Dr. Yogesh MalhotraRESEARCHWall Street Quant: Big-3 Finance-IT LeaderResearch Impact among Nobel LaureatesPrinceton Quant Trading PresentationsVentures:
[Digital Transformation Pioneer] [AI, Algorithms & Machine Learning] [Computational Quant Finance] [FinTech: 'Rethinking Finance'] [CyberSecurity Risk Engineering]

2015 & 2016 Princeton Quant Trading Conference: Sponsors: Goldman Sachs, Citadel, SIG, KCG Holdings.,
2008: AACSB: Model Risk Management Research Impact among Nobel Laureates such as Black-Scholes.

*Research Impact *Beyond 'Prediction' *Future of Finance *Beyond VaR *Model Risk Management *Future of Risk *Cyber Risk *SSRN *Google Scholar *Publications
*Projects *Goldman Sachs *JP Morgan *Wall Street Hedge Funds *Princeton Presentations *Model Risk Arbitrage *Cyber Finance *Cyber Risk Insurance *Quantum Crypto
*Bayesian vs. VaR *Markov Chain Monte Carlo *Wireless Mobile Trust Models *VoIP Pen Testing Frameworks *Bitcoin Cryptanalytics *NFS Cryptanalytics Algorithms

Pioneering Computational, Quant, Cyber & Quantum Finance-IT-Risk Engineering ICT Digital Transformation.


RESEARCH & PUBLICATIONS - Download Full-Text Articles

AI & Decision Modeling; Algorithms & Machine Learning;
CyberSecurity Risk Engineering; Quantum Computing:
Frameworks, Models, Methods & Metrics in Applied Research
Books, Research Articles, Expert Papers, & Expert Keynotes

RESEARCH *ACM-TMIS *Princeton *SSRN *MRM *GoogleScholar *Syracuse *LinkedIn
Research Impact:
Projects | Ventures | Real Impact | Research Impact | Honors & Awards |
Research: Recent Research | Books/Theses | Journals | Expert Papers | Book Chapters | Proceedings | Reprints
CxO Leadership: Consulting | Impact | Honors | Keynotes | CxO Think Tank | CxO Practices | CxO Guidance |
U.S. National Science Foundation SBIR/STTR Grants Cyber Computing & Cyber Security Expert Reviewer Panels |

Quantitative Models & Quantitative Methods Validation Review Panels: Computer Science, IT/OR, Economics

*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.

*2008: AACSB: Model Risk Management Research Impact among Nobel Laureates such as Black-Scholes.
*2015 & 2016 Princeton Quant Trading Conference: Sponsors: Goldman Sachs, Citadel, SIG, KCG Holdings.
*2015 Princeton Quant Trading Conference Invited Research Presentation: Sponsor: Princeton University.
*2016 Princeton Quant Trading Conference Invited Research Presentation: Sponsor: Princeton University.
*2016 New York State Cyber Security Conference Research Presentation: Sponsor: New York State Governor.
*2017: SSRN: 40 Top-10 Rankings: Top 10% Authors: AI-Decision Modeling-Algorithms-Machine Learning.
*2017-2018: ACM-TMIS: Special Issue: FinTech-TechFin Applications: IS Outcomes-Translational Research.
*Publications: 2018 Jrnl. of Operational Risk, 2017 Jrnl. of Computer Sciences, SSRN, MRM, Prior Research.

Princeton University
2015 & 2016: Princeton Quant Trading Conference, Invited Research Presentations
Sponsors: Princeton University, Goldman Sachs, Citadel, SIG, KCG.

Princeton Quant Trading Conference 2016

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.



POST-GLOBAL FINANCIAL CRISIS RESEARCH, 2009-Current


Computational Quant Analytics; AI & Decision Modeling; Algorithms & Machine Learning

Malhotra, Yogesh. Toward 'Cyber-Finance' Cyber Risk Management Frameworks of Practice: Bridging Networks, Systems, and, Controls Frameworks, Journal of Operational Risk, March 2018 (Forthcoming).
Full-text Download:https://ssrn.com/abstract=2988154.

Malhotra, Yogesh. Quantitative Modeling of Trust and Trust Management Protocols in Next-Generation Social Networks-Based Wireless Mobile Ad Hoc Networks, IUP Journal of Computer Sciences, Vol. XI, No. 2, April 2017.
Full-text Download:https://ssrn.com/abstract=2983573.

New York State Cyber Security Conference, 2016, Empire State Plaza, Albany, NY (June 08, 2016):
Rethinking Cybersecurity & Risk Management: Advancing Beyond Predictive to Anticipatory Risk Analytics: CyberFinance
- Conference Sponsors: New York State Governor, New York State Office of Information Technology.
(Beyond Predictive to Anticipatory Cybersecurity Risk Analytics)
Malhotra, Yogesh. Advancing Beyond Predictive to Anticipatory Risk Analytics: CyberFinance: Why Cybersecurity Risk Analytics Must Evolve to Survive 90% of Emerging Cyber Financial Threats, and, What You Can Do About It?, New York State Cyber Security Conference, 2016, Empire State Plaza, Albany, NY (June 08, 2016).
Full-text Download: https://ssrn.com/abstract=2791863.

Princeton Quant Trading Conference 2016, Princeton University (April 16, 2016):
Rethinking Finance & Offensive Cybersecurity Risk Management
- Conference Sponsors: Princeton University, Goldman Sachs, Citadel.
(Beyond Stochastic Models to Non-Deterministic Methods)
Malhotra, Yogesh. 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, Princeton Quant Trading Conference 2016, Princeton University (April 16, 2016).
Full-text Download: http://ssrn.com/abstract=2766099.

Princeton Quant Trading Conference 2015, Princeton University (April 04, 2015):
Rethinking Finance & Defensive Cybersecurity Risk Management

- Conference Sponsors: Princeton University Bendheim Center & ORFE, Citadel, KCG.

(Beyond Risk Modeling to Knightian Uncertainty Management)
Malhotra, Yogesh. Knight Reconsidered: Future of Finance Beyond Flash Boys:
Risk Modeling for Managing Uncertainty in an Increasingly Non-Deterministic Cyber World
, Princeton Quant Trading Conference 2015, Princeton University (April 04, 2015)

Full-text Download: http://ssrn.com/abstract=2590258.


Post-Doctoral Computational Quant Analytics Decision Modeling Applied Research Thesis on
Advanced Data Science Analytics Models & Methodologies in
Quantitative Finance, Model Risk Management, & Cybersecurity Risk Insurance (January 19, 2015); Advisors: Distinguished Computer Scientists & Cybersecurity Experts: US Air Force Research Lab, New York State Cyber Research Institute, and, New York State; Mentors: Top Leadership Quant Risk Analytics & U.S. Hedge Fund and Fund of Hedge Funds Portfolio Managers from Wall Street Investment Banks with $1 Trillion AUM.
Malhotra, Yogesh. Stress Testing for Cyber Risks: Cyber Risk Insurance Modeling beyond Value-at-Risk (VaR): Risk, Uncertainty, and, Profit for the Cyber Era, Post-Doctoral Research Thesis on Advanced Data Science Analytics Models & Methodologies in Quantitative Finance, Model Risk Management, and Cybersecurity Risk Insurance (Last Revised: 25 Jan 2017).
189 Pages, 145 References, 208 Footnotes.
Full-text Download: http://ssrn.com/abstract=2553547.
[Executive Summary]

[Original title of submitted Thesis: Risk, Uncertainty, and Profit for the Cyber Era: Model Risk Management of Cyber Insurance Models Using Quantitative Finance and Advanced Analytics.]

Keywords: Model Risk Management, Risk Management, Risk Modeling, Quantitative Finance, Cyber Finance, Virtual Finance, Cyber Insurance Models, Cyber Risk Insurance, Uncertainty Modeling, Uncertainty Management, Knightian Uncertainty, Bayesian Inference, Markov Chain Monte Carlo Models, Quantum Computing, Value at Risk, VaR, T-VaR, Conditional Tail Expectation, ARCH, GARCH, Conditional VaR, Cornish-Fisher Approximation, Cyber-Finance-Trust™ Framework, Expected Shortfall, Expected Tail Loss, Extreme Value Theory, FAST, FIX, Flash Boys, Gibbs Sampling, Metropolis-Hastings Algorithm, HFT, High Frequency Trading, Crypto Currencies, Bitcoin, Model Risks, Power Laws, Quantitative Analytics, Cryptography, Network Protocols, Cryptology, Encryption Algorithms, Cryptanalysis Algorithms.

Malhotra, Yogesh. Bridging Networks, Systems and Controls Frameworks for Cybersecurity Curricula & Standards Development, (Full Research Paper Accepted for Conference Presentation), 2015 New York State Cyber Security & Engineering Technology Association Conference, Rochester Institute of Technology, Rosica Hall, NTID, Rochester, New York, Oct. 22, 2015.
Full-text Download:https://ssrn.com/abstract=2792636.

