World Leading Hi-Tech Research Defining World Leading Computational, Quant & Cyber Risk Analytics Practices
Global Risk Management Network, LLC, 757 Warren Rd, Cornell Business & Technology Park, Ithaca, NY 14852-4892
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Dr. Yogesh Malhotra
PhD,MSQF,MSCS,MSNCS,MSAcc,MBAEco,
BE,CEng,CISSP,CISA,CEH,CCP/CDP
Who's Who in America®,
Who's Who in the World®,
Who's Who in Finance & Industry®,
Who's Who in Science & Engineering®

E-mail: Dr.Yogesh.Malhotra[at]gmail.com

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E-mail - LinkedIn

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

*2015-2016: 39 Top-10 SSRN Research Rankings: Computational, Quantitative & Cyber Risk Analytics.
*2008: AACSB: Real Impact of Research among Nobel Laureates such as Black-Scholes & William Sharpe.
*2016 Princeton Quant Trading Conference Invited Research Presentation: Sponsor: Princeton University.
*2015 Princeton Quant Trading Conference Invited Research Presentation: Sponsor: Princeton University.
*2016 New York State Cyber Security Conference Research Presentation: Sponsor: New York State Governor.
*2015 New York State Cyber Security & Engineering Technology Association Conference: Sponsor: NYSETA.
2015-2016: 39 Top-10 SSRN Research Rankings in World-Leading Computational, Quant & Cyber Risk Analytics.
2015-2016: Computational, Quant & Cyber Risk Analytics Presentations sponsored by New York State and Princeton University.
Over 20-Years of Global High Impact Hi-Tech Practices Leadership spans Silicon Valley to Seoul and all continents in between.
Considerable Real Impact of Scholarly Research on Global Practices ranked among Finance & IT Nobel laureates in scientific studies.

AACSBAACSB logo

  
Wall Street Journal
  
Risk Management Tech Ventures leading Computational Quantitative Analytics, Machine Learning, Data Science, Quantitative Finance, & Cybersecurity Practices.
Worldwide Business and IT Editorial Coverage & Interviews in Wall Street Journal, New York Times, Fortune, Fast Company, Forbes, Business Week, CIO, CIO Insight, Computerworld, Information Week, etc.

[Computational Quant Risk Analytics] [Cyber Security Risk Engineering] [Algorithms & Machine Learning] [Risk Analytics Ventures] [Worldwide Impact on Practices]
Dr. Yogesh Malhotra: LinkedIn: Risk Analytics Beyond 'Prediction' to 'Anticipation of Risk': Princeton University Presentations on FinTech CyberFinance
Who's Who in America®, Who's Who in the World®, Who's Who in Finance & Industry®, Who's Who in Science & Engineering®
2015 & 2016 Princeton Quant Trading Conference Presentations: Computational Quant & Crypto Machine Learning Algorithms,
2008: AACSB International Impact of Research Report: Named among Black-Scholes, Harry Markowitz & Bill Sharpe

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


Cybersecurity Risk Analytics Practices Guiding US & G5 DoD Commanders & CIOs-CTOs

US Under Secretary of Defense United States Army United States Navy United States Air Force United States Marine Corps  AFRL

EXECUTIVE PROFILE
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• Executive Director & Chief Scientist, Computational Quant-Risk Analytics & Digital Transformation Ventures:
Clients: JPMorgan, Goldman Sachs, Google, Harvard, HP, IBM, Intel, Microsoft, NSF, MIT, UN, etc.

• 2015-2016: 2016 & 2015 Post-Doc Princeton Quant Trading Presentations: Computational Quant Analytics & Machine Learning, Algorithms, AI & Modeling
2016 New York State Cyber Security Conference Presentation: 'Future of Cyber-Finance'
2016 Fintech-Algorithms Research: Government of Switzerland: Transformation of Finance.

• 2015-2016: 39 SSRN Top-10 Research Rankings: Computational Quant Analytics & Machine Learning, Algorithms, AI & Modeling.
- SSRN Top-10 Ranking Categories (2015-2016):
Capital Markets, Computational Techniques, Corporate Governance, Cyberlaw, Decision-Making under Risk & Uncertainty, Econometric & Statistical Methods, Econometric Modeling, Econometrics, Hedging & Derivatives, Information Systems & Economics, Mathematical Methods & Programming, Microeconomics, Operations Research, Risk Management, Risk Management Controls, Risk Modeling, Stochastic Models, Systemic Risk, Uncertainty & Risk Modeling, and, VaR Value-at-Risk.

•Pioneering Cyber Risk Insurance Modeling Research beyond VaR leading worldwide Mathematical Finance & Actuarial Science Insurance Practices.

• Advisor to JP Morgan Global Head of Quant Research & Analytics-US Head of Portfolio Management & his team of Managing Directors & Portfolio Managers.

• Research Committee: Chief Scientist & Senior Scientists affiliated with Air Force Research Lab & New York State Cyber Research Institute, SUNY.

• Chief Information Security Officer (CISO)-Level Cyber Security & Risk Management Leader, IT & Networks Administration, State of New York.

