management.
RISK.Net: Journal of Operational Risk: Bridging Networks, Systems & Controls Frameworks for Cybersecurity Standards.
NAIC: National Association of Insurance Commissioners: Pre-empting the Forthcoming Global Cyber Risk Insurance Crisis.
ACM: Association for Computing Machinery: Global Editors-Computer Scientists: FinTech Industry Expert: ACM Transactions.
AFCEA C4I & Cyber Conference
: Cybersecurity Risk & Uncertainty Management: AI-ML and Risk Management Controls.
AFRL Commercialization Academy: Griffiss Cyberspace & Drone™ Network Venture Building Artificial General Intelligence.
SSRNAI-Machine Learning & Risk-Uncertainty Management:SSRN: 63 Top-10 Research RankingsTop 2% Authors.
Editor-Referee: ACM, IEEE, Society of Actuaries, Society of Modeling & Simulation, 40+ Top-Tier Journals & Conferences.

 

PROFILE

Dr. Yogesh Malhotra (‘Yogi’) is the Executive Director and Chief Scientist of New York based Global Risk Management Network, LLC, leading global Artificial Intelligence & Machine Learning, Cybersecurity & Cryptography, and, Quantitative Finance & Trading practices.

As Managing Director for worldwide AI & Machine Learning practices with GIBC Digital, he recently developed the blueprint for Digital Transformation of global national economies and enterprises to expedite adoption and execution of AI & Machine Learning and Cybersecurity practices.

As Artificial Intelligence and Machine Learning Industry Expert for MIT Sloan School of Management and MIT Computer Science & AI Lab, he recently led 200 Management and Leadership industry executives pioneering AI and Machine Learning strategic road maps for worldwide firms and industries.

As New York State Cyber Security-CISO Leader, he led Computer & Network Security Global Industry Standards & Practices such as Zero-Trust Cybersecurity Architectures & Networks Segmentation advancing on Global Cyber Security practices leadership building on Post-Doctoral Network Security industrial research overseen by AFRL, NYS-CRI, and, SUNY Cyber Security experts.

As Quantitative Risk Modeling Expert, Project Leader, and, Team Leader for the JP Morgan Global Head of Quant Research & Analytics and U.S. Head of Portfolio Management featured in a Harvard case study, he led and advised his team of Managing Directors and Portfolio Managers with $500-$600 Billion AUM, and, team of Quants on Portfolio Liquidity Risk Modeling and Portfolio Optimization, VaR & Stress Testing.

Over recent four years, his AI & Machine Learning presentations in Cyber Finance at Princeton University conferences sponsored by firms such as Goldman Sachs and Citadel are pioneering applied innovations spanning Cybersecurity & Cryptography, and, Quantitative Finance & Trading.

His other industry practices leaderships include Goldman Sachs Alumnus Hedge Fund with $400-$500 Billion AUM, Big-3 IT and Big-3 Banking and Finance firms such as Bank of America, and, world's largest Digital Transformation community-of-practice ventures with global clients and patrons such as Goldman Sachs, Google, IBM, Intel, Microsoft, Harvard, and, MIT.

Globally sought as an industry expert and keynote speaker, his hi-tech ventures and thought leadership have spanned Silicon Valley to Seoul including Silicon Valley venture capitalists and CEOs, Wall Street investment banks and hedge funds, Big-4 Consulting founding partners, ACM, AFCEA, AFRL Commercialization Academy, CFA Society, NAIC, State of New York, Conference Board, Institute of Supply Management, National Science Foundation, United Nations, and, US and world governments and national economies such as Mexico, Netherlands, South Korea, and, Switzerland.

Real impact of his published research is ranked and recognized among Finance-IT Nobel laureates such as Black-Scholes by AACSB, premier scientific studies, and industry surveys. He has taught as invited Executive Education faculty for Carnegie Mellon University and Kellogg School of Management, and, served as tenure-track professor of Computer Science, Operations Research, Quantitative Methods, and, Information Technology.

His Artificial Intelligence & Machine Learning post-doctoral industrial R&D in Quantitative Finance, Cybersecurity, and, Computer Science with 63 Top-10 SSRN Research Rankings and Top-2% SSRN Author rankings is advancing global strategies, practices, and, policies.

A Chartered Engineer (C.Eng.) and Life Member of the Institution of Engineers, he also holds DoDD 8140 Top-3 IT Cyber Security Certifications, namely, CISSP, CISA, CEH, in addition to CCP-CDP and has fulfilled the AICPA educational requirements of  the New York State CPA.