Malhotra, Yogesh.Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: Enterprise Risk Management to Model Risk Management: Understanding Vulnerabilities, Threats, & Risk Mitigation, Invited Plenary Keynote to Fortune 100 Chief Risk Officers & Chief Security Officers, Altria World HQ, Richmond, VA, September 2015.
Full-text Download:https://ssrn.com/abstract=2693886.

Malhotra, Yogesh. Beyond 'Bayesian vs. VaR' Dilemma to Empirical Model Risk Management: How to Manage Risk (After Risk Management Has Failed) for Hedge Funds, (Advanced Practice beyond MIT Sloan Management Review Post-Crisis 'MRM Dilemma'), JP Morgan Private Bank Practice Paper, December 2014.
Full-text Download:https://ssrn.com/abstract=2538401.

Malhotra, Yogesh. Markov Chain Monte Carlo Models, Gibbs Sampling, & Metropolis Algorithm for High-Dimensionality Complex Stochastic Problems, (Bayesian Inference and Machine Learning Algorithms for Model Risk Management), Grifiss Cyberspace™ Cybersecurity Finance Practice Paper, May 2014.
Full-text Download:https://ssrn.com/abstract=2553537.

Malhotra, Yogesh. A Risk Management Framework for Penetration Testing of Global Banking & Finance Networks VoIP Protocols, (Stress Testing Frameworks for Emerging Quantitative Finance Cyber Risk Concerns.), Grifiss Cyberspace™ Cyber Finance Practice Paper, May 2014.
Full-text Download:https://ssrn.com/abstract=2555098.

Malhotra, Yogesh. Future of Bitcoin & Statistical Probabilistic Quantitative Methods: Global Financial Regulation, (Interview: Hong Kong Institute of CPAs), Grifiss Cyberspace™ Cyber Finance Practice Interview, January 20, 2014.
Full-text Download:https://ssrn.com/abstract=2911645.

Malhotra, Yogesh. Bitcoin Protocol: Model of 'Cryptographic Proof' Based Global Crypto-Currency & Electronic Payments System, (First Technical Report on the Topic of Bitcoin Blockchain 'Cryptographic Proof': Preceded Goldman Sachs' Report on the topic.), Grifiss Cyberspace™ Cyber Finance Practice Paper, December 04, 2013.
Full-text Download:https://ssrn.com/abstract=2911623.

Malhotra, Yogesh. Advancing Cognitive Analytics Using Quantum Computing for Next Generation Encryption, (First Technical Report on the Topic of Next Generation Encryption & Decryption applying Quantum Mechanics Principles of Superposition and Entanglement in Cognitive Analytics.), Grifiss Cyberspace™ Cyber Finance Practice Paper, December 04, 2013.
Full-text Download:https://ssrn.com/abstract=2940467.

Malhotra, Yogesh. Number Field Sieve Cryptanalysis Algorithms for Most Efficient Prime Factorization on Composites, (Preceded Google's Public Announcement of Switch from 1024- to 2048-bit RSA. First Technical Report on the Topic of Next Generation Encryption & Decryption advancing beyond Shannon's Maxim and Kerckhoffs's Principle.), Grifiss Cyberspace™ Cyber Finance Practice Paper, May 2013.
Full-text Download:https://ssrn.com/abstract=2553544.

Malhotra, Yogesh. A Framework for Liquidity Assessment in Portfolio Construction & Optimization at JPMorgan Private Bank, (JP Morgan Project Presentation to the JP Morgan Global Head of Quantitative Research & Analytics and US Head of Portfolio Construction and Team of Senior Quants, Managing Directors, Portfolio Managers), JP Morgan World Headquarters, 270 Park Avenue, New York, NY. June 22, 2012.
Full-text Download:http://yogeshmalhotra.com/JPMorganLiquidityRiskFramework.ppsx.

Malhotra, Yogesh. Measuring & Managing Financial Risks with Improved Alternatives Beyond Value-at-Risk (VaR), (Preceded Risk Magazine Report about Basel Moving Beyond VaR. Preceded PRMIA Curriculum Coverage of Advanced VaR Techniques by more than 2 years.), Global Risk Management Network, LLC Quant Finance Practice Presentation, January 2012.
Full-text Download:https://ssrn.com/abstract=2594859.

  1. Princeton Quant Trading Conference 2015 (April 04, 2015), Princeton University: Knight Reconsidered:
    'Future of Finance Beyond Flash Boys': Risk Modeling for Managing Uncertainty in an Increasingly Non-Deterministic Cyber World
    (Invited Research Presentation on Post-HFT Finance and Risk Models & Methodologies)

