Dr.-Eng.-Prof. Yogesh Malhotra "Yogi"

New York State: "Join Dr. Yogi Malhotra to get up to speed on Cloud Technology.": AWS Cloud Computing Partner Practices Workshops 2,000 Hrs

YogeshMalhotra.com Dr.Yogesh.Malhotra@gmail.com +1-(646)-770-7993 - United States Citizenship - New York State Resident
Who's Who in America®, Who's Who in the World®, Who's Who in Finance & Industry®, Who's Who in Science & Engineering® Since 1999
AWS Partner: Silicon Valley-Wall Street-Pentagon VC Boards-CEO Teams Mentor: Cloud-Networks-AIOps-CyberOps-MLOps-DevSecOps

US Air Force-AFRL Demo Day New York State IDEA Award Winning Know-Build-Monetize™ Ventures: AIMLExchange.com: BRINT.com: C4I-Cyber.com
R&D Impact Among Artificial Intelligence-Quant Finance Nobel Laureates Herbert Simon, Black-Scholes, Sharpe, Markowitz | SSRN 128 Top-10 R&D Rankings: > 17,500 Downloads
World’s Top-Ranked Knowledge Management Engineer & Top-3 Knowledge Management Scholar-Practitioner – Drexel University Survey: Google Scholar h-index 38, Citations > 10,000

VC-PE CEO-CxO Teams Mentor: Biography: https://yogeshmalhotra.com/bio.html - LinkedIn: - https://linkedin.com/in/yogeshmalhotra - Resume: https://yogeshmalhotra.com/Resume.pdf
MIT Computer Science & AI Lab - Princeton University - Carnegie Mellon University - Kellogg Executive Education Faculty-SME
R&D Impact Among Artificial Intelligence-Quant Finance Nobel Laureates Herbert Simon, Black-Scholes, Sharpe, Markowitz
Stanford Machine Learning Specialization AWS Academy Educator: AWS Machine Learning University SUNY Lumen Circles Fellow
MIT Computer Science & AI Lab-MIT Sloan School of Management: Artificial Intelligence & Strategy Executive Education Faculty
Princeton University Quantitative Finance & Trading and FinTech Crypto Presentations: AI-ML Risk Management Controls SME

Carnegie Mellon University: Digital Transformation & Knowledge Management Executive Education Faculty
Kellogg School of Management: Digital Transformation & Knowledge Management Executive Education Faculty

Kellogg School of Management: Executive Education: PRMIA Quant Finance-Quantitative & Qualitative Risk Management: VaR SME
University of California, Berkeley: Haas School of Business: MS Financial Engineering Executive Education Courses
Post-Doctoral R&D AI-ML-Cyber-Crypto-Quantum-Quant Finance, Top-10 IT-AI-Quantitative Methods-Risk Management-Controls PhD,
MS-Quantitative Finance, MS-Computer Science, MS-Network and Computer Security, MS-Accounting, MBA-Econometrics, CPA Education
Professional Certifications and Credentials of Practice-Related Continuing Education: Including Pearson-Credly Accessible Certifications
Chartered Engineer & Life Member: The Institution of Engineers (India)
, Since 1989
Certified Computing Professional-Certified Data Professional, Since 1993
CISSP - Certified Information Systems Security Professional, Since 2005
CISA - Certified Information Systems Auditor, Since 2007
CEH - Certified Ethical Hacker - Since 2014, CEH Hall of Fame Finalist 2023
AWS Certified Machine Learning - Specialty + AWS Certified Security - Specialty
AWS Certified Solutions Architect - Associate + AWS Certified Cloud Practitioner

Summary

Silicon Valley VCs-Wall Street Hedge Funds-Pentagon Joint Chiefs VC-PE Teams Coach-Mentor
AI-Quantum-Cloud-Security-Networks Pioneer: CIO, Fortune, Inc., Wall Street Journal

More: https://www.amazon.com/stores/Yogesh-Malhotra/author/B001K80G96 .

Silicon Valley's 'Next Big Thing': Know-Build-Monetize™ Networks: "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 over 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..."

- Dr. Yogesh Malhotra, Founder, Know-Build-Monetize™ Networks: YogeshMalhotra.com : AIMLExchange.com : BRINT.com : C4I-Cyber.com : We Create the Digital Future™... You Can Too! Let's Show You How!

We have been DOING so starting with beta of first WWW browser in early 1990s: Join our Silicon Valley-Wall Street-Pentagon-Global Digital

CEO Networks with Early Adopters such as Goldman Sachs:

AWS Academy Educator-MIT/Princeton AI-ML-Quantum SME Building AI Practices Beyond Stanford AI-ML-DL

Amazon Web Services (AWS)

2023 - Present (1 year)

As AWS Partner, we advanced beyond Stanford's AI-ML DeepLearning.AI focus to post Generative AI-Future of AI-ML, building the Future of AI-Machine Learning, Information Systems and Computer

Science starting with building-delivering world-leading post-GenAI AI-ML Graduate and Undergraduate Computer Science-Engineering courses on AI-Machine Learning and AWS Practices.

CS 495: Artificial Intelligence & CS 542: Machine Learning: Built, taught, and delivered both Graduate and Undergraduate College of Engineering-Computer Science courses on the Future of Artificial Intelligence (AI) and Machine Learning (ML) with particular emphasis on our world-leading Global Risk Management Network, LLC practices leading AI-ML as well as Risk Management R&D and practices, networks, ventures, and technologies for last 30-years. First, we advanced beyond the AI-ML Stanford Computer Science & Engineering DeepLearning.AI curricular focus on the legacy of 'Neural Networks' to address large-scale real-world failures of such systems as global experts with R&D ranked and recognized for impact among AI and Quant-Finance Nobel laureates on those themes. Second, we analyzed and built upon the latest cutting-edge Generative AI and Machine Learning practices being built and released contemporaneously by the world-leading AI-ML-Engineering technology companies such as Amazon-AWS to address Quantum Uncertainty, Dynamic Uncertainty and Adversarial Uncertainty Risk Management focus on which our practices have documented lead on the global Risk Management standards such as ISO31000 by over 25-years as published in recent research journal articles. Third, we continued our thrust on Computer Science & Systems Engineering advancement of ‘Data-Driven’ AI-ML to ‘Network-Centric’ Management of Dynamic Change, Quantum Uncertainty and Complexity as Self-Adaptive Complex Systems & Chaos Engineering pioneer recognized in the global press such as The New York Times and The Wall Street Journal.

AWS Machine Learning University: Building Future of Automated-Software Development-Coding Practices

Amazon Web Services (AWS)

2024 - Present (less than a year)

AWS Machine Learning University: Building Future of Automated-Software Development-Coding Practices

AWS Machine Learning University Faculty Development Boot Camps Focus on Fast-Forwarding the Development of Global Software Development Practitioners-Instructors putting in Practice the Re- Thinking of the Roles of Human Intelligence and Artificial Intelligence in Augmented AI Automated-

Software Development-Coding Practices and Technologies as AWS Academy Educator focused on global institutional enablement of AI-ML Faculty-Technologies-Practices-Programs-Courses

Development Practices for global Digital Transformation of Higher Education Development and Delivery industry practices.

AI Will Transform the Global Economy. How We Make Sure It Benefits Humanity : https://lnkd.in/eYd- TGDU

Digital Disruption Beyond Generative AI & Large Language Models : Building Next Generation #Human #Intelligence, #Machine Intelligence, Human-Machine Intelligence #Industries-#Professions: While posing historically unprecedented #threat of #displacement of #human #jobs, the latest Post-#GenAI #AI-#ML developments also offer the greatest #opportunity for #Digital #Disruption of global worldwide #Intelligence, #Knowledge, & #Learning based #Industries, #Occupations, #Professions.

We continue Building the Post-Generative AI Digital Future: https://lnkd.in/eAUukH7K as the #DigitalDisruption #Pioneer: https://lnkd.in/ecvGyKvB:

Amazon- Amazon Web Services (AWS)-AWS-Quantum Valley Building the Future of AI-Quantum Networks: Global Risk Management Network LLC-NY:

AWS Academy Educator: #ArtificialIntelligence-#MachineLearning R&D Faculty-SME Advancing Practices Beyond #Stanford AI-ML: As AWS Partner, we advance beyond Stanford's AI-ML to post #GenerativeAI-#Future of #AI-#MachineLearning, #InformationSystems and #ComputerScience with building-delivering world-leading post-GenAI AI-ML #Graduate-#Undergraduate #ComputerScience- #Engineering AI-Machine Learning-AWS Practice courses.

AWS Pentagon Joint Chiefs SME: ABMS-JADC2: Building C4I-Cyber Supremacy Beyond AI-Quantum Supremacy

Amazon Web Services (AWS)

2022 - Present (2 years)

AWS Partner with Greatest Depth-Breadth of AWS Cloud Computing-AI-Security-Network Engineering Practices Building the Future of AI-Agility & Cyber-Resilience driven AC2 - CAC2 Networks based Network-Centric Computing.

Malhotra, Yogesh, C4I-Cyber Command & Control Supremacy: Why It’s More Critical Than AI & Quantum Supremacy & What You Can Do about It? Security in Post-COVID Virtual Era Beyond Data, Models, Algorithms (May 24, 2021). Forthcoming, 2021 New York State Cyber Security Conference, June 8-9, 2021, Empire State Plaza - Albany, NY., Available at SSRN: https://ssrn.com/ abstract=3851807 or http://dx.doi.org/10.2139/ssrn.3851807 .

Video: http://www.youtube.com/watch?v=cKEWHOPOhy0 .

Given unprecedented global and national cyber-attacks, critical Systems need to advance beyond C2 to include focus on Adversarial C2 and Counter-Adversarial C2 capabilities to survive and thrive.

Malhotra, Yogesh, How You Can Implement Well-Architected ‘Zero Trust’ Hybrid-Cloud Computing Beyond ‘Lift and Shift’: Cloud-Enabled Digital Innovation at Scale with Infrastructure as Code (IaC), DevSecOps and MLops (June 8, 2022). 2022 New York State Cyber Security Conference: Invited Presentations, Albany, New York: https://its.ny.gov/2022-nyscsc, Available at SSRN: https://ssrn.com/ abstract=4131044 or http://dx.doi.org/10.2139/ssrn.4131044.

Video Presentation: https://youtu.be/1gd6mKeHJuw .

Malhotra, Yogesh, AI-Machine Learning-Data Management Governance & Controls Cloud Computing Best Practices: Why ChatGPT-LLMs-Generative AI Cannot Be Trusted: Why We Still Need to Advance R&D on Them: Beyond AI Hype: Advancing Beyond Limitations of ChatGPT, Large Language Models, and Generative AI: CNY Quantum Valley Pentagon-USAF-USSF Ventures Spanning Air-Space- Cyberspace-Outer Space (June 6, 2023). 2023 New York State Cybersecurity Conference, 25th Anniversary Cybersecurity Conference, New York State Capitol, Albany, New York, June 6-7, 2023., Available at SSRN: https://ssrn.com/abstract=4444658 .

AWS $Trillion Wall Street Hedge Funds AI-Quant Finance-Trading Leader: Princeton-CFA-PRMIA-Quant-SME

Amazon Web Services (AWS)

2022 - Present (2 years)

AWS-Quantum Valley 'Advancing Beyond Limitations of ChatGPT-LLMs-GenAI' AI-ML-GenAI-MLOps-DevSecOps

NYS Office of Information Technology Services

2023 - Present (1 year)

Our AWS Quantum Valley AI-Machine Learning-Data Management (AI-ML-DM) Governance & Control Cloud Computing practices build on 30-year YM-ABC™ / BRINT.com Sustainable Digital Systems

and Networks Practices leadership, R&D ranked for impact among AI-Quant Finance Nobel laureates, and industry benchmarks for Self-Adaptive Complex Systems-Chaos Engineering as the Digital Transformation Pioneer profiled in Business Week, Computerworld, CIO Magazine, Fast Company,

Fortune, Inc., New York Times, Wall Street Journal, etc. Our Digital CEO-CTO-CxO leadership practices in Sustainable Cloud Computing address three inter-related applied problems: (a) Complex Systems Fail All the Time, (b) Cyber Security is Job Zero for AI-Agility & Cyber-Resilience, and, (c) Managing Dynamic & Adversarial Uncertainty is Critical for Sustainability. Solving this ‘trilemma’ is essential for Designing, Building, and Sustaining Self-Adaptive Digital Systems and Digital Networks spanning Earth-Air-Space-Cyberspace-Outer Space. As Sustainable Digital Systems and Digital Networks Pioneer, we lead Risk Mitigation of Complex Systems Failures as Self-Adaptive Complex Systems and Chaos Engineering Pioneer of Human-Centered AI Systems, Human-Centered Search, and Human-Centered Networks advancing Human-Centered World Wide Web. Our Silicon Valley-Wall Street-Pentagon-Global Boards-CEOs AI-Agility & C4I-Cyber Resilience Leadership as pioneer of US Cyber Computing and Cyber Security for the National Science Foundation leaders leads latest NIST and ISO Risk Management Standards as Quantum Minds for Quantum Uncertainty pioneer providing a 25-year head-start to CEOs-CxOs for Managing Uncertainty and Complexity. Building on our AI-ML-DM Governance & Control and Risk Management Cloud Computing practices and Pentagon Joint Chiefs Guidance ‘Beyond ABMS-JADC2’ spanning Air-Space-Cyberspace-Outer Space with invited interviews for top US Air Force Science role, Pentagon USAF Chief Scientist - advisor to USAF/USSF Chiefs.

