AFRL Commercialization AcademyMIT Sloan School of Management Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education MIT Computer Science & ArtificialIntelligence Laboratory CSAIL Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education  Princeton University  Goldman Sachs JP Morgan Asset Management

CEO-CxO Strategy to Execution: Goldman Sachs-JP Morgan: Wall Street-Silicon Valley: MIT-Princeton: USAF-AFRL
Post-Doc AI-ML-DL-NLP-RPA, Cybersecurity & Cryptography, Quantitative Finance & Trading, Quantum Computing.
Top-10 MIS PhD, MSCS, MSNCS, MSQF, MSAcc, MBAEco, BEngg, CEng, CISSP, CISA, CEH, CCP, CPA Education.
Who's Who in America®, Who's Who in the World®, Who's Who in Finance & Industry®, Who's Who in Science & Engineering®

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Inc. Magazine Interview Fortune Magazine Interview CIO Magazine Interview The Wall Street Journal Interview The New York Times
Business Week
Fast Company Computerworld Information Week
    BUILDING & LEADING GLOBAL DIGITAL TRANSFORMATION & RISK MANAGEMENT PRACTICES AS INDUSTRY BENCHMARKS.

Dr. Yogesh Malhotra,New York,USA  Dr.Yogesh.Malhotra at gmail.com  SSRN  Google Scholar  Amazon Author Page  Syracuse University Author.jpg


NEWS: #AFRL #Quantum Defense Summit: AIMLExchange™: AI-Cyber-Crypto-Quantum Future

U.S. AIR FORCE : AIR FORCE RESEARCH LAB: GRIFFISS INSTITUTE: COMMERCIALIZATION ACADEMY:
BLUEPRINTS FOR EXECUTING THE USAF SCIENCE & TECHNOLOGY STRATEGY FOR 2030 & BEYOND:
AIMLExchange (TM)   AIMLExchange™ : We create the Digital Future™: Save 90% Cost & Time: AI-Cyber-Crypto-Quantum
C4I-Cyber (TM)  C4I-Cyber™ : Because the Future of the World Depends Upon It™: C4I-C2 AI-Cyber-Crypto-Quantum
Global Risk Management Network, LLC  Global Risk Management Network, LLC, Griffiss Business & Technology Park, Rome, NY 13441.

MIT-Princeton: Goldman Sachs-JP Morgan: Wall Street-Silicon Valley: USAF-AFRL:
CEO-CxO Teams Strategy to Execution Leader

EXECUTIVE SUMMARY

Dr. Yogesh Malhotra is the Founding Chairman & CEO of the New York, USA, based global venture capital and private equity firm Global Risk Management Network, LLC. As CEO, CIO, and, CTO of global Digital ventures with global clients-patrons such as Goldman Sachs, Google, IBM, Intel, Microsoft, and, Ogilvy, institutions such as Harvard and MIT, and, ACM, NSF, UN, U.S. and world governments, Dr. Yogesh Malhotra is an industry pioneer in Human-Centered Artificial Intelligence (AI), Knowledge Management (KM), and, Digital Transformation. As Industry Expert for MIT Computer Science & AI Lab, he recently led 200 Management & Leadership executives from firms such as Google and Microsoft to develop, deploy, and, implement AI, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and, Robotic Process Automation (RPA) strategy road maps. As Industry Expert for the Princeton Quant Trading & Finance and Crypto-FinTech Conferences sponsored by firms such as Goldman Sachs and Citadel, his recent presentations advanced Cyber-Crypto resilience practices for AI-ML-DL-GANs (Generative Adversarial Networks) and Quantum Computing and Quantum Cryptography.

Over recent years, at the request of Pentagon CTO and U.S. DoD CIO senior advisor, he has served as Chief Data Scientist and Chief Scientist enabling DoD-wide AI-ML enablement for the Secretary of the United States Air Force (USAF) and Joint Artificial Intelligence Center (JAIC) CTO, and, a global inter-agency COVID rapid response network respectively. Before that, he was retained as full-time global Managing Director on the senior leadership team by the CEO of GIBC Digital to head a $1 Billion global AI-ML center of innovation excellence. Over above time span, he also represented the CEO of a global Block Chain Cloud Computing pioneer on investment road shows across Asia and Australia while leading and guiding the CEO, COO, and, CTO team on AI-ML-Cyber-Crypto tech architecture and platform development and strategy.