• Chief Research Scientist, Quantitative Finance & Risk Modeling:
Wall Street Investment Banks with $1 Trillion AUM: Midtown Manhattan, New York City:

• Project Leader, JP Morgan Portfolio Liquidity Risk Modeling Framework,
• Project Leader, JP Morgan Portfolio Optimization & VaR Stress Testing,
• Project Leader, Wall Street Hedge Funds High Frequency Econometrics.
• Global CxO IT-KM & Risk Management Consulting Practices: USA, N. America, Europe, Asia:
• Intel Corp., British Telecom (UK), Philips (Netherlands), Big-4 Consulting Managing Partners,
• Government of Mexico: National Cabinet: Parliament Ministers, 13 CIOs & 600 IT Leaders - Mexico City,
• Government of Netherlands: National Cabinet: Parliament Ministers,
• National Vision Korea Campaign: 400 National Industry, Government & Policy Leaders - Seoul, South Korea.
• National TV Interview and Newspaper Interview: Maeil Business TV & Newspaper - Seoul, South Korea.
• Global Banking Financial Systems Engineer & Projects Leader: Big-3 IT & Big-3 Finance Firms:
• Bank of America merger, Las Vegas, NV
• Wells Fargo (formerly Davenport Bank & Trust), Davenport, IA
• Crédit Agricole CIB (formerly Banque Indo-Suez), Hong Kong
• Big-3 IT (Unisys, formerly Burroughs), Atlanta, Norcross, GA
• TATA Group, India (Mumbai, Delhi)
• 20+ year PhD & Post-PhD experience in Statistics, Probability, Econometrics, Quantitative Finance, Operations Research, Computer Science, Cyber Security, Cryptography, Encryption models & algorithms including Multivariate Regression Models, Structural Equation Models, VaR, ES, EVT, ARCH/GARCH, Machine Learning, Data Mining, Bayesian Inference, Markov Chain Monte Carlo Models, Bayesian Networks.

• 20+ year PhD & Post-PhD experience in data analysis tools, data sources, analysis queries and procedures applied using SPSS, SAS, MATLAB, AMOS, PLS, LISREL, C++, MS-Excel, VBA, Bloomberg, etc.

• Besides direct world-level (United Nations), country-level (Parliaments and Cabinets), and, corporate-level (Fortune 500 CEO, CIO, and CxO) management advisory leaderships, management experience in innovations leadership, projects leadership, and, teams leadership at world's largest Engineering, Banking & Finance, and, IT firms having successfully developed and led small and large teams in addition to virtual and matrix leadership roles includes:
• Developing and leading the world's largest virtual global community of Digital Transformation and Knowledge Management professionals ranked in the Top-10 social networks among others such as LinkedIn,
• Developing and leading a global virtual team of 200 worldwide PhDs to develop and disseminate industry leading Digital Transformation and Knowledge Management research, and,
• Leading, mentoring, guiding, and, assessing four-hundred project teams of two thousand participants in Executive, MBA, and undergraduate programs of top Business schools.
• More than 100 Computational Quantitative Statistical & Structural Model Validation Reviews in Editorial and Referee/Reviewer roles for top-tier academic, applied, and empirical research journals in Computer Science, Econometrics, Information Technology, and Operations Research.

•Received Best Reviewer Award from Academy of Management for Quantitative Statistical & Structural Model Validation Review of paper selected for Best Paper Award. Invited to serve in Editorial and Referee/Reviewer roles by 40+ world-class publications including ACM, IBM, IEEE, Cambridge University Press, Harvard Business Publishing, Journal of Defense Modeling & Simulation (Cybersecurity, STIX, TAXII, Markov Chain Monte Carlo Models, Bayesian Networks).

• 19-year Post-PhD Digital Transformation, Knowledge Management, Model Risk Management, Cyber Risk Management and, Computational Quant Risk Analytics Research: recognized as 'exemplar of 'considerable impact on actual practice' among others such as Black-Scholes in AACSB International Impact of Research Report, and, ranked among Finance and IT Nobel Laureates in most high-profile scientific and industry surveys and reports.

• Real world impact of scientific and applied research evident in
• Global Cyber Risk Insurance Actuarial and Analytical frameworks and models beyond Value-at-Risk (VaR),
• Quantitative Finance and Quantitative Trading innovations such as Model Risk Arbitrage and Black Hat Finance,
• US Federal Reserve & OCC Model Risk Management guidance SR11-7 & OCC 2011-12 execution,
• Global, National, and, State of New York Cybersecurity, Risk Management, and, National Information Infrastructures,
• Best-Selling Books on IT Innovation by worldwide corporate leaders such as Microsoft founder Bill Gates,
• Digital Transformation and Knowledge Management press interviews such as Fast Company interview of PwC CKO,
• IT, BPR, and Knowledge Management Curriculum innovations of programs such as Harvard Business School MBA program,
• National offense and defense policies of agencies such as U.S. Air Force, Army, and Navy CIOs and U.S. Department of Defense, and,
• Global impact on Digital Transformation and Knowledge Management practices of governments, corporations, associations, and institutions.
• Invited Executive Education Faculty and Research Keynotes & Lectures:
• Carnegie Mellon University,
• Kellogg School of Management,
• INSEAD (France),
• Queen's University (Canada).
• Quant Risk & Mathematical Modeling IT/OR MBA MIS Faculty:
Syracuse University Associate Professor MIS (Promoted) & Assistant Professor of Quantitative Methods.