AWS Partner-New York State Silicon Valley-Wall Street-Pentagon Boards-CEOs AI-ML-MLOps-DevSecOps

NYS Office of Information Technology Services

2022 - Present (2 years)

How You Can Implement Well-Architected ‘Zero Trust’ Hybrid-Cloud Computing Beyond ‘Lift and Shift’: Cloud-Enabled Digital Innovation at Scale with Infrastructure as Code (IaC)-DevSecOps-MLops: 2022 New York State Cyber Security Conference Presentation, Albany, New York::

387 Pages: YouTube MP4 Video Presentation: https://youtu.be/1gd6mKeHJuw :

Abstract

Exponential improvements in Cloud Computing architectures and capabilities offer unprecedented speed and agility for global Digital Innovation along with much needed integration of Smart Automation and Cyber Resilience at scale. However, as evident from industry surveys of business and technology executives, most need help in getting up to speed with the rapidly evolving Cloud technology platforms and architectures. Given the rapidly accelerating pace and sophistication of global cyber-attacks threatening critical IT and OT infrastructures, advancing beyond “legacy” on-premises and virtualized data centers is not a matter of discretionary choice, but a matter of existential survival. As Silicon Valley-Wall Street-Pentagon Digital pioneer ‘born on the cloud’ and MIT-Princeton Faculty-SME for

Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Cybersecurity-Cryptography and Quantum Computing practices, we advance vendor-agnostic product-neutral Network-Centric Cloud Computing applied industrial practices. Drawing upon our Big-3 Cloud Computing Network Partner practices with comparative understanding of the leading Cloud Computing Providers and related Cloud Computing implementation and migration strategies, we advance technology leaders’ understanding about the key Cloud Computing implementation-migration strategies and related technological- architecture issues hence enabling systematic Cloud adoption.

Keywords: Agility, Resilience, Artificial Intelligence, Machine Learning, Cybersecurity, Cloud Adoption Framework, Infrastructure As Code, MLOps, DevSecOps, CI/CD, Microservices, Containers

Pentagon C4I-Cyber™ ABMS-JADAC2-JADCAC2 SME Network-Centric Computing AI-Agility Cyber-Resilience

NYS Office of Information Technology Services

2021 - Present (3 years)

AWS Partner with Greatest Depth-Breadth of AWS Cloud Computing-AI-Security-Network Engineering Practices Building the Future of AI-Agility & Cyber-Resilience driven AC2 - CAC2 Networks based Network-Centric Computing.

Malhotra, Yogesh, C4I-Cyber Command & Control Supremacy: Why It’s More Critical Than AI & Quantum Supremacy & What You Can Do about It? Security in Post-COVID Virtual Era Beyond Data, Models, Algorithms (May 24, 2021). Forthcoming, 2021 New York State Cyber Security Conference, June 8-9, 2021, Empire State Plaza - Albany, NY., Available at SSRN: https://ssrn.com/ abstract=3851807 or http://dx.doi.org/10.2139/ssrn.3851807 .

Video: http://www.youtube.com/watch?v=cKEWHOPOhy0 .

Given unprecedented global and national cyber-attacks, critical Systems need to advance beyond C2 to include focus on Adversarial C2 and Counter-Adversarial C2 capabilities to survive and thrive.

Malhotra, Yogesh, How You Can Implement Well-Architected ‘Zero Trust’ Hybrid-Cloud Computing Beyond ‘Lift and Shift’: Cloud-Enabled Digital Innovation at Scale with Infrastructure as Code (IaC), DevSecOps and MLops (June 8, 2022). 2022 New York State Cyber Security Conference: Invited Presentations, Albany, New York: https://its.ny.gov/2022-nyscsc, Available at SSRN: https://ssrn.com/ abstract=4131044 or http://dx.doi.org/10.2139/ssrn.4131044.

Video Presentation: https://youtu.be/1gd6mKeHJuw .

Malhotra, Yogesh, AI-Machine Learning-Data Management Governance & Controls Cloud Computing Best Practices: Why ChatGPT-LLMs-Generative AI Cannot Be Trusted: Why We Still Need to Advance R&D on Them: Beyond AI Hype: Advancing Beyond Limitations of ChatGPT, Large Language Models, and Generative AI: CNY Quantum Valley Pentagon-USAF-USSF Ventures Spanning Air-Space- Cyberspace-Outer Space (June 6, 2023). 2023 New York State Cybersecurity Conference, 25th Anniversary Cybersecurity Conference, New York State Capitol, Albany, New York, June 6-7, 2023., Available at SSRN: https://ssrn.com/abstract=4444658 .

Generative AI-Risk Management: AI-Augmentation for Cybersecurity: Smart Minds Using Smart Tools

NYS Office of Information Technology Services

2019 - Present (5 years)

Malhotra, Yogesh, Power Point Presentation: AI-Machine Learning Augmentation and Cybersecurity: Why Smart Minds Using Smart Tools Are Critical for Minimizing Risks, And, What You Can Do About It? (June 4, 2019). Presentation: 2019 New York State Cyber Security Conference, Albany, NY, June 4 - 5, 2019, Empire State Plaza , Albany, NY, Available at SSRN: https://ssrn.com/abstract=3399781 or http:// dx.doi.org/10.2139/ssrn.3399781 .

Keywords: AI, Artificial Intelligence, Machine Learning, Augmentation, Governance, Cybersecurity, Risk Management, Interpretability, Adversarial Risks.

New York State Capitol Digital CEO-CTO-CIO-CISO AI-ML-MLOps-DevSecOps- Cloud-SME, Albany, New York

NYS Office of Information Technology Services

2016 - Present (8 years)

AWS Partner with Greatest Depth-Breadth of AWS Cloud Computing-AI-Security-Network Engineering Practices Building the Future of AI-Agility & Cyber-Resilience driven AC2 - CAC2 Networks based Network-Centric Computing.

Malhotra, Yogesh, C4I-Cyber Command & Control Supremacy: Why It’s More Critical Than AI & Quantum Supremacy & What You Can Do about It? Security in Post-COVID Virtual Era Beyond Data, Models, Algorithms (May 24, 2021). Forthcoming, 2021 New York State Cyber Security Conference, June 8-9, 2021, Empire State Plaza - Albany, NY., Available at SSRN: https://ssrn.com/ abstract=3851807 or http://dx.doi.org/10.2139/ssrn.3851807 .

Video: http://www.youtube.com/watch?v=cKEWHOPOhy0 .

Given unprecedented global and national cyber-attacks, critical Systems need to advance beyond C2 to include focus on Adversarial C2 and Counter-Adversarial C2 capabilities to survive and thrive.

Malhotra, Yogesh, How You Can Implement Well-Architected ‘Zero Trust’ Hybrid-Cloud Computing Beyond ‘Lift and Shift’: Cloud-Enabled Digital Innovation at Scale with Infrastructure as Code (IaC), DevSecOps and MLops (June 8, 2022). 2022 New York State Cyber Security Conference: Invited Presentations, Albany, New York: https://its.ny.gov/2022-nyscsc, Available at SSRN: https://ssrn.com/ abstract=4131044 or http://dx.doi.org/10.2139/ssrn.4131044.

Video Presentation: https://youtu.be/1gd6mKeHJuw .

Malhotra, Yogesh, AI-Machine Learning-Data Management Governance & Controls Cloud Computing Best Practices: Why ChatGPT-LLMs-Generative AI Cannot Be Trusted: Why We Still Need to Advance R&D on Them: Beyond AI Hype: Advancing Beyond Limitations of ChatGPT, Large Language Models, and Generative AI: CNY Quantum Valley Pentagon-USAF-USSF Ventures Spanning Air-Space- Cyberspace-Outer Space (June 6, 2023). 2023 New York State Cybersecurity Conference, 25th Anniversary Cybersecurity Conference, New York State Capitol, Albany, New York, June 6-7, 2023., Available at SSRN: https://ssrn.com/abstract=4444658 .

Cyber-Financial Engineering: Evolving Cyber Risk Analytics to Survive Cyber- Finance-Trust Threats

NYS Office of Information Technology Services

2016 - Present (8 years)

Malhotra, Yogesh, 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 (June 8, 2016). Research Presentation at the 19th New York State Cyber Security Conference Presentation, Albany, NY, June 8-9, 2016, Empire State Plaza, Albany, NY., Available at SSRN: https://ssrn.com/abstract=2791863 or http://dx.doi.org/10.2139/ssrn.2791863 .

Keywords: Value at Risk, VaR, Expected Tail Loss, Coherent Risk Measure, Extreme Value Methods, Catastrophic Risk Models, Anticipatory Risk Analytics, Predictive Risk Analytics, Cyber Risk Insurance Analytics, Cyber Risk Insurance Modeling, Risk and Uncertainty Management, Digital Transformation, Measurement.

Top NYS Digital Government Leader IT Administration & Networks Administration-Security Head CISO-CTO

NYS Office of Information Technology Services

2016 - 2017

CISO IT-Network Admin-Security Head: Advanced Top NYS Digitized Government by 10-Years in One

 

Pentagon USAF Chief Scientist Invited Interviews: NYS-Pentagon Joint Chiefs SME: Next Gen ABMS-JADC2

United States Air Force

2018 - Present (6 years)

CNY Quantum Valley-Pentagon-USAF-USSF ventures advancing the Pentagon-USAF and Inter- Agency and Joint-Agency missions. Korn Ferry Invited Interviews for the US Air Force Top Science Role of US Air Force Chief Scientist, Advisor to Chiefs of US Air Force & Space Force and USAF Secretary while serving as Chief Scientist on the USAF Pentagon C4I-ISR CTO-DoD CIO [John N.T. "Jack" Shanahan, also Founding Director of JAIC] Senior Advisor team as Chief Data Scientist.

Chief Scientist: Pentagon USAF-C4I-CTO-DoD CIO Advisor Teams: CEO DoD- wide AI-ML MVP AIMLExchange™

United States Air Force

2018 - Present (6 years)

Engaged as Chief Data Scientist by the US Air Force Pentagon C4I-ISR CTO and Sr. Advisor to

U.S. DoD CIO Jack Shanahan - for DoD-wide AI, Machine Learning, and, Data Science Modeling enablement with the Secretary of USAF and the JAIC CTO as the clients for U.S. DoD-wide AI & ML Technologies advancement as a part of the DoD Acquisition, Logistics, and, Contracting Processes Infrastructure enabling Public-Private Partnerships for National Defense.

Provided Consultations to the CTO-COO/CBO-CFO teams toward building the AI-ML Exchange for the USAF HQ with specific focus on Data Architecture Engineering Data Science and Algorithm

Development and the AI Cafe Architecture Development. Reviewed the Final Coordinating Draft AI- Cafe Design Document and provided further consultations for Phase 2 Design, Development, and, Implementation.

CEO- CxO Team of USAF Pentagon CTO-Chief Data Scientist: US DoD-wide AI & ML Technologies Enablement: USAF Pentagon CTO-US DoD CIO Advisor: Clients: USAF Sec.-JAIC CTO.

Pentagon C4I-Cyber™ ABMS-JADAC2-JADCAC2 SME Network-Centric Computing AI-Agility Cyber-Resilience

United States Air Force

2020 - Present (4 years)

In spite of latest AI and Quantum Computing capabilities powering Business-IT Performance, COVID19 has highlighted the critical significance of Resilience and Sustainability of Command and Control (C2) capabilities of Systems powering National Defense & Space, Critical Infrastructures, all Enterprises, and, Intra- and Inter-Enterprise Networks for organizational, national, and, global survival. Given unprecedented global and national cyber-attacks, critical Systems need to advance beyond C2 to include focus on Adversarial C2 and Counter-Adversarial C2 capabilities to survive and thrive. Drawing upon our latest contributions to advancing US Global and National Defense & Space capabilities spanning Air-Space-Cyberspace such as the Advanced Battle Management System (ABMS) Joint

All Domain Command & Control (JADC2), our latest State of New York Cybersecurity Conference presentation will help Cyber Security and Risk Management professionals, managers, and, leaders advance Beyond Data, Beyond Models, and, Beyond Algorithms to effectively preempt risks posed by the latest and greatest adversarial threats.

Malhotra, Yogesh, C4I-Cyber Command & Control Supremacy: Why It’s More Critical Than AI & Quantum Supremacy & What You Can Do about It? Security in Post-COVID Virtual Era Beyond Data, Models, Algorithms (May 24, 2021). 2021 New York State Cyber Security Conference, June 8-9, 2021, Empire State Plaza - Albany, NY., Available at SSRN: https://ssrn.com/abstract=3851807.

Virtual Conference Presentation Video: http://www.youtube.com/watch?v=cKEWHOPOhy0 :

Malhotra, Yogesh, US Air Force–Space Force: Beyond ABMS-JADC2 to Faster-Better-Cheaper ABMS2 JADAC2-JADCAC2: AI-Quantum Cyber-Crypto-EMS Network-Centric Computing with Autonomous Robots in Air & Space: Beyond the ‘Quantum’ Silo to Real-World ‘AI-Cyber-Crypto- Quantum’ (November 20, 2020). Available at SSRN: https://ssrn.com/abstract=3734680 .

AWS-Quantum Valley: AI-Quantum-Cyber-Ops-Data-Governance: AI-ML-GenAI- AIOps-MLOps-LLMOps-DevSecOps

United States Air Force

2023 - Present (1 year)

Our AWS Quantum Valley AI-Machine Learning-Data Management (AI-ML-DM) Governance & Control Cloud Computing practices build on 30-year YM-ABC™ / BRINT.com Sustainable Digital Systems

and Networks Practices leadership, R&D ranked for impact among AI-Quant Finance Nobel laureates, and industry benchmarks for Self-Adaptive Complex Systems-Chaos Engineering as the Digital Transformation Pioneer profiled in Business Week, Computerworld, CIO Magazine, Fast Company, Fortune, Inc., New York Times, Wall Street Journal, etc. Our Digital CEO-CTO-CxO leadership practices in Sustainable Cloud Computing address three inter-related applied problems: (a) Complex Systems Fail All the Time, (b) Cyber Security is Job Zero for AI-Agility & Cyber-Resilience, and, (c) Managing Dynamic & Adversarial Uncertainty is Critical for Sustainability. Solving this ‘trilemma’ is essential for Designing, Building, and Sustaining Self-Adaptive Digital Systems and Digital Networks spanning Earth-Air-Space-Cyberspace-Outer Space. As Sustainable Digital Systems and Digital Networks Pioneer, we lead Risk Mitigation of Complex Systems Failures as Self-Adaptive Complex Systems and Chaos Engineering Pioneer of Human-Centered AI Systems, Human-Centered Search, and Human-Centered Networks advancing Human-Centered World Wide Web. Our Silicon Valley-Wall Street-Pentagon-Global Boards-CEOs AI-Agility & C4I-Cyber Resilience Leadership as pioneer of US Cyber Computing and Cyber Security for the National Science Foundation leaders leads latest NIST and ISO Risk Management Standards as Quantum Minds for Quantum Uncertainty pioneer providing a 25-year head-start to CEOs-CxOs for Managing Uncertainty and Complexity. Building on our AI-ML-DM Governance & Control and Risk Management Cloud Computing practices and Pentagon Joint Chiefs

Guidance ‘Beyond ABMS-JADC2’ spanning Air-Space-Cyberspace-Outer Space with invited interviews for top US Air Force Science role, Pentagon USAF Chief Scientist - advisor to USAF/USSF Chiefs.