His above CEO-CxO teams leaderships advance upon his prior leadership of global Digital Practices, Technologies, Teams, and, Ventures adopted-recommended by industry leaders such as Microsoft founder Bill Gates, Big-4 Consulting CxOs, and, U.S. Army, Navy, and, Air Force CIOs. Building upon 25-year leadership of CEO-CIO-CTO practices and teams, his recent Air Force Research Lab (AFRL) Commercialization Academy ventures advance AI-ML-DL and Cyber-Crypto, Quant, and, Quantum practices enabling global Digital CEO-CxO teams to build next generation resilient Digital enterprises while saving 90% time and cost. His automation and optimization focus built upon leadership of AI-ML-DL and Knowledge Management practices is complemented by his solid Risk Management focus.

His latest AI-ML-DL industry expert papers and presentations such as for the Journal of Financial Transformation and Journal of Operational Risk, and, Chartered Financial Analyst (CFA) Society, and, National Association of Insurance Commissioners (NAIC) and Data Science innovations such as Model Risk Arbitrage™ build upon prior leadership of Wall Street investment banks with $1 Trillion AUM such as JP Morgan in Financial Risk Management, and, State of New York in Cyber Security and Network Security Risk Management.

With 67 Top-10 SSRN research rankings for latest post-doctoral R&D papers and presentations on AI-ML-DL-Cyber-Crypto-Quant-Quantum technologies, his prior impact of research is ranked and recognized among Nobel laureates in Information Technology and Finance such as Herbert Simon and Black-Scholes, and, recognized by various awards including CNet Networks Corporate Computing Award for most influential research.

Editorial reviews of his practices, technologies, teams, and, ventures as global industry benchmarks are featured worldwide by the world's premiere global business and technology media such as Business Week, Fortune, Fast Company, Inc., Wall Street Journal, New York Times, Computerworld, Information Week, CIO Magazine, etc.

His biographical profile has been selected for listing in the most prestigious global biographical references of world's top leaders and achievers for over 20 years by Marquis Who's Who® such as in Who's Who in America®, Who's Who in the World®, Who's Who in Finance & Industry®, and, Who's Who in Science & Engineering®.

PROFILE

  • AACSB-ASIS&T: IT-Knowledge Management R&D Impact among Nobel Laureates such as Black-Scholes, Herbert Simon.
  • MIT Industry Expert: Artificial Intelligence-Machine Learning-Deep Learning-Natural Language Processing-RPA-Robotics.
  • Princeton Quant Présentations: AI-ML-Quant-Cyber-Crypto-Quantum Computing & Cryptography, Predictive Analytics.
  • AFCEA, AFRL, NYS, Pentagon, US-World Governments Expert on AI-ML-DL-Quant-Cyber-Crypto-Quantum Computing.
  • ACM-National Science Foundation Computer Scientist: 32 NSF Cyber Security-Cyber Computing Expert Panels, SBIR/STTR.
  • National Association of Insurance Commissioners Expert: National Policies on Cyber Risk Modeling & Measurement.
  • United Nations Global HQ Expert: Global National Policies on Quant Measurement of National Knowledge Assets.
  • Editorial Boards & Referee Expert Panels of more than 50 STEM IT, Computer Science, Math Journals & Conferences.

25-Yr Building and Leading US and Global Science & Technology (S&T) Research & Development (R&D) Practices & Ventures
- AI-ML-DL-NLP, Quant-Cyber-Crypto-Quantum Computing, Block Chain-Cloud Computing, IT-KM Processes-Supply Chains.

