Griffiss Cyberspace : Princeton FinTech Crypto Expert : MIT AI-Machine Learning Expert : Wall Street Hedge Funds Quant
Impact: [AI & Machine Learning : Cybersecurity & Cryptography : Computational Quant Finance : Digital Transformation]
FinRM™: [Download our Research:
Future Of Finance™ : MIT AI-ML-NLP-RPA : Princeton FinTech-Quant-Crypto]
Who's Who in America®, Who's Who in the World®, Who's Who in Finance & Industry®, Who's Who in Science & Engineering®
MIT: AI & Machine Learning: Industry Expert: MIT AI-Machine Learning Executive Guide including RPA & Cognitive Automation.
Princeton University: Invited Presentations: AI, Machine Learning, Deep Learning: Princeton Quant FinTech Presentations.
Ranked among Finance & IT Nobel Laureates in AACSB and Scientific Impact Studies for Real World Impact of Research.

The Griffiss Cyberspace: Pioneering Cyber Finance
Spanning Wall Street and National Cyber Defense:

Future of Cyber Risk Spans Wall Street Hedge Funds & DoD-AFRL.


"Almost all risks characterizing today's information-based financial products and services, financial markets, financial exchanges, financial currencies, and financial economies are however first and foremost Information risks and Cyber risks. Such Information risks and Cyber risks may not only escalate traditional risks but may also subsume traditional financial risks as brick-and-mortar institutions such as NYSE 'trading floors' become 'museums of financial history'."

-- Dr. Yogesh Malhotra on the launch of The Griffiss Cyberspace™,
Summer 2013, Griffiss Cyberspace™
, Rome, New York, U.S.A.

World's Top-Ranked AI & Machine Learning Engineering R&D:
Cybersecurity Engineering-Quant Finance & Financial Engineering:
63 Top-10 SSRN Research Rankings, Top 3% SSRN Authors

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

Google  IBM  Intel  Microsoft

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

Since the inception of the WWW, we have led world-leading Digital Transformation and Cyber Risk Strategies and Practices followed and recommended in their strategies and polices by worldwide leadership institutions such as the Harvard MBA, IT visionaries such as Microsoft founder Bill Gates, and, Big-4 CxOs, and CxOs of the US Army, US Navy, and US Air Force. Having led global ventures, programs, projects, and, teams leading global development and deployment of Global Financial Systems for Bi3-3 IT and Big-3 Banking and Finance firms, we founded world's Top Digital Site (as ranked by Computerworld), world's Top-3 Search Engine (as ranked in Carnegie Mellon Industry.Net Awards), and, world's Top-10 Social Network (ranked among others such as LinkedIn in global industry surveys).

As pioneers of Digital Transformation, we were invited to lead the Silicon Valley CEOs and Venture Capitalists for shaping the future vision of the development of global digital WWW enterprises on the "Wild Wild Web." We have also shaped global and national level Digital Transformation policies as invited global experts for global organizations such as the United Nations as well as the United States Federal government and other major world governments and most advanced digital nations of the world across North America, Europe, and, Asia.

Having advanced the global Risk Management Strategies and Technologies for the top Wall Street investment banks and hedge funds with $1 Trillion AUM, we advanced upon our long-standing leadership across both Global Finance and Global Defense, to launch Griffiss Cyberspace™ based in the Griffiss Air Force Base, Griffiss Technology Park, Rome, New York.

The Griffiss Cyberspace™ marks the Future of the World wherein all key Risks being Cyber Risks shall be material to the future digital survival of global national economies and global financial systems and institutions including global financial markets and exchanges, as well as the future physical survival of the world's nations and states increasingly dependent upon and driven by hyper-velocity and hyper-connectivity of Global Information Infrastructures and National Information Infrastructures development of which we have also led in pioneering global practices leadership roles.


