News and Announcements

• [Upcoming] July 2024 - Tutorial on Deep Learning and Mechanism Design at GAME-ARTs, IISc Bengaluru 

• May 2024 - Paper at AAMAS 2024, Auckland, NZ

• Jan 2024 - Presented the "Tutorial on Fair and Private Deep Learning " at CODs-COMAD 2024, IIIT Bangalore

• Mar 2024 - Joined IIT Gandhinagar as an Assistant Professor

• Sep 2023 - Paper at SAGT 2023

• Mar 2023 - Joined CSA, IISc as a Post Doctoral Researcher

• Feb 2023 - Paper at AAAI-2024, Washington DC, USA

Our group looks at diverse topics at the intersection of machine learning and fairness. These include exploring different fairness measures, developing fair and private classifiers, and investigating fairness in federated settings. We also look at the problem of Fair Resource Allocation under the presence of Externalities

Mechanism Design and Deep Learning - we look at designing mechanisms to build systems that are resistant to manipulations from strategic agents. The mechanisms are designed to ensure certain efficiency and fairness criteria in different context, like auctions, crowdfunding and resource allocation