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, algorithmic economics, 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.
I have joined UC San Diego's
ECE department and the Design Lab!
Congratulations to our group members Pradeep Sharma Oruganti (PhD), Altan Turkoglu (MSc), Ian Thompson (BSc), and Jiaqi Xu (BSc) for the successful defense of their theses!
I gave a talk on "(Fair) ML with Human in the Loop: Strategic Behavior and Incentive Design" at the Midwest Workshop on Control and Game Theory
Our paper "The Impact of Network Design Interventions on the Security of Interdependent Systems" is accepted in the IEEE Transactions on Control of Network Systems
. Congratulations, Pradeep!.
I was voted "Outstanding ISE Faculty Member" by the ISE class of 2023!
I gave a talk on "Adaptive Data Debiasing through Bounded Exploration" at ITA 2023
We received a new grant from Cisco research
to study fair federated learning from biased datasets.
Our paper "Safe Control Using High-Order Measurement Robust Control Barrier Functions" got accepted in ACC 2023
. Congratulations, Pradeep!
Armela and Shahid, juniors at Metro High School
, are joining our group to work on their Capstone project on AI fairness during Spring 2023. Welcome!
I gave a talk on "Social Bias Meets Data Bias: Biased Training Data and Fair AI" at the Vanderbilt Machine Learning Seminar