His Digital ventures are ranked and recognized as global industry benchmarks in global media such as the Wall Street Journal, New York Times, Fortune, Inc., Fast Company, Business Week, CIO Magazine, CIO Insight, Computerworld, Information Week, etc.

His global and national press and TV interviews have been covered by global business technology media such as Fortune, Inc., Wall Street Journal, Information Week, CIO Magazine, CIO Insight, and, Maeil Business (South Korea).

His biography is profiled among world's foremost leaders and achievers 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®.


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.

GlobalImpact

 

DR. YOGESH MALHOTRA: Biographical Profile:

INDUSTRY & STRATEGY LEADERSHIP

• Artificial Intelligence & Machine Learning post-doctoral industrial-applied R&D in Computer Science, Network & Computer Security, Quantitative Finance and Trading, and, Cyber Risk Insurance pioneering global and national AI & Machine Learning, Quantum-Crypto-Cybersecurity, Quantitative Finance and Trading, and, Cyber Risk Insurance Practices.

• Artificial Intelligence & Machine Learning and Knowledge Management R&D ranked and recognized among Finance and IT Nobel laureates. Industry leading AI-Machine Learning Post-Doctoral R&D (2015-2018): 63 Top-10 SSRN Rankings and Top-2 % SSRN Author Rank: 100+ industry-leading Refereed Publications and Presentations leading industry practices.

• MIT AI-Machine Learning industry expert leading, guiding, and, evaluating 200 CEOs-Industry Leaders in AI-Machine Learning Strategic Road Maps development for worldwide enterprises spanning Fortune-100 to Silicon Valley startups.

• Princeton Quant Trading presentations (2015-2018) pioneering AI & Machine Learning, Quantum-Crypto-Cyber Security, Quant Finance & Trading, and, Cyber Risk Insurance Practices at conferences sponsored by Goldman Sachs, Citadel, etc.

• Founder & CEO, Global Risk Management Network, LLC, clients-patrons such as Google, Goldman Sachs, Microsoft, IBM, Intel, Ogilvy, Harvard, and, MIT building Digital Transformation practices including world’s Top Digital Site (Computerworld), Top-3 Search Engine (Carnegie Mellon Industry.Net Awards), and, Top-10 Social Network (among others such as LinkedIn).

• Managing Director, AI & Machine Learning, GIBC Digital: Worldwide AI & Machine Learning practices head leading worldwide AI & Machine Learning, Cyber Security, National Information Infrastructure development for nations of Bahamas and Nigeria.

• CEO-CxO Advisor, AI & Machine Learning, Iagon global Blockchain Cloud Computing Venture: AI & Machine Learning and Cybersecurity architectures and Go To Market strategy while leading CEO road shows in Asia and Australia for major funds.

• Chief Information Security Officer (CISO) role leading IT Administration & Networks Administration practices including Zero-Trust Architectures and Network Segmentation for the State of New York Civil Services while serving as CIO-CISO expert thought leader for the State of New York Cybersecurity conference sponsored by the State of New York Governor.

• Advisor to JP Morgan Global Head of Quant Research & Analytics and JP Morgan US Head of Portfolio Construction, & Team of Managing Directors & Portfolio Managers on Liquidity Risk Modeling Frameworks and Portfolio VaR and Post-VaR Stress Testing Models while Team Leader and Project Leader for the Quant Team developing related prototypes.

• Big 3-Banking and Big-3 IT Global Financial Systems Development Projects and Teams leaderships across USA, Hong Kong, and, India developing Global Financial Systems deployed across worldwide Banking & Finance firms and institutions.

• Global IT consulting practices for firms such as British Telecom (UK), and, Philips (Netherlands). Founder of largest Digital Transformation community of practice followed and recommended by 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.

• National Science Foundation (NSF) invited advisor to NSF leadership while serving on 32 NSF national expert panels leading commercialization of US IT and Cybersecurity innovations awarding multi-million dollar SBIR/STTR grants.

• Global and National invited thought leader with global and national media interviews, plenary keynotes, and, invited presentations for the Silicon Valley CEOs, angel investors, and, venture capitalists; United Nations world HQ; US and world government cabinet ministers, CIOs, and, IT Executives; top Wall Street investment banks, and, Fortune 500 CEOs and CxOs.

• CxO-CIO leadership interviews and editorial reviews as industry benchmark in global media: Wall Street Journal, New York Times, Fortune, Inc., Fast Company, Business Week, CIO Magazine, CIO Insight, Computerworld, Information Week, etc.