Journal of Supercomputing: High-Performance Computing: AI-Quantum Computer Scientist-Expert Reviewer

Springer Nature Group

2024 - Present (less than a year)

New York State AI-ML-Cloud Computing Expert - Pentagon Joint Chiefs SME Computer Scientist -

$Trillion Wall Street Hedge Funds Quant - Silicon Valley Digital Social Networks Pioneer:

Scientific Editor-Reviewer-Referee: Top Research Journals and Conference Proceedings:

Artificial Intelligence, Machine Learning, Computational Mathematical Quantitative Finance & Trading, Quantum Computing & Cryptography, Cloud Networks, Networks Cybersecurity & Cryptography, Actuarial Statistical Modeling & Simulation.

2024: Journal of Supercomputing: AI-Quantum Computer Scientist-Expert Reviewer-Editor-Referee: High-Performance Computing: AI-Machine Learning-Quantum Computing-Cloud Security-Networks:

2023: International Journal of Financial Studies: Wall Street Hedge Funds Quant-Expert Reviewer- Editor-Referee: Quantitative Finance & Trading, AI-ML-Quantum-Quant Finance:

2022: Journal of Experimental & Theoretical Artificial Intelligence: Computer Scientist-Expert Reviewer- Editor-Referee: High-Performance Computing: AI-Machine Learning-Quantum Computing-Cloud Security-Networks:

2020: Risk Management Journal: Wall Street Hedge Funds-Financial Risk Management Expert- Computer Scientist-Expert Reviewer-Editor-Referee: Quantitative Finance & Trading, AI-ML-Quantum- Quant Finance:

2018: North American Actuarial Journal: Actuarial Statistician Expert: Expert Reviewer-Editor-Referee: Wall Street Hedge Funds-Financial Risk Management Expert-Computer Scientist-Expert Reviewer- Editor-Referee: AI-ML-Quantum-Quant Finance:

2018: Journal of Operational Risk: Cyber-Finance Pioneer: Cybersecurity-Finance Expert: Risk.Net Expert Reviewer-Editor-Referee: Computer Scientist-Expert Reviewer-Editor-Referee: AI-ML-Quantum- Quant Finance:

2016: Journal of Defense Modeling and Simulation: Society for Modeling & Simulation International: Cybersecurity-Cryptography Expert: Expert Reviewer-Editor-Referee: Computer Scientist-Expert Reviewer-Editor-Referee

SUNY Lumen Circles Fellow-Student Success Faculty Mentor-Post GenAI University|Workforce Development

Lumen Learning

2023 - Present (1 year)

Menotring Post GenAI-LLM Professors Leading Post-GenAI Workforce Development enabled by world- leading AI-ML Education, R&D, and Practices:

AWS-Quantum Valley: AI-Quantum-Cyber-Ops-Data-Governance: AI-ML-GenAI- AIOps-MLOps-LLMOps-DevSecOps

AWS-Quantum Valley Building the Future of AI-Quantum Networks: Global Risk Management Network LLC-NY

2021 - Present (3 years)

Our AWS Quantum Valley AI-Machine Learning-Data Management (AI-ML-DM) Governance & Control Cloud Computing practices build on 30-year YM-ABC™ / BRINT.com Sustainable Digital Systems

and Networks Practices leadership, R&D ranked for impact among AI-Quant Finance Nobel laureates, and industry benchmarks for Self-Adaptive Complex Systems-Chaos Engineering as the Digital Transformation Pioneer profiled in Business Week, Computerworld, CIO Magazine, Fast Company, Fortune, Inc., New York Times, Wall Street Journal, etc. Our Digital CEO-CTO-CxO leadership practices in Sustainable Cloud Computing address three inter-related applied problems: (a) Complex Systems Fail All the Time, (b) Cyber Security is Job Zero for AI-Agility & Cyber-Resilience, and, (c) Managing Dynamic & Adversarial Uncertainty is Critical for Sustainability. Solving this ‘trilemma’ is essential for Designing, Building, and Sustaining Self-Adaptive Digital Systems and Digital Networks spanning Earth-Air-Space-Cyberspace-Outer Space. As Sustainable Digital Systems and Digital Networks Pioneer, we lead Risk Mitigation of Complex Systems Failures as Self-Adaptive Complex Systems and Chaos Engineering Pioneer of Human-Centered AI Systems, Human-Centered Search, and Human-Centered Networks advancing Human-Centered World Wide Web. Our Silicon Valley-Wall Street-Pentagon-Global Boards-CEOs AI-Agility & C4I-Cyber Resilience Leadership as pioneer of US Cyber Computing and Cyber Security for the National Science Foundation leaders leads latest NIST and ISO Risk Management Standards as Quantum Minds for Quantum Uncertainty pioneer providing a 25-year head-start to CEOs-CxOs for Managing Uncertainty and Complexity. Building on our AI-ML-DM Governance & Control and Risk Management Cloud Computing practices and Pentagon Joint Chiefs Guidance ‘Beyond ABMS-JADC2’ spanning Air-Space-Cyberspace-Outer Space with invited interviews for top US Air Force Science role, Pentagon USAF Chief Scientist - advisor to USAF/USSF Chiefs.

Pentagon USAF Chief Scientist Invited Interviews: NYS-Pentagon Joint Chiefs SME: Next Gen ABMS-JADC2

AWS-Quantum Valley Building the Future of AI-Quantum Networks: Global Risk Management Network LLC-NY

2018 - Present (6 years)

CNY Quantum Valley-Pentagon-USAF-USSF ventures advancing the Pentagon-USAF and Inter- Agency and Joint-Agency missions. Korn Ferry Invited Interviews for the US Air Force Top Science

Role of US Air Force Chief Scientist, Advisor to Chiefs of US Air Force & Space Force and USAF Secretary while serving as Chief Scientist on the USAF Pentagon C4I-ISR CTO-DoD CIO [John N.T. "Jack" Shanahan, also Founding Director of JAIC] Senior Advisor team as Chief Data Scientist.

Having led US and global Digital Transformation worldwide starting with the beta version of the first WWW browser, recommended as the go-to Digital Pioneer by Microsoft Founder Bill Gates, Google coming to us pre-IPO to build global Digital Footprint, Goldman Sachs as early CEO's-CxO-Network member, and Accenture, EY, Silicon Valley-McKinsey & Company, and PwC CEOs-CxOs-Founders- Leaders-Partners seeking our guidance besides the National Science Foundation, United Nations and the US Federal Government and World Governments, we are the Silicon Valley-Wall Street-Hedge Funds-Global Digital-AI-Cyber-Crypto-Quantum Pioneer...

Boards-CEOs-CxOs-Ventures-Digital Accelerators Mentor: Global Venture Capital-Private Equity Firms

VigiTrust

2021 - Present (3 years)

Malhotra, Yogesh, VigiTrust Global Advisory Board Keynote: How to Manage Geopolitical Crisis-Risks: Protecting Global & National Critical Infrastructures (Presentation Slides) (March 30, 2022). March 30, 2022: VigiTrust Global Advisory Board Keynote, How to Manage Geopolitical Crisis-Risks: Protecting Global & National Critical Infrastructures, Dr. Yogesh Malhotra: Keynote Video Presentation: https:// youtu.be/jor6lojSJmM [Slide Deck]., Available at SSRN: https://ssrn.com/abstract=4071293 .

Marquis Who's Who® in: the World®, America®, Finance & Industry®, Science & Engineering®: Since 1999

Marquis Who's Who

1999 - Present (25 years)

Biographical profile 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®.

Marquis Who's Who in Science & Engineering®, Since 2006. Marquis Who's Who in America®, Since 2002.

Marquis Who's Who in Finance & Industry®, Since 2001. Marquis Who's Who in the World®, Since 1999.

Biography selected for publication in Marquis Who's Who®, Since 1999.

Quant Finance-Computer Scientist: AI-ML-DL-NLP-Cyber-Crypto-Quantum Computing: NSF-50+ Journals

National Science Foundation (NSF)

NSF HQ: National Science Foundation: Senior NSF Leadership Advisor. NSF 32 Computer Scientists Expert Panels | Scientist-Editor-Referee: 50+ Scientific Journals & National Science Foundation (NSF)

Quant-Economist: $Trillion Wall Street Hedge Funds| UN HQ: Digital-Social- Human-Intellectual-Capital

United Nations

United Nations World HQ Quant Economist Expert: Global Economists-Experts Keynotes-Expert Papers Panels.

Global National Knowledge Economy Policy Development: Social Capital, Human Capital, Intellectual Capital.

Boards-CEOs-CxOs-Ventures-Digital Accelerators Mentor: Global Venture Capital-Private Equity Firms

FasterCapital

2020 - 2023 (3 years)

IBM Cloud Quantum Excellence Certificate: Quantum Uncertainty & Time Space Complexity Pioneer

IBM

2020 - 2020 (less than a year)

IBM Quantum Computing Programming Certified: IBM Cloud Quantum Excellence Certificate:

Global Post AI-Quantum Digital Risk Management RM Pioneer: 30-Yrs Ahead of Latest ISO RM Standard

National Institute of Standards and Technology (NIST)

2020 - 2020 (less than a year)

NIST Certified in Risk Management Framework (RMF): Leading NIST Risk Management Framework RMF For 30-Years as Global Post AI-Quantum Digital RM Pioneer.

Managing Director: $Billion Data Ctr: AI-Blockchain-Crypto Networks-Eng.: Digital Currency Pioneers

WrkFlws

2018 - 2018 (less than a year)

Subsequently, GIBC Digital CEO-Advisor, earlier F/T Managing Director on the Senior Leadership Team, AI-ML-Cyber-Crypto-Cloud Computing: Retained by the CEO to Head a $Billion Global AI Excellence Center for the National Economy of Bahamas: Blockchain-Crypto-NII Expert, Bahamas- Nigeria: Retained by the CEO to head $Billion AI-ML-Cyber-Process-Excellence Center. CEO-CxO- Leadership Expert on Blockchain-Crypto-NII Digital Transformation for Bahamas and Nigeria National Information Infrastructures: AI-ML-DL, Cyber Security-Cryptography, Cloud Computing, Business Process Analytics.

As Global Information Infrastructures and National Information Infrastructures pioneer, developed execution blue-print for the Blockchain-Crypto enabled Emerging National Economies of Bahamas, West Indies (On Site and Remote) and Nigeria, Africa (Remote) National Information Infrastructure. Interestingly, Bahamas and Nigeria were the first two countries to introduce the launch of the respective Central Bank Digital Currencies (CBDCs) subsequently. Built national AI-ML-Cyber-Crypto-BlockChain execution blueprint strategy blue-print as Artificial Intelligence, Business Operations Excellence, Cybersecurity, and Blockchain Architectures expert: FinTech-Blockchain-Crypto-Digital ID Expert- Author: Government of Bahamas Digital Infrastructure Expert Paper:

Malhotra, Yogesh, Bahamas e-Government: Single Digital ID for citizens of The Bahamas: Toward a National Cybersecurity System to Ensure Data Privacy and Security (July 1, 2018). Available at SSRN: https://ssrn.com/abstract=3739258

As Global Head of the Central New York Office, built out the Global Virtual Office for GIBC Digital in Rome, New York leading to Digital CEO-CxO Air Force Research Lab Commercialization Academy Ventures in AI-ML-DL, Cybersecurity, Cryptography, and, Quantum Computing AIMLExchange™ and C4I-Cyber™ advancing and leading Digital CEO-CxO Advanced Technologies Strategies, Networks, Practices, Technologies and Ventures.

CFA Institute Global Financial Industry & Hedge Funds Expert: AI, AutoML, FinTech-Quant Model Risk

CFA Institute

2018 - 2018 (less than a year)

Hedge Funds Trading & Risk Management: FinTech-Quant Finance Risk Modeling Industry Leader: Liquidity Risk, Market Risk, Credit Risk

Advancing Hedge Funds Chief Investment Officer Practices: Model Risk Management with Auto Machine Learning: JP Morgan and Goldman Sachs Practices Case Studies: AI & Machine Learning for Risk & Uncertainty Management Practice Series. We introduce Risk Management Models using JP Morgan’s pioneering focus on Investment Performance, Analytics, and Risk. We build understanding about Model Risks with focus on Value-at-Risk (VaR), the most prominent financial risk valuation models in use across global practices. AI & Machine Learning (ML) are introduced in terms of the Statistical Probabilistic Analytics underlying the performance of such Models. We advance beyond

Normality and Linearity assumptions with sophisticated Models while introducing Bayesian Inference as a complement to above models to mitigate Model Risks often attributed to Frequentist Methodologies.