  • CEO-CIO-CTO-Chief Scientist: World's Largest Digital Transformation Network: Global Clients-Patrons:

Goldman Sachs, Google, IBM, Intel, JP Morgan, Wall Street Hedge Funds $Trillion AUM
Recommended by Harvard MBA, Microsoft founder Bill Gates, US DoD-CIOs; Millions of Users

  • Founder & CEO: Griffiss USAF-AFRL Commercialization Academy Network Ventures: AIMLExchange™, C4I-Cyber™:

CEO-CIO-CTO & Chief Scientist: Global Hi-Tech CEO-CxO Networks: USAF-AFRL Commercialization Academy
AIMLExchange™, Resilient Digital Transformation Saving up to 90% Time & Cost, NYS IDEA Awards Finalist.
C4I-Cyber™, Resilience & Business Continuity, C4I Command & Control (C2), Adversarial C2, Counter-Adversarial C2.

  • Chief Scientist, CEO-CxO-Founders: Pentagon CTO’s Team Principal Investigator: Biomedical COVID-19 Containment.
  • Chief Scientist, CEO-CxO Team: Pentagon CTO’s Team: Pentagon-DoD wide AI-ML Enablement for USAF Secretary-JAIC CTO.
  • Chief AI-Machine Learning Strategist, CEO-CxO Team: CEO Road Shows: Global Block Chain-Cloud Computing Pioneer.
  • Managing Director retained to head $1 Billion global AI-Machine Learning Excellence Center by CEO of GIBC Digital.
  • Chief Scientist, JP Morgan Managing Directors-Portfolio Managers-Quants Leader, $500-$600 Billion AUM

Reported to JP Morgan Global Head of Analytics Research-US Head of Portfolio Management.

  • Chief Information Security Officer CISO role: New York State IT-Networks Administration: Zero Trust Architectures.
  • CIO Digital Transformation: University of Pittsburgh Medical Center (UPMC)-Pitt PhD PI: KM-Structural Equation Models.
  • CIO Strategy-Software Teams Leader: Big-3 Global IT and Big-3 Global Banking & Finance Firms: USA, Hong Kong, India.

Global Industry Benchmarks: Digital Transformation, National Information Infrastructure, Global Information Infrastructure:
Global Media Coverage: Computerworld, CIO, Information Week, Fortune, Inc., New York Times, Wall Street Journal, etc.

  • CNet Networks Corporate Computing Award: Most Influential Research
  • Top Digital Site: Computerworld Worldwide Rankings
  • Top-3 Search Engine: Carnegie Mellon Industry.Net Awards
  • Top-10 Social Network: Among others such as LinkedIn.

2005-Current: DoD Directive 8140 (DoDD 8570): CISSP, CISA, CEH Cyber-Network-Security-Infrastructure Certifications.
1993-Current: CISSP, CCP-CDP (ACM-DPMA); 1989-Current: Chartered Engineer, Life Member of The Institution of Engineers.
Post-Doctoral Engineering R&D: AI-ML-DL-Quant-Cyber-Crypto-Quantum Computing: Algorithms-Models-Risks-Controls
2015-2020: SSRN 67 Top-10 Research Rankings: Over 9,000 Downloads; Google Scholar Ranking: Over 8,000 Citations.

  • Carnegie Mellon, Kellogg, INSEAD, Queen's: IT Executive Education Faculty-Lectures: Digital Transformation & KM.
  • IT/OR R&D Tenure-Track Professor: Syracuse University, SUNY: STEM Computer Science-Quantitative Methods Faculties:
  • IT & Operations Research MBA Faculty, STEM Computer Science Network Security-DevOps-Advanced Analytics Faculty.
  • Top 10 Quantitative Information Systems PhD: R&D in AI-ML-KM-HCI, Quantitative Methods-Models-Risks-Controls.
  • 5 Masters Degrees in Engineering and Quantitative Disciplines & Methods
  • Engineering: MS Computer Science, MS Network & Computer Security
  • Quantitative: MS Quantitative Finance (Applied Math/Statistical Physics), MS Accountancy, MBA Econometrics.

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


AI
MLExchange™: The Global Digital Network of Hi-Tech CEO-CxO Teams

Join Us! You Can't Miss the Future! Or, Be Late Behind Others to the Future!

Global Digital Network Powering Digital CEOs-CxOs:
Startups to $ Trillions:
Having Built, Grown & Led Global Digital CEO-CxO Practices for 25-Years:
CEO-CxO Teams: Startups to $100 Billion Firms to Trillion $ Hedge Funds.

