主要研究领域为智能维护、故障诊断与寿命预测、人工智能与数据科学的应用、信号处理、异常检测、流形学习及稀疏编码等。已主持国家科技支撑计划、国家自然科学基金、国家重点实验室项目、企业项目等各类科研课题多项。博士毕业于上海交通大学机械电子工程专业。曾任美国国家基金委产学研合作-智能维护系统中心研究员、美国辛辛那提大学博士后。

Yixiang Huang is an Assistant Professor of Institute of Mechatronics & Logistics Equipment at Shanghai Jiao Tong University. Previously, he was a post-doctor research fellow in the National Science Foundation Industry University Cooperative Research for Intelligent Maintenance Systems, and the College of Engineering and Applied Science at University of Cincinnati, USA. His research interests include data science, prognostics and health management, fault diagnosis and prediction, machine learning and signal processing, manifold learning and sparse coding, dimensionality reduction, etc.