Fei Fang

Biography

Fei Fang's research interests lie in the area of artificial intelligence, focusing on the intersection of computational game theory and machine learning, with strong connections to robust and large-scale optimization. Her works aims to address real-world challenges in critical domains such as security and sustainability. She has developed models and algorithms to advance the state of the art to a new generation of security games (i.e., defender-attacker games), handling massive games with complex spatio-temporal settings. She has worked on protecting moving targets with mobile resources with an algorithm deployed by the U.S. Coast Guard to protect the Staten Island Ferry in New York City. Motivated by the challenge of preventing poaching and illegal fishing, she has proposed the Green Security Game model and developed algorithms to design patrol strategies in protected areas. Fang's work has led to the deployment of the PAWS (Protection Assistant for Wildlife Security) application for tiger conservation in Southeast Asia.

Areas of Expertise (1)

Artificial Intelligence

Education (2)

University of Southern California: Ph.D., Computer Science

Tsinghua University: B.S., Electronic Engineering

Media Appearances (1)

AI Is Helping to Stop Animal Poaching and Food Insecurity

IEEE Spectrum  online

2021-12-10

Fang, an assistant professor of computer science at Carnegie Mellon, is now working with 412 Food Rescue, a nonprofit in Pittsburgh, to improve its system for alerting volunteers when surplus food is available for pickup. “Food waste is a huge problem, and there are a lot of people suffering from food insecurity in Pittsburgh,” Fang says. The nonprofit “is such a cool organization, doing a really amazing thing, and I thought that maybe I could help.”

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