AIMLExchange™: Executing the Vision of AI-ML-Cyber-Crypto-Quantum Valley
AIMLExchange™: Executing the Vision of Future AI-ML-Cyber-Crypto-Quantum Valley

AIMLExchange AFRL OpenInnovationCenter

AIMLExchange AFRL OpenInnovationCenter

AIMLExchange AFRL OpenInnovationCenter

AIMLExchange AFRL OpenInnovationCenter

 


"Venture capitalist Roger McNamee recently implored Silicon Valley to embrace human-driven social networks that empower rather than exploit users as the Next Big Thing. Having pioneered such networks, we were invited to guide Silicon Valley 20-years ago on building Digital enterprises for the Wild Wild Web*. Today, we are ready to again lead Silicon Valley to further advance human-driven technologies in collaboration with the AFRL, Griffiss Institute, Mohawk Valley..."
- Dr. Yogesh Malhotra, Founder, AIMLExchange


About Us: AIMLExchange™: We Create the Digital Future™

Let's Together Build the Digital Future and Save the World in the Process™

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

Global Corporations: Goldman Sachs, Google, HP, IBM, Intel, Microsoft, Wells Fargo
Consulting Firms: Accenture, Ernst & Young, McKinsey, Pricewaterhouse Coopers
Healthcare: WHO, US Health & Human Services, UK Dept. of Health, European HMA
World Governments: Australia, Brazil, Canada, China, European Union, UK, USA
U.S. Defense: AFRL, Air Force, Army, CCRP, Comptroller, DISA, DoD, NASA, Navy
World Defense: Australia (Air Force), Canada (Defence R&D), UK (Ministry of Defence)
Universities: Harvard, INSEAD, MIT, Princeton, Stanford, UC Berkeley, Wharton
Associations: AACSB, ABA, ACM, AICPA, AOM, APICS, ASTD, ISACA, IEEE, INFORMS

CEOs-CxOs : AIMLExchange™: KNOW : BUILD : MONETIZE : AI-ML-DL : Cyber-Crypto : Quant-Quantum
Digital Transformation : AI & Machine Learning : Cybersecurity & Cryptography : Data Science & Analytics
AIMLExchange™: AFRL-USAF HQ : GIBC Digital: RISK: MIT AI-ML : Princeton : Goldman Sachs-JP Morgan
NEWS: Rome Sentinel: AIMLExchange™ Rome firm among 6 finalists in AFRL Commercialization Academy.
Latest R&D: MIT, Princeton, New York State: 2016, 2019, AFRL, AFCEA C4I, CFA, Capco, RISK, NAIC.
Expert Panels: ACMIEEESociety of ActuariesSociety of Modeling & SimulationJournals & Conferences.


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

AACSB

AACSB logo

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

Worldwide top leadership programs such as the Harvard MBA, world leaders such as Microsoft founder Bill Gates, Big-4 CxOs, and, CIOs of the US Army, US Navy, and US Air Force, and, the U.S. Joint Chiefs of Staff of the Department of Defense including U.S. National Heads of C4 Systems and National Defense University have adopted, applied, and recommended our digital ventures transforming global digital practices.

Worldwide Business and IT Editorial Reviews & Interviews as global industrial benchmark such as in Wall Street Journal, New York Times, Fortune, Fast Company, Forbes, Business Week, CIO, CIO Insight, Computerworld, Information Week, etc.

Inc. Magazine

“Obsolete what you know before others obsolete it and profit by creating the challenges and opportunities others haven't even thought about...”
- Inc. Magazine Interview: Dr. Yogesh Malhotra, Founder, AIMLExchange™.
Worldwide Impact on Global Digital Transformation Practices.


US Under Secretary of Defense     United States Army United States Navy  United States Air Force  Royal Australian Air Force (RAAF) AIRCDRE  Government of UK, Ministry of Defence  Canadian Department of National Defence, Canada, Defence R&D Canada

Fortune Magazine

“Yogesh Malhotra says his vision is to fill the gaps between business and technology, data and knowledge, and, theory and practice...”
- Fortune Magazine Interview: Dr. Yogesh Malhotra, Founder, AIMLExchange
Worldwide Impact on Global Digital Transformation Practices.