Latest AI-Machine Learning-Cybersecurity-Crypto R&D Updates

Our Background: Pioneering Digital: We create the digital Future™

World's Top-Ranked AI-Algorithms-Machine Learning Cybersecurity Applied R&D Practices Program

1993-2018: R&D: World's Top-Ranked Digital Transformation R&D Leading Global Digital Practices

2015-2018: R&D: AI-Algorithms-Machine Learning: 63 Top-10 SSRN Rankings, Top-3% SSRN Authors

2018 Armed Forces Communications and Electronics Association (AFCEA) C4I and Cyber Conference
AI, Machine Learning & Deep Learning Risk Management & Controls: Beyond Deep Learning and Generative Adversarial Networks: Model Risk Management in AI, Machine Learning & Deep Learning:
https://ssrn.com/abstract=3193693 .


2018 Princeton Fintech, Crypto, & Quant Conference, Princeton University
AI, Machine Learning & Deep Learning Risk Management & Controls Beyond Deep Learning and Generative Adversarial Networks: Model Risk Management in AI, Machine Learning & Deep Learning:
https://ssrn.com/abstract=3167035 .

2018 MIT AI-Machine Learning Executive Guide including NLP, RPA, & Cognitive Automation
Management & Leadership: MIT AI-Machine Learning Executive Guide: AI, ML, Natural Language Processing (NLP), Robotics, Robotic Process Automation (RPA), Cognitive Automation:
https://www.linkedin.com/pulse/dear-ceo-ai-machine-learning-advice-top-industry-leading-malhotra/ .

2018 Journal of Operational Risk
Bridging Networks, Systems and Controls Frameworks for Cybersecurity Curriculums and Standards Development
https://ssrn.com/abstract=3149414 .

2018 Invited AI-ML Cybersecurity Intelligence, Surveillance, & Reconnaissance (ISR) Presentation
Cognitive Computing for Anticipatory Risk Analytics in Intelligence, Surveillance, & Reconnaissance (ISR): Model Risk Management in Artificial Intelligence & Machine Learning
https://ssrn.com/abstract=3111837 .

2017 National Association of Insurance Commissioners (NAIC) Expert Paper
Advancing Cyber Risk Insurance Underwriting Model Risk Management beyond VaR to Pre-Empt and Prevent the Forthcoming Global Cyber Insurance Crisis:
https://ssrn.com/abstract=3081492 .

2017 IUP Journal of Computer Sciences
Quantitative Modeling of Trust and Trust Management Protocols in Next-Generation Social Networks-Based Wireless Mobile Ad Hoc Networks:
https://ssrn.com/abstract=2983573 .

2016 Princeton Quant Trading Conference, Princeton University
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:
https://ssrn.com/abstract=2766099 .

2016 New York State Cyber Security Conference Presentation, Sponsor: State of New York Governor
CyberFinance: Why Cybersecurity Risk Analytics Must Evolve to Survive 90% of Emerging Cyber Financial Threats, and, What You Can Do About It? Advancing Beyond 'Predictive' to 'Anticipatory' Risk Analytics:
https://ssrn.com/abstract=2791863 .

2015 US National Chief Security Officers & Chief Risk Officers Plenary Keynote
Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: Enterprise Risk Management to Model Risk Management: Understanding Vulnerabilities, Threats, & Risk Mitigation:
https://ssrn.com/abstract=2693886 .

2015 Princeton Quant Trading Conference, Princeton University
Future of Finance Beyond 'Flash Boys': Risk Modeling for Managing Uncertainty in an Increasingly Non-Deterministic Cyber World: Knight Reconsidered: Risk, Uncertainty, and Profit for the Cyber Era:
https://ssrn.com/abstract=2590258 .

2015 New York State Cyber Security & Engineering Technology Association Conference
Toward Integrated Enterprise Risk Management, Model Risk Management & Cyber-Finance Risk Management: Bridging Networks, Systems and Controls Frameworks:
https://ssrn.com/abstract=2792629 .

2015 New York State Cyber Security & Engineering Technology Association Conference
Toward Integrated Enterprise Risk Management, Model Risk Management & Cyber-Finance Risk Management: Bridging Networks, Systems and Controls Frameworks (Paper):
https://ssrn.com/abstract=2792636 .