  2. Risk, Uncertainty, and Profit for the Cyber Era: Model Risk Management of Cyber Insurance Models Using Quantitative Finance and Advanced Analytics
  3. Beyond ‘Bayesian vs. VaR’ Dilemma to Empirical Model Risk Management: How to Manage Risk (After Risk Management Has Failed).
  4. Markov Chain Monte Carlo Models, Gibbs Sampling & Metropolis Algorithm for High-Dimensionality Complex Stochastic Problems.
  5. Quantitative Modeling of Trust and Trust Management Protocols in Next Generation Social Networks Based Wireless Mobile Ad Hoc Networks.
  6. A Risk Management Framework for Penetration Testing of Global Banking & Finance Networks Voice over Internet Protocols.
  7. Cryptology beyond Shannon’s Information Theory: Technical Focuson Number Field Sieve Cryptanalysis Algorithms for Prime Factorization.
  8. A Framework for Penetration Testing & Security of Network Protocols for Global Banking & Finance Call Centers.
  9. Future of Bitcoin & Statistical Probabilistic Quantitative Methods: Global Financial Regulation (Interview: Hong Kong Institute of CPAs).
  10. Bitcoin Protocol: Model of 'Cryptographic Proof' Based Global Crypto-Currency & Electronic Payments System.
  11. Quantum Computing, Quantum Cryptography, Shannon's Entropy and Next Generation Encryption & Decryption.
  12. Cryptology Beyond Shannon's Information Theory: Preparing for When the 'Enemy Knows the System'.
  13. C++11 Concurrency and Multithreading Programming Logic for High Frequency Trading and Hedge Funds.
  14. Measuring & Managing Financial Risks with Improved Alternatives beyond Value-At-Risk (VaR).
  15. VLANs Implementation, inter-VLAN Routing & VLAN Trunking Protocol using Cisco Network Security Best Practices (Cisco VLANs).
  16. Network Intrusion Detection and Prevention & Active Response: Frameworks, Systems, Methods, Tools & Policies (Cisco IDS/IPS).
  17. Analysis of Attack Trees for Mitigating Cybersecurity Attacks on Global Banking & Finance and SCADA Systems.
  18. Analysis of FIX and FAST as Financial Securities Trading and Transactions Messaging Network Protocols.
  19. Threats and Vulnerabilities: A First 'Appetizer' to Cybersecurity: 15 Minutes to Minimizing 95% Threats.
  20. C++ Options & Financial Derivatives Pricing Algorithms and Quantitative Finance Design Patterns.
  21. Adaptive Neuro-Fuzzy Inference System Models for Forecasting Nonlinear Chaotic Time Series Signals.
  22. Machine Learning & Java Neural Networks Algorithms for Non-Linear & Non-Normal Signal Processing of Financial Time Series.
  23. A Probabilistic Mathematical Analysis Model of the Financial Market as a Bayesian Learner.
  24. Algorithm Models of Social Networks, Graph Theory, Game Theory & Nash Equilibrium.
  25. Vector Autoregressive Models of Market Microstructure for Analyzing High Frequency Econometric Time Series.
  26. Empirical Replication of Yield Curve Decomposition Models (Based on Cochrane and Piazzesi study, 2008).
  27. Empirical Replication of Ho Lee Merton Short Rate and Term Structure Models for Bond Options Pricing.
  28. Empirical Calibrations of Hull White Model and Merton Tree Model for Modeling Interest Rates and Bond Prices.
  29. Empirical Models of Monetary Neutrality, Real Income Growth, Nominal Income Growth, and Inflation.
  30. Empirical Models of Purchasing Power Parity and Fisher Equation for Prices, Interest Rates, and Exchange Rates.
  31. Empirical Replication of JP Morgan Credit Default Swaps (CDS) Models for CDS Mark to Market Valuations.
  32. Empirical Replication of Merton's Model of Default Probabilities with Debt as an Option on Firm Assets.
  33. Empirical Replication of the Gaussian Copula Model for Time to Default for Four Different Firms.
  34. Empirical Replication of the Nth to Default Swap Pricing Model for Risk Pooling Strategy for Risky Bonds.
  35. Empirical Replication of Merrill Lynch Gaussian Copula Model for Nth to Default Swap Pricing over Multiple Periods.
  36. Empirical and Simulation Models of Large Portfolio Approximation (LPA) of Credit Default Probabilities.
  37. Worst Case Default Rates (WCDR) and VaR Models for Bank Loans Based Upon Gaussian Copula Correlations.
  38. WCDR and Risk Weighted Assets (RWA) Models for Bank Loans Given Probability of Default (PD) and Loss Given Default (LGD).
  39. CreditMetrics Methodology Models and Simulation for Assessing Credit VaR & Economic Capital for a Bond Portfolio.
  40. Moody's KMV Model for Distance-to-Default, Expected Default Frequency (EDF) and CDS Fair Value Spreads Estimation.
  41. Counterparty Default Risk Models for Semi-Annual and Annual Forward Rate Contracts for Currency Swaps.
  42. Bank's Credit Derivative Valuation Models of Ratings Transition Matrices, Real and Risk Neutral Default Probabilities.
  43. Monte Carlo Simulation and Option Pricing in C++: A Monte Carlo Pricer for Path Dependent Financial Options.
  44. Maximum Likelihood Estimation of GARCH Models for Empirical Analysis of Asset Prices and Returns Time Series.
  45. Maximum Likelihood Estimation of Cox-Ingersoll-Ross Model for Empirical Analysis of Federal Interest Rates.
  46. Maximum Likelihood Estimation of 2-regime Markov Regime Switching Model for Empirical Analysis of Federal Interest Rates.
  47. Econometric Analysis and Volatility Modeling Using GARCH and VaR for Stock, Index, and Commodity Time Series.
  48. VaR Modeling with Monte Carlo and Historical Simulation (HS), Weighted HS, and Filtered HS for Multiple Time Series.
  49. Back Testing Model Comparisons of Unconditional and Conditional VaR Models for Multiple Financial Time Series.
  50. Black-Scholes Model Based Monte Carlo Engine for Derivatives Pricing of Exotic Options in C++.
  51. Jump Diffusion Analysis of Option Price Sensitivity to Simulations in Comparison of Black‐Scholes and Monte Carlo Models.
  52. A Comparison of CAPM, Constrained Portfolio Optimization, MACD, and Black Litterman Model Portfolio Optimization Strategies.
  53. Empirical Models of ARCH/GARCH Volatility and Black-Scholes Simulations for Pricing Vanilla and Barrier Options.
  54. Transient Directional Volatility Arbitrage & Volatility Neutralizing Hedging Strategies for Portfolio Management.
  55. Volatility Trading and Volatility Markets Using VIX, VIX Futures, VIX Options, and VIX Term Structure Models.
  56. Financial Statements Analysis Models of Constant Growth HPR, Steady State Dividend Growth, FCF and Abnormal Earnings.
  57. Investment Strategy Portfolio Simulations and Comparative Volatility of Investment Portfolio and Market Porfolio Models.
  58. Financial Asset Valuation Models in Corporate IPOs, Bankruptcies, Liquidations, Restructurings, Mergers and Acquisitions.
  59. Fundamental Shifts in Financial and Accounting Risk Management Pertaining to Global Finance and Capital Markets.
  60. Fundamental Shifts in Efficient Markets Hypothesis, 'New Normal' Outside +/- 3-Sigma, and Market Microstructure.
  61. Accounting Measurement and Reporting for Fair Value Accounting and 'Mark-to-Market' Transactions and Events.
  62. Advanced Financial Auditing of Simulated Corporation Financial Statements Using ACL for Auditing and Compliance.
  63. Financial Auditing & Assurance Simulation Using ACL for Risk Assessment of Firm's Enterprise Business Processes.
  64. Assessing Financial Audit Risk of Big-4 Firm's Proposed Audit Client Acquisition of Oracle Corporation on Sun Acquisition.
  65. FASB-IASB Convergence of US GAAP and IFRS Asset Fair Value Measurement Standards Based Upon SFAS 157.
  66. Forensic Accounting & Analysis of Financial Statements of Goldman Sachs, Morgan Stanley, and Berkshire Hathaway.
  67. Financial Accounting Analysis of Statutory Merger of Burlington Northern Santa Fe Corporation in Berkshire Hathaway Inc.

Independent Post-Doctoral Research in Quant Finance, Cybersecurity Risk Engineering, AI & Modeling, Algorithms, and Machine Learning

  1. Keywords: Quantitative Analytics, Quantitative Finance, Model Risk Management, Risk Modeling, Model Risks, Cyber Insurance Models, Cyber-Finance-Trust Framework, VaR, Value at Risk, Expected Shortfall, Expected Tail Loss, Conditional VaR, Cornish-Fisher Approximation, Extreme Value Theory, Bayesian Inference, Markov Chain Monte Carlo Models, Gibbs Sampling, Metropolis-Hastings Algorithm, Power Laws, Knightian Uncertainty.

  2. Quantitative Risk Management & Controls: Quantitative Risk Modeling of Risk Management & Controls PhD Thesis
    (Published Thesis on 1 of 3 Related Quantitative Risk Management Streams of PhD Research & Publications Focus)

  3. Malhotra, Y., Role of Social Influence, Self-Determination and Quality Of Use In Information Technology Acceptance And Utilization: A Theoretical Framework And Empirical Field Study, PhD Thesis. University of Pittsburgh, Doctor of Philosophy Program, Joseph M. Katz Graduate School of Business, Pittsburgh: PA, July 1998, 181 pages, 120 Tables of Quantitative Analysis.

Digital Assets, Markets & Exchanges:
Financial Risk, Model Risk, Enterprise Risk, Operational Risk, Strategic Risk, Systemic Risk & Cyber Risk Management

  1. Malhotra, Y. (ed.), Knowledge Management and Virtual Organizations, Idea Group Publishing, Hershey: PA, April 2000, 408 pages.

  2. Twenty essays present current research on knowledge management as related to effective design of new organization forms. The first section of the book covers frameworks, models, analyses, case studies and research on the integration of knowledge management within virtual organizations, virtual teams and virtual communities of practice. Themes covered in this section include business model innovation; design of virtual organization forms; net-based models; techniques for enabling knowledge capture, sharing and transfer; and collaboration and competition at intra- and inter-organizational levels. The focus of the second half is on key success factors that are important for realizing virtual models of business transformation. Topics include the role of organizational control systems, the role of internal and external employees and customers in creation of organizational knowledge, and information quality issues.

    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


    Published in 2000

  3. Malhotra, Y. (ed.), Knowledge Management and Business Model Innovation, Idea Group Publishing, Hershey: PA, April 2001, 470 pages.

  4. We are living in interesting times characterized by increasing digitalization of business enterprises in a global interconnected knowledge economy. With waning euphoria about the first wave of digital e-business enterprises and a sobering dot-com stock market, business model innovation is being recognized as the key enabler that can unleash value creation for new digital enterprises. Knowledge Management for Business Model Innovation is anticipated to be the mantra for survival, competence and success of pure play Net enterprises, as well as relatively traditional brick-and-mortar enterprises faced with the challenge of transforming their business models into-- and beyond -- click-and-mortar companies.

    CyberspaceBusinessModels

    "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


    Published in 2001

 

Pre-Global Financial Crisis Research, 1993-2008

Post-WWW Computational Quantitative Risk Analytics & Statistical Models

  1. Malhotra, Y., and, Galletta, D.F., Extending the Technology Acceptance Model to Account for Social Influence: Theoretical Bases and Empirical Validation. Proceedings of the Hawaii International Conference on System Sciences (HICSS 32), 6-19, January, 1999, IEEE, Hawaii.
  2. Control Systems PhD Thesis Paper.
  3. Malhotra, Y., Galletta, D.F., and, Kirsch, L.J. How Endogenous Motivations Influence User Intentions: Beyond the Dichotomy of Extrinsic and Intrinsic User Motivations, Journal of Management Information Systems, Summer 2008, Vol. 25, No. 1, 267-299. [PDF]
  4. Malhotra, Y. and Galletta, D.F., A Multidimensional Commitment Model of Volitional Systems Adoption and Usage Behavior, Journal of Management Information Systems, Summer 2005, Vol. 22, No. 1; 117-151. [PDF]
  5. Malhotra, Y. and Galletta, D.F., Building Systems that Users Want to Use, Communications of the ACM, 47, 12, December 2004, 89-94. [HTML version]
  6. Malhotra, Y., Knowledge Management in Inquiring Organizations, Computer Society of India Communications (India), Vol. 30, Issue 4, July 2006, Special Issue on ‘Tacit Knowledge’ edited by McGill University (Canada). [Invited reprint of Americas Conference in Information Systems, August, 1997, paper.] [PDF version]
  7. Malhotra, Y., Integrating Knowledge Management Technologies in Organizational Business Processes: Getting Real Time Enterprises to Deliver Real Business Performance, Journal of Knowledge Management, Vol. 9, Issue 1, April 2005, 7-28.
  8. [HTML version]
  9. Malhotra, Y., When Best Practices Becomes Worst Practices [On Managing Model Risk], Momentum: The Quality Magazine of Australasia [Quality Society of Australasia], NSW, Australia, September 2002, 29-30.
  10. Malhotra, Y., Enabling Knowledge Exchanges for E-Business Communities, Information Strategy: The Executive's Journal, 18(3), Spring 2002, 26-31.
  11. Malhotra, Y., Expert Systems for Knowledge Management: Crossing the Chasm between Information Processing and Sense Making, Expert Systems with Applications: An International Journal, 20(1), 7-16, 2001. [PDF]
    (Ranked 1st in the list of Top 25 Hottest articles in the Computer Science AI & Expert Systems journal, Expert Systems with Applications: An International Journal).
    [Related CAS Prototype: 'The Little Engine That Could' Do Cybernetics, Digital Social Enterprises, & Social Networks; Related Working Paper: On Science, Scientific Method And Evolution Of Scientific Thought: A Philosophy Of Science Perspective Of Quasi-Experimentation (1994)]

