World Leading Hi-Tech Research Defining World Leading Computational, Quant & Cyber Risk Analytics Practices ™
Global Risk Management Network, LLC, 757 Warren Rd, Cornell Business & Technology Park, Ithaca, NY 14852-4892
Dr. Yogesh Malhotra
Who's Who in America®,
Who's Who in the World®,
Who's Who in Finance & Industry®,
Who's Who in Science & Engineering®
IT-Finance-Risk Management Computational, Quant & Cybersecurity 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.
2015-2016: 39 Top-10 SSRN Research Rankings: Computational, Quantitative & Cyber Risk Analytics.
2008: AACSB: Real Impact of Research among Nobel Laureates such as Black-Scholes & William Sharpe.
2016 Princeton Quant Trading Conference Invited Research Presentation: Sponsor: Princeton University.
2015 Princeton Quant Trading Conference Invited Research Presentation: Sponsor: Princeton University.
2016 New York State Cyber Security Conference Research Presentation: Sponsor: New York State Governor.
2015 New York State Cyber Security & Engineering Technology Association Conference: Sponsor: NYSETA.
2015-2016: 39 Top-10 SSRN Research Rankings in World-Leading Computational, Quant & Cyber Risk Analytics.
2015-2016: Computational, Quant & Cyber Risk Analytics Presentations sponsored by New York State and Princeton University.
Over 20-Years of Global High Impact Hi-Tech Practices Leadership spans Silicon Valley to Seoul and all continents in between.
Considerable Real Impact of Scholarly Research on Global Practices ranked among Finance & IT Nobel laureates in scientific studies.
Risk Management Tech Ventures leading Computational Quantitative Analytics, Machine Learning, Data Science, Quantitative Finance, & Cybersecurity Practices.
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]
Top-10 PhD IT-Statistics Double Doctorate Computer Scientist with latest global Finance-IT-Risk Management and Cyber-Finance innovations advancing global hi-tech Quant Risk Analytics and Cybersecurity practices for post-Crisis Global Financial Systems and Global IT Systems.
Latest Computational Quantitative Analytics innovations focus of post-doc presentations advancing global hi-tech practices at most high profile conferences such as 2016 and 2015 Princeton Quantitative Trading Conference sponsored by Princeton University and Goldman Sachs and 2016 New York State Cybersecurity Conference sponsored by New York State Governor.
20-years of post-WWW Digital Transformation Computational Quant Risk Analytics innovations advancing global practices of worldwide firms and governments with real world impact of IT research applied by NASA and Big Banks ranked among Nobel Laureates by AACSB.
Leadership of Top Wall Street Investment Banks with $1 Trillion AUM guiding top Hedge Fund and Risk Analytics leaders of Managing Directors from investment banks such as JP Morgan.
Government Administration Leadership of New York State advancing leading-edge IT Administration, Networks Administration, & Networks Security practices
39 SSRN Top-10 Research Rankings (2015-2016) for world-leading research impact advancing real-world global Finance-IT-Risk Management practices such as Cybersecurity & Computational Quant, Finance, & Risk Analytics Machine Learning Algorithms.
20-Yr. Global Hi-Tech Practices Leadership pioneering world-leading post-WWW National & Global Information Infrastructure Finance-IT-Risk Management practices with leading-edge applied Computer Science, Cybersecurity, & Machine Learning Computational Quant innovations.
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, United Nations HQ and, NSF. Carnegie Mellon & Kellogg Invited Executive Education Faculty.
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 pioneered Model Risk Arbitrage, Black Hat Finance, Uncertainty Modeling, and, Cybersecurity Risk Insurance Modeling research and practices. These presentations followed from his post-doctoral research with advisors that included top Hedge Fund and Risk Management leaders of Managing Directors from Wall Street investment banks such as JP Morgan and 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. Before that, his research advanced worldwide global practices in Enterprise Risk Management and Model Risk Management by developing Anticipatory Risk Analytics frameworks of Model Risk Management a decade ahead of articulated need by Wall Street CFOs and CROs for such frameworks in the aftermath of the Global Financial Crisis (2008-2009) which is advancing execution of the US Federal Reserve and OCC SR11-7 and OCC 2011-12 Model Risk Management Guidance.
While AACSB International Impact of Research Task Force reports "substantial impact on practice" of his research among Finance & Economics Nobel laureates such as Black-Scholes, Harry Markowitz, and, Bill Sharpe, premier scientific impact studies in top-tier research journals have ranked and recognized the impact of his research among top Economists, Information Scientists, and, Strategists such as Joseph Schumpeter, Paul Romer, Nobel laureate Herbert Simon, and, Michael Porter. In addition to being included among both Ikujiro Nonaka and Herbert Simon in the top-ranked research impact by the citation impact analysis studies published by the American Society for Information Science & Technology (ASIST), and, the University of Minnesota MIS Research Center, he was among them to be invited as seminal contributors to advancing Knowledge Management by the American Society for Quality, the administrator of Malcolm Baldrige National Quality Program Awards, for their flagship peer-reviewed research journal.