World's Top-Ranked AI-Algorithms-Machine Learning Cybersecurity Applied R&D Practices Program

FutureOfFinance.Org:
2015-2018: R&D: AI-Algorithms-Machine Learning: 63 Top-10 SSRN Rankings, Top-3% SSRN Authors

2015 Post-Doctoral R&D Thesis: Pioneering the Future of Network & Computer Security:
Stress Testing for Cyber Risks: Cyber Risk Insurance Modeling beyond Value-at-Risk (VaR):
Risk, Uncertainty, and, Profit for the Cyber Era

https://ssrn.com/abstract=2553547 .

2013 First Bitcoin Technical Report on 'Cryptographic Proof of Work' preceding Goldman Sachs
Bitcoin Protocol: Model of ‘Cryptographic Proof’ Based Global Crypto-Currency & Electronic Payments System:
https://ssrn.com/abstract=2911645 .

2014 Bitcoin Interview: Hong Kong Institute of Certified Public Accountants
Bitcoin Protocol: Model of ‘Cryptographic Proof’ Based Global Crypto-Currency & Electronic Payments System:
https://ssrn.com/abstract=2911623 .

2015 Advancing Cognitive Analytics Using Quantum Computing for Next Generation Encryption
Advancing Cognitive Analytics Using Quantum Computing for Next Generation Encryption:
https://ssrn.com/abstract=2911645 .

2015 Number Field Sieve Cryptanalysis Algorithms for Most Efficient Prime Factorization on Composites
Number Field Sieve Cryptanalysis Algorithms for Most Efficient Prime Factorization on Composites:
https://ssrn.com/abstract=2553544 .

2015 Markov Chain Monte Carlo Models, Gibbs Sampling, & Metropolis Algorithm for High-Dimensionality Complex Stochastic Problems
Markov Chain Monte Carlo Models, Gibbs Sampling, & Metropolis Algorithm for High-Dimensionality Complex Stochastic Problems:
https://ssrn.com/abstract=2553537 .

2016 Center for Teaching Innovation and Excellence: CCC Teaching Innovation & Excellence Retreat
If You Build It, They Will Come: Getting U.S. Vocational Colleges to Deliver 'Job Ready' Graduates for 'Real Jobs' of the 'Real World':
https://ssrn.com/abstract=3147046 .

 

"Unlike other risks, Cyber Risk poses a uniquely different set of exposures as it is intertwined with the medium and the message in the increasingly digital world of networked communications... "

- Dr. Yogesh Malhotra, January 19, 2015, in the Risk Futures Report of theFutureOfFinance.org venture:
Future of Finance, Risk, and Quant: ‘Knight Reconsidered’: Risk, Uncertainty, and, Profit for Cyber Era

- Projects: Cybersecurity, Financial Protocols & Networks Protocols Analysis, and, Penetration Testing
- Reports: Quantitative Computational Finance-Risk Modeling & Risk Management Research Papers

- Venture: Griffiss Cyberspace Cybersecurity Venture Aims to Span Wall Street and Hi-Tech Research

 

To guide the global practices of Cyber Risk and Cyber Risk Assessment, Dr. Yogesh Malhotra's post-doctoral research guided by the advisory committee of Distinguished Computer Scientists, Mathematicians, &, Physicists affiliated with AFRL and NYS-CRI defines the risk as well as the means for measuring progress by combining ways and means to achieve defined ends.

Access here:
Model Risk Management of Cyber Insurance Models Using Quantitative Finance and Advanced Analytics: Risk, Uncertainty, and Profit for the Cyber Era
by
Dr. Yogesh Malhotra.

 

CISOs must first define the risk, cybersecurity analyst tells Congress

"To combat continued and growing threats, cybersecurity officials should utilize a two-step process, said a network security firm executive speaking before Congress."

