Don Siegel

Don Siegel

by | Nov 19, 2023

Don Siegel is a Professor in the Department of Mechanical Engineering and the Department of Material Science and Engineering. His research targets the discovery, characterization, and understanding of novel materials for energy-related applications. These efforts...
Chengyang Huang

Chengyang Huang

by | Oct 2, 2023

My research focuses on Scientific Machine Learning and Uncertainty Quantification for complex systems in science, engineering, and biology. Primary focuses include Inverse Reinforcement Learning, Bayesian Inference and their applications cancer cell behavior study in...
Anvay Pradhan

Anvay Pradhan

by | Sep 27, 2023

Weaving enables us to create complex geometries with unique properties. Basketweaving, for example, can achieve stiff three-dimensional shapes by combining flexible fibers. I am developing computational models that can simulate woven geometries to understand how...
Haochen Wu

Haochen Wu

by | Sep 26, 2023

Task Allocation for Human-AI Teaming by Deep Reinforcement Learning