• STEM Computer Science-Cyber Security-Advanced Analytics Professor, Machine Learning-Algorithms Evangelist,
State of New York Cybersecurity Program:
CompTiA Security+ Network Security Pen Testing & Ethical Hacking Instructor of Network Administrators.

• Worldwide Coverage of Finance-IT-Risk Ventures as Industry Benchmarks: Wall Street Journal, New York Times, Los Angeles Times, Fortune, Forbes, Inc., Business Week, Harvard Business Publishing, San Jose Mercury News, Computerworld, Information Week, CIO Magazine, CIO Insight, etc.

• Invited interviews by worldwide Business & Technology media including Wall Street Journal, Inc., Fortune, CIO Enterprise, CIO Insight, Information Week, Government Executive, Government Technology, Federal Computer Week, Business Standard (India), Maeil Business (South Korea), etc.

•Selected for inclusion in Marquis Who's Who® biographical profiles of worldwide leaders and achievers from U.S.A. and around the world in:

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

Post-Doctoral & Doctoral Education & Research

Independent Post-Doctoral Research: Invited Quant Presentations at Princeton University.
Quantitative Finance, Computer Science, Cybersecurity, Machine Learning, Algorithms, AI & Modeling
Quantitative Finance Post-Doctoral Research invited for presentations at Princeton University:
Post-Doctoral Research invited for presentations at Princeton University (2015 & 2016)
• Post-Doc Thesis (2015): Quant Finance, Computer Science, Cybersecurity, Machine Learning.
- Leading Mathematical Finance & Actuarial Science Cybersecurity Insurance Practices.
• 4 Computational Quant Analytics MS Degrees
- derived from courses amounting to twice the credits of prior double-doctorate Quant MIS PhD:
• Top-14 MS Quant Finance (MSQF: Applied Math),
• MS Computer Science/Algorithms/AI-Modeling (MSCS),
• MS Network & Computer Security/Machine Learning (MSNCS), &
• MS Accountancy (MSAcc).
R&D Leaderships with Global & National Impact
• Pioneering Cyber Risk Insurance Industry Research:
Cyber Risk Insurance Modeling beyond Value-at-Risk (VaR):
Risk, Uncertainty & Profit for the Cyber Era: Knight Reconsidered.

• 2015 & 2016 Princeton Quant Trading Conference invited Presentations.
- Sponsors: Princeton University, Goldman Sachs, Citadel, KCG Holdings, SIG.
• 39 SSRN Top-10 Rankings: Computational Quant Risk Analytics, Machine Learning, Computational Statistical Algorithms, AI & Modeling, Model Risk Arbitrage, Quant Finance, Computer Science, Cybersecurity, Bayesian Inference, Markov Chain Monte Carlo Models.
• Advisor to JP Morgan Global Head of Quant Research & Analytics-US Head of Portfolio Management & his team of Managing Directors & Portfolio Managers.
• Research Committee: Chief Scientist & Senior Scientists affiliated with Air Force Research Lab & New York State Cyber Research Institute, SUNY.
• Admission Offers from: Top-10 PhD Programs: Economics & Accountancy.

Top-10 Quant MIS PhD IT-Statistics Double Doctorate, Katz Graduate School of Business.
Top 10 MIS PhD (MISQ), Full Scholarship & Research Fellowship with MIS & IT Strategy Pioneer.
Double Doctorate IT-Statistics: Quant Risk & Controls Modeling; 91 Cr for 45 Cr Requirement.
GPA 3.9/4.0, 91 Cr, Quant Methods QPA 3.96/4.0, Beta Gamma Sigma Honors
• Double Doctorate: 91 Cr completed for a 45 Cr PhD Requirement.
• Invited for Research Fellowship by Top-10 Founder of MIS & IT Strategy Pioneer, William R. King.
• Thesis: Quantitative Risk Management & Controls Models, Longitudinal Multivariate Regression Models of:
• UPMC Digital Transformation and Analytics Digitization & Computerization:
PI & Advisor to UPMC CIO's Office and EMR/EHR Pioneer MDs and Top Physician Leadership.
R&D Leaderships with Global & National Impact

• PhD Thesis Quantitative Models adopted-applied by NASA & Big Banks.
• Pioneered US National Information Infrastructure research
- Adopted-applied by global organizations: e.g. UN, Stanford University.
• Netherlands National Digital Transformation Advisor: National Government-Cabinet.
Founder: Computerworld Top Digital Site, Top-3 Search Engine, Top-10 Social Network
- Entrepreneurial Developer/Programmer on F/T Top-10 PhD Research Fellowship.
• Top Digital Transformation Site (Best Web Site Award, Computerworld).
- Licensed official content to Harvard Business School MBA.
• Top-3 Search Engine (Carnegie Mellon Industry.Net National Awards: USA).
• Top-10 Social Network (Global Rankings among others such as LinkedIn).
• Received IPO & M&A offers from US Venture Capital & Multi-Billion $ IT firms.
• Harvard Business Review: Invited to lead Digital Transformation of HBR by Harvard Business Publishing of Harvard University.


