World Leading Hi-Tech Research Defining World Leading Computational, Quantitative & Risk Analytics Practices
Global Risk Management Network, LLC, 757 Warren Rd, Cornell Business & Technology Park, Ithaca, NY 14852-4892
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Dr. Yogesh Malhotra
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®

      *

E-mail - LinkedIn

  Global Quant, Cybersecurity, IT-Finance-Risk Management Practices Leaderships
World's Largest Banking & Finance Firms, IT & Telecom Firms, Wall Street CxOs, Silicon Valley CxOs,
National Science Foundation; United Nations; US & World Governments, Economies, Defense Agencies.

*2008: AACSB Research Impact among Finance Nobel Laureates such as Black-Scholes & Harry Markowitz.
*2016 Princeton Quant Trading Conference Invited Post-Doc Presentation: Sponsor: Princeton University.
*2015 Princeton Quant Trading Conference Invited Post-Doc Presentation: Sponsor: Princeton University.
*2015-2016: 39 Top-10 SSRN Rankings: Algorithms, Machine Learning, Computational Quant Analytics.
2015-2016 Invited Post-Doc Presentations at Princeton University: 39 Top-10 SSRN Research Rankings.
Global Thought Leadership spanning Silicon Valley to Seoul and all the continents in between.
Global impact of Research & Practices across most nations of the world.

AACSBAACSB logo

Research Impact recognized among Nobel laureates in business press, industry surveys & scientific 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 in Wall Street Journal, New York Times, Fortune, Fast Company, Forbes, Business Week, CIO, CIO Insight, Computerworld, Information Week, etc.

*Projects *Goldman Sachs *JP Morgan *Wall Street Hedge Funds *Princeton Presentations *Model Risk Arbitrage *Cyber Finance *Cyber Risk Insurance * Ventures
*Bayesian vs. VaR *Markov Chain Monte Carlo Models *Mobile Trust Models * Pen Testing Frameworks *Bitcoin Cryptanalytics *NFS Cryptanalytics Algorithms
*Research Impact *Future of Finance *Beyond VaR *Model Risk Management *SR11-7 *OCC2011-12 *Future of Risk *Cyber Risk *SSRN *Google Scholar *Publications

[Algorithms & Machine Learning] [CyberSecurity Risk Engineering] [Computational Quantitative Analytics] [Risk Analytics Ventures] [Worldwide Impact on Practices]


EXECUTIVE PROFILE
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Top-10 PhD Global Quant, Cybersecurity, IT, Finance & Risk Management Practices Leader for top Wall Street investment banks, Big-3 Finance & IT Firms, Big-4 CxOs, and, US and World Governments. Founder, FinTech ventures with CxO clients-patrons such as Goldman Sachs, Google, Harvard, IBM, Intel, JP Morgan, Microsoft, MIT, & Princeton. World impact of research recognized among Nobel laureates in business press, industry surveys, & scientific studies.

20-Yr. Global Practices Leadership for National & Global Information Infrastructures including Cybersecurity, Banking & Finance, Engineering, Healthcare, &, IT Systems, Computational Quant Analytics, Telecom-Network Security, Data Science-Software Engineering. Invited advisor across USA, N America, Asia, Europe to global hi-tech firms such as Intel, BT (UK), Silicon Valley VCs & CEOs, US & World Governments, UN, NSF.

Computational Quant Risk Analytics leaderships for midtown Manhattan Wall Street investment banks with $1 Trillion AUM such as JP Morgan in Quantitative Finance, Liquidity Risk, Market Risk, Credit Risk, Financial Econometrics, Large-Scale Data Modeling, Interest Rate Derivatives, Fixed Income & Equity Portfolio Modeling with SAS, MATLAB, C++, MS-Excel, VBA, Bloomberg.

Developed award-winning Computational Quantitative-Risk Analytics ventures with CxO clients & patrons such as Goldman Sachs while invited Executive Education faculty at Carnegie Mellon & Kellogg and Computer Science, Cybersecurity, Quant Methods, IT & Operations Research professor. Currency Arbitrage & Global Financial Systems Software Engineer in Investment Management, Trading & Retail Banking with Big Banks such as Bank of America across USA, Hong Kong & India.