"Step one is to define the risk, and step two is to measure progress by combining ways and means to achieve defined ends," Richard Bejtlich, chief security strategist at FireEye, told the House Energy and Commerce subcommittee on oversight and investigations March 3. "This is exactly the role of strategic thinking, meaning the application of strategies, campaigns, tactics and tools to achieve organizational goals."
-- FierceGovernmentIT, March 5, 2015

 

FireEye

White House

FierceGovernmentIT

"[The] scale and breadth of the attacks — and the lack of clarity about the hackers’ identity or motive — show not only the vulnerability of the most heavily fortified American financial institutions but also the difficulty, despite billions of dollars spent in detection technology, in finding the sources of attack... The data breach at JPMorgan Chase was amongthe most troubling breaches ever,” [Illinois Attorney General] said, adding that it proved “there is probably no database that cybercriminals cannot compromise.”"
-- [President] Obama Had Security Fears on JPMorgan Data Breach, New York Times, Wednesday, 8 Oct, 2014 | 2:08 PM.

"In our existing environment and at our company, cybersecurity attacks are becoming increasingly complex and more dangerous," Dimon said. "The threats are coming in not just from computer hackers ... but also from highly coordinated external attacks both directly and via third-party systems."
-- Jamie Dimon, Chairman & CEO, JP Morgan Chase & Co., JPMorgan cyberattack hits 76M households, CNBC, Friday, 3 Oct 2014 | 1:51 AM ET.

"When it comes to security, the best defense is offense; you need to test the effectiveness of your own security practices before a real intruder does it for you...The best defense against network vulnerabilities is a great proactive offense. You must test your networks and systems before someone else does."

How to Do It:
- Risk Management Framework for Stress Testing Banking Network Protocols
- Markov Chain Monte Carlo Models for High-Dimension Complex Stochastics

- Tools and Techniques for Penetration Testing and Ethical Hacking

"This is going to be a big deal and there will be a lot of battles... We need a lot of help."
-- Jamie Dimon, Chairman & CEO, JP Morgan Chase & Co., Dimon Calls for Help on Cyberattacks, New York Times , Friday, 10 Oct 2014 | 3:22 PM.

White House

 

JP Morgan

CNBC    New York Times

 

 

 

 

 

 

 

 

 

Benjamin Lawsky, superintendent of the New York Department of Financial Services, said that cyberterrorism is the most significant issue that DFS will work on in the next year, saying the possibility of an “armageddon-like” cyberattack is one of his primary concerns as a financial regulator. “I worry that we’re going to have some sort of major cyber-event in the financial system that’s going to cause us all to shudder,” Lawsky said... "We like to say that to some extent the failures to detect the 9/11 plot were a failure of imagination and communication," he said. "I'm worried about the same thing here—that an event will happen and we'll look back and say, 'How did we not do more?'

-- NY regulator warns against looming cyber 9/11, CNBC, Sep 22 , 2014 12:47 p.m. ET.

New York

CNBC    Bloomberg

 

"Treasury Secretary Jacob Lew is calling for financial firms to do more to combat cybersecurity threats..."Far too many hedge funds, asset managers, insurance providers, exchanges, financial market utilities, and banks should and could be doing more,"... attacks on the US financial sector can come from a myriad of sources, including state sponsored groups, cyber criminals, politically motivated hackers and others. No matter the source... a successful attack on the US financial system "would compromise market confidence, jeopardize the integrity of data, and pose a threat to financial stability."
-- Treasury Secretary Calls for Better Cybersecurity at Financial Firms - Jacob Lew Says Successful Attacks 'Would Compromise Market Confidence', The Wall Street Journal, July 15, 2014 6:54 p.m. ET.

New York

Wall Street Journal

 

"Based on available evidence, it is not improbable that the current officially "recommended" most widely used global standard of encryption (RSA-1024) may have already been compromised."
-- Dr. Yogesh Malhotra in Number Field Sieve Cryptanalysis Algorithms for Most Efficient Prime Factorization on Composites presentation 15 miles from the Air Force Research Lab, May 1, 2013.
 


Malhotra, Y. Cryptology beyond Shannon’s Information Theory: Preparing for When the ‘Enemy Knows the System’ with Technical Focus on Number Field Sieve Cryptanalysis Algorithms for Most Efficient Prime Factorization on Composites, Published by the Global Risk Management Network, LLC, May 3, 2013.

