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