He has been called on to advise the US National Science Foundation (NSF), the United Nations (UN), US & World governments, parliaments, and, cabinets and delivered national keynotes and nationally broadcast interviews among Knowledge Management pioneers such as Dr. Ikujiro Nonaka, University of California Berkeley Distinguished Professor, and Dr. Charles Lucier, Booz Allen Hamilton Partner & CKO. He has been interviewed among Virtual Organization pioneers such as Hatim A. Tayabji, CEO, Verifone, while he held a PhD research fellowship in mid-1990s pioneering some of the early globally influential digital transformation ventures including world's Top-ranked Research Web site (Computerworld), Top-3 Search Engine (Carnegie Mellon Industry.Net National Awards), and Top-10 Social Network. His Digital & Analytics ventures recommended by IT visionaries such as Microsoft founder Bill Gates are recognized as global benchmarks of practice in worldwide business technology press including Wall Street Journal, New York Times, Los Angeles Times, Fortune, Forbes, Inc., Business Week, San Jose Mercury News, Computerworld, Information Week, CIO Magazine, CIO Insight, and, Chief Executive, etc. and by prestigious institutions such as Harvard Business School and MIT.
While serving in quantitative risk modeling research academia, as one of the two US economists with Northwestern University Departmental Chair & Professor of Economics being the other, he led the United Nations global expert panel of economists as invited quantitative economist expert on National Knowledge Assets Measurement. He also served as invited panelist on 32 national expert panels of computer scientists for the US National Science Foundation for allocation of multi-million dollar US federal funds. He served as one of four founding members and contributing editors for Ziff Davis and led US CxOs in global standards development for the Global Standard for Internet Commerce. He guided strategic development of Next Generation e-Business Architectures for $100 billion hi-tech firms such as Intel Corporation. He served as invited plenary keynote speaker & thought leader for Silicon Valley Venture Capitalists & CxOs; the Conference Board National Quality Council of Malcolm Baldrige National Quality Award CxOs; the Institute for Supply Management; United Nations world headquarters Global Economists Expert Panel; and United States Federal Government and world governments, parliaments and cabinets such as Government of Netherlands and Government of Mexico, and national economies such as South Korea.
Six years before AACSB highlighted the impact of his research, CNet Networks had conferred Corporate Computing Award on his research paper cited by the AACSB as being the most influential research paper based upon their usage counts of all their archived research papers. His applied research technology ventures have won top awards, top rankings, and, editorial reviews as global CxO best practices benchmarks in most known US and worldwide top-tier Information Technology and Information Systems business press journals. Editorial reviews of his technology ventures and his interviews have appeared in the worldwide business and technology press including Wall Street Journal, New York Times, Los Angeles Times, Fortune, Forbes, Inc., Business Week, San Jose Mercury News, Computerworld, Information Week, CIO Magazine, CIO Insight, Chief Executive, etc.
His research for advancing thought leadership and insights of world's foremost leaders and top executives is found in use as standard reference in libraries of institutions such as Harvard, MIT and Princeton, and in top universities and business schools of the world such as Harvard Business School MBA Program, Stanford Graduate School of Business and Wharton School. His biography has been selected by invitation for inclusion in biographical profiles of worldwide leaders and achievers from both the United States and around the world in: Marquis Who's Who in America®, Marquis Who's Who in the World®, Marquis Who's Who in Finance & Industry®, and Marquis Who's Who in Science & Engineering®.
Leading Post-Crisis Global Computational Quant & Cyber Risk Analytics Digital Transformation Practices.
CxO Risk Management Analytics beyond Prediction to Anticipation of RiskTM
World Leading Hi-Tech Research Defining World Leading CxO Risk Management PracticesTM
Cybersecurity Risk Engineering Practices Guiding US & G5 DoD Commanders & CIOs-CTOs
Computational Quant & Risk Analytics Practices Guiding Finance-IT-Risk Management CxOs
Research Impact Editorial Reviews in All Known Top Business-IT Institutions & Publications Global Thought Leadership spanning Silicon Valley to Seoul and all the continents in between with global impact across most nations of the world. FinTech Research Impact recognized among IT and Finance-Economics Nobel laureates in business press, industry surveys & scientific impact studies. Risk Management Tech Ventures leading Computational Quantitative Analytics, Machine Learning, Data Science, Quantitative Finance, & Cybersecurity Practices.
Sample of worldwide clients, patrons & subscribers:
FinTech: Wall Street & IT: Goldman Sachs, Google, HP, IBM, Intel, Microsoft, Ogilvy, Wells Fargo
Consulting Firms: Accenture, Ernst & Young, McKinsey, PricewaterhouseCoopers
Business Schools: Harvard, MIT, Princeton, Stanford, UC Berkeley, Wharton
Associations: AACSB, ABA, ACM, AICPA, AOM, APICS, ASTD, ISACA, IEEE, INFORMS
World Governments: Australia, Canada, European Union, United Kingdom, United States
U.S. Defense: AFRL, Air Force, Army, CCRP, Comptroller, DISA, DoD, Marines, NASA, Navy
World Defense: Australia (Air Force), Canada (Defence R&D), UK (Ministry of Defence)
World Health: World Health Organization (WHO), U.S. Department of Health & Human Services,
European Health Management Association, U.K. Department of Health, UNESCO, UNDP
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