• Department of Defense Directive 8570 (DoDD 8570) Information Security Management & Auditing Certifications:
CISSP (2005-Current): DoDD 8570 - CNDSP Manager, IAM Level III, IAT Level III, IASAE II
CISA (2007-Current): DoDD 8570 - CNDSP Auditor, IAT Level III
CEH (2014-Current): DoDD 8570 - CNDSP Auditor, Incident Responder, & Infrastructure Support

• National Science Foundation: 32 National Expert Panels of Cybersecurity & Cyber-computing specialists as judge & referee for allocating multi-million dollar SBIR/STTR innovation grants for US Cybersecurity & Cyber-computing computing technology innovation and commercialization.
• Cybersecurity and Risk Management Industrial & Applied Research: 39 SSRN Top-10 Research Rankings (2015-2016).

2016 New York State Cyber Security Conference, Empire State Plaza, Albany, NY:
Sponsors: State of New York Governor & New York State Office of Information Technology Services
CyberFinance: Why Cybersecurity Risk Analytics must evolve to Survive 90% of Emerging Cyber Financial Threats,
And, What You Can Do About It?

Special Interest Topics: Finance Sector - Best practices and effective ways to increase the security of financial and personal customer information. "Focusing the Cyber Security Lens", June 8 - 9, 2016, Empire State Plaza.

This presentation advances upon recent world leading Cybersecurity-CyberFinance Computational Risk Analytics Research selected for SSRN-ranked 39 Top-10 Research Rankings and invited for presentations at the 2016 and 2015 Princeton Quant Trading Conferences. Its focus is on advancing pragmatic insights about the emerging contours of Cyber Risk which is increasingly intertwined with Financial Risk. Using the metaphor of the iceberg with 90% of emerging cyber financial threats invisible to human eye, it sheds light on emerging Cyber risks that threaten the Financial survival of national and regional economies, global and local business enterprises, information infrastructure entities as well as individuals. Backed by research ranked for worldwide impact among Finance and IT Nobel laureates, this presentation will help you see Cyber risk and its implication for Finance at various levels like you have never seen before. It advances upon industry-leading research that recently developed robust foundation of global Cyber Risk Insurance standards with oversight of Cybersecurity experts affiliated with U.S. Air Force Research Lab and New York State Cyber Research Institute. The presentation builds upon global leadership of professional hi-tech practices in global Banking and Finance industry over the recent 25 years with most recent risk analytics leadership for top Wall Street investment banks such as JP Morgan, FinTech risk analytics ventures with CxO clients and patrons such as Goldman Sachs, and, prior global leaderships for Big Banks such as Bank of America and Big-3 IT firms leading global financial systems development for worldwide Banking & Finance firms.

Cyber Security | IT Administration | Networks Administration: Cybersecurity-Risk Management Leader
CISO-Level Cyber Security & Risk Management Leader, Government Administration, State of New York

Under the general direction of the Chief Information Officer (CIO) level executive, IT Administration, the Chief Information Security Officer (CISO) level role serves as a member of the IT Administration senior leadership team and provides domain expertise, direction, and, policy guidance on Cyber Security and IT Administration and Networks Administration. The CISO level role provides direction on information security and privacy across all of enterprise multi-site facilities and programs including all multi-site systems and services affecting 100,000 constituents of the New York State County. This position has broad authority and management responsibility for protecting the privacy, confidentiality, integrity, and availability of enterprise information and services. The CISO level role aligns services responsible for information security, privacy, and security operations to enable enterprise business objectives within acceptable levels of security and privacy risk.

Cybersecurity Technologies Deployment & Cybersecurity Industry Standards & Best Practices Development Leader

Benchmarking & Deploying Cybersecurity Risk Engineering for Leading Cyber Deterrence:

Cyber Security Technologies: Applications, Devices, End Points, Hosts, Networks, O/S, UTMs:
AirWatch, Check Point, Cisco, FireEye, Fortinet, Fortis, Intel, McAfee, Microsoft, Palo Alto, PDQ Deploy, ProofPoint, Qualys, Sophos, Symantec, VMWare, WatchGuard, etc.

Best Practices & Industry Standards:
CERT, Cisco, FBI, FIPS, Fire Eye, Gartner, GIAC, ISACA, Microsoft, NIST, NSA, OWASP, SANS, etc.

Penetration Testing-Ethical Hacking Frameworks & Tools
Metasploit, Nmap, Wireshark, Several Others.

Cybersecurity Leader leading, executing, implementing, and, guiding New York State wide and Enterprise wide IT Administration and Network Administration practices with focused domain expertise in Quant Finance, Cyber Security, Cryptography, Networking-Encryption Protocols, Penetration Testing-Ethical Hacking, Machine Learning Algorithms, Computational Quant Analytics, Risk Analytics.