Princeton Post-Doc Computational Quant Presentations
Top-10 PhD IT & Statistics Double Doctorate
Top-14 MS Quantitative Finance
MS Computer Science: AI & Algorithms
MS Network & Computer Security
MS Accountancy
MBA Economics
C.Eng., CISSP, CEH, CISA, PRMIA-QRM, SAS, MATLAB

Dr. Yogesh Malhotra's recent Computational Statistics Cybersecurity and Quant Finance Uncertainty and Risk Analytics Machine Learning Algorithms research presentations titled Beyond Model Risk Management to Model Risk Arbitrage for FinTech Era, and, the Future of Finance Beyond 'Flash Boys' invited for presentations at the 2016 Princeton Quantitative Trading Conference (Spring 2016) and 2015 Princeton Quantitative Trading Conference (Spring 2015) respectively sponsored by the Princeton University pioneered Model Risk Arbitrage, Black Hat Finance, Uncertainty Modeling, and, Cybersecurity Risk Insurance Modeling research and practices.

These presentations followed from his global Banking & Finance and Cybersecurity industry-leading applied post-doctoral research and practices with advisors that included top Hedge Fund and Risk Management leaders of Managing Directors from Wall Street investment banks such as JP Morgan and US national cyber security leaders from the Air Force Research Lab that pre-empted and prevented the Global Insurance Crisis owing to mismeasurement and misestimation of Cyber Risk Insurance Modeling Losses given reliance of worldwide firms upon inappropriate Quantitative Risk Models based upon VaR.

Having examined next-generation computational probabilistic modeling of financial econometric signals processing for global financial markets using computer science algorithms and machine learning, his computational quantitative risk management focus advanced to include global electromagnetic spectrum networks and global networking and encryption protocols. Spanning deterministic, stochastic, and non-deterministic computational statistical modeling methodologies, his current Computer Science, Computational Quantitative Analytics, &, Cybersecurity-Finance applied research focus is on high-dimensionality complex stochastic problems involving computational time complexity and computational space complexity.

 

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 35 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
35 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

AACSB Impact of Research among Finance Nobel Laureates such as Black-Scholes

Scientific Impact Studies Rankings among IT Nobel Laureates and Harvard Professors

CNet Networks Corporate Computing Award for Most Influential Research

Academy of Management Best Reviewer Award for Quantitative Structural & Statistical Models

2015-2016: 39 SSRN Top-10 Research Rankings
ALGORITHMS, MACHINE LEARNING & ECONOMETRICS for COMPUTATIONAL QUANT RISK ANALYTICS
 

    Research selected for 39 SSRN Top-10 Rankings in Computational Quantitative Risk Analytics.
    - SSRN Top-10 Ranking Categories: 
    • Capital Markets, 
    • Computational Techniques, 
    • Corporate Governance, 
    • Cyberlaw, 
    • Decision-Making under Risk & Uncertainty, 
    • Econometric & Statistical Methods, 
    • Econometric Modeling, 
    • Econometrics, 
    • Hedging & Derivatives, 
    • Information Systems & Economics, 
    • Mathematical Methods & Programming, 
    • Microeconomics, 
    • Operations Research, 
    • Risk Management, 
    • Risk Management Controls, 
    • Risk Modeling, 
    • Stochastic Models, 
    • Systemic Risk, 
    • Uncertainty & Risk Modeling, and, 
    • VaR Value-at-Risk.