 


 

 

'Changes to our SSL Certificates', Thursday, May 23, 2013 8:00 AM, Posted by Google Stephen McHenry, Director of Information Security Engineering: "This encryption needs to be updated at times to make it even stronger, so this year our SSL services will undergo a series of certificate upgrades—specifically, all of our SSL certificates will be upgraded [from RSA-1024] to 2048-bit keys by the end of 2013. We will begin switching to the new 2048-bit certificates on August 1st..."

"Google just announced that its HTTPS web pages will be ditching 1024-bit RSA keys in favour of 2048 bits."
- Anatomy of a change - Google announces it will double its SSL key sizes, nakedsecurity, May 27, 2013.

Computational & Quantitative Finance Risk Management Impact...

Google

"Operational risks stemming from breakdowns attributed to people, process and technology have become increasingly apparent in banking over the years. "

- U.S. Banks’ Model Risk Worse than Ever, Thanks to Basel III, American Banker, July 11, 2013.

Advancing Beyond VaR Model Risks Exposed by the Financial Crisis...

American Banker


"Hackers and other cybercriminals pose as grave a threat to the financial system as the recent financial crisis if banks and government officials don't mount an effective response, a top U.S. official warned Wednesday. The growing sophistication of cyberattacks spawned by criminal organizations, hackers and other foreign governments could pose a systemic risk to the financial system, Comptroller of the Currency Thomas Curry said in a speech in Washington. "The financial-services industry is one of the more attractive targets for cyberattacks, and, unfortunately, the threat is growing," Mr. Curry said. "

- U.S. Official Warns on Threat to Banks From Cyberattacks: Comptroller of Currency Says Systemic Threats are Growing, Wall Street Journal, September 18, 2013.

Cybersecurity Risk as Key Contributor to Banks' Financial Risk...

Office of the Comptroller of the Currency


"On Sept. 18, the Federal Reserve shocked the financial world with its decision not to scale back its level of support to the economy as most market participants expected... By one estimate, as much as $600 million in assets changed hands in the milliseconds before most other traders in Chicago could learn of the Fed's September surprise... The precise timing of the release is crucial because information can only travel as fast as the speed of light... like a Fed decision—released in Washington takes as much as 7 milliseconds to travel to Chicago, where futures and other assets are traded. And because high-speed trading firms are now able to execute trades at the millisecond level, there is a brief window of time in which information can be publicly available in Washington but is still traveling to Chicago, where computers won't receive it until milliseconds later." - Some traders got 'no taper' decision news earlier, CNBC, 24 Sep 2013.

Black Swans and Federal Reserve/OCC Model Risk Guidance SR11-7...

US Federal Reserve System


"On Monday afternoon, seven New York State senators gathered at the Griffiss Institute for a cyber security hearing. The hearing, entitled Defending New York from cyber attacks covered various topics within the cyber security spectrum. There are six subcommittees under the cyber security topic: Banking, Veterans, Homeleand Security & Military Affair, Insurance, Commerce, Economic Development & Small Business, Crime VIctims, Crime & Correction, Select Committee on Science, Technology, Incubation & Entrepreneurship."

- Cyber security conference held On Griffiss, Rome Observer, Monday, November 18, 2013.

Griffiss Cyberspace Venture Spans Wall Street & Hi-Tech Quant Research...

Rome Observer

 

"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)

CxO Leadership Pioneering Global Cyber Risk Management Practices...

Us DoD Under Secretary of Defenese

 

"We are observing diminishing credibility of information technologists. A key reason for this is an urgent need to understand how technologies, people and processes together combine to influence enterprise performance. - Yogesh Malhotra, Journal of Knowledge Management"

- United States Air Force Research Lab CIO Col. Tom Hamilton
in presentation to the Armed Forces Communications Electronics Association titled 'Enterprise IT Solutions Are Tough But They're Tougher If You're Stupid'.

CxO Leadership Pioneering Finance-IT-Risk Management Practices...

Griffiss AFRL

 

"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 "

- U.S. Defense Information Systems Agency Interoperability Directorate.

Global Cyber Defense, Finance & IT Risk Management CxO Guidance...