CISO-Level Cybersecurity-Risk Management Leader reporting to CIO-Level role

CISO-Level Cybersecurity-Risk Management Leader: IT Administration & Networks Administration, Government Administration, State of New York Civil Services, reporting to CIO-Level role.

• Enterprise-wide IT, Telecom Networks, Cybersecurity & Risk Management, Controls & Compliance Policies, Best Practices, Strategies, Technologies, including Enterprise Level Implementations, IT Procurements and Contracts.

• Multi-Factor Authentication & Credentialing; User Access Controls & Group Management Policies for all Users including Authentication, Credentials, Password Policies, BYOD MFA & 2FA Policies, Anti-Malware Botnet and Anti-Ransomware Policies, etc.

• Multi-site Systems Administration including Group Management Policies & Configurations, Cybersecurity Risk Management Controls & Compliance Policies, UAC, and Defense-in-Depth against Advanced Threats & Attacks.

• Multi-site Enterprise-wide Telecom Networks, Hosts, Devices, Applications, OSs, and, IPs Vulnerability and WWW Applications Vulnerability Detection & Remediation leading Risk Mitigation, Network Security, Risk Management, & Compliance Policies, Strategies, &, Implementation, and, WWW Security Standards and Secure Coding Practices.

• Multi-site Enterprise-wide Penetration Testing & Ethical Hacking enabling Pre-emptive and Anticipatory Risk Management and Controls for Cybersecurity Risk mitigation for Networks, Applications, Hosts, Devices, Firmware, Embedded Systems, SCADA, and, Third-Party Services and Infrastructure Providers.

• Multi-site Enterprise-wide development of Zero-Trust UTMs, NGFWs, IPS/IDS, VLANs/VTP/STP, and UAC-ACL Policies and Architectures using Network Segmentation based upon industry-leading Cyber Security, Risk Management, and Compliance Policies.

• Multi-site Enterprise-wide Networks, Operating Systems, Hosts, Applications, and Mobile Device Management Security Controls Risk Management Audit & Threat Analysis including Identification, Elimination, Containment & Mitigation of Critical Risks.

Defense-in-Depth Enterprise Networks and Computer Security & Privacy Leader

Enterprise Networks-Perimeter & Networks Segmentation
Enterprise Networks-Perimeter and multi-layered Network Segmentation hardening against cyber-attacks tracked by newly upgraded Unified Threat Management infrastructure using SQL Server Big Data Analytics, High Frequency Time Series Data Analytics, and, Networks Logs Analysis.

Enterprise Hosts & Server End Point Protection Security
Endpoint (EP) upgrades for Hardening against Cyber Attacks coupled with Attacks and Malware reports analyses. Continuing bench-marking, Procuring and Implementation focus on more robust EP solutions to integrate, simplify, and, economize current EP & MDM infrastructures.

Enterprise User Access Controls, Credentials, Passwords:
Passwords, credentials, user access controls (UAC), and, privilege reviews and upgrades at the Policy, Networks-UTM, Operating Systems, Applications, Host, and Device levels and Policies and Processes for tiered UAC and credentials for various internal and external user groups.

Enterprise Security Content Automation Protocol Implementation:
MS-Windows O/S and Applications hardening based on security, risk, and compliance group policies development and Active Directory-Group Policy implementations ongoing with Security Content Automation Protocol (SCAP) – Security Compliance Manager.

Enterprise Microsoft Network Operating Systems & Applications Security:
MS-Windows Active Directory-Group Policy Network Operating Systems security configurations for hardening Windows Network O/S and Microsoft Windows based MS-Office software applications for mitigation of cybersecurity threats & attacks.

Enterprise Mobile Device Management & Multi-Factor Authentication

Coordinating enterprise wide administration Mobile Device Management for mobile devices toward simplified administration and MFA/2FA while also reviewing latest technologies for integration of MDM with EP.

Zero-Trust Cybersecurity Architectures & Networks Segmentation Leader

Zero-Trust Network Segmentation: Benchmarked-selected top-ranked UTM to replace prior NGFW. Reviewed-audited configuration of 125 UTM Policies and RADIUS-based VPN policies to apply robust networking and encryption protocols for mitigating threats from SMB, NetBios, SNMP, NTLM, and, PPTP.

Security Content Automation Protocol (SCAP): Configured more than 1,000 Group Policies using Security Compliance Manager. Configured, installed, and, implemented active directory (AD) and group policy management (GPM) policies.

Validation & Audit of IP Networks Subnets & VLANs: Identified-eliminated threats and vulnerabilities in Information Gathering, TCP/IP, General Remote Services, Firewall, and Web Server hardening network, servers, hosts, applications, and devices, and, access controls and authentication protocols such as SSL/TLS, IPSec, STP, and VTP.

OWASP Secure Coding Practices: Adoption by Systems, Analysis, and Design teams blocking cyber-attacks such as SQL injection attacks, and, buffer overflow attacks advancing secure PKI authentication and TLS 1.2, IPSec, AES256, and RSA2048.