POST-DOCTORAL RESEARCH & PROESSORSHIPS
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Post-Doctoral Quantitative Finance & Cybersecurity Research Presentations at Princeton University
, 2009-2016
2016 Princeton Quant Trading Conference: Sponsors: Princeton University, Goldman Sachs, Citadel, SIG.
2015 Princeton Quant Trading Conference: Sponsors: Princeton University, Citadel, KCG Holdings.
Post-Doc Research: Quantitative Finance, Cybersecurity, Computer Science, Machine Learning Algorithms

Carnegie Mellon University & Kellogg School of Management Invited Executive Education Faculty

STEM (Science, Technology, Engineering, & Mathematics)  Tenure-Track Professorships:
Computer Science, Cybersecurity, Advanced Analytics, Quantitative Methods, IT & Operations Research


Associate Professor (Promoted) & Assistant Professor of Quantitative Methods
, Tenure Track, 2001-2009
Quantitative Risk & Financial Modeling IT & Operations Research-Supply Chain Management MBA Faculty
Research Impact ranked and profiled among Finance and Information Technology Nobel Laureates in Academic and Business Press.
• Named among 'exemplars'​ of 'considerable impact on actual practice' such as Black-Scholes & Harry Markowitz,
AACSB International Impact of Research Report, 02/2008.
- AACSB International Impact of Research among Finance Nobel Laureates, 2008.

• Invited advisor to BT (UK), Conference Board, National Science Foundation, United Nations, Institute for Supply Management, etc.

Assistant Professor of STEM-Computer Science, Cybersecurity, Advanced Analytics
, Tenure Track, 2015-2016
Computer Science & Cybersecurity
: IT, Programming, Data Science, Machine Learning Faculty

STEM Division alumni include NASA Space Shuttle commander astronaut, USAF Colonel Eileen Collins
Princeton University and Goldman Sachs sponsored Princeton Quant Trading Conference Invited Research Presentation, 2016.
Switzerland Federal Department of Economic Affairs: Math-Fintech Industrial Research, Technical Expert, 2016.
New York Cyber Security and Engineering Technology Association (NYSETA), Cybersecurity Standards Development, 2015.
Supervised development of Cybersecurity and Penetration-Testing and Ethical Hacking Networks and Infrastructure.
Developed and delivered experiential applied Cybersecurity program preceding New York State’s approval of Cybersecurity major.


Assistant Professor of Information Technology & Operations Research
, Tenure Track, 1998-2001
Enterprise Risk Management: IT, e-Business, & Knowledge Management Executive MBA & MBA Faculty

• Invited advisor to the Intel Corporation on Next-Generation e-Business Architectures, 2001.
• Invited advisor to the Government of Mexico and Parliament Cabinet Ministers, 13 CIOs, and 600 IT Executives, 1999.
• Invited advisor on National Economic Development to 400 South Korean Leaders, National TV Interview, Maeil Business TV Network, 2000.
• Invited National US and Worldwide National Interviews: CIO Magazine, Fortune, Inc., Maeil Business Newspaper (Korea), etc.
• Ranked in Top-3 most influential Knowledge Management scholar-practitioners such as Professor Ikujiro Nonaka of UC Berkeley.
- Drexel University Survey of Global Information Systems World Community, 2000.

EDUCATION
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Top-10 PhD Double Doctorate in IT & Statistics, National Honors: Quantitative Risk Management & Controls
- Quantitative PhD Thesis: Statistical Models of Quantitative Risk Management & Controls
.

Top-14 MS Quantitative Finance: Applied Math: Advanced Econometrics, Risk Modeling 
MFE Master of Financial Engineering Executive Education, University of California, Berkeley
PRMIA Quantitative Risk Management Executive Education, Kellogg School of Management
MS Network & Computer Security, 1st, Outstanding Student Award: Bayesian Inference, Markov Chain Monte Carlo Models 
MS Computer Science: Computational Finance, AI & Modeling, Algorithms, Data Mining, Machine Learning
MS Accountancy, 1st 4.0/4.0, Perfect GPA Award: Finance: Advanced Financial Accounting & Auditing, Asset Valuations
MBA Quantitative Economics, 1st 4.0/4.0, National Honors: Advanced Statistics, Econometrics & Optimization 
BE, Bachelor of Engineering with Distinction, Highest Honors : Mechanical Engineering: Physics
ABA/AIB, 
C.Eng., CISSP, CISA, CEH, CCP/CDP, CPA (Education), EC-Council, MATLAB, SAP-ERP/CRM, SAS.

