From Theory to Practice: AI for Societal Challenges

Fei Fang, Carnegie Mellon University

Fei Fang explains how machine learning can have a positive social impact.

Fei Fang, Assistant Professor, Carnegie Mellon University

Fei Fang is an assistant professor at the Institute for Software Research at Carnegie Mellon University. Her research lies in the field of artificial intelligence and multi-agent systems, focusing on game theory and machine learning, with applications to security, sustainability, and mobility. Her work won the Innovative Application Award at the Conference on Innovative Applications of Artificial Intelligence in 2016 and the Outstanding Paper Award in Computational Sustainability Track at the International Joint Conferences on Artificial Intelligence in 2015, and her dissertation was selected as the runner-up for IFAAMAS-16 Victor Lesser Distinguished Dissertation Award. The US Coast Guard has used her research to guide patrol ships protecting the Staten Island Ferry since April 2013. Another project she was involved in, PAWS (Protection Assistant for Wildlife Security), provides predictive and prescriptive analysis for anti-poaching efforts in conservation areas around the world.