Global Risk Management Network, LLC, Cornell Business & Technology Park, Ithaca, New York 14852-4892.
Griffiss Cyberspace
, Griffiss Business & Technology Park, Griffiss AFB, Rome, New York 13442-1155.
World-Leading Hi-Tech R&D Leading Global AI, Machine Learning, and, Risk Management Practices
Post-Doctoral R&D in AI & Machine Learning: Quant Finance, Computer Science, Cybersecurity.
PhD, MSQF, MSCS, MSNCS, MSAcc, MBAEco, BE, CEng, CISSP, CISA, CEH, CCP-CDP, CPA Education

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

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JP Morgan Hedge Funds Quant : Princeton Quant Finance Expert : MIT AI-Machine Learning Expert : NYS CISO Expert
Impact: [Computational Quant Finance : AI & Machine Learning : Cybersecurity & Cryptography : Digital Transformation]
FinRM™: [Download our Research:
Future Of Finance™ : Model Risk Arbitrage™ : Griffiss Cyberspace™]
Who's Who in America®, Who's Who in the World®, Who's Who in Finance & Industry®, Who's Who in Science & Engineering®
AACSB: Research Impact among Finance Nobel Laureates Black-Scholes, Markowitz & Sharpe: Risk & Uncertainty Management.
MIT: AI & Machine Learning: Industry Expert: Deep Learning, NLP, Robots: Self-Driving Cars: Unmanned Ground Vehicles.
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.
RISK.Net: Bridging Networks, Systems and Controls Frameworks for Cybersecurity Curriculums and Standards Development.
NAIC: National Association of Insurance Commissioners: Pre-empting the Forthcoming Global Cyber Risk Insurance Crisis.
AFCEA C4I & Cyber Conference: Cybersecurity Risk & Uncertainty Management: AI-ML and Risk Management Controls.
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.

World-class Executive Managing Director leading worldwide CEO-CxO practices: Digital Transformation,
AI & Machine Learning, Computational Quant Finance & Trading, and, Cybersecurity & Cryptography.

CEO-CxO Teams AI-ML-Strategy Advisor. JP Morgan Quant: Wall Street Hedge Funds. NYS CIO-CISO Expert.
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.
Global Impact: Worldwide Premiere Media Coverage in Most Top-Tier Business-Technology Press Publications.  

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

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

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

Worldwide top leadership programs such as the Harvard MBA, IT visionaries such as Microsoft founder Bill Gates, Big-4 CxOs, and, CIOs of the US Army, US Navy, and US Air Force, have applied our digital ventures transforming global digital practices and recommended us to all as pioneers of Digital Transformation.

• Leading high impact Global Strategy & Technology Practices, Ventures, Programs, Projects, and, Teams in Artificial Intelligence & Machine Learning, Block Chain & Cloud Computing, Cybersecurity & Cryptography, and, Quantitative Finance & Trading in multiple U.S. national and worldwide leadership roles.

• Pioneered ‘Digital Transformation’ as founder of the world’s top ranked Digital Transformation WWW sites (Computerworld), Digital Transformation search engine (Carnegie Mellon-Industry.Net National Awards), and, Digital Transformation social network (ranked among others such as LinkedIn).

• Recent Global and National CEO-CxO and Managing Director level leadership roles:

Leading global CEO-CxO teams Strategy & Technology pioneering Block Chain Cloud Computing enabled by AI & Machine Learning, and, leading worldwide CEO roadshows for global investors and major funds across Asia and Australia;

GIBC Digital Managing Director leading development and delivery of global and national AI & Machine Learning and Cybersecurity & Cryptography ventures for worldwide firms and governments;

Leading 200 CEOs and industry leaders ventures pioneering AI & Machine Learning as Industry Expert-SME for the MIT Sloan School of Management and MIT Computer Science and AI Lab (CSAIL);

New York State CISO role leading Zero-Trust Architectures and Network Segmentation Cybersecurity practices and thought leader for the New York State Governor's Cybersecurity Conference advancing on developing Offensive-Defensive Cybersecurity program accredited by the State of New York.

Leading Asset Management and Hedge Funds Investments Strategies and Technologies for Wall Street investment banks with $1 Trillion AUM such as Liquidity Risk Modeling and VaR Portfolio Stress Testing for the JP Morgan Global Head of Quant Research & Analytics-JP Morgan US Head of Portfolio Construction, and, his Team of Managing Directors & Portfolio Managers.

2015-2018: Princeton University Annual Presentations at the Princeton Quant Trading & Finance and FinTech Conferences – sponsored by firms such as Goldman Sachs and Citadel – advancing AI & Machine Learning, Cyber Finance, and, Cybersecurity Risk Insurance Finance-IT-Risk Management practices.

2015-2018: Post-Doctoral Applied & Industrial R&D: Global and National Presentations & Publications. SSRN: AI-Machine Learning & Risk-Uncertainty Management: SSRN: 63 Top-10 Research Rankings: Top 2% Authors.