SKILLS, EXPERTISE & INTERESTS
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Algorithms, Data Science, Machine Learning, Statistical Modeling, Quantitative Finance, Risk Management, Econometrics, Investment Banking, Portfolio Management, Financial Modeling, Derivatives, Predictive Analytics, Software Engineering, C++, Matlab, SAS, SQL, Microsoft Excel, VBA, Bloomberg, R, Python, Market Risk, Credit Risk, Liquidity Risk, Model Risk, Hedge Funds, Valuation, Quantitative Analytics, Financial Risk, Portfolio Optimization, Fixed Income, Trading Strategies, Statistics, Financial Econometrics, Time Series Analysis, Stress Testing, Data Modeling, Swaps, Equities, Trading, Data Mining, Stochastic Modeling, Quantitative Models, Asset Liability Management, Interest Rate Derivatives, Structural Equation Modeling, Cyber Risk, Cyber Risk Insurance, Cybersecurity, Information Assurance, Penetration Testing, Metasploit, Nmap, Wireshark, CISSP, CISA, CEH.
More...

Selected for inclusion in biographical profiles of worldwide leaders and achievers from both the United States and around the world in:

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

Digital Transformation & Advanced Analytics Projects Leading Global Firms & National Economies
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Princeton University Invited FinTech Research Presentations on Model Risk Management
Pioneering 'Open Systems Finance', 'Model Risk Arbitrage', and, 'Cyber Finance'

2015 Princeton Quant Trading Conference
'Knight Reconsidered':
Future of Finance Beyond 'Flash Boys': Risk Modeling for Managing Uncertainty in an Increasingly Non-Deterministic Cyber World

(Global Risk Management Network, LLC, 2015).

2016 Princeton Quant Trading Conference
Knight Reconsidered Again: Risk, Uncertainty, & Profit Beyond ZIRP & NIRP:
Beyond Model Risk Management to Model Risk Arbitrage for Fintech Era:
How to Navigate 'Uncertainty'... When 'Models' are 'Wrong'... And 'Knowledge'... 'Imperfect'!

(Global Risk Management Network, LLC, 2016).

'"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.

Risk, Uncertainty, and Profit: Frank Knight
(Boston, MA: Hart, Schaffner & Marx; Houghton Mifflin Co), 1921.

2015 Princeton Quant Trading Conference
'Knight Reconsidered':
Risk, Uncertainty, and, Profit for the Cyber Era: Model Risk Management of Cyber Insurance Models using Quantitative Finance and Advanced Analytics

(Global Risk Management Network, LLC, 2015).

2015 New York Cyber Security and Engineering Technology Association Conference
Toward Integrated Enterprise Risk Management, Model Risk Management, & Cyber-Finance Risk Management:
Bridging Networks, Systems, and, Controls

(Global Risk Management Network, LLC, 2015).

2016 New York State Cyber Security Conference
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?

(Global Risk Management Network, LLC, 2016).




FinTech Enterprise Risk-Model Risk Management meet Penetration Testing-Ethical Hacking

2015 National CSO-CxO Cybersecurity Conference

Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: Enterprise Risk Management to Model Risk Management: Understanding Vulnerabilities, Threats, & Risk Mitigation

CSO-CxO Plenary Keynote, National Cybersecurity Summit, Altria Group Inc. Headquarters, VA, 2015

New York Cyber Security and Engineering Technology Association (NYSETA) Conference
A Framework for Pen Testing Network Protocols for Global Banking & Finance Call Centers: Bridging Networks, Systems, and, Controls Frameworks for Cybersecurity Curricula & Standards Development
(Innovative Design and Development Practices)

New York Cyber Security and Engineering Technology Association (NYSETA) Conference, 2015.