  12. King, W.R., and Malhotra, Y., Developing an Andragogy Model for IS/IT Education, Journal of Informatics Education and Research, 3(1), Spring 2001, 1-14.
  13. Malhotra, Y., Knowledge Assets in the Global Economy: Assessment of National Intellectual Capital. Journal of Global Information Management, 8(3), July-Sep, 2000, 5-15. [HTML version]
  14. King, W.R., and Malhotra, Y., Developing a Framework for Analyzing IS Sourcing, Information and Management, 37(6), 2000, 323-334.
  15. Malhotra, Y., Knowledge Management for E-Business Performance: Advancing Information Strategy to 'Internet Time’. Information Strategy: The Executive's Journal, 16(4), Summer 2000, 5-16.
  16. Malhotra, Y., Knowledge Management and New Organization Forms: A Framework for Business Model Innovation. Information Resources Management Journal, 13(1), January-March, 2000, 5-14.
  17. Malhotra, Y., Bringing the Adopter Back Into the Adoption Process: A Personal Construction Framework of Information Technology Adoption. Journal of High Technology Management Research, 10(1), 1999, 79-104.
  18. Malhotra, Y., Knowledge Management for Organizational White Waters: An Ecological Framework. Knowledge Management, 2(6), March, 1999, 18-21.
  19. Malhotra, Y., High-Tech Hidebound Cultures Disable Knowledge Management. Knowledge Management, Knowledge Management, 2(5), February, 1999, 7-11.
  20. Malhotra, Y., Business Process Redesign: An Overview. IEEE Engineering Management Review, 26(3), Fall, 1998, 27-31.
    (Invited Expert Paper published among paper by Professor Tom Davenport.
    )
  21. Malhotra, Y., Knowledge Management for the New World of Business. Asian Strategy & Leadership Institute Review, August, 1998, 36-41. Related Working Papers: Enterprise Architecture: An Overview (1996). National Information Infrastructure: Myths, Metaphors And Realities (1995)
  22. Malhotra, Y., Controlling Copyright Infringements of Intellectual Property. Journal of Systems Management, July, 1994, 45-51.
  23. Malhotra, Y., Controlling Copyright Infringements of Intellectual Property: The Case of Computer Software. Journal of Systems Management, June, 1994, 45-50.
  24. Malhotra, Y., and Erickson, R.E., Interactive Educational Multimedia: Coping with the Need for Increasing Data Storage. Educational Technology, April, 1994, 34-37.
  25. Barton, L., and Malhotra, Y., International Infringement of Software as Intellectual Property, Industrial Management & Data Systems, 1993, 93-100.

Digital Assets, Markets & Exchanges:
Financial Risk, Model Risk, Enterprise Risk, Operational Risk, Strategic Risk, Systemic Risk & Cyber Risk Management

 
  1. Malhotra, Y., Board of Advisors Perspective: On Knowledge Management and Actionable Intelligence. Invited Interview as Board of Advisors member, Inside Knowledge (UK), 2009.
  2. Malhotra, Y., Competitive Strategy for Highly Risky and Uncertain Business Environments. Business Standard (India), January 2, 2007. 
    (Business Standard (India) interviews with world-leading business scholars-practitioner management thinkers in Business Strategy.)
    .
  3. Malhotra, Y., On Model Risks & Systemic Risks Inherent in Financial Market Models: Rethinking Management Information and Control Systems for the New World of Uncertainty and Risk. Invited Interview of Influential UK Management Press, 2005. (Series of Interviews with Knowledge Management Pioneers) [HTML version]
  4. Tema mjeseca: Znanje u organizaciji: ÄŒlanak: Intervju: dr. Yogesh Malhotra, Alistair Craven: (Croatian): Translation in Croatian of the above Knowledge Management Pioneers Interview: Quantum21.net
  5. Malhotra, Y., Expertise Location Management Systems: KMS by Another Name?. CIO Insight, July 2004. 
    (Interview with CIO Insight)
    .
  6. Malhotra, Y., Measuring National Knowledge Assets of a Nation: Knowledge Systems for Development. Expanding Public Space for the Development of the Knowledge Society. Report of the Ad Hoc Expert Group Meeting on Knowledge Systems for Development. United Nations Department of Economic and Social Affairs Division for Public Administration and Development Management, United Nations, New York, 2003, 68-126.
    (Expert Paper Invited by the United Nations Department of Economic and Social Affairs Division for Public Administration and Development Management)

    Malhotra, Y., Why Knowledge Management Systems Fail? Enablers and Constraints of Knowledge Management in Human Enterprises. In Holsapple, C.W. (Ed.), Handbook on Knowledge Management 1: Knowledge Matters, Springer-Verlag, Heidelberg, Germany, 577-599, 2002.
    (CNET Corporate Computing Award, 2002, Most Downloaded Paper Award for Most Influential Paper.) Reprinted as:

     

      1. Malhotra, Y., Why Knowledge Management Systems Fail? Enablers and Constraints of Knowledge Management in Human Enterprises. In Michael E.D. Koenig & T. Kanti Srikantaiah (Eds.), Knowledge Management Lessons Learned: What Works and What Doesn't, Information Today Inc. (American Society for Information Science and Technology Monograph), 87-112, 2004.
        (AACSB International Impact of Research Task Force Citation for Research Impact among Finance Nobel Laureates such as Black-Scholes, 2008)
      2. Malhotra, Y., Why Knowledge Management Systems Fail? Enablers and Constraints of Knowledge Management in Human Enterprises. In Holsapple, C.W. (Ed.), Handbook on Knowledge Management 1: Knowledge Matters, Springer-Verlag, Heidelberg, Germany, 577-599, 2004.
  7. Malhotra, Y., Is Knowledge the Ultimate Competitive Advantage?. Business Management Europe , September, 2003, Q3/4, pp. 66-68. 
    (Cover Story Focus on Interview with Business Management Europe)
    . [HTML]
  8. Malhotra, Y., Is Knowledge the Ultimate Competitive Advantage?. Business Management Asia, September, 2003, Q3/4, pp. 67-69. 
    (Cover Story Focus on Interview with Business Management Asia)
    . [HTML]
  9. Malhotra, Y., The Knowledge Application Gap in Information Systems Research & Education and their Quest for the Dependent Variable. Information Resources Management Journal, Volume 16, Issue 2, April-June 2003, pp. i-vii. 
    (Invited Editorial by Information Resources Management Journal)
    .
  10. Malhotra, Y., Information Ecology and Knowledge Management: Toward Knowledge Ecology for Hyperturbulent Organizational Environments, Encyclopedia of Life Support Systems (EOLSS), UNESCO/Eolss Publishers, Oxford, UK (10,607 words), 2002 [Electronic re-publication in EOLSS, 2008]. [PDF]
    (Invited Expert Paper published by the United Nation's United Nations Educational, Scientific and Cultural Organization (UNESCO) global panel of Nobel Laureates and other Laureates.
    )
  11. Malhotra, Y., Knowledge Management: The Supply Chain Nerve Center. Inside Supply Management, Institute for Supply Management, July 2002, pp. 34-43 
    (Cover Story Focus on Interview with Inside Supply Management, global membership publication of the Institute for Supply Management)
    .
  12. Malhotra, Y., Enabling Next Generation e-Business Architectures: Balancing Integration and Flexibility for Managing Business Transformation. Intel Corporation, Portland, Oregon. Summer 2001. 
    (Expert Paper invited by the Intel Corporation)
    .
  13. Malhotra, Y., From Information Management to Knowledge Management: Beyond the 'Hi-Tech Hidebound' Systems. In K. Srikantaiah & M.E.D. Koenig (Eds.), Knowledge Management for the Information Professional. Medford, N.J.: Information Today Inc. 37-61, 2000.
    (Invited Expert Paper for American Society for Information Science and Technology monograph.)
  14. Malhotra, Y., Intellectual Capitalism: Does KM=IT? Three Myths That Can Derail Your IT & KM Investments. CIO Enterprise, Sep. 15, 1999.
    (Interview by the CIO Enterprise Flagship Publication of CIO.com.)
  15. Malhotra, Y., Deciphering the Knowledge Management Hype. Journal for Quality & Participation, July-August, 1998.
    (Invited among Herbert Simon and Ikujiro Nonaka by the administrator of Malcolm Baldrige National Quality Program Awards, American Society for Quality, as contributor to Knowledge Management journal special issue of the Journal for Quality and Participation..
    )
  16. Malhotra, Y., Knowledge Management, Knowledge Organizations & Knowledge Workers: A View from the Front Lines. Maeil Business Newspaper, South Korea, February 19, 1998.
    (Interview by the Knowledge Management editor of the largest Korean business newspaper Maeil Business Newspaper (Circulation: over 1 Million readers).
    )
  17. Malhotra, Y., Virtual Corporations, Human Issues & Information Technology. Training & Development, American Society for Training and Development (ASTD), Feb. 1, 1997. (Interviewed among other Virtual Organization pioneers such as Hatim Tayabji, Chairman & CEO of Verifone.)
    (Interview by the American Society for Training and Development (ASTD) Flagship publication Training & Development.)
  18. Malhotra, Y., Current Business Concerns and Knowledge Management. Times of India, 1997.
    (Interview by the Times of India.)