Audit of Virtual Private Networks using RADIUS: To bolster credentials authentication by advancing mobile VPN Authentication from PPTP to L2TP and IPSec eliminating reliance upon CHAP thus advancing toward enterprise wide non-reversible encryption.

AD-GPM Default Domain Controllers Policy for Network Security Reconfiguration & Implementation: Advancing toward secure Kerberos authorization and authentication architecture for enterprise wide users.

AD-GPM Default Domain Policy Reconfiguration & Implementation: For securing user credentials advancing upon development of secure host-based user access credentials architecture for enterprise wide users.

AD-GPM Password Security Objects (PSOs) Development & Configuration: To advance development of fine-grained password policies for different privilege levels of enterprise wide internal and external users.

STEM Computer Science-CyberSecurity-Advanced Analytics Professor, Machine Learning-Algos Evangelist

• STEM Computer Science, Cybersecurity, Advanced MS-Excel Analytics Faculty for the State of New York. Developed-taught Cybersecurity Major & CompTIA Security+ for Network Administrators: concluded with its accreditation by the State of New York.

• Applied Research, Teaching, Practice focus on applications of Object-Oriented Programming (OOP) - JavaScript, JQuery Interactive Front-End Web Development; Black Hat Python Pen Testing-Ethical Hacking; Advanced MS-Excel, SQL, Computer Science, Mathematics, and, Statistics & Probability.

• 2015 and 2016 Invited Princeton Quant Trading Conference Presentations at Princeton University sponsored by Princeton University, Goldman Sachs, Citadel, SIG, and KCG Holdings.
- Pioneering Research: Cyber Finance-Insurance: Bayesian Machine Learning Algorithms.
- Ranked in 39 SSRN Top-10 Research Rankings for 2015-2016.

• STEM Faculty Evangelist for teaching Bayesian Inference, Machine Learning, Algorithms, Data Science, Python, R.

• Faculty presentation inspiring STEM Division that counts among alumni first female commander of Space Shuttle USAF Colonel Eileen Collins to lead the Cyber Revolution by focus on Bayesian Inference, Machine Learning, Algorithms, Data Science, Python, R.

• Quant FinTech-Computer Science-Cybersecurity-Algorithms-Machine Learning R&D spanning New York State, national & global industry-university research collaborations advancing post-doc industrial research in Quant FinTech [Applied Mathematics, Statistics, & Econometrics].
- e.g. 2016 European Cooperation in Science & Technology: Switzerland Federal Department of Economic Affairs: Math-Fintech Industrial Research.

• Academy of Management Best Reviewer Award winning Reviewer and Referee for Applied & Industrial Research in Cybersecurity:
- e.g. Journal of Defense Modeling and Simulation (JDMS) (Sage): STIX, TAXII, MCMC, Bayesian Networks, Markov Chain Monte Carlo Models.
- Society for Modeling and Simulation International.

CompTIA Security+ Network Security Instructor for Telecom Network Administrators, State of New York

CompTIA Security+ Network Security Instructor for Telecom Network Administrators, State of New York
• Introduction to Security
• Malware and Social Engineering Attacks
• Application and Networking-Based Attacks
• Host, Application, and Data Security
• Basic Cryptography
• Advanced Cryptography
• Network Security
• Administering a Secure Network
• Wireless Network Security
• Mobile Device Security
• Access Control Fundamentals
• Authentication and Account Management
• Business Continuity
• Risk Mitigation
• Vulnerability Assessment & Review

Hands-On Applied Offensive Cybersecurity Projects Handbooks
• Penetration Testing: A Hands-On Introduction To Hacking
• The Hacker Playbook 2: Practical Guide To Penetration Testing
• Wireshark 101: Essential Skills For Network Analysis
• Metasploit (No Starch Press)
• Nmap Network Scanning: The Official Nmap Project Guide to Network Discovery and Security Scanning
• Violent Python: A Cookbook for Hackers, Forensic Analysts, Penetration Testers and Security Engineers
• Black Hat Python: Python Programming for Hackers and Pentesters

Recent Related Activities and Impact on Global and National Cyber Security and Cyber Finance Practices

• Recent Networks & Computer Security focused Cybersecurity & Risk Management applied R&D project leadership developed as Computational Quantitative subject matter expert to distinguished computer scientists, mathematicians, and, physicists including the US Air Force Research Lab (AFRL) senior scientists such as Executive Director of the New York State’s Cyber Research Institute and former Chief Scientist, Information Directorate, AFRL.

Cybersecurity and Risk Management Innovations and Standards Development, New York State & Princeton University:

2016 New York State Cyber Security Conference, Albany, New York, June 8-9, 2016 
New York State Office of Information Technology Services
Presentation: CyberFinance: Why Cybersecurity Risk Analytics must evolve to Survive 90% of Emerging Cyber Financial Threats, and, What You Can Do About It?
Special Interest Topics: Related to: Finance Sector - Best practices and effective ways to increase the security of financial and personal customer information.

