I am an Assistant Professor in the Electrical and Computer Engineering department and The Design Lab at the University of California, San Diego.

My research interests are in network economics, game theory, ethics and economics of AI, and reinforcement learning. Specifically, my group studies decision making and learning in networks (network games and multi-agent reinforcement learning), fairness in AI (data biases and long-term impacts with human-in-the-loop), and economics of cyber security (incentive design and data analytics). Our research is generously supported by the National Science Foundation (NSF), Amazon, and Cisco.

Recent News

December 2023. We have recieved a Jacobs School Early Career Faculty Development Award to support our research on Explainable Machine Learning!
December 2023. Our paper Robust Control Barrier Functions for Sampled-Data Systems has been accepted in the IEEE Control Systems Letters. Congratulations, Pradeep!
December 2023. Ishika presented her Design Challenge on "social networks" to students at Metro Middle School as part of the Translating Engineering Research to K-8 (TEK8) program.
November 2023. I am an invited participant at the U.S. National Academy of Sciences' 2nd U.S.-Africa Frontiers of Science, Engineering, and Medicine symposium.
November 2023. Preprint of our work on a new transfer algorithm for reinforcement learning available on arXiv.
July 2023. Our paper "United We Fall: On the Nash Equilibria of Multiplex Network Games" got accepted in Allerton. Congratulations, Raman!
July 2023. I have joined UC San Diego's ECE department and the Design Lab.

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