Digital Assets, Markets & Exchanges:
Financial Risk, Model Risk, Enterprise Risk, Operational Risk, Strategic Risk, Systemic Risk & Cyber Risk Management

  1. Malhotra, Y., Is Knowledge Management Really an Oxymoron? Unraveling the Role of Organizational Controls in Knowledge Management, In D. White (Ed.), Knowledge Mapping and Management, Hershey, PA: Idea Group Publishing, 1-13, 2002.
  2. Malhotra, Y., Organizational Controls as Enablers and Constraints in Successful Knowledge Management Systems Implementation.  In Y. Malhotra (Ed.), Knowledge Management and Business Model Innovation. Hershey, PA: Idea Group Publishing, 326-336, 2001. (reprint)
  3. Malhotra, Y., Role of Organizational Controls in Knowledge Management: Is Knowledge Management Really An 'Oxymoron'. In Y. Malhotra (Ed.), Knowledge Management and Virtual Organizations. Hershey, PA: Idea Group Publishing, 245-257, 2000.

Digital Assets, Markets & Exchanges:
Financial Risk, Model Risk, Enterprise Risk, Operational Risk, Strategic Risk, Systemic Risk & Cyber Risk Management

  1. Malhotra, Y., Desperately Seeking Self-Determination: Key to the New Enterprise Logic of Customer Relationships, Process Automation Track, Customer Relationship Management Mini-track. Proceedings of the Americas Conference on Information Systems, AMCIS 2004, New York, New York.
  2. Malhotra, Y. and Galletta, D.F., Role of Commitment and Motivation in Knowledge Management Systems Implementation: Theory, Conceptualization, and Measurement of Antecedents of Success, Proceedings of the Hawaii International Conference on Systems Science, January 2003, January 6-9, 2003, IEEE, Hawaii.
  3. Malhotra, Y., Role of Organizational Controls in Knowledge Management: From Constraints to Enablers. Proceedings of the Information Resource Management Association International Conference, Knowledge Management Track, Anchorage, Alaska, May 20-24, 2000.
  4. Malhotra, Y., and, Galletta, D.F., Extending the Technology Acceptance Model to Account for Social Influence: Theoretical Bases and Empirical Validation. Proceedings of the Hawaii International Conference on System Sciences (HICSS 32), 6-19, January, 1999, IEEE, Hawaii.
  5. Malhotra, Y., Knowledge Management in Inquiring Organizations. Proceedings of the 3rd Americas Conference on Information Systems, Indianapolis, IN, August, 1997. Related Working Papers: Role of Information Technology in Managing Organizational Change and Organizational Interdependence (1993). Organizational Learning and Learning Organizations: An Overview (1996).
  6. Malhotra, Y., Theoretical & Empirical Redefinition of Information Systems Acceptance & Information Systems Usage. Proceedings of the Academy of Management Meeting, Technology and Innovation Management / Organizational Communication and Information Systems Doctoral Consortium, Boston, MA, August, 1997.
  7. Malhotra, Y., Reassessing and Clarifying Information Systems Acceptance and Usage. Proceedings of the 3rd Americas Conference on Information Systems, Doctoral Consortium, Indianapolis, IN, August, 1997. [Related Working Papers on Measurements & Methods in Business Intelligence: An Analogy to a Competitive Intelligence Program: Role of Measurement in Organizational Research (1993). Competitive Intelligence Programs: An Overview (1996).]
  8. Malhotra, Y., Bringing the Adopter Back Into the Adoption Process: A Personal Construction Framework of Information Technology Adoption. Proceedings of the Academy of Management, Technology and Innovation Management, Boston, MA, August, 1997. (Abstract)
  9. Malhotra, Y., and, Kirsch, L.J., Personal Construct Analysis of Self-Control in IS Adoption: Empirical Evidence from Comparative Case Studies of IS Users & IS Champions. Proceedings of the First INFORMS Conference on Information Systems and Technology, 105-114, Washington, DC, May, 1996.
  10. Malhotra, Y., IS Productivity And Outsourcing Policy: A Conceptual Framework and Empirical Analysis. Proceedings of the Inaugural Americas Conference on Information Systems, 142-144, August, Pittsburgh, PA, 1995. [Related Conference Paper: IS Productivity And Outsourcing Policy: A Conceptual Framework and Empirical Analysis. Proceedings of Inaugural Americas Conference on Information Systems (Managerial Papers), Association for Information Systems, Pittsburgh, Pennsylvania, August 25-27, 1995, pp. 142-144. Related Working Paper: An Empirical Analysis of the Determinants of Information Systems Productivity and the Role of Outsourcing Policy (1995).]
  11. Malhotra, Y., and Erickson, R.E., MPC: An Evolving Standard in Multimedia Education. Educational Multimedia and Hypermedia Annual, Proceedings of ED-MEDIA 93: Educational Multimedia and Hypermedia, AACE, Charlottesville, VA, 324-331, August, 1993.

Digital Assets, Markets & Exchanges:
Financial Risk, Model Risk, Enterprise Risk, Operational Risk, Strategic Risk, Systemic Risk & Cyber Risk Management

  1. Malhotra, Y., Knowledge Management for E-Business Performance: Advancing Information Strategy to “Internet Time”. ICFAI Journal of Systems Management (India), August, 2003. 
  2. Malhotra, Y., Knowledge Assets in the Global Economy: Assessment of National Intellectual Capital. In F. Tan (Ed.), Advanced Topics in Global Information Management. Hershey, PA: Idea Group Publishing, 2002, pp. 329-345. 
  3. Malhotra, Y., Knowledge Assets in the Global Economy: Assessment of National Intellectual Capital. In V. Sugumaran (Ed.), Intelligent Support Systems Technology. Hershey, PA: Idea Group Publishing, 2002, pp. 22-42.  
  4. Malhotra, Y., Knowledge Management and New Organization Forms: A Framework for Business Model Innovation. In M. Khosrowpour (Ed.), Advanced Topics in Information Resources Management, (Advanced Topics in Information Resources Management Series, Vol. 1), Hershey, PA: Idea Group Publishing, 1-18, 2002.  
  5. Malhotra, Y., Business Process Redesign: An Overview. ICFAI Journal of Operations Management (India), November, 2002. 
  6. Malhotra, Y., Knowledge Assets in the Global Economy: Assessment of National Intellectual Capital.  In Y. Malhotra (Ed.), Knowledge Management and Business Model Innovation. Hershey, PA: Idea Group Publishing, 2001, p. 232-249.
  7. Malhotra, Y., Knowledge Management for E-Business Performance: Advancing Information Strategy to 'Internet Time'.  In Y. Malhotra (Ed.), Knowledge Management and Business Model Innovation. Hershey, PA: Idea Group Publishing, 2-15, 2001.
  8. Malhotra, Y., Knowledge Management and New Organization Forms: A Framework for Business Model Innovation. In Y. Malhotra (Ed.), Knowledge Management and Virtual Organizations. Hershey, PA: Idea Group Publishing, 2-19, 2000.
  9. Malhotra, Y., Knowledge Management for E-Business Performance: Advancing Information Strategy to 'Internet Time'. Journal of Production Engineering (South Korea), 3(8), 2000, 46-55. [Published in Korean language]