Griffiss AFRL

Griffiss Cyberspace (GriffissCyberspace.com) Cybersecurity Venture Aims to Span Wall Street and Hi-Tech Research:
World-Leading Thought Leadership of Global Defense Bearing on Global Finance Cybersecurity

Griffiss Cyberspace, our latest Cyber Risk Management venture in the Griffiss Air Force Base area of Rome, New York, advances our global CxO leadership renowned for pioneering U.S. and worldwide risk practices in IT and Cyber Risk Management. It aims to connect the dots between Wall Street quantitative finance and quantitative risk modeling research and practices and latest generation computational and mathematical research and practices in cybersecurity and cyber risk management of critical national information infrastructures (NII). Its socioeconomic objective is to contribute to the regional economic development of Central New York and advancement of cybersecurity and cyber risk management practices related to global banking and financial systems and other critical NII.

Our prior research followed by the nation's top signals intelligence (SIGINT) expert agencies NSA and CIA, such as the computer science journal Expert Systems with Applications top-ranked paper on Cyber risk management human and machine learning expert systems & AI (2001), advanced upon Shannon's Information Theory. Inspired by our communication with the Genetic Algorithms pioneer Dr. John Holland (1995) at the Santa Fe Institute at the time, it anticipated and addressed many questions raised about quantitative computational models in the aftermath of the 2008-2009 Global Financial Crisis more than a decade ahead of time. Our recent Cryptanalysis research focus on Number Field Sieve Cryptanalysis Algorithms for Prime Factorization on Composites proposed next generation robust encryption standards by advancing Non-Deterministic reformulations of both Kerckhoffs's principle and Shannon's maxim underlying modern encryption standards and technologies.

Our two-decade-long Cyber Risk Management applied research and global practice ventures also produced and published one of the most influential seminal research papers on the US National Information Infrastructure (NII) in 1995 used as a most recommended resource by worldwide and UN Economists, Statisticians, and Policymakers and top programs such as the University of California Berkeley.

US Office of the Comptroller of the Currency recently underscored Cybersecurity as ‘Fastest-Growing Risk to Banks’ that must be accounted for like other Financial Risks such as Credit Risk or Market Risk (see, for example: "OCC Sees Cybersecurity as Fastest-Growing Risk to Banks", American Banker, June 18, 2013). The growing sophistication of cyberattacks could pose a systemic risk to the financial system, Comptroller of the Currency Thomas Curry noted in his subsequent speech, observing that the "financial-services industry is one of the more attractive targets for cyberattacks, and, unfortunately, the threat is growing." (see, for example 'U.S. Official Warns on Threat to Banks From Cyberattacks: Comptroller of Currency Says Systemic Threats are Growing', Wall Street Journal, September 18, 2013.)

Reflecting on OCC's remark that the specific cyberattack and cybersecurity related risks represent 'operational risks', it seems important to update our perspectives characterizing financial risks in traditional terms such as Credit Risks, Market Risks, Operational Risks, etc. Such definitions might have reflected the true nature of financial risks in the past. Almost all risks characterizing today's information-based financial products and services, financial markets, financial exchanges, financial currencies, and financial economies are however first and foremost Information risks and Cyber risks. Such Information risks and Cyber risks may not only escalate traditional risks but may also subsume traditional financial risks as brick-and-mortar institutions such as NYSE 'trading floors' become 'museums of financial history'.
- Dr. Yogesh Malhotra,
Summer, 2013

 

 

