Experience

UT-Battelle

• Research Services
• 500 - 600 Employee

• Sr. Research Scientist

  • 2009 - Present

  Conduct R&D in dependability (reliability, safety, trustworthiness, etc.) of machine learning and artificial intelligence in a wide range of applications. Significant participation in standards development for machine learning and artificial intelligence, namely:• IEEE o IEEE Std 1012, Standard for System, Software and Hardware Verification and Validation (V&V) o IEEE P7009 – Standard for Fail-Safe Design of Autonomous and Semi-Autonomous Systems• ISO o Vice-Chair for the US INCITS Technical Advisory Group (TAG) to the ISO/IEC JTC 1/SC 42 on Artificial Intelligence o Working groups (WG): WG1 Foundations, WG3 Trustworthiness, WG5 Computational Approaches o Ad hoc group (AHG): Roadmap o Advisory group (AG): AI Systems Engineering o Liaison to ISO Trustworthiness• ASME o V&V 50 Committee on V&V of Data-Driven and Hybrid Models (2017-present) o Steering Committee for the Standards Development Working Group V&V 70 – V&V and Uncertainty Quantification of Machine Learning for Mechanistic and Process Modeling• Underwriters Laboratories (UL) o Standards Technical Panel for Standard for Safety for the Evaluation of Autonomous Products, UL 4600.Representative Projects: • Robustness of Reinforcement Learning and Deep Neural Networks• Dependability of medical information systems (e.g., hazard detection for health information technology)• V&V and Uncertainty Quantification of Machine Learning (PI)• Novel Bio-defense Capability using Public Health Data Informatics (PI)• V&V of Agent-Based Disease Spread Models (PI)• Digital Technology Qualification - Mitigation of Digital Common-Cause Failure Vulnerabilities for Nuclear Qualified Applications (co-PI)• Biosurveillance Data Analysis and Decision Support (LDRD) (co-PI)• ORCA (Oak Ridge Cyber-Analytics) – threat risk quantification and classification confidence• Dependability of multi-modal learning system for radiologist assistant system



Lockheed Martin

• United States
• Defense and Space Manufacturing
• 700 & Above Employee

• Principal Research Staff

  • 2007 - 2009

  Conduct research in dependability of complex systems, including• dependability of composite applications in service-oriented architectures, • certification of single and multi-UAV systems, • robust task allocation algorithms, and • dependability of multi-agent systems.Corporate Advanced Software Technology Focus Group and Software and Systems Initiative. Conduct research in dependability of complex systems, including• dependability of composite applications in service-oriented architectures, • certification of single and multi-UAV systems, • robust task allocation algorithms, and • dependability of multi-agent systems.Corporate Advanced Software Technology Focus Group and Software and Systems Initiative.



Institute for Scientific Research, Inc.

• VP R&D (2004-2006); Principal Scientist

  • 2002 - 2006

  [VP R&D responsibilities...]Principal Scientist:Responsible for securing funding, directing and performing research and advanced development in the dependable systems arena, including software fault tolerance, safety, data mining, system prognostics, software security and privacy, and reliability.• Representative projects as ISR Principal Investigator: NASA Independent Verification and Validation (IV&V) Omnibus contract; Law Enforcement Information Technology and Analysis Program project; Data Driven Prognostics Small Business Technology Transfer (STTR) contract.• Performed needs analysis, architecture design, and business case development for placing an additional Earth Orbiting Satellite (EOS) CLASS node at the NASA IV&V facility.• Performed research to develop an IV&V methodology for adaptive neural network systems (ANNS). The research includes standards compliance guidance, hazard and risk analysis, and failure modes and effects analysis (FMEA) for ANNS.