AI & ML Algorithms and Models from the JP Morgan AI-ML portfolio motivate focus on Big Data driven Automated Machine Learning to enable Model Risk Management inspired by Goldman Sachs’

pioneering focus on Model Risk Management and Uncertainty Management. Advancing beyond Risk to Uncertainty which is increasingly characterizing emerging global financial markets, we underscore the need for Augmented Intelligence characterizing Smart Minds smartly using Smart Tools with illustrative cases and examples.

http://FutureOfFinance.org/CFA/

CEO Team AI-ML-Cyber-Networks SME: Blockchain-Crypto Cloud Engineering Architectures: CEO Road Shows

Iagon

2018 - 2018 (less than a year)

Retained by the CEO to lead and guide as Artificial Intelligence Advisor the Block Chain Cloud Computing pioneering global virtual CEO-CIO-CTO-COO team spanning North America, Europe and Asia. Collaborated with worldwide global virtual team leading CEO-CxO team Blockchain-Crypto Engineering and Technology Architectures and Global Blockchain-Crypto Business and Marketing Strategies. Signed-on with 90% to 10% Crypto Equity to Cash ratio with the SEC filing of held equity listing the stake at double-digit million dollars between $10 Million and $15 Million over subsequent years.

Represented the CEO in person to Major Investors & Funds in Sydney, Australia and Kuala Lumpur, Malaysia on Global Roadshows on Global Blockchain-Crypto Ventures collaborating with the global Marketing and Engineering Teams leaders building and delivering the Roadshow Presentations and Leading Meetings with Global Venture Capital and PE Firms.

Blockchain DLT Architectures: Scalability, Security & Decentralization: Advance business technology strategic understanding of CxO suite about Scalability, Security, and Decentralization for Ethereum Block Chain Business Models.

Technology Architectures: Computational-Quant Computing, Homomorphic Encryption & Analytics: Assess, Select, and Deploy optimal Storage, Computing, and Encryption for Blockchain and other Business Models.

DLT, Blockchain and Cryptocurrency Protocols: Beyond Proof of Work to Advanced Consensus Protocols: Advance beyond cryptographic proof of work models for Blockchain scalability by comparing alternative blockchain consensus models.

Global Competitive Strategies, CVP Development & Business Model Strategic Differentiation: Differentiate and focus Business Technology Strategy by deploying sophisticated Strategic Competitive Analysis of competing Models & Architectures.

Global Competitive Strategies & DLT Architectures: Define and refine collaborative business and technology strategies and technology architectures.

AI-ML-Quant-Cyber-Crypto-Quantum-Networks Engineering SME: Generative AI Risk Management & Controls

Operations Research & Financial Engineering Department, Princeton University

2018 - 2018 (less than a year)

Malhotra, Yogesh, AI, Machine Learning & Deep Learning Risk Management & Controls: Beyond Deep Learning and Generative Adversarial Networks: Model Risk Management in AI, Machine Learning & Deep Learning: Princeton Presentations in AI-ML Risk Management & Control Systems (Presentation Slides) (April 21, 2018). Princeton Presentations in AI & Machine Learning Risk Management & Control Systems, 2018 Princeton Fintech & Quant Conference, Princeton University, April 21, 2018., Available at SSRN: https://ssrn.com/abstract=3167035 or http://dx.doi.org/10.2139/ssrn.3167035

Keywords: Princeton Quant Trading Conference, Trustworthy AI, Explainable AI, AI Risk Management, AI Controls, Artificial Intelligence, Machine Learning, Deep Learning, GAN, Generative Adversarial

Network, Model Risk Arbitrage, Model Risk Management, Knightian uncertainty & risk management, self-adaptive complex systems, hyper-turbulent environments.

MIT-CSAIL AI Faculty-SME: Management-Leadership-CEOs-CxOs: AI-Self Adaptive Complex Systems Pioneer

MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)

2017 - 2018 (1 year)

Self- Adaptive Complex Systems & Chaos Engineering and Quantum Uncertainty & Time-Space Complexity Global Practices & Ventures Pioneer [reviewed as global industry benchmarks in The Wall Street Journal and The New York Times], Global Top-3 Knowledge Management Scholar-Practitioner. Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing (NLP), Robotic Process Automation and Robotics Faculty-SME for the MIT Management & Leadership CEOs and Industry Leaders from Global worldwide firms including Google, Microsoft, Tesla and Silicon Valley CEOs-CxOs. Head Resource Mentor for over 1,000 Management & Leadership Executives with Direct Supervision, Mentoring and Guidance Responsibility for over 200 Management & Leadership

Executives leading Enterprise AI Business Strategy Road Maps Execution and Implementation Teams.

Given global demand from worldwide AI-ML-DL-Blockchain-Crypto-Cloud-Computing CEO-CxO Teams including the world's biggest names in Finance and IT across from worldwide countries, building next generation global Digital CEO-CxO Networks to enable their Knowing-Building-Monetizing™ capabilities for scaling global worldwide Digital ventures. Retained to head the funding and launch

of a $Billion-dollar global AI-ML Operational Business Excellence Center by one of the participating industry executives from the world's largest hedge fund. Retained by an external global CEO-CxO team pioneering global Block Chain-Cloud Computing platform to lead and guide CEO-CxO team on engineering and technology architecture and business and market strategy while representing the CEO for global fund-raising focus to major global investors and funds worldwide. MIT Learning Community continues...

MIT AI-ML Management-Leadership Guide: Strategy to Execution Leader: AI-ML- DL-NLP-RPA-Robotics

MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)

2017 - 2018 (1 year)

Advanced MIT curriculum as AI Faculty-SME focused on hands-on strategic, tactical, and operational execution of Strategic Road Maps for over 1,000 Management & Leadership industry executives as Head Resource Mentor and Learning Facilitator for Applied Executive Education on Development & Execution of AI Strategy Roadmaps integrating Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, and Robotics.

Developed original curriculum on Digital and Digital Transformation in Robotics on Robotic Process Automation advancing on Business Process Innovation and Business Process Excellence pioneer roles for worldwide organizations such as invited Council Partner for the US Federal Government and Big-4 Accenture Founding Partners. Built World's Top Business Process Innovation and Business Process Excellence Digital Portals sourced by Harvard Business School MBA program to launch their related Business Process Excellence and Business Workflows Curriculum.

Business Process Focus integrated with R&D pioneering Human Centered Artificial Intelligence (HAI) and Meaning-Aware AI with world-leading Complexity Theory and Self-Adaptive Complex Systems

Digital practice ventures with editorial reviews as global industry benchmarks such as in The Wall Street Journal and The New York Times.

AIMLExchange.com/MIT/

"Most importantly thanks to the incredible professors Daniela Rus, Dr. Yogesh Malhotra, your jobs are pushing humanity forward." - Erick Alonso

MIT AI-ML-DL-NLP-RPA Faculty Subject Matter Expert: 1,000 Executives-200 Road Maps

MIT Sloan School of Management

2017 - 2018 (1 year)

Self- Adaptive Complex Systems & Chaos Engineering and Quantum Uncertainty & Time-Space Complexity Global Practices & Ventures Pioneer [reviewed as global industry benchmarks in The Wall Street Journal and The New York Times], Global Top-3 Knowledge Management Scholar-Practitioner. Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing (NLP), Robotic Process Automation and Robotics Faculty-SME for the MIT Management & Leadership CEOs and Industry Leaders from Global worldwide firms including Google, Microsoft, Tesla and Silicon Valley CEOs-CxOs. Head Resource Mentor for over 1,000 Management & Leadership Executives with Direct Supervision, Mentoring and Guidance Responsibility for over 200 Management & Leadership

Executives leading Enterprise AI Business Strategy Road Maps Execution and Implementation Teams.

Given global demand from worldwide AI-ML-DL-Blockchain-Crypto-Cloud-Computing CEO-CxO Teams including the world's biggest names in Finance and IT across from worldwide countries, building next generation global Digital CEO-CxO Networks to enable their Knowing-Building-Monetizing™ capabilities for scaling global worldwide Digital ventures. Retained to head the funding and launch

of a $Billion-dollar global AI-ML Operational Business Excellence Center by one of the participating industry executives from the world's largest hedge fund. Retained by an external global CEO-CxO team pioneering global Block Chain-Cloud Computing platform to lead and guide CEO-CxO team on engineering and technology architecture and business and market strategy while representing the CEO for global fund-raising focus to major global investors and funds worldwide. MIT Learning Community continues...

AI-ML-Quant-Cyber-Crypto-Quantum-Networks Engineering SME: AI-ML-Cyber- FinTech Model Risk Arbitrage

Operations Research & Financial Engineering Department, Princeton University

2016 - 2018 (2 years)

Malhotra, Yogesh, Beyond Model Risk Management to Model Risk Arbitrage for FinTech Era: How to Navigate ‘Uncertainty’...When ‘Models’ Are ‘Wrong’...And Knowledge’...‘Imperfect’! Knight Reconsidered Again: Risk, Uncertainty, & Profit Beyond ZIRP & NIRP (April 16, 2016). Research Presentation at: 2016 Princeton Quant Trading Conference, Princeton University, Available at SSRN: https://ssrn.com/ abstract=2766099 or http://dx.doi.org/10.2139/ssrn.2766099

Keywords: model risk arbitrage, open systems finance, model risk management, financial markets, Knightian uncertainty, self-adaptive complex systems, complexity, black swans, extreme events, Reflexivity Theory, Hegelian Dialectic.

AI-Cyber-Crypto Quantum-Trading-Financial Markets-Exchanges-Hedge Funds Networks Engineering SME

Princeton Bendheim Center for Finance

2015 - 2018 (3 years)

With R&D Impact ranked among AI-Quant Finance Nobel Laureates, three annual invited R&D presentations at Princeton University conferences sponsored by Goldman Sachs, Citadel, Princeton Operations Research & Financial Engineering and Princeton Bendheim Center for Finance leading global worldwide Quant Finance and Trading and FinTech-Crypto practices among Wall Street Hedge Funds-Investment Banks senior leaders and Crypto pioneers.

R&D: SSRN 99 Top-10 Rankings: Top 1% Authors: AI-ML-Crypto-Quantum https://ssrn.com/author_id=2338267 : Advancing Knight:

"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... 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

Ranked for global impact among Quant Finance Nobel laureates such as Black-Scholes & Harry Markowitz by AACSB Impact of Research Report, as pioneer of Post-WWW Future Of Finance and Digital Pioneer-Founder of world's largest CEO-CxO Silicon Valley-Wall Street-Pentagon-Global Digital Transformation Networks with early adopters such as Goldman Sachs [FutureOfFinance.org].

As AI-Data Science pioneer, ranked for global impact among Artificial Intelligence Nobel Laureates such as Herbert Simon with R&D advancing Goldman Sachs Quant Strategies as Model Risk Management and Black Hat Model Risk Arbitrage Pioneer [ModelRiskArbitrage.com]. Having led Wall Street Hedge Funds with $Trillion AUM with senior-most leaders at JP Morgan World HQ, Global Head of Analytics- US Head of Portfolio Management ED of MDs, pioneering world-leading Quantitative Finance &

Trading FinTech-Crypto Strategies, Practices, Frameworks and Models as AI-ML-Quant-Cyber-Crypto- Quantum-Risk Computing pioneer.

AI-ML-Quant-Cyber-Crypto-Quantum-Networks Engineering SME: Cyber- Uncertainty-Models Risk Management

Operations Research & Financial Engineering Department, Princeton University

2015 - 2018 (3 years)

Malhotra, Yogesh, 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 (Presentation Slides) (April 4, 2015). Princeton Quant Trading Conference 2015, Available at SSRN: https://ssrn.com/abstract=2590258 or http://dx.doi.org/10.2139/ssrn.2590258

Keywords: Model Risk Management, Value at Risk, VaR, T-VaR, ES, GARCH, ARCH, EVT, Power Laws, Bayesian Inference, Markov Chain Monte Carlo Models, FIX, FAST, Cyber Finance, Cyber Risk, Risk Modeling, Knightian Uncertainty, Uncertainty Modeling, Cyber Warfare, HFT, High Frequency Trading.

ACM FinTech Editors-Experts Panel: Global Computer Science Professors: FinTech Journal Special Issue

ACM, Association for Computing Machinery

2017 - 2017 (less than a year)

Global Computer Science Professors Editorial Team: FinTech Expert: National Institutes of Health (NIH)-Inspired IT Translational Health Care Research

Call for Papers: ACM Transactions on Management Information Systems (TMIS)

Special Issue on Advancing FinTech & TechFin Applications in Research, Policies and Practice (Download Call for Papers PDF)

Editor-in-Chief

Alexander Tuzhilin, New York University, Stern School of Business Guest Editors

J. Leon Zhao, Department of Information Systems, City University of Hong Kong, https:// www.cb.cityu.edu.hk/staff/jlzhao/, jlzhao@cityu.edu.hk

Matthias Jarke, Informatik 5 (Information Systems), RWTH Aachen University & Fraunhofer FIT, http:// dbis.rwth-aachen.de/cms, jarke@dbis.rwth-aachen.de

Roman Beck, IT University of Copenhagen, www.itu.dk, beck@itu.dk

Yogesh Malhotra, Global Risk Management Network, LLC, http://www.yogeshmalhotra.com/, Dr.Yogesh.Malhotra@gmail.com.

Recently, academia, practitioners, and policy makers have focused much attention on financial technology start-ups (FinTech) and the integration of digital technology innovations in encumbent financial players (TechFin). The current special issue will contain articles of significant reference value that integratively apply the above three lenses or synthesis thereof to advance applied research and practice 'outcomes' of greatest impact. For instance, analogous to the field of medicine, the "time is right" for the Information Systems field to advance with the current special issue, which encourages applied Information Systems Outcomes* research and practice using lenses such as Translational Research** among others.

Python Quants AI-Time Series Algorithmic Digital Currency Trading: Interactive Brokers-Gemini-OANDA

The Python Quants GmbH

2017 - 2017 (less than a year)

Inspired by Benoit B. Mandelbrot, furthering applied R&D focus on Complex Quantitative Analytics given interest in Volatility and Convexity Derivatives, building on Wall Street Hedge Funds leadership advancing on Anticipatory Risk Analytics-Model Risk Arbitrage Strategies presented at Princeton: recent Python Quant focus on TensorFlow Deep Neural Networks etc.