2015 NY Cyber Security & Engineering Technology Association (NYSETA) Conference, RIT, Rochester, NY, Oct 22, 2015
Cybersecurity Networks, Systems & Controls Standards Development
Advancement of Professional Cybersecurity Standards and Practices:
• Full Research Paper Accepted for the NYSETA Conference:
Bridging Networks, Systems, and, Controls Frameworks for Cybersecurity Curricula & Standards Development
Track: Innovative Design and Development Practices
• Rochester Institute of Technology Research Presentation.
- Risk Management and Controls Policy Framework
- Enterprise Risk Management & Governance: Enterprise Risk Management
- Systems & Networks Infrastructure Frameworks
- Systems & Networks Risk Management, Controls, Regulatory Compliance: Model Risk Management
- Networks Protocols and Network Analysis Tools Frameworks
- Cyber-Finance Risk Management, Data at Rest, Data in Motion, Encryption: Cyber Finance Risk Management
- Penetration Testing Execution Standard Applied: Case of VoIP Networks
- Kali Linux, Metasploit, NMap, Wireshark - Ethical Hacking & Penetration Testing
- OWASP, ISACA, SANS, and PCI/DSS Pen Testing & Information Assurance Frameworks

2016 Princeton Quant Trading Conference: Model Risk Arbitrage: Black Hat Hacker Mindset, Apr 16, 2015
- Sponsors: Princeton University, Bendheim Center & ORFE, SIG, Citadel, Goldman Sachs
• Pioneered Cyber-Quant Finance financial innovations including Open Systems Finance, Model Risk Arbitrage, Black Hat Finance, and, Non-Deterministic Methods & Models.
• Black Hat Mindset developed as a Certified Ethical Hacker (CEH, 2014) trained in Black Hat frameworks, methods, models, and techniques advancing upon White Hat frameworks learned as Certified Information Systems Security Professional (CISSP, 2005) applied to development of a new Financial Innovation called Model Risk Arbitrage.
• Essentially, by inter-disciplinary applied understanding of practices across the digital domains of Cybersecurity and Finance, further advanced leading-edge computational quantitative analytics practices to advance both fields of practice.

2015 Princeton Quant Trading Conference: Future of Finance: Cyber Finance, Apr 4, 2015
- Sponsors: Princeton University Bendheim Center & ORFE, Citadel, KCG Holdings.
• Pioneered Computational Quantitative Analytics industrial research in Cyber Finance & Cyber Risk Insurance Modeling in collaboration with the committee of distinguished research scientists from AFRL/NYS-CRI.
• Cyber Finance: Future of Finance Beyond 'Flash Boys': Tail Risks & Systemic Risks:
• Risk Modeling for Managing Uncertainty in an Increasingly Non-Deterministic Cyber World.
• Advanced Risk Modeling Statistical Techniques: Econometrics & Time Series Models, Bayesian Inference, Markov Chain Monte Carlo, Capital Markets, Derivatives, Portfolio Construction & Optimization Models, Volatility Models, VaR, ARCH, GARCH, Multifactor Pricing Models, Market Risk, Credit Risk, Liquidity Risk, Cyber Risk Insurance.

• Invited Risk Management Keynotes: State Street Bank world HQ, MA, and, National CROs/CSOs Summit, VA.
• Invited Risk Management Advice: MDs-Teams of Risk Management firms and Wall Street firms.


Post-Doc Network & Computer Security Research Pioneering Cybersecurity Risk Insurance Modeling leading global industry standards and frameworks for the Cybersecurity and Risk Management industry. Advisors: Executive Director, New York State Cyber Research Institute, Prior Chief Scientist, Air Force Research Lab / Information Directorate; Program Manager & Principal Computer Engineer, Information Directorate, Air Force Research Laboratory / Information Directorate.

2013-2015 Cyber Risk Insurance Industry Quant Risk Analytics Standards Development
• Averted the impending national Cyber risk and Cyber-insurance disaster based upon large-scale commercial reliance upon quantitative models with inherent model risks, tail risks, and systemic risks.
• Developed the first known Cyber-Finance-Trust™ framework for Cyber insurance modeling to analyze how finance risk entangled with Cyber risk further exacerbates the systemic, interdependent, and correlated character of Cyber risks.
• Developed the first known model risk management framework for Cyber insurance modeling as model risk management has received sparse attention in Cyber risk assessment and Cyber insurance modeling.
• Review of quantitative models in Cyber risk and Cyber insurance modeling developed the first known analysis establishing significant and extreme model risks, tail risks, and, systemic risks related to predominant models in use.
• Developed an empirical study of VaR and Bayesian statistical inference methodologies with specific guidance for containing model risks by applying multiple simple and advanced models for cross-checking the reliability of VaR.
• Developed an analysis of the Markov Chain Monte Carlo Models, Gibbs Sampling and Metropolis-Hastings statistical computing algorithms for enabling Bayesian statistical inference methodologies to minimize model risk in Cyber risk and Cyber insurance risk modeling for the specific context of cybersecurity.
• Developed the first known portfolio theory based framework for Cyber insurance modeling with guidance to minimize model risks, tail risks, and systemic risks inherent in models in commercial Cyber insurance modeling.
• Given increasing role of uncertainty in cyber (and financial) risk modeling and management, developed framework for enabling Knightian uncertainty management relating it to model risk management.

