Research
Papers, policy work, and research topics — formal and informal.
Papers & Publications
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Discovery Fundamental Units: Towards A Nested Framework of Templates for Convergent Innovation
A framework of reusable innovation templates designed to accelerate convergent discovery across disciplinary boundaries within large research organizations.
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Human-AI Collaboration Among Engineering and Design Professionals: Three Strategies of Generative AI Use
Empirical study of how engineers and designers actually integrate generative AI into their workflows — three emergent collaboration strategies observed across NASA and university research teams.
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Aviation 2072: Scenario Planning for Wicked Problems
Scenario planning methodology applied to aviation's hardest long-horizon problems, developed with NASA Ames researchers and global innovation partners.
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Cas Mapping — Helping Aviation Find Problems Worth Solving
A methodology for surfacing and prioritizing high-value problem spaces in aviation using structured causal mapping techniques.
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Improving Crime Data Sharing and Analysis Tools for a Web-Based Crime Analysis Toolkit: WebCAT 2.2
Architecture and design of WebCAT 2.2, a web-based crime analysis toolkit enabling cross-jurisdictional data sharing and visualization for law enforcement.
Patents
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Method for Leveraging a Secure Telecommunication Session
With B.I. Gandhi, N. Kaushik, R.A. Levine, T.D. Limaye
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Network-Based Key Distribution System, Method, and Apparatus
With B.I. Gandhi, N. Kaushik, R.A. Levine, T.D. Limaye
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Entropy-Based Authentication of Mobile Financial Transaction
With B.I. Gandhi, N. Kaushik, R.A. Levine, T.D. Limaye
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Method for Leveraging a Secure Telecommunication Session
With B.I. Gandhi, N. Kaushik, R.A. Levine, T.D. Limaye
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Method for Leveraging a Secure Telecommunication Session
With B.I. Gandhi, N. Kaushik, R.A. Levine, T.D. Limaye
Policy & Guidance
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NASA Responsible AI Policy
Co-authored NASA's agency-wide Responsible AI Policy, establishing governance frameworks, accountability structures, and risk management practices for AI deployment across NASA programs.
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MADI: Multi-modal AI for Design and Innovation
Led development and deployment of MADI, NASA's internal generative AI platform for aeronautics research — enabling cross-team knowledge synthesis, scenario generation, and research acceleration across disciplinary silos.
Research Areas
- Generative AI in engineering design workflows
- Scenario planning for long-horizon technological uncertainty
- Human-AI collaboration patterns and productivity
- Responsible AI policy and governance frameworks
- AI knowledge management in large research organizations