FinTech Python, NumPy, pandas, Jupyter Notebook applications:

Chief Digital Officer Pioneering Practices Adopted by World-Leading CEOs: Microsoft CEO Bill Gates

Bloomberg Businessweek

1993 - 2006 (13 years)

Business Week [e-Business]: "What every CEO should know."

Fortune: Interview: AI-ML-Data Science Pioneer: World's Largest Digital Transformation Network

Fortune

1993 - 2006 (13 years)

“Yogesh Malhotra says his vision is to fill the gaps between business and technology, data and knowledge, and, theory and practice...” -- in Fortune Interview, Knowledge Economy Special issue, June 1998.

The Wall Street Journal Reviews: Complexity Pioneers: World's Top Knowledge Management Network

The Wall Street Journal

1993 - 2006 (13 years)

The Wall Street Journal: Interview by Thomas Petzinger Jr.: Complexity Theory Pioneers:

After Seeing Four Editorial Reviews by The Wall Street Journal, We Stopped Counting:

"Complexity theory made easy..." - The Wall Street Journal

"Pool of largest collection of knowledge management literature..." - The Wall Street Journal "Contemporary business management and technology issues..." - The Wall Street Journal "SHRM: One of the best HR sites on the Internet..." - The Wall Street Journal: Career Journal

Chief Knowledge Officer Pioneering Practices Adopted by World-Leading CKOs: PwC Vice Chairman-CKO

Fast Company

1993 - 2006 (13 years)

Fast Company:: "If @Brint doesn't have it, then you probably don't need it." https://www.fastcompany.com/39678/nerds-need-apply

PwC Vice-Chairman-CKO Ellen Knapp, Fast Company Interview https://www.fastcompany.com/33028/my-favorite-bookmarks-ellen-knapp

NSF HQ Leadership: 32 National Computer Scientists Expert Panels: Multi- Million $ SBIR/STTR Grants

National Science Foundation (NSF)

2002 - 2005 (3 years)

NSF HQ SBIR/STTR Grants: Expert Panels: Multi-million dollar grant awards for US Cyber-IT innovations.

CNET Networks Corporate Computing Award: Most Influential Research: Why [Networked] KM Systems Fail?

CNET

2002 - 2002 (less than a year)

Institute for Supply Management: Building Agile & Resilient Digital Supply Chain Architectures

Institute for Supply Management

2002 - 2002 (less than a year)

Knowledge Management: The Supply Chain Nerve Center: Inside Supply Management™: July 2002 PDF: http://yogeshmalhotra.com/SupplyChainManagement.pdf .

Intel Corporate Advisor: Next Generation Agile & Resilient Digital e-Enterprise Architectures

Intel Corporation

2001 - 2002 (1 year)

British Telecom Corporate Advisor & Visionary: Global Telecom Customer Relationships Management-KM

BT Group

2001 - 2001 (less than a year)

McKinsey Silicon Valley Partners Strategy Advisor: Global Consulting Knowledge Architect-Intranets

McKinsey & Company

2001 - 2001 (less than a year)

Conference Board Malcolm Baldrige Awarded CxOs Leader: KM for Business Performance Beyond TQM-BPR

The Conference Board

1999 - 2001 (2 years)

Conference Board, “Managing Knowledge for e-Business Performance”, Leading New Economy…

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

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

IT-eBusiness-KM Executive-MBA Professor: Silicon Valley Leader: US-World Governments Advisor

Florida Atlantic University

1998 - 2001 (3 years)

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

Vision Korea National Campaign, “Knowledge Management for New Digital Economy,” Opening Plenary Keynote Presentation, Seoul, South Korea, May 13, 2000. Addressed Korea’s 400 national industry, academia leaders and CxOs among Speakers such as the Booz Allen Hamilton Chief Knowledge Officer.

KMWorld, “Knowledge Management for High Performance e-Enterprises: Business Strategy & Technology for Internet Time”, KMWorld 2000, Santa Clara, CA, Sep. 12-Sep. 15, 2000. Addressed Silicon Valley VCs and CEOs as the Computerworld's Top Digital Site-Search Engine-Social Network Founder.

Government of Mexico, “Knowledge Management and Transformation of the Government: Opportunities and Challenges,” Opening Plenary Keynote to Annual National Parliament Cabinet Ministers Conference, Mexico City, Mexico, September 28, 1999. Addressed Parliament-Cabinet Ministers, 13 National CIOs, 600 top IT Executives. My keynoote was followed by that of Global Head of G8 Electronic Governments for UK Prime Minister Tony Blair.

TiE Global Silicon Valley, "Growing Business Enterprises on the Net: The Way of the Wild Wild Web," Invited Opening Plenary Keynote, Cerritos, CA, April 21, 1999. Addressed Angel Investors, VCs and CEOs. Hosted by TiE Global Silicon Valley Board of Director Founders, Safi Qureshey and Navneet Chugh. My Keynote was followed by that of co-founder of Silicon Graphics.

Conference Board U.S. Quality Council, “Beyond TQM & BPR: Leveraging Knowledge and IT for Business Performance,” Invited Opening Plenary Keynote, Fort Lauderdale, FL, February 24, 1999. Addressed Malcolm Baldrige National Quality Award winning CxOs.

Kellogg School of Management Invited Executive Education Faculty: Digital Transformation-KM Pioneer

Northwestern University - Kellogg School of Management

2000 - 2000 (less than a year)

Top-3 Knowledge Management Scholars-Practitioners: Drexel Global Worldwide Survey: ISWorld

Drexel University

2000 - 2000 (less than a year)

South Korea National Digital Transformation Leader: Vision Korea Campaign National Digital Visionary

Maeil Business Newspaper (매일경제)

1998 - 2000 (2 years)

Silicon Valley Venture Capitalists-CEOs Leader: Global Digital Enterprises on the Wild Wild Web

TiE

1999 - 1999 (less than a year)

Government of Mexico G8 E-Government National Leader: Cabinet Ministers, 13 CIOs, 600 IT Executives

Presidencia de la República - Mexico

1999 - 1999 (less than a year)

U.S. CIOs-CTOs Global & National Information Infrastructures Leader: E- Commerce Standards

Ziff Davis

1995 - 1999 (4 years)

INSEAD (France) Faculty Presentations: IT-Operations Research: Digital Transformation-KM

INSEAD

1998 - 1998 (less than a year)

Carnegie Mellon University: Invited Executive Education Faculty: Digital Transformation-KM Pioneer

Carnegie Mellon University

1998 - 1998 (less than a year)

Carnegie Mellon University & University of Pittsburgh - Joint Executive Education Faculty Session: Invited Executive Education Faculty: Digital Transformation-KM Pioneer (Courtesy: My PhD Thesis Advisor Dr. Dennis F. Galletta - Leading that Executive Education Course.

Education

Stanford University

Advancing on Stanford AI-ML Building the Future of AI-ML-Computer Science R&D, Practices, Workforce Development: AWS Academy Educator: AWS Machine Learning University: College Faculty Machine Learning Bootcamp

Massachusetts Institute of Technology

AI Faculty-Subject Matter Expert: MIT Computer Science-AI Lab & MIT Sloan School of Management, Artificial Intelligence, Machine Learning, Deep Learning, NLP, RPA, Robotics

Princeton University

SSRN 123+ Top-10 R&D Rankings, Top 1% Author: AI-Quant-Cyber-Crypto-Quant- Finance-Networks-Computing, AI-ML-DL-Quant Finance-Cyber-Crypto-Quantum-Risk- Computing-Network-Security-Cryptography-Engineering

The State University of New York

Beyond Stanford AI: Human-Centered Meaning-Aware AI-Machine Learning Professor-Andragogy Pioneer, Beyond Stanford AI: Human-Centered Meaning-Aware AI-Machine Learning Professor-Andragogy Pioneer

First, critical analysis of intuitive applied AI-ML knowledge built by the world-leading AI-ML Stanford Computer Science & Engineering DeepLearning.AI curricular focus to address large-scale real-world failures of such systems. Second, critical review of the world-leading AI-ML Computer Science & Engineering R&D practices by world-leading AI-ML companies such as Amazon-AWS to address Quantum Uncertainty, Dynamic Uncertainty and Adversarial Uncertainty on which instructor’s R&D leads industry practices. Third, Computer Science & Systems Engineering advancement of ‘Data- Driven’ AI-ML to ‘Network-Centric’ Management of Dynamic Change, Quantum Uncertainty and Complexity as Self-Adaptive Complex Systems & Chaos Engineering pioneer recognized in the global press such as The New York Times and The Wall Street Journal.

Carnegie Mellon University - Tepper School of Business

PhD Courses-PhD Instructor: Advanced Statistical Modeling, Structural Equation Modeling, Advanced Statistical Modeling, Structural Equation Models; Instructor: Quantitative Survey Methods

Northwestern University - Kellogg School of Management

PRMIA Risk Management Executive Education Applied Math-Statistical Physics: Quantitative Risk Models, Post-Doc R&D: Quantitative Finance Risk Modeling & Risk Management: VaR & Extreme Risk Models

University of California, Berkeley

Executive Education Program: Master of Financial Engineering: 3 MFE Courses: Quantitative Finance, Post-Doc R&D: Financial Engineering: MFE Exec Program for Financial Engineers C++, Math, Statistics

University of California, Berkeley, Haas School of Business

Master of Financial Engineering: Executive Education: Quantitative Finance, Post-Doc R&D: Financial Engineering: MFE Exec Program for Financial Engineers C++, Math, Statistics

Fordham University

Master of Science (MS) Quantitative Finance, Top-14 MS Finance Specialty: US News & World Report '12, Post-Doc R&D: Quant Finance (Applied Math), Econometrics, Derivatives, Quant Risk Modeling, 3.7/4.0

Fordham Gabelli School of Business

Master of Science (MS) Quantitative Finance, Top-14 MS Finance Specialty: US News & World Report '12, Post-Doc R&D: Quant Finance (Applied Math), Advanced Econometrics, Derivatives, Quant Risk Modeling

Syracuse University - Martin J. Whitman School of Management

Syracuse University: R&D Impact Among AI-Quant Finance Nobel Laureates: Herbert Simon, Black-Scholes, Associate Professor MIS-Management Science, Assistant Professor of Quantitative Methods: IT/OR MBAs

Syracuse University Associate Professor of MIS & Management Science - Promoted; Merged into Accounting Dept.: Accounting Dept. Dean's AACSB Learning Assurance Committee Member

Carnegie Mellon University

PhD Courses-PhD Instructor: Advanced Statistical Modeling, Structural Equation Modeling, Advanced Statistical Modeling, Structural Equation Models; Instructor: Quantitative Survey Methods

GSIA0908 Research Methods in Behavioral Science I: Structural Equation Modeling.

GSIA0909 Research Methods in Behavioral Science II: Advanced Structural Equation Modeling.

SUNY Polytechnic Institute

Post- Doc AI-ML-Quant-Cyber-Crypto-Quantum-Risk Computing-Cyber-Risk-Networks Engineering Thesis, AI-ML-Quant-Cyber-Crypto-Quantum-Risk Computing-Cyber- Risk-Networks Engineering

Given history of model risks associated with VaR, we investigate if current reliance of cyber insurance modeling on VaR entails model risk. We develop frameworks to benchmark relative levels of tail risks and systemic risks associated with cyber risk vis-à-vis financial risks typically modeled with VaR. Our analysis reveals that cyber risk entails exponentially higher tail risks and systemic risks thus making VaR unfit for reliance as the primary risk model for cyber insurance modeling. We develop specific frameworks of model risk management for cyber insurance modeling and demonstrate their empirical application in model risk management. We distinguish between model risks arising from the choice

of specific quantitative models from those arising from the choice of quantitative methodologies. We demonstrate how to manage model risks associated with VaR. We also offer alternative coherent risk measures as better alternatives to VaR and empirically demonstrate their application.

Florida Atlantic University

IT- eBusiness-KM Executive-MBA Professor: Silicon Valley Leader: US-World Governments Advisor, IT-eBusiness-KM Executive-MBA Professor: Silicon Valley Leader: US-World Governments Advisor

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

Vision Korea National Campaign, “Knowledge Management for New Digital Economy,” Opening Plenary Keynote Presentation, Seoul, South Korea, May 13, 2000. Addressed Korea’s 400 national industry,

academia leaders and CxOs among Speakers such as the Booz Allen Hamilton Chief Knowledge Officer.

KMWorld, “Knowledge Management for High Performance e-Enterprises: Business Strategy & Technology for Internet Time”, KMWorld 2000, Santa Clara, CA, Sep. 12-Sep. 15, 2000. Addressed Silicon Valley VCs and CEOs as the Computerworld's Top Digital Site-Search Engine-Social Network Founder.

University of Pittsburgh

2x45 Cr PhD: Digital Pioneer: Artificial Intelligence-Machine Learning, Telecom GII- NII, Networks, Top 10 IT PhD IS-Quant Methods AI-Accounting-Controls-Risk Models- Telecom-Networks > 2x45 Cr

Invited PhD R&D Fellowship with Founder of Information Systems & IT Strategy University Professor William R. King.

University of Pittsburgh Katz Graduate School of Business

Top-10 PhD Fellowship: AI-Machine Learning, Telecom Networks-Social Networks, Controls-Risk Models, Top-10 MIS PhD: Artificial Intelligence-Machine Learning, GII- NII Telecom Network Infrastructures

Invited PhD R&D Fellowship with Founder of Information Systems & IT Strategy University Professor William R. King.