ACADEMIA & POLICY LEADERSHIP

• Invited Executive Education faculty for Carnegie Mellon University and Kellogg School of Management in e-Business, and, Knowledge Management. Delivered invited keynotes and research lectures at worldwide institutions of higher learning such as INSEAD (France), and, Queen’s University (Canada).

• Served as invited advisor on Math FinTech Algorithms to the Government of Switzerland for national Banking industry transformation enabled by ex-Goldman Sachs bankers while serving as STEM Computer Science professor at SUNY pioneering State of New York applied-industrial Offensive and Defensive Computer & Network Security programs for Network Administrators while also delivering Advanced Analytics and Object Oriented WWW Programming courses.

AACSB recognition of real impact of research among Finance Nobel laureates such as Black-Scholes while serving as first professor of Quantitative Methods on the Information Technology and Operations Research MBA faculties and Management Information and Decision Sciences faculties at the Syracuse University Marin J. Whitman School of Management. Promoted to Associate Professor in Accounting while also delivering Advanced Business Analytics, Decision Support Systems (Decision Modeling), Management Information Systems, e-Business, and, Knowledge Management courses.

• Served as invited advisor to the National Science Foundation national leadership and served on 32 national expert panels of Computer Scientists, Venture Capitalists, and, IT Analysts for the National Science Foundation for allocating multi-million dollar SBIR/STTR grants to advance commercialization of U.S. innovations in Web Computing and Web Security.

• Served as invited Quantitative Economist expert advisor to the United Nations world headquarters for writing the expert paper on Quantitative Measurement of National Knowledge Assets for worldwide UN member nations. Served on global expert panels of distinguished Economists at the United Nations world headquarters to advance the Knowledge Societies development for worldwide UN member nations.

• On receiving invitation for the Fulbright-Queen University’s Visiting Research Chair in the Management of Knowledge-Based Enterprises while serving on the faculty of the Syracuse University, received the following congratulatory letter from Dr. Nancy Cantor, President and Vice Chancellor, Syracuse University.

"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 a scholar and as a citizen of the world."

-- Dr. Nancy Cantor, President and Vice Chancellor, Syracuse University.

• Ranked among the Top-3 Knowledge Management scholars and practitioners in the worldwide survey of Information Systems scholars and practitioners by the ISWorld conducted by Drexel University while serving as Management Information Systems and Business Analytics professor at the State University System of Florida Fort Lauderdale and Boca Raton Campuses of Florida Atlantic University pioneering the first AACSB-accredited Executive MBA and MBA programs on e-Business and Knowledge Management.

• Published scholarly research ranked for real impact among Finance and IT Nobel Laureates in tenure-track research faculty roles over a span of 12 years, and, coached and mentored: 500 teams of over 2,000 students including Executives, MBAs, Project Managers, Computer Scientists, and, Engineers placed across worldwide organizations including Silicon Valley firms and Wall Street investment banks.

• Top-10 PhD in IT-Statistics-Risk Management Controls; 5 Masters: 2 in Computer Engineering & 3 in Finance: MS Computer Science, MS Network & Computer Security Outstanding Student Award, MS Quantitative Finance (Applied Math), MS Accountancy 4.0/4.0: Perfect GPA Award, MBA Economics 4.0/4.0, BE with Distinction - Chartered Engineer.

 

• Department of Defense Directive 8140 Top Industrial Certifications in Telecom-Networks-Security: CISSP, CISA, CEH.

• Chartered Engineer (C.Eng.) & Life Member, The Institution of Engineers, India.

• Citizen of the United States of America. Resident of New York.

• Impact of R&D and Practices: Worldwide.

• Marquis Who's Who® (Since 1999):
Who's Who in America®
Who's Who in the World®
Who's Who in Finance & Industry®
Who's Who in Science & Engineering®.


Worldwide Impact as Global Industry Benchmark
• Digital Ventures Leading Worldwide Digital Disruption and Digital Transformation

• Global Honors for Leading AI-Machine Learning-Finance-Risk Management Practices
• Global R&D Rankings: Applied & Scholarly R&D Leading Global Real-World Practices 

• World-Leading R&D: Download Full-Text Research Papers, Presentations, Interviews

• 2018 Princeton Quant FinTech Presentation:  MRM beyond Deep Learning and GANs
• 
2018 MIT AI-Machine Learning Executive Guide including NLP, RPA, & Self-Driving Cars
• 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

GlobalImpact

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

• 25+ 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.
Kellogg School of Management: Professional Risk Managers' International Association (PRMIA):
CCRM - Complete Course in Risk Management
University of California Berkeley: Masters in Financial Engineering: Executive Education Courses

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

• 25+ 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

• 25+ 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 2015-2018 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).