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

Recent Research Presentations and Research Reports
*2018 Princeton FinTech & Quant Conference: Invited Research Presentation: AI-Machine Learning-Deep Learning MRM.
*2018 MIT Sloan-Computer Sc. & AI Lab AI-Machine Learning Executive Guide including RPA & Cognitive Automation
*2018 Journal of Operational Risk, March: Toward 'Cyber-Finance’ Cyber Risk Management Frameworks of Practice.
*2017 National Association of Insurance Commissioners, June , Advancing Cyber Risk Insurance beyond VaR Models.
*2017 IUP Journal of Computer Sciences, April, Quantitative Modeling of Trust and Trust Management Protocols.
*Stress Testing for Cyber Risks: Cyber Risk Insurance Modeling beyond Value-at-Risk: Risk, Uncertainty, & Profit.
*Toward Integrated Enterprise Risk Management, Model Risk Management & Cyber-Finance Risk Management.
*Bridging Networks, Systems and Controls Frameworks for Cybersecurity Curricula & Standards Development.
*Advancing Cognitive Analytics Using Quantum Computing for Next Generation Encryption.
*Invited Princeton Quant Trading Presentations: 'Rethinking Finance' for the Era of Global Networked Digital Finance.
*2016 Princeton Quant Trading Presentation: Beyond Model Risk Management to Model Risk Arbitrage for FinTech Era.
*2015 Princeton Quant Trading Presentation: Future of Finance Beyond 'Flash Boys': Managing Uncertainty.
*
Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: ERM to MRM.
*A Risk Management Framework for Penetration Testing of Global Banking & Finance Networks VoIP Protocols.
*CyberFinance: Why Cybersecurity Risk Analytics Must Evolve to Survive 90% of Emerging Cyber Financial Threats.
*Beyond 'Bayesian vs. VaR' Dilemma: How to Manage Risk (After Risk Management Has Failed) for Hedge Funds.
*
Measuring & Managing Financial Risks with Improved Alternatives Beyond Value-at-Risk (VaR).
*Markov Chain Monte Carlo Models for High-Dimensionality Complex Stochastic Problems in Network Security.
*Risk, Uncertainty, & Profit for the Cyber Era: 'Knight Reconsidered': Model Risk Management in Cyber Risk Insurance.
*Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: ERM to Model Risk Management.
*Number Field Sieve Cryptanalytic Algorithms for Most Efficient Prime Factorization on Composites: Beyond RSA 1024.
*Future of Bitcoin & Statistical Probabilistic Quant Methods: Global Financial Regulation: Hong Kong Institute of CPAs.
*Bitcoin Protocol & Bitcoin Block Chain: Model of 'Cryptographic Proof' based Global Crypto-Currency Payment Systems.
*2015-2018 63 SSRN Top-10 Rankings: Computational Quant & Risk Analytics Algorithms Machine Learning Research.
*2008 AACSB International Impact of Research Report: Among Black-Scholes, Markowitz, Sharpe, Modigliani & Miller.

Top Wall Street Investment Banks Quantitative Finance Projects & FinTech Ventures
Princeton: Future of Finance: 'Rethinking Finance' for Era of Global Networked Digital Finance
2017 National Association of Insurance Commissioners: Expert Paper: Cyber Risk Insurance Modeling
2016 Princeton Quant Trading Conference: Invited Research Presentation: Model Risk Arbitrage
2015 Princeton Quant Trading Conference: Invited Research Presentations: Future of Finance
Quantitative Finance Risk Analytics Modeling Wall Street Investment Banks & VC Projects
Model Risk Management: Risk Management Analytics from 'Prediction' to 'Anticipation of Risk'
Quantitative Finance Risk Analytics, Econometric Analytics, Numerical Programming Models
Quantitative Finance Model Risk Management for Systemic-Tail Risks in Cyber Risk Insurance
JP Morgan Portfolio Optimization, VaR & Stress Testing: 17-Asset Class Portfolio
JP Morgan Portfolio Liquidity Risk Modeling Framework for $500-600Bn Portfolio
Bayesian VaR Beyond Value-At-Risk (VaR) Model Risks Exposed by Global Financial Crisis
Goldman Sachs Alumnus Asset Manager Large-Scale Data High Freq Econometric Models
Quantitative Finance, Risk Modeling, Econometric Modeling, Numerical Programming
Technologies of Computational Quantitative Finance & Risk Analytics and Risk Management
Algorithms & Computational Finance: C++, SAS, Java, Machine Learning, Signal Processing
Cybersecurity, Financial Protocols & Networks Protocols Analysis, and, Penetration Testing
Impact: Quantitative Finance, Quantitative Risk Analytics & Risk Management Projects
Digital Social Enterprise Ventures Creating Trillion $ Practices for Hundreds of Millions

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

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