• Career track record of high impact world-leading global and national Finance-IT-Risk Management leaderships for world-leading firms, governments, and institutions across worldwide industries including Asset Management & Investments, Automotive Engineering, Banking & Finance, Computer & Network Security, Governments, Healthcare, Hedge Funds, Hi-Tech Research & Development, Higher Education, Information Technology, Internet, Process Engineering, and, Software Development.

• Industry Expert and Subject Matter Expert for the MIT Sloan School of Management (Curriculum Director: Professor Tom Malone) and the MIT Computer Science and AI Lab (C-SAIL) (Curriculum Director: Professor Daniela Rus) leading Strategies and Technologies application of AI, Machine Learning, Deep Learning, Natural Language Processing (NLP), Robotics: Self-Driving Cars and Robotics Process Automation for the 200 global Management and Leadership CEOs and industry executives from largest global firms to Silicon Valley startups pioneering AI and Machine Learning enterprise ventures.

• Finance-IT-Risk Management leadership for Big-3 IT and Big-3 Finance firms such as Bank of America; Digital Risk Management ventures with global clients and patrons such as Goldman Sachs, Google, IBM, and, Intel; and, Quantitative Risk Management projects for top investment banks and hedge funds with $1 Trillion AUM such as JP Morgan across USA, North America, Europe, and Asia.

• Global IT and Risk Management consulting practices leader across USA, North America, Europe, and Asia for largest telecom and electronics firms such as British Telecom (UK), and, Philips (Netherlands). Founder and Chief Knowledge Architect of world’s largest Digital Transformation network of practice of over 130,000 members, millions of worldwide users, developing and disseminating global Digital Transformation practices leading a global team of 200 PhD experts from industry and academia.

• National expert on 32 National Science Foundation US Cybersecurity and Computer Science national expert panels of computer scientists leading allocation of multi-million dollar grants for Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) commercialization of US IT and Cybersecurity innovations.

• Founding co-Editor of Ziff Davis Global Standard for Internet Commerce leading nationwide US CIOs and CTOs, and, pioneer of National Information Infrastructure R&D. Real world impact of industrial R&D and practices for leading Cyber-Transformation of worldwide governments, firms, and, institutions including US and global defense agencies such as U.S. DoD and CIOs of Army, Navy, and, Air Force ranked among Finance-IT Nobel laureates by AACSB, IT industry surveys, and, premiere scientific studies.

• Invited Digital-Computer Science expert advisor and thought leader for the U.S. Federal Government – as council partner – and parliamentary cabinets of world governments and nations including the Government of Switzerland, the Government of Netherlands, the Government of Mexico, and, the nation of South Korea; the United Nations, the Conference Board, and, the Institute for Supply Management.

• Invited IT and Cybersecurity Strategy, Banking & Finance, and, Cyber Risk Management thought leader keynotes and presentations for Fortune 500 chief security officers, Wall Street investment bank executives, and, Silicon Valley venture capitalists and CEOs.

• Industry-leading Cybersecurity Risk Management strategy and FinTech-Crypto Risk Management presentations and publications leading global practices at Princeton Quant and FinTech conferences (2018, 2016, 2015), Armed Forces Communication and Electronics Association (AFCEA) Cyber & C4I Conference (2018), New York State Cybersecurity Conference (2016), US National Chief Risk Officers & CSOs Keynote (2015), New York State Cybersecurity and Engineering Technology Association Conference (2015), etc., and, publications such as Risk.Net Journal of Operational Risk (2018), National Association of Insurance Commissioners (NAIC) Cyber Risk Insurance expert paper (2017), etc.

• CxO-CIO leadership interviews and editorial reviews in premiere worldwide business technology media including Wall Street Journal, New York Times, Fortune, Inc., Fast Company, Business Week, CIO Magazine, CIO Insight, Computerworld, Information Week, etc.

• Executive Education faculty for Carnegie Mellon University and the Kellogg School of Management. As tenure-track Business School and STEM Computer Science professor coached, mentored, and, supervised 500 teams of over 2,000 Business Technology professionals placed worldwide including at premiere Silicon Valley IT firms and Wall Street investment banks and hedge funds.

• Quantitative Risk Modeling-Quantitative Methods professor of IT and Operations Research MBA; Management Information Systems professor of e-Business and Knowledge Management MBA and Executive MBA, and, STEM Computer Science professor of CompTIA Security+ for Network Administrators.

• Professional Industry Certifications:

CISSP (Since 2005), CISA (Since 2007), CEH (Since 2014); Security+ Instructor (Since 2016), C.Eng., CCP-CDP, CPA (Education), PRMIA.

