Xie earns NSF grant to improve decision-making in complex systems

Qiaomin Xie, an assistant professor of industrial and systems engineering at the University of Wisconsin-Madison, will lead a National Science Foundation-funded research project to bolster the algorithms and theory behind decision-making in complex systems.

Through a three-year, $275,000 grant, Xie will work on a class of mathematical models called weakly coupled Markov decision processes. These models are useful for complex systems such as job scheduling, resource allocation, electric vehicle charging and supply chain management.

Xie previously received an NSF CAREER Award to support her work on reinforcement learning, a machine learning technique.