Sample of Global Management Consulting Clients

Global and National Honors for Global CxO Practices Leadership -
CxO Think Tank - CxO Practices - CxO Guidance - CxO Keynotes

Includes strategic partnerships based upon invitation by the other party.
(USA, North America, Europe, Asia)

Arthur Andersen Consulting (Accenture) (Managing Partners & Founders)
Bank of America
Banque Indo-Suez (Hong Kong)
British Telecom (UK)
Conference Board
Emerald Group Publishing (UK)
European Bank Merger (European Union)
Google
Government of Mexico (Mexico: National Cabinet)
Government of Netherlands (Netherlands: National Cabinet)
Harvard Business School
Hewlett-Packard
IBM
Institute for Supply Management
Intel Corporation
JP Morgan
Knowledge Management Consortium International (Board of Directors)
Maeil Business TV Network & Newspaper (S. Korea)
Microsoft
MIT
National Science Foundation
Northrop Grumman Corporation
Ogilvy & Mather
Royal Philips Electronics N.V. (Netherlands)
Siemens AG
Silicon Valley Venture Capitalists and Tech CEOs
Tata Group (India)
Turkish Steel Conglomerate
U.S. Federal Government
Unisys Corporation
United Nations (World Headquarters)
UPMC
Vision Korea Campaign (S. Korea)
Wall Street Investment Bank(s)
Xerox
Ziff Davis

Global Recognition for Leadership of Hi-Tech Digital Transformation & Analytics Practices

To see a more complete list, please click here. A small sample is listed below.

Princeton Quant Trading Conference: Future of Finance Beyond 'Flash Boys': Cyber Finance
- (Invited Research Presentation on Computational Quantitative Risk Analytics, Apr 4, 2015)
Conference Sponsors: Princeton University Bendheim Center & ORFE, Citadel, KCG.

United Nations World Headquarters Global Economist Expert Panel
- 1 of 4 Global Expert Economists Leading the Global Panel on National Knowledge Assets

National Science Foundation National Computer Scientist Expert Panels
- 32 National Expert Panels of Computer Scientists for Multi-Million $ US Federal SBIR/STTR Grants

Carnegie Mellon University & Kellogg School of Management, Invited Executive Education Faculty
INSEAD (France) & Queen's University (Canada), Invited Keynotes & Research Lectures

AACSB 'exemplar' of 'considerable impact on practice' among Finance Nobel laureates
- Final Report of the AACSB International Impact of Research Task Force


Top 50 Worldwide Business & Economics Researchers of All Time
- Ranked in Scientific Impact Studies: University of Minnesota, Drexel University, ASIS&T
- Known for developing Global Discipline & Practice of Knowledge Management

Top Computer Sc., IT/OR/Economics journals & conferences: ACM, IEEE, IBM
- Invited Technical, Computing & Quantitative Modeling Expert Reviewer


Conference Board, Top CxOs, Invited Thought Leader & Keynote Speaker

Institute for Supply Management, Global Membership, Invited Thought Leader

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


US Federal Government & Federal Agencies, Invited Council Partner

Silicon Valley Venture Capitalists and CEOs, Invited Thought Leader & Keynote Speaker

Intel Corporation Corporate Strategy: Next Generation e-Business Architectures
- Invited Research Grant & Expert Paper

United Nations World Headquarters: Global Expert Panel of Economists
- Invited Research Grant & Expert Paper

Philips Electronics (Netherlands)
- Corporate Level Global e-Business and Technology KM Strategy for Head of Firm

British Telecom (UK), Invited Thought Leader & Expert Vision Paper


Government of Mexico (Mexico City), Parliament / Cabinet, Invited Thought Leader & Keynote Speaker

South Korea (Seoul), National Vision Korea Campaign, Invited Thought Leader & Keynote Speaker

Government of Netherlands, Parliament / Cabinet, Invited Thought Leader

Top CxOs and Commanders of US Army, Navy, Air Force, Marine Corps
Consistently and actively apply Dr. Malhotra's research and practices:
To define and execute global & national cyberspace and defense strategies. E.g.:

Air Force Research Lab CIO Col. Tom Hamilton
Keynote to Armed Forces Communications Electronics Association, 2005.

US Department of the Navy Chief Information Officer
Metrics Guide for Knowledge Management Initiatives, 2001.

NASA CIO Paul Strassmann
Reviewed his expert paper as "critical and definitive examination of KM measurement."

US Air Force Colonel Roc A. Myers
Harvard University thesis as Air Force National Defense Fellow, 1997-98.

US Department of Army
Army Knowledge Symposium, 2002.
Examples of Known Influence of Work on other Global Leader CxOs
- Technology: Microsoft Founder Chairman & CEO Bill Gates
- Consulting: PwC Vice-Chairman and CKO Ellenn Knapp
- Banking: Goldman Sachs CxO & Top Executives

Wall Street Journal, CIO Magazine, CIO Insight, etc.
- Invited interviews in prestigious business and technology press

New York Times, Fortune, Forbes, Business Week, Computerworld, Information Week , etc.
- Rave reviews in prestigious business and technology press

Published Research: Top-2 journals, ACM/IEEE Journals & Proceedings
- Applied by global organizations such as NASA and World's Top Banks.


Examples of Known Influence on World's Most Prestigious Institutions
- Harvard & Princeton University Libraries reviewed work as standard reference
--- Such as edited / authored books on Digital Business Model Innovation
- Harvard Business School Professors reviewed work to teach Harvard MBAs
- Stanford
University, University of California Berkeley, Wharton, etc.
--- Such as National Information Infrastructure & KM Research


Other Examples of Global Invitations of Thought Leadership & Collaborative Work
(Invitations received but not availed due to prior commitments.)
- M&A & IPO Invitations, US Venture Capital & IT Firms
- Harvard University, Editorial Leadership of Harvard Business Review Digital Version
- Queen's University, Canada, Fulbright-Queen's University Visiting Research Chair
- National Science Foundation of China (China NSFC), January, 2008
- - - Leadership of China's National Information Infrastructure Research
- - - In affiliation with Fudan University: National Key Project of China: 2009.1-201212
- National Science Foundation (NSF), USA, NSF research on Knowledge Management

- National Keynote Presentation on Knowledge Management, India
- - - Oil and Natural Gas Corporation Limited, India (ONGC),
- - - Expert Keynote Presentation for national event featuring the Prime Minister of India
- National Keynote Presentation on Knowledge Management, USA
- - - US Department of State, Expert Keynote Presentation on Knowledge Management
- National Keynote Presentation on Knowledge Management, Australia
- National Keynote Presentation on Knowledge Management, Saudi Arabia

Global Recognition for Leadership of Hi-Tech Digital Transformation & Analytics Practices

Advancement of Hi-Tech Risk Modeling & Risk Analytics in Top-Tier Research Academia

  • Snyder Innovation Management Center Research Grant, Syracuse University, 2003, 2004, 2005, 2008
  • Brethen Operations Management Institute Research Grant, Syracuse University,2005
  • Martin J. Whitman School of Management Research Grant, Syracuse University, 2003, 2004, 2005
  • Center for Creation and Management of Digital Ventures Research Grant, Syracuse University, 2003, 2004
  • Martin J. Whitman School of Management Innovation Grant, Syracuse University, 2004
  • Kaufman Foundation, LLEEP Entrepreneurship Innovation Grant, Syracuse University, 2003
    • Certified as University Entrepreneurship Teaching Faculty, Kaufman Foundation, LLEEP
  • SAP University Alliance, SAP ERP/CRM Innovation Grants, Syracuse University, 2003
    • Certified as University SAP ERP Teaching Faculty, SAP CRM Teaching Faculty, SAP University Alliance
  • PhD Beta Gamma Sigma National Honors for Academic Excellence, University of Pittsburgh, 1998
  • Academy of Management, Organizational Communication & Information System (OCIS), First Best Reviewer Award, 1997
  • Academy of Management Doctoral Consortium Fellow, Technology & Innovation Management / OCIS, University of Pittsburgh, 1997
  • Association for Information Systems Doctoral Consortium Fellow, University of Pittsburgh, 1997
  • PhD Doctoral Research Fellowship and Full Scholarship, University of Pittsburgh, 1993-1998.