Google  IBM  Intel  Microsoft  OgilvyOne
 Cisco  SAP  Verisign  European Commission  Government_of_UK

CIO Magazine

“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.”
- CIO Magazine Interview: Dr. Yogesh Malhotra, Founder, AIMLExchange
Worldwide Impact on Global Digital Transformation Practices.

American Institute of Certified Public Accountants (AICPA) AACSB International ACM IEEE AACSB International American Bar Association


PIONEERING HI-TECH KNOWLEDGE ECONOMY DIGITAL TRANSFORMATIONS

CyberspaceOrganizations

Microsoft

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

  CyberspaceBusinessModels

city-university-hong-kong

"Knowledge Management and Business Model Innovation brings together the latest thinking on issues at the forefront of teaching innovation and professional imagination."
- M. Lynne Markus
, Professor and Department Chair of Electronic Business, City University of Hong Kong

 

AIMLExchange™: The Global Digital Network of Hi-Tech CEO-CxO Teams

Join Us! You Can't Miss the Future! Or, Be Late Behind Others to the Future!

AIMLExchange™ Global Hi-Tech Digital CEO-CxO Startups Enabler Network Platform: We Enable Global Hi-Tech Digital CEO-CxO Teams by "accelerating business performance" and "minimizing execution risk" in Knowing-Building-Monetizing™ global Digital, AI, ML, Quant, Cyber, Crypto & Quantum Practices, Technologies, Teams & Ventures.

The Knowledge Map accessible from the Top Menu of AIMLExchange.com captures our 25-year global Digital practices leadership with focus on Risk and Uncertainty Management characterizing the Future. Having led, and, guided hundreds of CEO-CxO Digital hi-tech teams including 200 MIT Management & Leadership industry executives on building global Practices, Technologies, and, Ventures, we developed the Know-Build-Monetize™ methodology to save up to 90% Cost, Time, and, Resources in such executions. To enable thousands of global CEO-CxO digital teams at scale, AIMLExchange™ is building out Know-Build-Monetize™ methodology as our latest Global Digital Network Market Platform that you can access now from diverse platforms including mobile devices at AIMLExchange.com.

"Whether you are a small enterprise planning to go big or a big enterprise that needs to operate in agile startup mode, we enable and accelerate your Knowing, Building, and, Monetization of related Digital Practices, Technologies, Teams, and, Ventures.":

We create the Digital Future™ ...by enabling Hi-Tech CEO-CxO Teams Peak Performance...
...Where AI-Machine Learning-Deep Learning Meet Cyber Security, Cryptography, Telecommunications Engineering & Computational-Quantitative Analytics applied to Digital, Quant, Cyber, Crypto, Quantum Technologies, Practices & Ventures by CEO-CxO Teams.


 

AIMLExchange™: Executing the Vision of AI-ML-Cyber-Crypto-Quantum Valley
AIMLExchange™: Executing the Vision of Future AI-ML-Cyber-Crypto-Quantum Valley

AIMLExchange AFRL OpenInnovationCenter

AIMLExchange AFRL OpenInnovationCenter

AIMLExchange AFRL OpenInnovationCenter

AIMLExchange AFRL OpenInnovationCenter

 

AIMLExchange™: Our Story: We Create the Digital Future™
... Again & Again & Again...

'Your Survival Network for The Brave New World Of Business'™
“The best way to predict the future is to create it.” —Peter Drucker

We Create the Digital Future™ ...Doing So Since Beginning of the WWW...
What Got AIMLExchange™ Started: "Do Something Epic: Save the World™"

 

ABOUT AIMLExchange

AIMLExchange™: Global Risk Management Network, LLC, Rome, New York, USA:
#AIMLExchange AIMLExchange.com: We create the Digital Future™:

AIMLExchange™ Global Hi-Tech Digital CEO-CxO Teams Enabler Network Platform: We Enable Global Hi-Tech Digital CEO-CxO Teams by "accelerating business performance" and "minimizing execution risk" in Knowing-Building-Monetizing™ global Digital, AI, ML, Quant, Cyber, Crypto & Quantum Practices, Technologies, Teams & Ventures.

