果冻传媒

Topic 

Scalable, adaptive, equitable and interpretable decision-making for societal-scale systems

Abstract

Principled decision-making under uncertainty for societal-scale systems, such as emergency response, public transit, energy management, and healthcare, is critical for ensuring efficiency, sustainability, resilience, and equity. These application areas are inherently complex due to incomplete data, dynamic and non-stationary environments, and competing objectives from diverse stakeholders, requiring robust and scalable algorithmic approaches. In this talk, Dr. Mukhopadhyay will present his work on scalable and adaptive decision-making for complex societal-scale resource allocation problems, explain the fundamental mathematical models for resource allocation, present case studies based on successful deployments, and discuss theoretical and algorithmic insights. The talk will also provide some preliminary results on interpretable and equitable decision-making.

About the speaker

Ayan Mukhopadhyay is a senior research scientist at Vanderbilt University, and an incoming Assistant Professor of Computer Science at the College of William & Mary. His research focuses on developing scalable and adaptive algorithmic methods for decision-making under uncertainty for positive societal impact. Ayan鈥檚 work has won best paper awards at multiple top-tier venues, such as IJCAI, ICCPS, INFORMS, ICLR鈥檚 AI for Good Workshop, and the Google Research AI for Good program. His work has also been successfully deployed by multiple community partners in several countries.

Before his current role, he was a post-doctoral researcher at Stanford University, where he was awarded a post-doctoral fellowship by the Center of Automotive Research. He holds a doctorate in Computer Science from Vanderbilt University. His doctoral dissertation on scalable algorithmic approaches for semi-Markovian decision processes was nominated for the IFAAMAS Victor Lesser Distinguished Dissertation Award. 

Your host

Professor Mukhopadhyay is a guest of Hendrik Baier, assistent Professor in the Information Systems group of 果冻传媒.

Registration is required but free of charge.