Invited CxO Keynotes & Expert Panels

Vision Korea Campaign Keynotes
Yogesh Malhotra among other 'Vision Korea' National Campaign Keynote Speakers in Seoul, South Korea:
Charles Lucier of Booz Allen Hamilton, David Snowden of IBM, Robert H. Buckman of Buckman Labs,
Hubert Saint-Onge
of Canadian Imperial Bank of Commerce, Ikujiro Nonaka of UC Berkeley

Invited Keynotes

  1. Princeton University, Princeton Quant Trading Conference, “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,” Invited Research Presentation, Princeton, New Jersey, April 16, 2016. Invited by the organizing committee of the Princeton Quant Trading Conference to share recent technical research on Offensive Cybersecurity-Financial Risk Management, Quant Algorithmic Trading, and Quantitative Finance. Conference sponsors included Princeton University, Goldman Sachs, SIG.

  2. Princeton University, Princeton Quant Trading Conference, “ Future of Finance Beyond 'Flash Boys': Risk Modeling for Managing Uncertainty in an Increasingly Non-Deterministic Cyber World,” Invited Research Presentation, Technical Quantitative Finance & Econometrics Track, Princeton, New Jersey, April 4, 2015. Invited by the organizing committee of the Princeton Quant Trading Conference to share recent technical research on Defensive Cybersecurity-Financial Risk Management, Quant Algorithmic Trading, and Quantitative Finance. Conference sponsors included Princeton University, Citadel, KCG Holdings.

  3. New York State Cyber Security Conference, Empire State Plaza, Albany, NY, “Advancing Beyond Predictive to Anticipatory Risk Analytics: CyberFinance: Why Cybersecurity Risk Analytics Must Evolve to Survive 90% of Emerging Cyber Financial Threats, and, What You Can Do About It?,” Invited Research Presentation, Finance Sector Track, Research Presentation at the 19th New York State Cyber Security Conference Presentation, Albany, NY, June 8-9, 2016, Empire State Plaza, Albany, NY. Conference sponsored by the New York State Governor and New York State Office of Information Technology.

  4. United Nations, “Measuring National Knowledge Assets: Conceptual Framework and Analytical Review,” Invited Keynote Presentation, United Nations Department of Economic and Social Affairs Division for Public Administration and Development Management, New York City, New York, September 4, 2003. Invited by the UN to participate as the leading global expert on Asset Pricing and Measurement of National Knowledge Assets and one of four global experts on Knowledge Economics.

  5. Conference Board, “Managing Knowledge for e-Business Performance”, Leading New Economy Workplaces Conference, New York City, New York, May 16-17, 2001. Served as Advisory Board Member among John Seely Brown, Chief Scientist, Xerox; Pehong Chen, President, BroadVision; Tom Davenport, Director, Institute for Strategic Change, Accenture; Clement Mok, Chief Creative Officer, Sapient; and, Thornton May, Corporate Futurist, Guardent.

  6. Vision Korea Campaign, “Knowledge Management for the New Digital Economy,” Invited Opening Plenary Keynote Presentation, 4th Knowledge Management Academic Symposium, Korea Knowledge Management Society, Seoul, South Korea, May 13, 2000. Invited to deliver the plenary keynote to South Korea’s 400 national leaders and CxOs from the top corporations and university research academia leading the development of South Korea as a Knowledge Economy. Other Keynote Speakers in this National South Korean Keynote series included CxOs such as Charles Lucier, Chief Knowledge Officer of the strategy consulting firm Booz Allen Hamilton.

  7. KMWorld, “Knowledge Management for High Performance e-Enterprises: Business Strategy and Technology for 'Internet Time'”, KMWorld 2000, Santa Clara (Silicon Valley), CA, Sep. 12-Sep. 15, 2000. Invited to address Silicon Valley venture capitalists and CxOs as the founder and developer of digital ventures renowned for global thought leadership of worldwide CxOs on digital innovation of hi-tech business models and national economies.

  8. Government of Mexico, “Knowledge Management and Transformation of the Government: Opportunities and Challenges,” Invited Opening Plenary Keynote, Tecnologías de la información para el desarrollo de la Administración Pública, World Trade Center, Mexico City, Mexico, September 28, 1999. Invited to deliver the opening plenary keynote to the leading Cabinet Ministers of the Parliament of Mexico, 13 National Chief Information Officers, and 600 top IT Executives in the Government of Mexico. The other plenary keynote was given by the global head of G8 Electronic Governments reporting to UK Prime Minister Tony Blair.

  9. The Indus Entrepreneurs (TiE Global, Silicon Valley), “Growing Business Enterprises on the Net: The Way of the Wild Wild Web,” Invited Opening Plenary Keynote, Cerritos, CA, April 21, 1999. Invited to deliver the plenary keynote to Silicon Valley venture capitalists, CxOs and IT entrepreneurs at the annual event organized by the leading Silicon Valley venture capitalists and angel investors organization, Silicon Valley based TiE Global, and hosted by Mr. Safi Qureshey, the co-founder and former CEO of AST Research, Inc., a personal computer manufacturer acquired by Samsung Electronics in 1997. Invited to apparently substitute for Guy Kawasaki, the Silicon Valley venture capitalist and chief evangelist of Apple Computer, who had reported 'plane engine trouble.' The other plenary keynote was by the founder of Silicon Graphics.

  10. Conference Board, “Beyond TQM & BPR: Leveraging Knowledge and Information Technology for Business Performance,” Invited Opening Plenary Keynote, Conference Board U.S. Quality Council, Executive Council of Global Center for Performance Excellence, Fort Lauderdale, FL, February 24, 1999. Invited to address CxOs of US corporations recognized as the winners of the Malcolm Baldrige National Quality Award.

  11. Annual Knowledge Management World Summit, “Toward Knowledge Management that Makes Sense: Making Business Sense of Information &Technology,” Invited Keynote Presentation, BrainTrust '99, San Francisco, CA, January 11-13, 1999. Other keynote presenters such as Kenneth T. Derr, Chairman and CEO of Chevron Corporation.
Invited Expert Panels

  1. National Science Foundation, National Expert Panel of Computer Scientists, Web Computing, Cyber Computing &Cyber Security, Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) Phase II ($500K per proposal), Arlington, Virginia, March 3 - March 16, 2005.
  2. National Science Foundation, National Expert Panel of Computer Scientists, Web Computing, Cyber Computing, Cyber Security, Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) Phase II ($500K per proposal), Arlington, Virginia, Arlington, Virginia, April 5 - May 4, 2004.
  3. National Science Foundation, National Expert Panel of Computer Scientists, Web Computing, Cyber Computing & Cyber Security, Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) Phase II ($500K per proposal), Arlington, Virginia, 2003.
  4. National Science Foundation, National Expert Panel of Computer Scientists, Web Computing, Cyber Computing & Cyber Security, Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) Phase II ($500K per proposal), Arlington, Virginia, August 10 - September 25 and October 3 - October 22, 2002.
  5. United Nations, “Knowledge Systems for Development,” Global Expert Panel of Economists, Ad Hoc Group of Experts Meeting, United Nations Department of Economic and Social Affairs United Nations Division for Public Administration and Development Management , New York City, New York, September 4-5, 2003.
  6. Vision Korea Campaign, “Knowledge Management for the New Digital Economy,” National TV Interview, Maeil Business TV & Newspaper, Seoul, South Korea, May 2000.
  7. Vision Korea Campaign, “Diagnosis of Korean Firms' Present Situation of Knowledge Management and Tasks in the Future,” Expert Panel, Korea Knowledge Management Society, Seoul, South Korea, May 13, 2000.
  8. Government of Mexico, “Knowledge Management and Transformation of the Government,” Expert Panel, Tecnologías de la información para el desarrollo de la Administración Pública, Mexico City, Mexico, Sep.28, 1999. The panel was composed of the key national cabinet ministers from the Mexico Parliament and the 13 CIOs representing the Government of Mexico.
  9. Government of Netherlands, “Knowledge Management for Guiding the Reorganization of National Educational, Technological and Institutional Infrastructures,” Advisory Panel, Dutch Ministry of Education, Culture and Science, Government of Netherlands, June, 1998.
  10. United States Federal Government, Council Partner, Inter-Agency Benchmarking & Best Practices Council, U.S. Federal Government, 1996-1998.
  11. Indian Institute of Technology, New Delhi, India, "E-Business and Knowledge Management: Up Close and Personal Looking Forward by Looking in the Rear View Mirror." Invited Editorial on the Inauguration and Launch of Indian Institute of Technology's Global Journal of e-Business and Knowledge Management.

