DOE / Nuclear, Bayesian Optimization for Automatic Reactor Design Optimization
Overall Information
PI (10/2023–09/2027): Bayesian optimization for automatic reactor design optimization. Total \$1M (my effort 40%). Team: Andi Wang.
Hao Yan
Associate Professor in School of Computing and Augmented Intelligence
My research develops machine learning methods for high-dimensional, spatio-temporal, and sequential data, including reinforcement learning, generative models, anomaly detection, and causal and tensor-based learning.