35 SSRN Top-10 Research Rankings in FinTech Quant Risk Analytics-Model Risk Management
  1. SSRN Top-10 Research: Risk Management eJournal: May 2016.
  2. SSRN Top-10 Research: Risk Management & Analysis in Financial Institutions eJournal: May 2016.
  3. SSRN Top-10 Research: Econometrics: Econometric & Statistical Methods - Special Topics eJournal: May 2016.
  4. SSRN Top-10 Research: ERN: Other Econometrics: Econometric & Statistical Methods - Special Topics: May 2016.
  5. SSRN Top-10 Research: Corporate Governance: Disclosure, Internal Control, Risk-Management eJournal: Feb. 2016.
  6. SSRN Top-10 Research: ISN: Property Protection: January 2016.
  7. SSRN Top-10 Research: CGN: Risk Management Practice: January 2016.
  8. SSRN Top-10 Research: CGN: Risk Management, Including Hedging & Derivatives: January 2016.
  9. SSRN Top-10 Research: Corporate Governance Practice Series eJournal: January 2016.
  10. SSRN Top-10 Research: IRPN: Innovation & Cyberlaw & Policy: January 2016.
  11. SSRN Top-10 Research: Econometrics: Mathematical Methods & Programming eJournal: May 2015.
  12. SSRN Top-10 Research: Computational Techniques: May 2015.
  13. SSRN Top-10 Research: Information Systems & Economics eJournal: May 2015.
  14. SSRN Top-10 Research: Econometrics: Mathematical Methods & Programming eJournal: April 2015.
  15. SSRN Top-10 Research: ERN: Computational Techniques (Topic): April 2015.
  16. SSRN Top-10 Research: Econometric Modeling: Risk Management eJournal: March 2015.
  17. SSRN Top-10 Research: Econometric Modeling: Capital Markets - Risk eJournal: March 2015.
  18. SSRN Top-10 Researchr: Econometric Modeling: Capital Markets - Risk eJournal: March 2015.
  19. SSRN Top-10 Research: MRN Operations Research Network eJournal: March 2015.
  20. SSRN Top-10 Research: OPER Subject Matter eJournal: March 2015.
  21. SSRN Top-10 Research: Systemic Risk (Topic): March 2015.
  22. SSRN Top-10 Research: Econometrics: Mathematical Methods & Programming eJournal: March 2015.
  23. SSRN Top-10 Research: Econometric & Statistical Methods - Special Topics eJournal: February 2015.
  24. SSRN Top-10 Research: Microeconomics: Decision-Making under Risk & Uncertainty eJournal: February 2015.
  25. SSRN Top-10 Research: VaR Value-at-Risk (Topic): February 2015.
  26. SSRN Top-10 Research: ERN: Uncertainty & Risk Modeling (Topic): February 2015.
  27. SSRN Top-10 Research: ERN: Econometric & Statistical Methods (Topic): February 2015.
  28. SSRN Top-10 Research: Computational Techniques (Topic): February 2015.
  29. SSRN Top-10 Research: OPER: Analytical (Topic): February 2015.
  30. SSRN Top-10 Research: ERN: Mathematical Methods & Programming (Topic): February 2015.
  31. SSRN Top-10 Research: Stochastic Models eJournal: February 2015
  32. SSRN Top-10 Research: Econometric Modeling: Capital Markets - Risk eJournal: January 2015.
  33. SSRN Top-10 Research: Microeconomics: Decision-Making under Risk & Uncertainty eJournal: January 2015.
  34. SSRN Top-10 Research: Uncertainty & Risk Modeling (Topic): January 2015.
  35. SSRN Top-10 Research: VaR Value-at-Risk (Topic): January 2015.



Top Wall Street Banks' Model Risk Management Beyond VaR for Extreme Risks
FinTech Technical Expert to Top MDs Team for World's Largest Investment Bank


Cryptanalytic Algorithms and Quantum ComputingBeyond 'Bayesian vs. VaR' Dilemma to Empirical Model Risk Management: How to Manage Risk (After Risk Management Has Failed).
(Global Risk Management Network, LLC, 2012, 2014)

Cryptanalytic Algorithms and Quantum Computing

Measuring & Managing Financial Risks with Improved Alternatives Beyond Value-At-Risk (VaR)
(Global Risk Management Network, LLC, 2012).