2013-2016 CompTIA Security+ Network Security & Pen Testing-Ethical Hacking Programs Development
• Developed and Delivered Applied Experiential Learning Penetration Testing and Ethical Hacking Program and CompTIA Security+ Network Security Certification Program for Telecom & Networking Professionals via SUNY system.
• Developed and delivered experiential learning in Penetration and Ethical Hacking Frameworks, Tools, Techniques, and, Methods including Metasploit, NMap, and Wireshark, and, Black Hat Penetration Testing via SUNY system.
• EC-Council Certified Ethical Hacker (CEH) and ISC2 Certified Information Systems Security Professional (CISSP) having logged over 2,000-hour professional experience in Penetration Testing & Ethical Hacking in Authorized Darknets as top-ranked ethical hacker in SUNY institutional competitions.

• Top-10 PhD IT Information Systems (Pittsburgh), MS Network & Computer Security (SUNY), MS Computer Science (SUNY), IT Information Systems Professor (Syracuse), Computer Science-Cybersecurity-CompTIA Security+ Professor (SUNY system); MS Quant Finance (Fordham), MS Accountancy (SUNY), MBA (UNLV), BE (Delhi) Chartered Engineer.
• EC-Council Certification: Penetration Testing & Countermeasures. SUNY System: Ethical Hacking & Pen Testing Instructor.

• 20+ years global R&D leadership advancing Cybersecurity, Risk Management, and Computational Risk Analytics Best Practices for developing, testing, and implementing Complex Systems: globally adopted and recommended by top CEOs such as Microsoft founder Bill Gates; and US DoD, CIOs of NASA, US Air Force, Army, Navy and Marine Corps.
• Portfolio of Global Research & Practice Leadership includes Wall Street investment banks such as JP Morgan and Goldman Sachs; Hi-Tech Firms such as Google, IBM, Intel and Microsoft; Brand Intelligence firms such as Ogilvy.
• Executive advisor on IT strategies to global firms such as Intel Corp., British Telecom (UK) and Philips (Netherlands).

• Recent Risk Management project leaderships for Wall Street investment banks with $1 Trillion AUM such as JP Morgan while reporting to JP Morgan Global Head of Quantitative Research and Analytics (Midtown Manhattan, New York).
• Prior Project Leader on Big-3 IT and Global Financial Systems, USA & Hong Kong, Bank of America, Crédit Agricole CIB.

• Associate Professor/Assistant Professor of Quantitative Methods, IT & Operations Research, Syracuse University, Developed Quantitative Models of Risk Management and Compliance applied by NASA and Big Banks; Research ranked and recognized for real world impact among others such as Nobel laureates; IT Research Editorial Review Panels for 40+ journals & publishers including ACM and IEEE. Academy of Management: Best Reviewer Award for IT/IS Research.
• Interviews & Editorial Coverage: CIO, Computerworld, Information Week, Wall Street Journal, New York Times, etc.
• Global and national CxO Keynotes, Expert Panels: Silicon Valley, Conference Board, US & World Governments, UN.

• Algorithms & Computational Finance: C++, SAS, Java, Machine Learning, Signal Processing
• Cybersecurity, Financial Protocols & Networks Protocols Analysis, and, Penetration Testing


PROJECTS PORTFOLIO
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Recent Research Presentations and Research Reports
*Princeton University Presentations on the Future of Finance: 'Rethinking Finance' for Era of Global Networked Digital Finance.
*2016 Princeton Quant Trading Conference Invited Research Presentation: Beyond Stochastic Models to Non-Deterministic Methods.
*2015 Princeton Quant Trading Conference Invited Research Presentation: Beyond Risk Modeling to Knightian Uncertainty Management.
*Beyond 'Bayesian vs. VaR' Dilemma to Empirical Model Risk Management: How to Manage Risk (After Risk Management Has Failed).
*Markov Chain Monte Carlo Models, Gibbs Sampling, & Metropolis Algorithm for High-Dimensionality Complex Stochastic Problems.
*Risk, Uncertainty, and Profit for the Cyber Era: 'Knight Reconsidered': Model Risk Management of Cyber Risk Insurance Models.
*Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: ERM to Model Risk Management.
*Number Field Sieve Cryptanalysis Algorithms for Most Efficient Prime Factorization on Composites: Beyond Shannon's Maxim.
* Bitcoin Protocol & Bitcoin Block Chain: Model of 'Cryptographic Proof' Based Global Crypto-Currency & Electronic Payments System.
*2015-2016 35 SSRN Top-10 Research Rankings for Computational Quantitative & Risk Analytics Algorithms Machine Learning Research.
* 2008 AACSB International Impact of Research Report: Named among Black-Scholes, Markowitz, Sharpe, Modigliani & Miller

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

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

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