To enable thousands of global CEO-CxO digital teams at scale to save up to 90% Cost, Time, & Resources, AIMLExchange™ is building out our Know-Build-Monetize™ methodology as our latest Global Digital Network Market Platform that you can access now from diverse platforms including mobile devices at AIMLExchange.com.

Having pioneered Digital Transformation starting with beta of the first WWW browser, we continue to build, grow, and, lead global hi-tech CEO-CxO Digital practices - across Silicon Valley, Wall Street, Global IT & Cybersecurity, Global Banking & Finance, and, Global Defense. Worldwide leaders, firms, and, governments adopt and recommend our Digital Practices, Technologies, and, Ventures including world leaders such as Microsoft founder Bill Gates, Big-4 CxOs, top commanders and leaders of U.S. Joint Services across Air Force, Army, Navy, and, Marine Corps. We are reviewed as a global industrial benchmark for Digital CEO-CxO practices in worldwide Business and Technology press. We wrote the Digital playbook followed by most-renowned organizations who seek us as their collaborators including firms such as IBM, Intel, Google, Microsoft, Harvard and MIT. We built the world's largest Digital Transformation Network on top of the world's Top Digital Site (Computerworld), Top-3 Search Engine (Carnegie Mellon Industry.Net Awards), and, Top-10 Social Network (ranked among others such as LinkedIn) with millions of worldwide users, over 130,000 contributors, and, 200 PhD industry experts.


Worldwide top leadership programs such as the Harvard MBA, world leaders such as Microsoft founder Bill Gates, Big-4 CxOs, and, CIOs of the US Army, US Navy, and US Air Force, and, the U.S. Joint Chiefs of Staff of the Department of Defense including U.S. National Heads of C4 Systems and National Defense University have adopted, applied, and recommended our digital ventures transforming global digital practices.


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

AACSB

AACSB logo

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

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PROJECTS PORTFOLIO
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AI-ML-Computer Science-Quant Finance-Cryptography-Cyber Security Engineering Strategy to Execution:
Hi-Tech R&D Leading World-Leading Global AI-Machine Learning and Cyber, Finance, IT, Risk Practices

AI-Machine Learning, Cybersecurity-Cryptography, Quant Finance-Trading, Blockchain-Cloud Computing.
MIT-Princeton AI-ML-FinTech Expert: NSF Cybersecurity Expert: AI-Machine Learning MD : JP Morgan Quant : NYS CISO

2015-2019: 65 SSRN Top-10 Research Rankings: Top-2% SSRN Authors:
AI, Algorithms & Machine Learning; Anticipatory & Predictive Analytics:
Computer Science, Cybersecurity, Insurance, Quantitative Finance & Trading

Recent Research Presentations and Research Reports

*US Air Force HQ AI-Machine Learning Commercial Exchange: Pioneering Artificial General Intelligence: To Save the World
*AFRL Commercialization Academy: Building the Future of Artificial General Intelligence: Griffiss Cyberspace & Drone™
*MIT Computer Science & AI Lab AI-Machine Learning Executive Guide: AI, ML, DL, NLP, RPA & Cognitive Automation.
*Princeton University Quant Trading & FinTech Crypto Conferences Presentations: Sponsors: Goldman Sachs, Citadel .