FinTech Markov Chain Monte Carlo Models and Bitcoin Block Chain Encryption Protocols

Markov Chain Monte Carlo Models, Gibbs Sampling, and, Metropolis-Hastings Algorithms

Markov Chain Monte Carlo Models,
Gibbs Sampling, and, Metropolis-Hastings Algorithms

(Global Risk Management Network, LLC, 2013).
Complex Stochastics Hi-Dimensional Statistical Analysis

Bitcoin Protocol: Model of ‘Cryptographic Proof’ Based Global Crypto-Currency & Electronic Payments System
Bitcoin Protocol: Model of 'Cryptographic Proof' Based Global Crypto-Currency & Electronic Payments System
(Global Risk Management Network, LLC, 2013).
First Report on the Bitcoin Cryptographic-Proof-of-Work


Griffiss CyberspaceTM Cybersecurity Venture Spans Wall Street & Cyber Research


Cryptanalytic Algorithms and Quantum ComputingQuantitative Modeling of Trust and Trust Management Protocols in Next Generation Social Networks Based Wireless Mobile Ad Hoc Networks
(Global Risk Management Network, LLC,
December 18, 2014.)

Future of Cyber Risk
Griffiss Cyberspace Cybersecurity Venture Aims to Span Wall Street and Hi-Tech Research,
Cybersecurity, Financial Protocols & Networks Protocols Analysis, and, Penetration Testing
(Global Risk Management Network, LLC,
Summer 2013.)


FinTech Computational Quantitative Cryptanalytic Algorithms for Cyber-Quantum Era


Cryptanalytic Algorithms and Quantum ComputingFuture of Bitcoin & Statistical Probabilistic Quantitative Methods: Interview by Hong Kong Institute of Certified Public Accountants
(Global Risk Management Network, LLC, January 20, 2014.)

Cryptanalytic Algorithms and Quantum Computing
Cryptology beyond Shannon’s Information Theory: Preparing for when the ‘Enemy Knows the System’: Beyond NSF Cryptanalytic Algorithms
(Global Risk Management Network, LLC, 2013.)


AACSB Recognizes Real Impact among Nobel Laureates such as Black-Scholes
Pioneered Anticipatory Risk Analytics Frameworks Applied by Top Investment Banks 

“There are many examples illustrating that advances in basic research have had a substantial impact on practice. Exemplars of this phenomenon can be seen in finance through academic publications on the theories of portfolio selection (Markowitz, 1952), irrelevance of capital structure (Modigliani and Miller, 1958), capital asset pricing (Sharpe, 1964), efficient markets (Fama, 1965 and 1970), option pricing (Black and Scholes, 1973), and agency theory (Jensen and Meckling, 1976). All are well-known for their substantial impact on both theory and practice. In information systems, the research of Malhotra (Malhotra, 2004) has helped companies to understand why knowledge management systems fail...

AACSB logoAACSB

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Cryptanalytic Algorithms and Quantum Computing

“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, Sep. 15, 1999.


 

Leading Global Enterprise Risk Management and Model Risk Management Practices

"The future is moving so quickly that you can’t anticipate it… We have put a tremendous emphasis on quick response instead of planning. We will continue to be surprised, but we won't be surprised that we are surprised. We will anticipate the surprise."
*
20-Years of the Model Risk Management Program
  “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, Sep. 15, 1999.
[A Decade Later... Wall Street CEO, CFOs, & CROs know so... ]
Model Risk Management Program

 

Global-National Expert Panels of Computer Scientists & Quantitative Economists
Global-National Thought Leader for UN, NSF, US & World Governments & Parliaments