Computer & Network Security and Cyber Risk Practices Leader, CISSP, CISA, CEH
US & New York State Cybersecurity Practices Leader: CISO Role, State of New York

National Science Foundation: 32 National Expert Panels: Cybersecurity & Cyber-Computing Specialists
National Expert Panels for U.S. innovations in Cybersecurity and Cybercomputing: multi-million dollar SBIR/STTR grants.
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.
• 25+ year PhD & Post-PhD Leadership in development and advancement of Cybersecurity, Computer & Network Security, Cyber Risk Management Practices and Global Industry Standards & Practices. Leading Cybersecurity architectures development for AI & Machine Learning enabled global Block Chain Cloud Computing ventures; and, leading US national global Cyber-Defense capabilities development initiated as Managing Director at GIBC Digital. In State of New York CISO Role, led implementation of New York State Cybersecurity practices such as Defense-in-Depth, Network Segmentation, and, Zero Trust Architectures. Advancing upon leadership of CEOs, CIOs, and, CTOs as co-founding editor of Ziff Davis Global Information Infrastructure E-Commerce Standards, advanced commercialization of U.S. national innovations in Cybersecurity as National Expert on 32 expert panels of the U.S. National Science Foundation. Pioneered Computational Quantitative and AI & Machine Learning driven Cybersecurity and Network Security practices in collaboration with a committee of top experts from Air Force Research Lab, New York State Cyber Research Institute, and, SUNY. Resulting standards and practices advancing Cybersecurity Risk Management and Controls practices such as AI & Machine Learning Model Risk Management for the Armed Forces Communications and Electronics Association (AFCEA), global Cybersecurity Risk Insurance standards for the National Association of Insurance Commissioners (NAIC), Cybersecurity Risk Management of Financial Services for the State of New York, and, Penetration Testing and Ethical Hacking for the Risk Management professions.
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, Fire Eye, 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, Microsoft, Cisco, Fire Eye, etc.
Penetration Testing-Ethical Hacking Frameworks & Tools: Metasploit, Nmap, Wireshark, Several Others.
Defense-in-Depth Enterprise Networks and Computer Security & Privacy Leader: Multi-Factor Authentication & Credentialing; User Access Controls & Group Management Policies; Defense-in-Depth: Networks, Hosts, Devices, Applications, OSs, and, IPs; Configuration & Auditing-Testing: UTMs, NGFWs, IPS/IDS, VLANs/VTP/STP, and UAC-ACL Policies; Enterprise Networks-Perimeter & Networks Segmentation; Enterprise Hosts & Server End Point Protection Security; Enterprise User Access Controls, Credentials, Passwords; 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: UTM Policies: SMB, NetBios, SNMP, NTLM, and, PPTP; NIST Security Content Automation Protocol (SCAP): Group Policies: Active Directory (AD), Group Policy Management (GPM); Validation & Audit of IP Networks Subnets & VLANs; OWASP Secure Coding Practices: SSL/TLS, IPSec, AES256, RSA2048; 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.
CompTIA Security+ Network Security Instructor for Telecom Network Administrators, State of New York
.

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

• 25+ 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.

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).

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: recent expert thought leadership includes invited expert paper leading Cyber Risk Insurance Underwriting industry practices for the National Association of Insurance Commissioners (NAIC) (2018);
expert paper on Cybersecurity Networks, Systems & Controls Standards Development for the Risk.Net Journal of Operational Risk (2018); 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

• 25+ 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.

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 Guide including NLP, Robotics, & Process 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.

APPLIED R&D VENTURES LEADING GLOBAL REAL-WORLD PRACTICES

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 AI-KM research recognized for real world impact among Finance and IT Nobel Laureates such as Black-Scholes and Herbert Simon, (d) computational quant risk analytics leadership of top Wall Street investment banks and hedge funds, and, (e) Princeton Quant Trading Presentations on AI, algorithms, and machine learning for next-generation probabilistic modeling and cyber risk management of financial markets, (f) MIT industry expert leadership of Management & Leadership executives by advancing on pioneering AI and machine learning R&D inspired by the pioneer of Genetic Algorithms, Dr. John Holland, while he was at Santa Fe Institute in mid-1990s, Dr. Yogesh Malhotra's AI, algorithms, and machine learning, and, anticipatory risk analytics and computational quant finance and cybersecurity risk management focus further advanced beyond (g) 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. [More]

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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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] [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
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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 63 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®. line

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

2015-2018: 63 Top-10 SSRN Research Rankings: Top 2% 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

2015-2018: 63 SSRN Top-10 Research Rankings: Top-2% 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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