TDAI is pleased to present Dr. Fei Fang (Carnegie Mellon University) on Thursday, Jan. 11, at 3:00 p.m. in 301 Pomerene Hall. Dr. Fang will give a talk entitled "Game Theory and Machine Learning for Addressing Societal Challenges: From Theory to Real World Impact." The talk will be followed by a networking reception.
Register for in-person Dr. Fang's talk will be in-person only
Abstract: Societal challenges spanning security, environmental sustainability, food security, and transportation often involve complex decision-making by multiple agents. In our research, we delve into the development of game theory and machine learning-based methods and tools to tackle these challenges, with a strong focus on contributing to social good. In this talk, I will introduce our work that has led to successful applications in environmental conservation and food rescue. Moreover, I will cover our foundational research in interpretable multi-agent reinforcement learning and bandit data-driven optimization. These advancements are motivated by the real-world problems we have been working on and enable us to tackle more complex decision-making scenarios in the future.
About the speaker: Dr. Fei Fang is an Associate Professor in Software and Societal Systems in the School of Computer Science at Carnegie Mellon University. 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. More about Dr. Fang.