Quantitative Models & Quantitative Methods Validation Review Panels
Economics, Decision Sciences, Operations Research, & Information Sciences

Academy of Management's Best Reviewer Award
- Structural Quantitative Modeling Article Best Paper Review

Editorial Reviewer Referee Panels of Tier-1 Research Journals
- 100+ Quantitative Statistical Modeling Reviews
- Structural Equation Models, Econometric Models, Regression Models, etc.
- For Research Publications such as:

Cambridge University Press, Harvard Business School Publishing

UN Global Economic Policy Expert Panel
United Nations World Headquarters, New York City, New York

- Invited Expert Paper on Quantitative Measurement of National Assets
- Invited Plenary Keynote on Quantitative Measurement of National Assets
- 1 of 4 Global Economists on
Global Expert Panel of 4 Economists
- 1 of 2 US Economists leading the Global Expert Panel
-- Among: Northwestern University Economics Department Chair

Research Monograph Reviews

Invited Editorial Review Panels
  • 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

Research Journal Paper Reviews

Associate Editor

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

International Editorial Advisory Boards

  • 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

  • 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

  • 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

Research Conference Paper Reviews

Editorial Review Panels

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

U.S. National Science Foundation SBIR/STTR Grants
Cyber Computing & Cyber Security Expert Reviewer Panels

Phase I ($100K Per Proposal) and Phase II ($500K Per Proposal)


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

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

Permission is explicitly granted by the listed sole or primary author to reference or use any of the research frameworks, instruments, measures, and models in any of above papers by following appropriate norms of attribution of original sources.

 

 

 

 

"It is this "true" uncertainty, and not risk, as has been argued, which forms the basis of a valid theory of profit and accounts for the divergence between actual and theoretical competition... It is a world of change in which we live, and a world of uncertainty...If we are to understand the workings of the economic system we must examine the meaning and significance of uncertainty; and to this end some inquiry into the nature and function of knowledge itself is necessary."
-- Frank H. Knight
in
Risk, Uncertainty, and Profit
(Boston, MA: Hart, Schaffner & Marx; Houghton Mifflin Co), 1921.

'Knight Reconsidered':
Risk, Uncertainty, and Profit for the Cyber Era

(Ithaca, NY: Global Risk Management Network, LLC), 2015.

CIO MagazineRisk, Uncertainty, and Profit: Frank Knight

 

"The new business model of the Information Age, however, is marked by fundamental, not incremental, change. Businesses can't plan long-term; instead, they must shift to a more flexible "anticipation-of-surprise" model."
-- Yogesh Malhotra in CIO Magazine interview "Does KM=IT?", September 15, 1999.


The real world has been preparing to tackle Model Risks and Black Swans through 'anticipation of surprise' by 'effective challenge of models' for over a decade. How about you ?


 

Rethinking Risk & Controls for Managing Knightian Uncertainty & Complexity (Malhotra, 2005)

Source:Malhotra, Yogesh, On Rethinking Risk & Controls for Managing Knightian Uncertainty & Complexity, 2005.
[Among other Pioneers of Knowledge Management Global Research & Practices]

"...To begin with, I think that we need to develop a broad-based understanding about knowledge management as the new model of management of systems, processes, and related dynamics. Such a model for anticipating and managing faster, less predictable, and complex changes seems necessary given the demands imposed by the business environment of the knowledge economies... More than any other area of management practice or discipline, the paradigm of information systems based predictive models founded upon the key premise of deterministic control requires fundamental re-thinking to effectively serve the needs of knowledge management. Resolution of such problems is critical to the future of societies, enterprises, and governments that are increasingly dependent upon information and communication technologies..." More...



"Interestingly, a review of best-selling literature on successful practices in one of the most technical, numbers driven, globally popular area of financial markets provides some perspective about managing information in most unpredictable, radically changing environments that defy prediction, pre-determination and control. Despite the recognized importance of fundamental, technical, structural, and human aspects of such practices, it is well recognized that in the final analysis human elements often determine the sustained success or failure in such environments."
More...

Knowledge Management Common Body of Knowledge KM-CBK™ (Release 1.0)
Working Knowledge for Executives and Managers

 

"The very essence of what various IT systems can do in the context of KM begins and ends with people and processes. In absence of motivation and commitment on the part of the users, such systems cannot function."
-- Yogesh Malhotra in CIO Insight interview, July 1, 2004.


The world of Global Finance has been moving beyond Model Risks attributed to VaR since the Global Financial Crisis. Are your risk management models up-to-date?

 

 


CIO Insight

"KM is obsoleting what you know before others obsolete it and profit by creating the challenges and opportunities others haven't even thought about."

-- Yogesh Malhotra, Interview in Inc. Technology (#3, 1999)

The Future of Risk is here with latest Quantitative and Computational Methodologies & Techniques! Are you up to speed with Risk Management, Risk Modeling & Controls Frameworks for the post-WWW era of unprecedented global connectivity, information intensity & velocity developed right here and adopted by worldwide firms and governments.

 

 

 

Inc.

"Yogesh Malhotra says his vision is to fill the gaps between business and technology, data and knowledge, and, theory and practice. That's an ambitious undertaking."

-- Yogesh Malhotra, Interview in Fortune, Special Issue on the Knowledge Economy, 1998

Next Generation Computing and Statistical Probabilistic Methods are now a real world reality! It is more about 'Big Meaning' and 'Smart Decisions' rather than 'Big Data'! After the dust settles, those using 'Smart Decisions' and 'Big Meaning' are expected to outlast others who may only have the commodity called 'Big Data.' Are you prepared?

 

 

 

Fortune

"Knowledge Management caters to the critical issues of organisational adaption, survival and competence in the face of increasingly discontinuous environmental change ... Essentially, it embodies organisational process that seek synergistic combination of data and information processing capacity of information technologies and the creative and innovative capacity of human beings."

-- Yogesh Malhotra, Interview with The Wall Street Journal (Feb., 1997)

Next Generation Quantum Computing Capabilities on the cusp will ‘Stress Test’ your Models, Systems, and Networks like never before. Are you aware which of them will withstand the onslaught of the qubit revolution?

 

 

WSJ

"A viable competitive strategy seems to be one that is based upon making your own knowledge obsolete before it is obsolesced by the competition or the environment."


- Yogesh Malhotra in Business Standard (India) interview, 2007.

More on World Leading Hi-Tech Research Defining World Leading Global Finance & Risk Management Practices

 

 

Business Standard

 

2015-2017: 41 SSRN Top-10 Research Rankings: Top-10% SSRN Authors:
AI & Decision Modeling; Algorithms & Machine Learning:
SSRN Top-10 Research Ranking Categories:
• Capital Markets,
• Cognition in Mathematics, Science, & Technology,
• Computational Biology,
• Computational Techniques,
• Computing Technologies,
• Corporate Governance: Disclosure, Internal Control, & Risk-Management,
• Cyberlaw,
• Decision-Making under Risk & Uncertainty,
• Econometric & Statistical Methods,
• Econometric Modeling,
• Econometrics,
• Hedging & Derivatives,
• Information Systems & Economics,
• Interorganizational Networks & Organizational Behavior,
• Mathematical Methods & Programming,
• Microeconomics,
• Operations Research,
• Risk Management,
• Risk Management Controls,
• Risk Modeling,
• Social Network Analysis,
• Stochastic Models,
• Systemic Risk,
• Telecommunications & Network Models,
• Uncertainty & Risk Modeling,
• VaR Value-at-Risk.
Other Categories:
• Banking & Insurance
• Cultural Anthropology,
• Economics of Networks,
• Innovation Law & Policy,
• Mutual Funds, Hedge Funds, & Investment Industry,
• Sociology of Innovation

Recent Research Presentations and Research Reports
*Princeton University Presentations on the Future of Finance: 'Rethinking Finance' for Era of Global Networked Digital Finance.
*2016 Princeton Quant Trading Conference Invited Research Presentation: Beyond Stochastic Models to Non-Deterministic Methods.
*2015 Princeton Quant Trading Conference Invited Research Presentation: Beyond Risk Modeling to Knightian Uncertainty Management.
*Beyond 'Bayesian vs. VaR' Dilemma to Empirical Model Risk Management: How to Manage Risk (After Risk Management Has Failed).
*Markov Chain Monte Carlo Models, Gibbs Sampling, & Metropolis Algorithm for High-Dimensionality Complex Stochastic Problems.
*Risk, Uncertainty, and Profit for the Cyber Era: 'Knight Reconsidered': Model Risk Management of Cyber Risk Insurance Models.
*Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: ERM to Model Risk Management.
*Number Field Sieve Cryptanalysis Algorithms for Most Efficient Prime Factorization on Composites: Beyond Shannon's Maxim.
* Bitcoin Protocol & Bitcoin Block Chain: Model of 'Cryptographic Proof' Based Global Crypto-Currency & Electronic Payments System.
*2015-2016 40 SSRN Top-10 Research Rankings for Computational Quantitative & Risk Analytics Algorithms Machine Learning Research.
* 2008 AACSB International Impact of Research Report: Named 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
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
Quantitative Finance, Quantitative Risk Analytics & Risk Management Projects Impact
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
40 SSRN Top-10 Rankings: Computational Quant Analytics: Algorithms, Methods & Models
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