• Top-10 MIS (Management Information Systems) PhD: Risk Management Control Systems Thesis: PhD fellowship with IT Strategy Pioneer; 5 Masters Degrees: Computer Science, Cybersecurity Engineering (Insurance), Quant Finance-Financial Engineering, Accountancy, Quant Economics: MS Network & Computer Security: Cyber Risk Insurance Thesis: NAIC Expert Paper (Outstanding Student Award), MS Computer Science, MS Quantitative Finance, MS Accountancy (Perfect GPA Award 4.0/4.0), MBA Quantitative Economics (4.0/4.0), and, Bachelor of Engineering, Chartered Engineer & Life Member, Institution of the Engineers.


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

• Global CEO & CxO Media Interviews & Editorial Reviews: Global Impact: 
CIO, Wall Street Journal, New York Times, Fortune, Inc., etc.

• Post-Doc AI-ML-Cyber-Crypto-Quant Finance: 
- MIT AI & Machine Learning Expert, 
- Princeton Crypto-Quant-FinTech Expert,
Executive Education Faculty:
- Carnegie Mellon University
- Kellogg School of Management
PhD, MSNCS, MSCS, MSQF, MSAcc, MBAEco,
CEng, CISSP, CISA, CEH, CCP-CDP, CPA Education.



• 2018 Princeton Quant FinTech Presentation:  MRM beyond Deep Learning and GANs
• 
2018 MIT AI-Machine Learning Executive Guide including 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


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

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

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

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

• 20+ year PhD & Post-PhD Leadership in development and advancement of Deterministic, Stochastic, &, Non-Deterministic Data Analytics Methodologies published in Top Academic Research Journals and Proceedings including AI, Algorithms, and, Machine Learning Models presented at 2015-2018 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.
• 20+ 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

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

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

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

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

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

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

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

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

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.

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

AACSB

AACSB logo

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

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EXECUTIVE SUMMARY
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Princeton University MIT Sloan School of Management Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education    MIT Computer Science & ArtificialIntelligence Laboratory CSAIL Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education     GetSmarter: Learn Online with the World's Top Universities
Princeton Quant Trading & FinTech Conference, Invited Presentations
   
Sponsors: Princeton University, Goldman Sachs, Citadel, SIG, KCG

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

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

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

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

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

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

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

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


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

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

EXPERIENCE

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

National Association of Insurance Commissioners Cyber Insurance VaR Expert Paper

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

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

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

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

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

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

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

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

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

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

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

Credit Risk Models

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

Market Risk Models

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

Interest Rate Derivatives Models

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

Equity Portfolio Models

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

Fixed Income Portfolio Models

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

SKILLS
line

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

IMPACT
line

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

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

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

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

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

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

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

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

Digital Transformation Research & Practices Leading Global Firms & Governments

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

ANTICIPATORY & PREDICTIVE QUANT RISK ANALYTICS LEADING CFOs & CROs

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

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

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

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

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

Credit Risk Models

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

Market Risk Models

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

Interest Rate Derivatives Models

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

Equity Portfolio Models

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

Fixed Income Portfolio Models

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

PRINCETON QUANT PRESENTATIONS LEADING ALGORITHMIC FINANCE & TRADING

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

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


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

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

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

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

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

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

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

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

LEADING GLOBAL CYBERSECURITY RISK ENGINEERING PRACTICES

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

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

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


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

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

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

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

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

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

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

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

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

Digital Transformation & Knowledge Management Pioneer

CyberspaceOrganizations

Published: 2000

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

Microsoft

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

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

Princeton University
CyberspaceBusinessModels
Journal Articles & Reports
1993-Present

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

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


RESEARCH & PUBLICATIONS
- Download Full-Text Articles

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


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

 


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

Editorial Panels: International Conferences

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

 

Associate Editor: Journals

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

International Editorial Advisory Boards: Journals

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

Journal Special Issues Editor & Associate Editor

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

Editorial Review Panels: Journals

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

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

British Telecom UK Cisco Systems IBM Intel Corp. Microsoft

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

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

MIT Sloan School of Management MIT PressHarvard UniversityStanford School of Medicine

Stanford UniversityMIT 50 K Entrepreneurship CompetitionMIT LibrariesYale Law Journal NASA

Fortune Inc. Business WeekNew York TimesWall Street Journal

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

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

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

And Elsewhere...

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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

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

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

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

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

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

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

  • 2018 Princeton Quant & FinTech Conference, Princeton University

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

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

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

  • 2018 Bridging Networks, Systems & Controls Frameworks for Cybersecurity

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

  • 2018 Google Mobile Apps Development: Grow with Google Scholarship

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

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

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

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

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

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

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

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

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

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

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

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

  • State Street Bank HQ Invited Presentation: Modeling Extreme Risks

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

  • 2015 NYSETA Conference: Advancing Cybersecurity Standards & Practices

    New York Cyber Security & Engineering Technology Association

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

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

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

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

  • United Nations Global Economists Expert Panel Quant on Digital Assets

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

  • 32 National Science Foundation Cyber Security Computing Expert Panels

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

  • CNET Networks Corporate Computing Award for Most Influential Research

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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


PROJECTS PORTFOLIO
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2015-2018: 63 SSRN Top-10 Research Rankings: Top-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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