*2019 Journal of Financial Transformation: Alternative Capital Markets: AI-ML Augmentation & Cyber Risk Management.
*2019 New York State Cyber Security Conference: AI-ML-GANs-DeepFakes: Preempting Cyber Risk of Deep Fakes.
*2016 New York State Cyber Security Conference: Advancing Beyond Predictive to Anticipatory Risk Analytics.
*2018 CFA Society Keynote: JP Morgan & Goldman Sachs Practices Case Studies: Model Risk Management with Auto-ML.
*2018 AFCEA C4I Cyber Conference: Cybersecurity Risk & Uncertainty Management: AI-ML Risk Management Controls.
*2018 MIT Sloan-Computer Sc. & AI Lab AI-Machine Learning Executive Guide including RPA & Cognitive Automation
*2018 Princeton FinTech & Quant Conference: Invited Research Presentation: AI-Machine Learning-Deep Learning MRM.
*2016 Princeton Quant Trading Presentation: Beyond Model Risk Management to Model Risk Arbitrage for FinTech Era.
*2015 Princeton Quant Trading Presentation: Future of Finance Beyond 'Flash Boys': Managing Uncertainty.
*2018 Journal of Operational Risk, March: Toward 'Cyber-Finance’ Cyber Risk Management Frameworks of Practice.
*2017 National Association of Insurance Commissioners Expert Paper, Cyber Risk Insurance beyond VaR Models.
*2017 IUP Journal of Computer Sciences, April, Quantitative Modeling of Trust and Trust Management Protocols.
*Stress Testing for Cyber Risks: Cyber Risk Insurance Modeling beyond Value-at-Risk: Risk, Uncertainty, & Profit.
*Toward Integrated Enterprise Risk Management, Model Risk Management & Cyber-Finance Risk Management.
*Bridging Networks, Systems and Controls Frameworks for Cybersecurity Curricula & Standards Development.
*Advancing Cognitive Analytics Using Quantum Computing for Next Generation Encryption.
*Invited Princeton Quant Trading Presentations: 'Rethinking Finance' for the Era of Global Networked Digital Finance.
*
Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: ERM to MRM.
*A Risk Management Framework for Penetration Testing of Global Banking & Finance Networks VoIP Protocols.
*CyberFinance: Why Cybersecurity Risk Analytics Must Evolve to Survive 90% of Emerging Cyber Financial Threats.
*Beyond 'Bayesian vs. VaR' Dilemma: How to Manage Risk (After Risk Management Has Failed) for Hedge Funds.
*Measuring & Managing Financial Risks with Improved Alternatives Beyond Value-at-Risk (VaR).

*Markov Chain Monte Carlo Models for High-Dimensionality Complex Stochastic Problems in Network Security.
*Risk, Uncertainty, & Profit for the Cyber Era: 'Knight Reconsidered': Model Risk Management in Cyber Risk Insurance.
*Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: ERM to Model Risk Management.
*Number Field Sieve Cryptanalytic Algorithms for Most Efficient Prime Factorization on Composites: Beyond RSA 1024.
*Future of Bitcoin & Statistical Probabilistic Quant Methods: Global Financial Regulation: Hong Kong Institute of CPAs.
*Bitcoin Protocol & Bitcoin Block Chain: Model of 'Cryptographic Proof' based Global Crypto-Currency Payment Systems.
*2015-2019 65 SSRN Top-10 Rankings: Computational Quant & Risk Analytics Algorithms Machine Learning Research.
*2008 AACSB International Impact of Research Report: Among Black-Scholes, Markowitz, Sharpe, Modigliani & Miller.

Top Wall Street Investment Banks Quantitative Finance Projects & FinTech Ventures

US Air Force HQ AI-Machine Learning Commercial Exchange: Pioneering AGI To Save the World
AFRL Commercialization Academy: Building the Future of AGI: Griffiss Cyberspace & Drone™.
MIT Computer Science & AI Lab AI-Machine Learning Executive Guide: AI, ML, DL, NLP, RPA.
Princeton: Future of Finance: 'Rethinking Finance' for Era of Global Networked Digital Finance.