National Science Foundation  IBM

  USA Federal Government
US Dept. of Veteran Affairs

Government and Cabinet Of Mexico

United Nations

Government and Cabinet Of Netherlands

Nation of South Korea
Maeil Business TV

ACM  IEEE HP
TiE Silicon Valley  Accenture
Intel  Philips
British Telecom  Institute for Supply Management
The Conference Board

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Digital Transformation Research in Global Business & Technology Press

CIO Magazine
CIO Insight
Inc.
Fortune
Wall Street Journal
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Digital Transformation Ventures in Global Business & Technology Press

Media Coverage Media Coverage
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Digital Transformation Venture Clients, Patrons, & Subscribers

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

FinTech Firms: Goldman Sachs, Google, HP, IBM, Intel, Microsoft, Ogilvy, Wells Fargo

Consulting Firms: Accenture, Ernst & Young, McKinsey, PricewaterhouseCoopers

World Governments: Australia, Canada, European Union, United Kingdom, United States

U.S. Defense: AFRL, Air Force, Army, CCRP, Comptroller, DISA, DoD, NASA, Navy, RAND

World Defense: Australia (Air Force), Canada (Defence R&D), UK (Ministry of Defence)

Business Schools: Harvard, MIT, Princeton, Stanford, UC Berkeley, Wharton

Associations
: AACSB, ABA, ACM, AICPA, AOM, APICS, ASTD, ISACA, IEEE, INFORMS

"Founder Yogesh Malhotra says his vision is to fill the gaps between business and technology, data and knowledge, and, theory and practice..."
-
Dr. Yogesh Malhotra in Fortune
Interview

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Cyber Transformation Practices Guiding US DoD Commanders & CxOs
("Obsolete what you know before others obsolete it..."
- Dr. Yogesh Malhotra in Inc. Interview)

United States Army United States Navy United States Air Force United States Marine Corps AFRL
"If you spend some time at [the digital research lab] founded by Dr. Malhotra youwill be blessed by some of the world's most astute thinking on the nature of knowledge and its value." 
- U.S. Army Knowledge Symposium, Theme: "Knowledge Dominance: Transforming the Army...from Tooth to Tail", US Department of Defense, United States Army.

"There are many definitions of knowledge management. It has been described as "a systematic process for capturing and communicating knowledge people can use." Others have said it is "understanding what your knowledge assets are and how to profit from them." Or the flip side of that: "to obsolete what you know before others obsolete it." (Malhotra) "
- U.S. Department of Defense, Office of the Under Secretary of Defense (Comptroller)

"KM is obsoleting what you know before others obsolete it and profit by creating the challenges and opportunities others haven't even thought about -- Dr. Yogesh Malhotra, in Inc. Technology Interview"
- U.S. Defense Information Systems Agency Interoperability Directorate

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Top-3 Most Influential Scholars-Practitioners
in Knowledge Management
(Ranked in Drexel University Global Survey of IS Practice)

Vision Korea Campaign Keynotes
Dr. Yogesh Malhotra among other 'Vision Korea' National Campaign Keynote Speakers in Vision Korea National Campaign (2000): Dr.Charles Lucier of Booz Allen Hamilton, Dr.David Snowden of IBM, Dr.Robert H. Buckman of Buckman Labs, Dr.Hubert Saint-Onge of Canadian Imperial Bank of Commerce, Professor Dr.Ikujiro Nonaka of Hitotsubashi University

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Pioneered Knowledge Management Digital Transformation Practices
Led Global Virtual Team of 200-PhD Experts & CxOs to Publish Pioneering Research

CyberspaceOrganizations
Published in 2000
CyberspaceBusinessModels
Published in 2001

CyberspaceBusinessModels
Journal Articles & Reports 1993-Present

Published independent Study paper on computer graphics image compression standards for hypermedia computing technologies, the precursor of WWW, on MBA graduate research fellowship with B2B pioneer and full tuition scholarship in 1993.

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Developed Top Digital Research Site, Search Engine, & 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 after 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.

Top3SearchEngineBRINT

Top-3 Search Engines Ranked in the Carnegie Mellon University: National Industry.Net Awards