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Fei Fang

Dr. Fei Fang

Associate Professor, Software and Societal Systems

Address
5000 Forbes Avenue
Pittsburgh, PA 15213

Bio

Fei Fang is an Associate Professor at the Software and Societal Systems Department in the School of Computer Science at Carnegie Mellon University. Before joining CMU, she was a Postdoctoral Fellow at the Center for Research on Computation and Society (CRCS) at Harvard University, hosted by David Parkes and Barbara Grosz. She received her Ph.D. from the Department of Computer Science at the University of Southern California advised by Milind Tambe (now at Harvard). Her research lies in the field of artificial intelligence and multi-agent systems, focusing on integrating machine learning with game theory. Her work has been motivated by and applied to security, sustainability, and mobility domains, contributing to the theme of AI for Social Good. She is the recipient of the 2022 Sloan Research Fellowship and IJCAI-21 Computers and Thought Award. She was named to IEEE Intelligent Systems’ “AI’s 10 to Watch” list for 2020. Her work has won the Deployed Application Award at IAAI’23, Best Paper Honorable Mention at HCOMP’22, Best Paper Runner-Up at AAAI’21, Distinguished Paper at IJCAI-ECAI’18, Innovative Application Award at IAAI’16, the Outstanding Paper Award in Computational Sustainability Track at IJCAI’15. She received an NSF CAREER Award in 2021. Her dissertation is selected as the runner-up for IFAAMAS-16 Victor Lesser Distinguished Dissertation Award, and is selected to be the winner of the William F. Ballhaus, Jr. Prize for Excellence in Graduate Engineering Research as well as the Best Dissertation Award in Computer Science at the University of Southern California.

Education

2016, Ph.D. in Computer Science
University of Southern California
Advisor: Prof. Milind Tambe
Thesis: Towards Addressing Spatio-Temporal Aspects in Security Games

2011, B. Eng., Electronic Engineering
Tsinghua University

Research

My research interests lie in the area of artificial intelligence, focusing on the intersection of computational game theory and machine learning. My work has been motivated by and applied to security, sustainability, and mobility domains, contributing to the theme of AI for Social Good.