2019 Journal of Financial Transformation: Alternative Capital Markets: AI-ML Augmentation & Cyber Risk Management.
2019 New York State Cyber Security Conference: AI-ML-GANs-DeepFakes: Preempting Cyber Risk of Deep Fakes.
2018 CFA Society Keynote: JP Morgan & Goldman Sachs Practices Case Studies: Model Risk Management with Auto-ML.
2018 AFCEA C4I Cyber Conference: Cybersecurity Risk & Uncertainty Management: AI-ML Risk Management Controls.
2018 MIT Sloan-Computer Sc. & AI Lab AI-Machine Learning Executive Guide including RPA & Cognitive Automation
2018 Princeton FinTech & Quant Conference: Invited Research Presentation: AI-Machine Learning-Deep Learning MRM.
2018 Journal of Operational Risk, March: Toward 'Cyber-Finance’ Cyber Risk Management Frameworks of Practice.
2017 National Association of Insurance Commissioners: Expert Paper: Cyber Risk Insurance Modeling
2016 Princeton Quant Trading Presentation: Beyond Model Risk Management to Model Risk Arbitrage for FinTech Era.
2015 Princeton Quant Trading Presentation: Future of Finance Beyond 'Flash Boys': Managing Uncertainty.
Quantitative Finance Risk Analytics Modeling Wall Street Investment Banks & VC Projects
Model Risk Management: Risk Management Analytics from 'Prediction' to 'Anticipation of Risk'
Quantitative Finance Risk Analytics, Econometric Analytics, Numerical Programming Models
Quantitative Finance Model Risk Management for Systemic-Tail Risks in Cyber Risk Insurance
JP Morgan Portfolio Optimization, VaR & Stress Testing: 17-Asset Class Portfolio
JP Morgan Portfolio Liquidity Risk Modeling Framework for $500-600Bn Portfolio
Bayesian VaR Beyond Value-At-Risk (VaR) Model Risks Exposed by Global Financial Crisis
Goldman Sachs Alumnus Asset Manager Large-Scale Data High Freq Econometric Models
Quantitative Finance, Risk Modeling, Econometric Modeling, Numerical Programming
Technologies of Computational Quantitative Finance & Risk Analytics and Risk Management
Algorithms & Computational Finance: C++, SAS, Java, Machine Learning, Signal Processing
Cybersecurity, Financial Protocols & Networks Protocols Analysis, and, Penetration Testing
Impact: Quantitative Finance, Quantitative Risk Analytics & Risk Management Projects
Digital Social Enterprise Ventures Creating Trillion $ Practices for Hundreds of Millions

Named among FinTech Finance & IT Nobel laureates for Real World Impact of Research
FinTech Innovations: Model Risk Arbitrage, Open Systems Finance, Cyber Finance, Cyber Insurance
AACSB International Reports Impact of Research among Black-Scholes, Markowitz, Sharpe
Research Impact Recognized among Finance & Information Technology Nobel laureates
65 SSRN Top-10 Rankings: AI-Machine Learning; Cybersecurity; Computer Science, Quant Trading
FinTech Innovations: Model Risk Arbitrage, Cyber Finance, Cyber Risk Insurance Modeling
Computational Quantitative Finance Modeling & Risk Management Research Publications
Model Risk Management of Cyber Risk Insurance Models & Quantitative Finance Analytics
Thesis on Ongoing Convergence of Financial Risk Management & Cyber Risk Management
U.S. Federal Reserve & Office of the Comptroller of the Currency Model Risk Guidance
Bayesian VaR Beyond Value-At-Risk (VaR) Model Risks Exposed by Global Financial Crisis
Markov Chain Monte Carlo Models & Algorithms to Enable Bayesian Inference Modeling
OCC Notes Cybersecurity Risk & Cyber Attacks as Key Contributor to Banks' Financial Risk
Future of Bitcoin & Statistical Probabilistic Quantitative Methods: Global Financial Regulation
Models Validation Expert Panels: IT, Operations Research, Economics, Computer Science

Global, National, & Enterprise CxO Level FinTech-Cyber-Risk Analytics Ventures
CxO Think Tank that pioneered 'Digital' Management of Risk, Uncertainty, & Complexity
CxO Consulting: Global, National & Corporate Risk Management Practices Leadership
CxO Guidance: Cyber Defense & Finance-IT-Risk Management: Uncertainty & Risk
CxO Keynotes: Conference Board, Silicon Valley, UN, World Economy: Uncertainty & Risk
The Future of Finance Project Leading Quantitative Finance Practices at Elite Conferences
The Griffiss Cyberspace Cybersecurity Venture Spans Wall Street and Hi-Tech Research
UN Quantitative Economics Expert Paper & Keynote on Global Economists Expert Panel
National Science Foundation Cybersecurity & Cybercomputing National Expert Panels
Digital Social Enterprise Innovation Ventures Pioneering the Future of Risk and Quant
Global Footprint of Worldwide World-Leading CxO Risk Management Ventures & Practices

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