Rate My Professor Chao Wang

Chao Wang is an Associate Professor in the Department of Industrial and Systems Engineering at the University of Iowa College of Engineering. He also serves as an Associate Research Engineer at IIHR—Hydroscience and Engineering and leads the Laboratory for IoT-Enabled Data Analytics and System Informatics. Prior to his current role, Wang joined the University of Iowa as an Assistant Professor following his doctoral studies. His academic background includes a Ph.D. in Industrial Engineering from the University of Wisconsin-Madison in 2019, an M.S. in Statistics from the same institution in 2018, an M.S. in Mechanical Engineering from the University of Science and Technology of China in 2015, and a B.S. in Mechanical Engineering from Hefei University of Technology in 2012.

Wang's research specializations encompass smart and connected systems, transfer and multitask learning for information fusion, high-dimensional data modeling and analysis, manufacturing process control, and infrastructure management. His work further focuses on statistical modeling, analysis, monitoring, and control for complex systems, including manufacturing processes, applied statistics, and monitoring and prognosis. Supported by federal funding from NSF, DoD, DoE, and DoT, Wang's contributions have earned over 600 citations on Google Scholar, underscoring his impact in the field. He has received the 2024 Susan Smyth Outstanding Young Manufacturing Engineer Award from SME, the Best Paper Award from IISE Transactions, and several Best Paper Awards and Finalists at INFORMS Annual Conferences. Wang serves as an Associate Editor for the Journal of Intelligent Manufacturing, delivers public lectures such as 'Transfer Learning for Individualized Prediction,' and holds memberships in INFORMS, IISE, and SME. Key publications include 'Generalized Time Warping Invariant Dictionary Learning for Time Series Classification and Clustering' (2023) and works featured in IISE Transactions.