Expertise

Topics:  Multi-Agent Systems, Optimization, Artificial Intelligence, Game Theory, Computer Science

Industries: Research, Education/Learning, Computer Software

Fei Fang is an Assistant Professor at the Software and Societal Systems Department 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, advised by Prof. David Parkes and Prof. Barbara Grosz. She received her Ph.D. from the Department of Computer Science at the University of Southern California in June 2016, advised by Prof. Milind Tambe. She received her bachelor degree from the Department of Electronic Engineering, Tsinghua University in July 2011.

Her research lies in the field of artificial intelligence and multi-agent systems, focusing on computational game theory with applications to security and sustainability domains. Her dissertation is selected as the runner-up for IFAAMAS-16 Victor Lesser Distinguished Dissertation Award. Her work has won the Innovative Application Award at Innovative Applications of Artificial Intelligence (IAAI’16), the Outstanding Paper Award in Computational Sustainability Track at the International Joint Conferences on Artificial Intelligence (IJCAI’15). Her work on “Protecting Moving Targets with Mobile Resources” has been deployed by the US Coast Guard for protecting the Staten Island Ferry in New York City since April 2013. Her work on designing patrol strategies to combat illegal poaching has lead to the deployment of PAWS application in a conservation area in Southeast Asia for protecting tigers.

Media Experience

Trash talk hurts, even when it comes from a robot  — EurekAlert!
"This is one of the first studies of human-robot interaction in an environment where they are not cooperating," said co-author Fei Fang, an assistant professor in the Institute for Software Research. It has enormous implications for a world where the number of robots and internet of things (IoT) devices with artificial intelligence capabilities is expected to grow exponentially. "We can expect home assistants to be cooperative," she said, "but in situations such as online shopping, they may not have the same goals as we do."

How AI could help solve some of society’s toughest problems  — MIT Technology Review
Fei Fang has saved lives. But she isn’t a lifeguard, medical doctor, or superhero. She’s an assistant professor at Carnegie Mellon University, specializing in artificial intelligence for societal challenges.