University of Pittsburgh School of Computing and Information

PhD R&D: Telecommunications: Global & National Information Infrastructures NII & GII Pioneer, National Information Infrastructure, Global Information Infrastructure

University of Pittsburgh School of Education

PhD R&D: Artificial Intelligence-KM Pioneer: AI-Human-Machine Learning Advanced Statistical Methods, Artificial Intelligence & Knowledge Management, Advanced Analytics & Data Science, ANOVA, ANCOVA

University of Pittsburgh Graduate School of Public and International Affairs (GSPIA)

PhD R&D: Advanced Statistical Multivariate Analysis, ANOVA, ANCOVA, PCA, Factor Analysis, Advanced Analytics, Advanced Data Science, Advanced Statistics, Advanced Probability

SUNY Polytechnic Institute

MS Network & Computer Security: Engineering, 1st Rank: Highest GPA, SUNY Outstanding Student Award, Post-Doc R&D: AI-ML-Cyber-Crypto-Quantum, Network & Computer Security, Pen Testing-Ethical Hacking

SUNY Polytechnic Institute

Master of Science (MS) Computer Science, College of Engineering, Post-Doc R&D: Computer Science, Algorithms, AI-ML, Cryptography, Info Assurance, Quantum Computing

SUNY Polytechnic Institute

MS Accountancy: 1st Rank with Highest GPA 4.0/4.0: SUNY Perfect GPA Award, Business: CPA Education, Post-Doc R&D: Global Financial Crisis­: Financial Risk Metrics & Models: Model Risk Management: MTM

University of Nevada-Las Vegas

MBA, 1st Rank with Highest GPA 4.0/4.0, Full Scholarship & Hypermedia R&D Fellowship-B2B Pioneer, Quant Economics, Advanced Statistics, Econometrics, Optimization: Big-3 Global Bank Merger IT Leader

Delhi College of Engineering

B. Eng. with Distinction: Highest Honors, Delhi University: "DCE": Mother Institution of IIT Delhi, Mechanical Engineering, Engineering Design, Electrical & Mechanical Engineering, Electronics

Licenses & Certifications

PRMIA Complete Course in Risk Management - PRMIA - Professional Risk Managers' International Association

Kellogg School of Management

. Certified Ethical Hacker, CEH, EC-Council: 2014-Current: DoDD 8140 CSSP Incident Responder, CSSP Infrastructure Support, CSSP Analyst, CSSP Auditor - EC-Council

2014-Current: Certified Ethical Hacker: DoDD8140 Top3 IT Security Certifications

Ethical Hacking & Countermeasures for Penetration Testing - EC-Council

CCP- CDP, Certified Computing Professional-Certified Data Professional, ICCP, Institute for the Certification of Computing Professionals: Constituent Societies:

ACM, AITP, CIPS, DAMA - ICCP

Certified Computing Professional, ICCP

Certified University Faculty in Supply Chain Management: ERP: SAP-ERP Enterprise Resource Planning - SAP

Certified University Faculty in Supply Chain Management: CRM: SAP-CRM Customer Relationship Management - SAP

Certified Public Accountant (Education), State of New York - AICPA

American Bankers Association: Multiple Certifications & Top-Rank Awards - American Bankers Association


Certified University Faculty in Entrepreneurship: Lifelong Learning for Entrepreneurship Education - Ewing Marion Kauffman Foundation

. Japanese Language Program for Managers, Japanese MD's Top-Rank Award - Maruti Suzuki India Limited

Ken Blanchard on Servant Leadership - LinkedIn

https://www.linkedin.com/feed/update/urn:li:activity:6546523626152222720

Reid Hoffman and Chris Yeh on Blitzscaling - LinkedIn

https://www.linkedin.com/feed/update/urn:li:activity:6616326878393364480/

. CISA Certified Information Systems Auditor (CISA) - 2007-Current: DoDD 8140 CSSP Auditor - ISACA

2007-Current: CISA by ISACA: : Top-3 DoDD 8140 Cybersecurity Certifications

. CISSP (ISC2-CISSP): CISSP - 2005-Current - Certified Information Systems Security Professional: (ISC)2 Security: DoDD 8140 CSSP Manager - ISC2 2005-Current: CISSP by (ISC)²: Top-3 DoDD 8140 Cybersecurity Certifications

Executive Presence on Video Conference Calls - LinkedIn

Brad Feld on Raising Capital - LinkedIn

LinkedIn: Guy Kawasaki on Entrepreneurship - LinkedIn

https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship

IBM Quantum Computing: Certificate of Quantum Excellence: 2020 IBM Qiskit Global Summer School: Grade: 100% - IBM

IBM Quantum Computing: Certificate of Participation: 2020 IBM Qiskit Global Summer School: Grade: 100% - IBM

Brad Feld on Validating Your Startup Idea - LinkedIn

https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea

Advancing NIST RMF to AI-Quantum Risk & Uncertainty Management: Offensive & Defensive Cyber Security - National Institute of Standards and Technology (NIST) https://lnkd.in/ejT_CMj


Python Quants Algo-Crypto Trading: AI-ML-DL: SciPy, NumPy, pandas, ScikitLearn, TensorFlow, Jupyter - The Python Quants GmbH

AI, Machine Learning, DL: SciPy, NumPy, pandas, ScikitLearn, TensorFlow, Jupyter

Cloud Architecture: Advanced Concepts - LinkedIn

Ethical Hacking: Wireless Networks - LinkedIn

New York State Cyber Security Conference Cyber Security Industry Expert 2016- Current: DoD Directive 8140 (DoDD 8570) Certifications: CISSP 2005-, CISA

2007-, CEH 2014-: - NYS Office of Information Technology Services

Annual New York State Cyber Security Conference CPEs

Presentation Tips for Pitching to Investors - LinkedIn

Preparing for a Zero Trust Initiative Course - Great Framework Review for Those Who Have Already Led Zero Trust Industry Executions: CISSP 2005-, CISA 2007-, CEH 2014-: State of New York Zero Trust Practices Pioneer: - ISC2

Preparing for a Zero Trust Initiative: Recommended for Zero Trust Practitioners

Securing Containers at the Speed of Devops Course: DevSecOps Cloud Security Containerization, Automation & Orchestration: Docker & Kubernetes: CISSP

2005-, CISA 2007-, CEH 2014-: State of New York CISO Expert: AI-Quant-Cyber- Crypto-Quantum-Risk Computing - ISC2

Securing Containers At The Speed Of Devops Course: Cloud Security DevSecOps

Amazon: AWS Cloud Essentials for Business Leaders Professional Training: Instructor Led Training - Amazon Web Services (AWS)

AWS Cloud Essentials for Business Leaders

MATLAB Fundamentals and Programming Techniques, The Mathworks - MathWorks


Amazon: AWS Cloud Technical Essentials Day Professional Training: Instructor Led Training - Amazon Web Services (AWS)

AWS Cloud Technical Essentials

AWS Cloud Technical Essentials Day for Government Professional Training: Instructor Led Training Webinar - Amazon Web Services (AWS)

AWS Cloud Technical Essentials for Government

Amazon: AWS Cloud Practitioner Essentials Day Professional Training: Instructor Led Training Webinar - Amazon Web Services (AWS)

AWS Cloud Practitioner Essentials Professional Training

AWS Skills Center: Cloud Practitioner Essentials part 2 of 2: Professional Training: Instructor Led Training - Amazon Web Services (AWS)

AWS Skills Center: Cloud Practitioner Essentials part 2 of 2

AWS Skills Center: Cloud Practitioner Essentials part 1 of 2: Professional Training: Instructor Led Training - Amazon Web Services (AWS)

AWS Skills Center: Cloud Practitioner Essentials part 1 of 2

AWS Cloud Machine Learning Basics: Professional Training: Instructor Led Webinar - Amazon Web Services (AWS)

AWS Cloud Machine Learning Basics

AWS Cloud Practitioner Essentials Day for US Federal Government Professional Training: Instructor Led Training Webinar - Amazon Web Services (AWS)

AWS Cloud Practitioner Essentials Day for US Federal Government

.AWS Partner Building Data Lakes on AWS (Technical) - Amazon Web Services (AWS)

AWS Partner Building Data Lakes on AWS (Technical)

Venture Capital and Private Equity Principals Techstars in Collaboration with Kauffman Fellows: Venture Deals Spring 2022 Course: Invited Venture Capitalist,

Entrepreneur & Investor: Focus: "Fundraising and Investing in Early-Stage Entrepreneurs." - Techstars

Venture Deals Spring 2022: Invited Venture Capitalist, Entrepreneur & Investor

AWS Partner Accreditation (Business) - Amazon Web Services (AWS)

AWS Partner Accreditation (Business)

AWS Partner Accreditation (Technical) - Amazon Web Services (AWS)

AWS Partner Accreditation (Technical)

AWS Partner Accreditation (Cloud Economics) - Amazon Web Services (AWS)

AWS Partner Accreditation (Cloud Economics)

. AWS Partner Well-Architected Best Practices (Technical) - Amazon Web Services (AWS)

AWS Partner Well-Architected Best Practices (Technical)

.AWS Professional Services Security Best Practices - Amazon Web Services (AWS)

AWS Professional Services Security Best Practices

.AWS Partner IoT on AWS (Technical) - Amazon Web Services (AWS)

AWS Partner IoT on AWS (Technical)

. AWS Partner Migrating Your Application to AWS (Technical) - Amazon Web Services (AWS)

AWS Partner Migrating Your Application to AWS (Technical)

. AWS Partner Migrating to AWS (Technical) - Amazon Web Services (AWS)

AWS Partner Migrating to AWS (Technical)

AWS Partner Machine Learning on AWS (Business) - Amazon Web Services (AWS)

AWS Partner Machine Learning on AWS (Business)

AWS Partner Foundations for Public Sector (Business) - Amazon Web Services (AWS)

AWS Partner Foundations for Public Sector (Business)

.AWS Partner AWS for Microsoft Workloads (Technical) - Amazon Web Services (AWS)

AWS Partner AWS for Microsoft Workloads (Technical)

.AWS Partner Containers on AWS (Technical) - Amazon Web Services (AWS)

AWS Partner Containers on AWS (Technical)

AWS Partner Building Your Business with AWS for Executives - Amazon Web Services (AWS)

AWS Partner Building Your Business with AWS for Executives

. AWS Professional Services Cloud Adoption Framework - Amazon Web Services (AWS)

AWS Professional Services Cloud Adoption Framework

AWS Partner Data Analytics on AWS (Business) - Amazon Web Services (AWS)

AWS Partner Data Analytics on AWS (Business)

. AWS Partner Advanced Migrating to AWS (Technical) - Amazon Web Services (AWS)

AWS Partner Advanced Migrating to AWS (Technical)

.AWS Professional Services Operational Integration Best Practices - Amazon Web Services (AWS)

AWS Professional Services Operational Integration Best Practices

. AWS Partner Advanced AWS Well-Architected: State of New York Cloud Best Practices Leader: 2022 - Amazon Web Services (AWS)

AWS Partner Advanced AWS Well-Architected Best Practices

.AWS Partner Containers on AWS (Technical) - Amazon Web Services (AWS)

AWS Partner Containers on AWS (Technical)

AWS Partner Accreditation (Business) - Amazon Web Services (AWS)

AWS Partner Accreditation (Business)

.AWS Partner Advanced Migrating to AWS (Technical) - Amazon Web Services (AWS)

AWS Partner Advanced Migrating to AWS (Technical)

. AWS Partner Migrating to AWS (Technical) - Amazon Web Services (AWS)

AWS Partner Migrating to AWS (Technical)

AWS Professional Services: Building a Contact Center using AWS - Amazon Web Services (AWS)

AWS Professional Services: Building a Contact Center using AWS

AWS Partner: Security Governance at Scale (Business) - Amazon Web Services (AWS)

AWS Partner: Security Governance at Scale (Business)

AWS Partner: VMware Cloud on AWS (Technical) - Amazon Web Services (AWS)

AWS Partner: VMware Cloud on AWS (Technical)

AWS Professional Services: Cloud Advisory - Amazon Web Services (AWS)

AWS Professional Services: Cloud Advisory

.AWS Partner IoT on AWS (Technical) - Amazon Web Services (AWS)

.AWS Partner IoT on AWS (Technical)

AWS Partner Security Governance at Scale (Technical) - Amazon Web Services (AWS)

AWS Partner Security Governance at Scale (Technical)

AWS Partner Machine Learning on AWS (Technical) - Amazon Web Services (AWS)

AWS Partner Machine Learning on AWS (Technical)

.AWS Partner Containers on AWS (Technical) - Amazon Web Services (AWS)

.AWS Partner Containers on AWS (Technical)

AWS Partner Machine Learning on AWS (Technical) - Amazon Web Services (AWS)

AWS Partner Machine Learning on AWS (Technical)

. AWS Partner Machine Learning on AWS (Technical) - Amazon Web Services (AWS)

AWS Partner Machine Learning on AWS (Technical)

AWS Partner Security Governance at Scale (Technical) - Amazon Web Services (AWS)

AWS Partner Security Governance at Scale (Technical)

AWS Partner Security Governance at Scale (Technical) - Amazon Web Services (AWS)

AWS Partner Security Governance at Scale (Technical)

AWS Partner Migration Business Case Development (Business) - Amazon Web Services (AWS)

AWS Partner Migration Business Case Development (Business)

AWS Partner Migration Ambassador Foundations (Business) - Amazon Web Services (AWS)

AWS Partner Migration Ambassador Foundations (Business)

AWS Professional Services: Big Data and Analytics - Amazon Web Services (AWS)

AWS Professional Services: Big Data and Analytics

.AWS Partner Data Analytics on AWS (Technical) - Amazon Web Services (AWS)

AWS Partner Data Analytics on AWS (Technical)

.AWS Partner Data Analytics on AWS (Technical) - Amazon Web Services (AWS)

AWS Partner Data Analytics on AWS (Technical)

AWS Partner Security Governance at Scale (Business) - Amazon Web Services (AWS)

AWS Partner Security Governance at Scale (Business)

. AWS Professional Services Security Best Practices - Amazon Web Services (AWS)

AWS Professional Services Security Best Practices

.AWS Professional Services: Building a Contact Center using AWS - Amazon Web Services (AWS)

