Finalist, INFORMS RAS Data Challenge
Our team was among six international finalists for railway wheel failure prediction.
I am a Postdoctoral Scholar at the Human-Centered AI Institute in the C.T. Bauer College of Business at the University of Houston. I received my PhD in Industrial Engineering, with a specialization in Operations Research, from the University of Houston in 2025, where I worked with Dr. Yisha Xiang.
My research focuses on developing reinforcement learning and statistical methods for sequential decision-making under uncertainty in engineering and operational systems. My work spans risk-sensitive learning, statistical inference, optimization, and AI-assisted decision support, with applications in manufacturing process control, resource allocation, personalized healthcare recommendations, and procurement auctions.
Our team was among six international finalists for railway wheel failure prediction.
Started as a Postdoctoral Scholar at the University of Houston.
University of Houston, with a specialization in Operations Research.
Online Statistical Inference of time-varying sample-averaged Q-learning
Online Statistical Inference of sample-averaged Q-learning
Online Statistical Inference for dynamically-changing batch Q-learning
Solving Dynamic Resource Matching in Manufacturing using Reinforcement Learning
Dynamic matching of demand-supply types with manufacturing resources