Xiaoning Qian

About

Professor Xiaoning Qian is a faculty member at Texas A&M University in the United States. His research focuses on advanced materials, particularly in the area of shape memory alloys, and includes innovative modeling techniques in predictive analytics and machine learning. Recent publications highlight his work on the transformation strain of NiTi shape memory alloys and Bayesian optimization methods to enhance material properties. Additionally, he explores data-driven methodologies for improving fairness in collaborative learning and understanding user choice behavior under data corruption.