AWS Professional Services: Building a Contact Center using AWS

. AWS Partner Migrating Your Application to AWS (Technical) - Amazon Web Services (AWS)

AWS Partner Migrating Your Application to AWS (Technical)

. AWS Professional Services: Big Data and Analytics - Amazon Web Services (AWS)

AWS Professional Services: Big Data and Analytics

. AWS Partner Building Data Lakes on AWS (Technical) - Amazon Web Services (AWS)

AWS Partner Building Data Lakes on AWS (Technical)

. AWS Partner Advanced AWS Well-Architected: State of New York Cloud Best Practices Leader: 2022 - Amazon Web Services (AWS)

AWS Partner Advanced AWS Well-Architected Best Practices

. AWS Partner: SAP on AWS (Technical) - Amazon Web Services (AWS)

AWS Partner: SAP on AWS (Technical)

. AWS Partner: Security Best Practices (Technical) - Amazon Web Services (AWS)

. AWS Partner: Security Best Practices (Technical)

* AWS Certified Cloud Practitioner - Amazon Web Services (AWS)

AWS Certified Cloud Practitioner certificate.pdf

. AWS Partner: SAP on AWS (Business) - Amazon Web Services (AWS)

. AWS Partner: SAP on AWS (Business)

. AWS Partner: Building Data Analytics Solutions using Amazon Redshift (Technical) - Amazon Web Services (AWS)

AWS Partner: Building Data Analytics Solutions using Amazon Redshift (Technical)

. AWS Authoring Visual Analytics using Amazon QuickSight - Amazon Web Services (AWS)

AWS Authoring Visual Analytics using Amazon QuickSight

. Amazon AWS Cloud Amazon SageMaker for AI-ML-DL: Instructor Led Training Webinar - Amazon Web Services (AWS)

. Amazon AWS Cloud Amazon SageMaker for AI-ML-DL, Instructor: Dr. Girisha Garg

. Amazon AWS Designing Blockchain Solutions using Amazon Managed Blockchain: Instructor Led Training Webinar - Amazon Web Services (AWS)

. AWS Designing Blockchain Solutions: Amazon Managed Blockchain:Prahlad Kulkarni

. AWS Certified Solutions Architect – Associate - Amazon Web Services (AWS)

. AWS Certified Solutions Architect – Associate

. AWS Certified Solutions Architect – Associate - Amazon Web Services (AWS)

AWS Certified Solutions Architect – Associate

AWS Partner: Accreditation (Business) - Amazon Web Services (AWS)

Certified Information Systems Security Professional (CISSP) - ISC2

Issued Jun 2005 - Expires Jun 2023

. AWS Certified Cloud Practitioner - Amazon Web Services (AWS)

AWS Certified Cloud Practitioner

Well-Architected Proficient - Amazon Web Services (AWS)

Migration Ambassador Foundations (Business) 2022 - Amazon Web Services (AWS)

Skills

Artificial Intelligence (AI) • Machine Learning • Cloud Computing • Network Security • Systems Engineering • System Architecture • Systems Design • Product Development • Program Management


2018 Princeton Quant & FinTech Conference, Princeton University

2018


2017 MIT Industry Expert: AI, Machine Learning & Deep Learning

2017


2018 MIT Industry Expert: AI, Machine Learning & Deep Learning

2018


2018 Journal of Operational Risk: Bridging Networks, Systems & Controls Frameworks for Cybersecurity

2018


Google Mobile Apps Development: Grow with Google Scholarship


2017: ACM: Association for Computing Machinery: Global Computer Scientists Editorial Team: FinTech Industry Expert

2017


2016 National Association of Insurance Commissioners (NAIC) Expert Panel

2016


2018 AFCEA C4I and Cyber Conference: Model Risk Management in Operationalizing Machine Learning for Algorithm Deployment

2018


2018 CFA Society: Invited Keynote: Hedge Funds Chief Investment Officer Practices: JP Morgan & Goldman Sachs: AI & Auto-ML


2018 Block Chain Cloud Computing Go To Market: CEO Roadshow Presentations for Investors & Major Funds, Asia & Australia

Sep 2018

2018 CFA Society: Invited Keynote: Hedge Funds Chief Investment Officer Practices: JP Morgan & Goldman Sachs: AI & Auto-ML

Oct 2018


2018 Air Force Research Laboratory Commercialization Academy: Top-10 Cohort Enterprises - United States Air Force (USAF): Air Force Research Laboratory Commercialization Academy

Nov 2018


2019 New York State Cyber Security Conference: AI-Machine Learning Augmentation Presentation - State of New York

Jun 2019

2019 New York State Cyber Security Conference: AI-Machine Learning Augmentation Presentation Research Presentation at the 22nd New York State Cyber Security Conference Presentation, Albany, NY, June 4-6, 2019, Empire State Plaza, Albany, NY.


2019 AI Augmentation for Large-Scale Global Systemic and Cyber Risk Management Projects: Model Risk Management for Minimizing the Downside

Risks of AI and Machine Learning - Capco Institute

Apr 2019


2019: Artificial Intelligence Expert Interview: The Innovation Community (UK):

Beyond Innovator's Dilemma to Innovator's Insight: Beyond Data to Business Performance: - The Innovation Community (UK)

Dec 2019

Artificial Intelligence Expert Interview: The Innovation Community (UK): Beyond Innovator's Dilemma to Innovator's Insight: Beyond Data to Business Performance:

"We are what we repeatedly do. Innovation, then, is not an act, but a habit."

Department of the Air Force M&S Chief Technology Officer: Technical Director, Air Force Agency for Modeling and Simulation)

Nov 2020

Our contextual US Air Force (USAF) focus is on Advanced Battle Management System (ABMS) Joint All Domain Command & Control (JADC2), characterized as the ‘New American Way of War’ to yield

“significant advantage over everybody in the world for a long time” by The Joint Staff Chiefs Vice-Chair General Hyten. Focused on ‘real world’ ‘Systems of Systems’ and ‘Networks of Networks’, we advance beyond pervasive mainstream R&D on Quantum Computing “silos” to elucidate what we see as the new paradigm of the Real Time Network Centric Computing Warfare in the ABMS-JADC2 ‘concept’. By drawing upon our world-leading global practices on Management of Radical Discontinuous Changes (such as ‘Black Swans’), Uncertainty and Complexity, we focus on building most robust and resilient Human-Machine Systems informed by our R&D on Autonomy and Controls adopted by worldwide organizations including NASA and Big Banks.

Drawing upon our R&D on AI & Quantum Uncertainty, Quantum Computing is presented as a solution to the exponentially widespread challenges of Time, Space, and Sensory Complexity central to USAF’s Next Generation Air Dominance (NGAD) built on most optimal and resilient execution of ABMS-JADC2. Advancing upon our AI-ML-Quant-Cyber-Crypto-Quantum Computing and Risk Management practices, Quantum Computing is seen as enabler of ‘Massive Parallelism’ for Exponentially Fast Optimization enabling fast search at ‘speed of light’ for “Options” to Maximize Gains” While Minimizing “Risks.” Advancing beyond AI and Quantum Supremacy hype, we present how “The Hacker” focus leads beyond Command & Control (C2) to Adversarial C2 (AC2) and Counter-Adversarial C2 (CAC2) enabled C4I-Cyber-EMS (Electromagnetic Spectrum) based Control Doctrine to counter the challenges posed by the Adversary’s Unrestricted Warfare.

Keywords: Quantum Computing, Artificial Intelligence, Cryptography, Cybersecurity, Autonomy, Control, ABMS, JADC2, USAF, USSF, AIMLExchange, C4I-Cyber, US Air Force, US Space Force.


2021: C4I-Cyber Command & Control Supremacy: Why It’s More Critical Than AI & Quantum Supremacy & What You Can Do about It? Security in Post-

COVID Virtual Era Beyond Data, Models, Algorithms - 2021 New York State Cyber

Security Conference, June 8-9, 2021, Empire State Plaza - Albany, NY

Jun 2021

Despite exponential improvements in Data, Models, and, Algorithms and advancements in AI and Quantum Computing, the bar on national and organizational Security has been raised by COVID19 global disruptions including ongoing global cyber-attacks. As world’s first, foremost, and, largest Digital Transformation Network that pioneered Digital and Virtual Organizations practices spanning Silicon Valley, Wall Street, Pentagon, our latest Air Force Research Lab Ventures are advancing C4I-Cyber Command & Control (C2) Practices, Technologies, Ventures, and Networks to meet the post-COVID19 Risk Management realities. In spite of latest AI and Quantum Computing capabilities

powering Business-IT Performance, COVID19 has highlighted the critical significance of Resilience and Sustainability of C2 capabilities of Systems powering National Defense & Space, Critical Infrastructures, all Enterprises, and, Intra- and Inter-Enterprise Networks for organizational, national, and, global survival. Given unprecedented global and national cyber-attacks, critical Systems need to advance beyond C2 to include focus on Adversarial C2 and Counter-Adversarial C2 capabilities to survive

and thrive. Drawing upon our latest contributions to advancing US Global and National Defense & Space capabilities spanning Air-Space-Cyberspace such as the Advanced Battle Management System (ABMS) Joint All Domain Command & Control (JADC2), our latest State of New York Cybersecurity Conference presentation will help Cyber Security and Risk Management professionals, managers, and, leaders advance Beyond Data, Models, and Algorithms to preempt risks posed by latest adversarial threats. We shall build upon our Practices advancing upon the NIST Risk Management and Risk Engineering frameworks for AI, Machine Learning, Quantitative, Cyber, Crypto, and, Quantum Risk

Computing to counter the C2 risks for enterprises, systems, and, infrastructures – commercial, government, military, and other – connected to the Internet.


2022: AWS ExecLeaders Show: After Transformation... What's Next? - Amazon AWS: Amazon Web Services

Nov 2022

About ExecLeaders: ExecLeaders is an invite-only global community for business and technology leaders, featuring current affairs-style shows, discussion panels, events, and inspiring content from international leaders in business, academia, and public service.

After Transformation... What's Next?, featuring stories from Verizon, Intel, and NASA.

Innovation, Growth, and Responsible Business, where you'll hear from Verizon, NASA Harvest, and Intel executives on finding new ways to unlock solutions that are good for society as well as the bottom line.


2023: Beyond Data Protection to Command and Control (C2) Sustainability in a Post-COVID19 World: Execution of U.S. Data Protection Act for U.S. Data Protection Agency; U.S. Data Protection Act Proposal by US Senator for New

York Kirsten Gillibrand - Journal of Insurance and Financial Management

Jan 2023

The current article about execution of the Data Protection Act (DPA) proposal was sent a week before the State of New York state wide shut-down due to the global COVID-19 coronavirus pandemic to Senator Kirsten Gillibrand, the US Senator from the State of New York who had proposed the DPA. The article underscored the need to advance the focus of its execution beyond ex-post reactive penalization of respective firms for compromise of privacy of personal information by firms 'storing' such data to focus on ex-ante Sustainability and Survival material to individuals. There were two specific issues underlying the above recommendations. First, it is not just about storage of such 'entrusted' data but

if and how such data was 'exploited' by the trusted firms to Command & Control the Survival and Sustainability of respective individuals. Second, in most cases, those firms may not even be responsible for such compromise of individual data entrusted to them given that they are themselves subject to being 'hacked' by third parties. Hence, to solve the more critical systemic problem encompassing all individuals and firms, we need to build and stress-test systems to preempt and prevent such 'hacking' attacks in addition to the proposed normative compliance measures. Essentially, for Sustainability

and Survival of individual Command & Control (C2), we need to focus on developing and deploying Adversarial C2 systems to stress test the robustness of C2 systems as well as Counter-Adversarial C2 to counter the adversarial threats.

The specific focus of global networked systems, infrastructures, and networks that can get impacted in global systemic exponential cascading attacks given the inter-connectivity of networks and

often endogenous nature of such attacks was compared with analogous global contagion risks of COVID-19 and their global and national 'spread' that all are monitoring. Continued: https://ssrn.com/ abstract=4326658 .


2022 Framework of CreditMetrics Methodology for Credit VaR - IUP Journal of Financial Risk Management

Sep 2022

Framework of CreditMetrics Methodology for Credit VaR

Malhotra, Yogesh. Framework of Credit Metrics Methodology for Computing Credit VaR, IUP Journal of Financial Risk Management. Sep 2022, Vol. 19 Issue 3, p 38-49. 12p.

Abstract

Financial institutions are subject to many sources of risk, where risk often represents the degree of uncertainty about future net returns. Credit Risk can result in potential loss due to the inability of a counterparty to meet its obligations and is a function of the credit exposure, the probability of default and the loss in the event of default. For a given credit instrument portfolio of Credit obligations such as a portfolio of corporate bonds or swaps, Credit Value-at-Risk (VaR) quantifies how much at most can be lost with a given probability over a specific time horizon (Malhotra 2015). The associated CreditMetrics Methodology, originally introduced in 1997 by JP Morgan has become the “de facto industry standard” along with Credit VaR for credit risk modeling among global financial institutions as well as their regulators (Malhotra 2022). Described by Hull (2011 and 2012) as ‘a procedure for calculating credit value at risk’, CreditMetrics methodology (RiskMetrics Group, 2007) is used for assessing portfolio

risk due to changes in bond or debt value caused by credit quality changes, including credit migration (upgrades and downgrades) as well as default. It measures the uncertainty in forward value of the bond portfolio at the risk horizon caused by such credit events. By distinguishing high quality well-diversified portfolios from low-quality concentrated portfolios, CreditMetrics offers better understanding of credit risk in terms of diversification benefits and concentration risk compared to standard capital adequacy measures.

Keywords: Credit Risk, CreditMetrics, Credit VaR, VaR, Value at Risk, Transition Matrices, Credit Ratings, Forward Pricing, Forward Price Curves, Fixed Income, Bonds, Bond Defaults, Credit Defaults...


2022 Beyond 'Bayesian vs. VaR' Dilemma to Empirical Model Risk Management: Managing Risk for Hedge Funds, IUP Journal of Financial Risk Management. - IUP Journal of Financial Risk Management

Jun 2022

In the aftermath of the Global Financial Crisis, some risk management practitioners have advocated wider adoption of Bayesian inference to replace Value- at-Risk (VaR) models in order to minimize risk failures. Despite its limitations, the Bayesian methodology has significant advantages. Just like all other quantitative models, VaR—[mostly] non-Bayesian and [increasingly] Bayesian—continues to be a key methodological foundation of risk management and regulation-related risk modeling practices in global finance. Many studies have noted that Bayesian inference modeling and VaR modeling frameworks facilitate model risk management for minimizing risks. VaR frameworks are empirically applied for hedge fund risk modeling of multi-asset fund of funds portfolios of a large investment bank. In this study, multiple risk models and measures with transparent assumptions to cross-validate convergent findings across multiple levels of risk analysis are examined for empirical model risk management.

Keywords: Model Risk Management, Risk Modeling, Bayesian Inference, VaR, Portfolio Construction, Portfolio Optimization, Fund of Funds, Hedge Funds

JEL Classification: B23, C1, C10, C11, C12, C13, C14, C15, C19, C22, C32, C4, C5, C51, C52, D81, G11

2022 How You Can Implement Well-Architected ‘Zero Trust’ Hybrid-Cloud Computing Beyond ‘Lift and Shift’: Cloud-Enabled Digital Innovation at Scale with Infrastructure as Code (IaC), DevSecOps and MLops: SSRN Top-10 R&D

Rankings - 2022 New York State Cyber Security Conference

Jun 2022

SSRN Top-10 R&D Rankings:

Decision- Making in Computational Design & Technology eJournal, 31 July 2022 DecisionSciRN: Digital Transformation, Jul 25, 2022

DecisionSciRN: Technology Adoption & Diffusion, Jul 25, 2022

Exponential improvements in Cloud Computing architectures and capabilities offer unprecedented speed and agility for global Digital Innovation along with much needed integration of Smart Automation and Cyber Resilience at scale. However, as evident from industry surveys of business and technology executives, most need help in getting up to speed with the rapidly evolving Cloud technology platforms and architectures. Given the rapidly accelerating pace and sophistication of global cyber-attacks threatening critical IT-OT infrastructures, advancing beyond “legacy” on-premises and virtualized data centers is not a matter of discretionary choice, but a matter of existential survival. Drawing upon our Big-3 Cloud Computing Network Partner practices with comparative understanding of the leading Cloud Computing Providers and related Cloud Computing implementation and migration strategies, we advance technology leaders’ understanding about the key Cloud Computing implementation-migration strategies and related technological-architecture issues hence enabling systematic Cloud adoption.

Keywords: Cloud Computing, Agility, Resilience, AI, Machine Learning, Cybersecurity, Well Architected Framework, Cloud Adoption Framework, Infrastructure As Code, MLOps, DevSecOps, CI/CD, Microservices, Containers, Self Adaptive Complex Systems, Chaos


2022 AWS Cloud Computing Boards-CEOs Reference Guide: How You Can Implement Well-Architected ‘Zero Trust’ Hybrid-Cloud Computing Beyond ‘Lift and Shift’: Cloud-Enabled Digital Innovation at Scale with Infrastructure as Code

(IaC), DevSecOps and MLops - 2022 New York State Cybersecurity Conoference

Jun 2022

Conference Presentation Video: https://youtu.be/1gd6mKeHJuw :

387-Pg PDF Guide: https://ssrn.com/abstract=4131044 :

Cloud Computing CEOs-CTOs-CIOs-CFOs-CXOs Reference Guide: How You Can Implement Well- Architected ‘Zero Trust’ Hybrid-Cloud Computing Beyond ‘Lift and Shift’: Cloud-Enabled Digital Innovation at Scale with Infrastructure as Code (IaC), DevSecOps and MLops: Cloud Computing: Computing as Global Agile Resilient On-Demand Infinitely Scalable Utility:

"CEOs- CxOs must realize that the Future of Computing as Global Agile Resilient On-Demand Infinitely Scalable Utility is already happening NOW. Worldwide Future-Focused CEOs-CxOs and Boards are already choosing to and planning to advance beyond "Undifferentiated Heavy Lifting" with Zero or Negative Value to Positive Business Performance Value. The latest Computing evolution is even more significant than the coming of the WWW."

Exponential improvements in Cloud Computing architectures and capabilities offer unprecedented speed and agility for global Digital Innovation along with much needed integration of Smart Automation

and Cyber Resilience at scale. However, as evident from industry surveys of business and technology executives, most need help in getting up to speed with the rapidly evolving Cloud technology platforms and architectures. Given the rapidly accelerating pace and sophistication of global cyber-attacks threatening critical IT and OT infrastructures, advancing beyond “legacy” on-premises and virtualized data centers is not a matter of discretionary choice, but a matter of existential survival. Drawing upon our Big-3 Cloud Computing Network Partner practices with comparative understanding of the leading Cloud Computing Providers and related Cloud Computing implementation and migration strategies, we shall advance technology leaders’ understanding about the key Cloud Computing implementation- migration strategies and related technological-architecture issues hence enabling systematic Cloud adoption.


2022 Inspired by Interview with General David H. Petraeus, US Army (Ret.): #Quantum #Artificial #Intelligence (AI), #Trustable #AI and #Explainable #AI: The #Missing #Links: Why #Smart #Humans Are Critical For Using #Smart #AI

#Technologies Smartly: - Boot Strapping Your Dreams Show Featuring General

David H. Petraeus, US Army (Ret.) by Show Host Manuj Agarwal

Mar 2022

Quantum Artificial Intelligence (AI), Trustable AI and Explainable AI: The Missing Links: Why Smart Humans Are Critical For Using Smart AI Technologies Smartly: https://lnkd.in/e4yKkphk:

MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) Faculty-SME: AI-ML-DL-NLP- Robotics-RPA Guide: https://lnkd.in/eknKzm5 :

The latest Interview builds on our prior Keynotes and Presentations of Dr. Malhotra advancing upon his R&D ranked for impact among AI-Quant-FinTech Nobel laureates building Silicon Valley-Wall Street- Pentagon-Global Digital CEO-CxO Practices --- recommended by industry leaders such as Microsoft founder Bill Gates and Management & Leadership programs such as the Harvard MBA.

Our Digital ventures are compared with world-leading e-learning programs such as Harvard and Wharton and lead worldwide global Digital practices: https://lnkd.in/egrbGbk.

We founded the world's Top ranked global Digital Transformation Network including Top Digital Site- Search Engine-Social Network with millions of worldwide users and led the Silicon Valley venture capitalists and CEOs on How to Build and Lead Global Digital Enterprises for the 'Wild Wild Web'.

European Union: Global AI Conference: Why C4I-Cyber Controls Supremacy is Prerequisite for AI Supremacy: AI-Cybersecurity Master Class: Models-Algorithms-Data:

https://lnkd.in/erQxatbE: https://lnkd.in/eJChRAdR:

USA: Keynote: GAIM Ops West CxO AI-Cybersecurity Keynote: Hedge Fund & Private Equity Venture Capital CxOs: Evolution of Risk Management in a World of Uncertainty:

https://lnkd.in/eahsVSYU: https://lnkd.in/drkwCYmg:

Asia: Keynote: Global AI Conference: The Future is Now: "How Has AI Challenged Boundaries of Humanistic Thinking": https://lnkd.in/e37GirjM: https://lnkd.in/eUb6Z-ES:

European Union: AI FinTech Expert Panel Beyond Model Risk Management: Model Risk Arbitrage to Quantum Uncertainty Time Space Complexity: https://lnkd.in/eaMa7yEJ: https://lnkd.in/dQd7yjJP :


2022 ConnectAI Masterclass: AI-Cybersecurity Faculty-Subject Matter Expert: European Union: Existing & Emerging Sectors For Artificial Intelligence,

Cybersecurity, Defense & Law Enforcement - 2022 ConnectAI Masterclass:

European Union

Jan 2022

The post-COVID-19 global virtualization with increasing global cyber-attacks across the Information Technology (IT) and Operational Technology (OT) systems has raised the bar for AI, cybersecurity, defense and law enforcement policymakers and professionals.

Our US Air Force Research Lab CA ventures advance C4I-Cyber command & control practices, technologies, ventures, and networks to meet such post-COVID-19 risk management realities. We build upon our role as the world’s first, foremost, and largest digital transformation network that pioneered digital-virtual organizations practices, spanning Silicon Valley, Wall Street, the Pentagon, and other worldwide organizations.COVID-19 has highlighted the critical significance of resilience and sustainability of command and control (C2) capabilities of systems powering national defense &

space, critical infastructures, all enterprises, and intra- and inter-enterprise networks for organizational, national, and global survival in spite of the latest AI and quantum computing capabilities powering business-IT performance.Hence, design, development, deployment, and sustenance of critical infrastructures and systems need to advance beyond C2 to include focus on adversarial C2 and counter-adversarial C2 capabilities to survive and thrive given unprecedented global and national cyber-attacks. Our ConnectAI workshop will help AI, cyber security, defense and law enforcement policymakers, professionals, managers, and leaders advance beyond data, beyond models, and beyond algorithms to effectively preempt risks posed by the latest and greatest adversarial threats by

drawing upon our latest contributions to advancing US global and national defense & space capabilites. To counter C2 risks to critical infrastructures and systems, commercial, government, military, and other, we shall build upon our practices advancing upon the NIST risk management and risk engineering frameworks for AI, ML, quant, cyber, crypto, and quantum risk computing.


2023 Augmented AI-Knowledge Driven Intelligent Systems for Adversarial- Dynamic Uncertainty & Complexity: Designing Self Adaptive Complex Systems

for Quantum Uncertainty and Time Space Complexity - The International Journal

of Knowledge Engineering and Management

Jan 2023

ISO 31000 Standard on Risk Management recently re-defined Risk as the effect of uncertainty on an organization's ability to meet the objectives. The 'revised' ISO Risk advances beyond a static world guided by prediction to a dynamic world characterized by uncertainty and complexity focused on business outcomes over data inputs. As Self-Adaptive Systems pioneer, our ‘Anticipation of Surprise’ focus of KM R&D adopted by global organizations such as Goldman Sachs, NASA and Big Banks

is readily applicable to provide a 25-year head start to organizations in above ISO risk evolution. Over the last two decades, we have developed theoretical and applied frameworks for the dynamic world characterized by uncertainty and complexity, with business outcomes as drivers of real-time performance rather than data inputs. Our KM focus manages change, uncertainty and complexity as primary [outcome] targets in contrast to ‘data-driven’ [input] approaches. Its focus on dynamic

uncertainty is complemented by adversarial uncertainty from cyber-adversarial environments. Quantum uncertainty – encapsulating the two uncertainty types – and time-space complexity from increasingly

non- deterministic and statistically non-normal and non-linear environments are the focus of our KM R&D underpinning development of Quantum minds. Our latest AI-Cybersecurity KM practices are advancing the future of Pentagon’s C4I-Cyber-Command-Control-Advanced Battle Management Systems and AWS Network-centric Agile-Resilient Cloud computing.

Keywords: AI-Agility, Cyber-Resilience Engineering, Quantum Minds, Self-Adaptive Complex Systems, Quantum Uncertainty, Time Space Complexity

Malhotra, Y, Augmented AI-Knowledge Driven Intelligent Systems for Adversarial-Dynamic Uncertainty & Complexity: Designing Self Adaptive Complex Systems for Quantum Uncertainty and Time Space Complexity (February 8, 2023). The International Journal of Knowledge Engineering and Management (IJKEM), 2023.: https://ssrn.com/abstract=4351946


2023: New York State Cybersecurity Conference, 25th Anniversary Cybersecurity Conference, New York State Capitol, Albany, New York, June 6-7, 2023. AI-Machine Learning-Data Management Governance & Controls

Cloud Computing Best Practices - New York State Cybersecurity Conference, 25th

Anniversary Cybersecurity Conference, New York State Capitol, Albany, New York, June 6-7, 2023.

Jun 2023

Network- Centric Meaning-Driven Human-Centric AI-Cyber Computing Beyond Data-Driven to Event- Driven Architectures for Quantum Uncertainty, 1995-2023:

Building upon contextual focus of global discussions on GPT, ChatGPT, GenAI, GenAI, LLMs, we help you advance beyond global AI-hype - on both dystopian and utopian extremes - to focus on the latest AI Event-Driven Architectures developments such as in AIOps, MLOPs, DevSecOps, Infrastructure

As Code, Configuration As Code, Platform As Code, Pipeline As Code for building Cloud Computing AI-Agility and Cyber-Resilience Sustainability, the focus of our 2022 New York State Cybersecurity Conference presentation as AWS Partner. With increasing Digitization of Networks as Code, we help

world's global 'Hardware', 'Software' and other 'Computing' providers and practitioners advance beyond legacy models of computing to the latest Cloud-based Networked Computing Utility models. Our 30- year R&D focus on Network-Centric Computing from both Socio-technical and Systems Engineering perspectives spans the schisms presented by Claude Shannon's Information Theory in how AI-ML enabled Information Processing and Sense Making can occur across both Socio-Technical and Computing-Telecom Networks*.

Having already addressed the core issues being debated on mainstream Business, Finance, Technology and other media and resolved them based on 30-years of our AI-Cyber-Network Science- Engineering R&D leading worldwide Digital practices, we also help you advance ahead by 25-years on the global Risk Management standards given that the latest ISO 31000 Risk Management Standard is playing catch up having lagged 25-years behind our R&D leading global Risk Management practices. Based on most thorough R&D over 30-years and most in-depth analysis of current academic, scholarly, policy and practice resources, we provide definitive answers on many issues that have left too many confused with what our analysis shows as extreme dystopian and utopian views.