Director
Dr. Chenhui Shao
Associate Professor
(Profile Page, Google Scholar)
Education:
Ph.D. in Mechanical Engineering, University of Michigan, 2016
M.A. in Statistics, University of Michigan, 2013
M.S.E. in Industrial and Operations Engineering, University of Michigan, 2013
B.E. in Automation, University of Science and Technology of China, 2009
Email: [email protected]
Education:
Ph.D. in Mechanical Engineering, University of Michigan, 2016
M.A. in Statistics, University of Michigan, 2013
M.S.E. in Industrial and Operations Engineering, University of Michigan, 2013
B.E. in Automation, University of Science and Technology of China, 2009
Email: [email protected]
Ph.D. Students
Zhiqiao Dong
Ph.D., 2019 – present
Zhiqiao Dong is a Ph.D. student in the Department of Mechanical Science and Engineering at UIUC. He received his B.E. in Automation and B.S. in Mathematics from the University of Science and Technology of China in 2019. His research interests include modeling, monitoring, and control in manufacturing. He is currently working on modeling and interpolation of spatial processes.
Email: [email protected]
Email: [email protected]
Shichen Li
Ph.D., 2019 – present
Shichen Li is a Ph.D. student in the Department of Mechanical Science and Engineering at UIUC. She received her B.S. Degree in Aerospace Engineering from Beihang University in 2019, and her M.S. degree in Mechanical Engineering from UIUC in 2021. Her research interests include data science, machine learning, and their applications in manufacturing. She is currently working on leveraging artificial intelligence techniques to enhance the intelligence of convective air-drying processes.
Email: [email protected]
Email: [email protected]
Kuan-Chieh Lu
Ph.D., 2019 – present
Kuan-Chieh Lu is a Ph.D. student in the Department of Mechanical Science and Engineering at UIUC. He received his B.S. degree in Mechanical Engineering from National Taiwan University, where he studied robotic design and dynamic system simulation. His research interest includes control theorem and quality control. He is currently working on the development of a real-time controller for ultrasonic welding and the application of machine learning in quality control.
Email: [email protected]
Email: [email protected]
Sixian Jia
Ph.D., 2020 – Present
Sixian Jia is a Ph.D. student in the Department of Mechanical Engineering at UM. She received her B.S. in Mechanical Engineering from Virginia Polytechnic Institute and State University (Virginia Tech) in 2020. Her research interests are machine learning and Gaussian Processes Regression in smart manufacturing. She is working on machine learning, data analytics, and modeling with two-photon lithography.
Email: [email protected]
Email: [email protected]
Li-Wei Shih
Ph.D., 2021 – Present
Li-Wei Shih is a Ph.D. student in the Department of Mechanical Engineering at UM. He received his dual B.S. degrees in Electrical Engineering and Mechanical Engineering from National Taiwan University. His research interest includes computer vision, data science, robotics, and control theorem. He is currently working on vision-based human action recognition in manufacturing.
Email: [email protected]
Email: [email protected]
Alice Mei
Ph.D., 2021 – Present
Alice Mei is a Ph.D. student in the Department of Mechanical Engineering at UM. She received her B.S. (with the highest university honors) in Mechanical Engineering from National Tsing Hua University (NTHU) in 2021. Her research interests include data science, quality control, and robotics in manufacturing. She is currently working on leveraging 3D point cloud data with deep learning to help decision-making in manufacturing.
Email: [email protected]
Email: [email protected]
Ahmadreza Eslaminia
Ph.D., 2021 – Present
Ahmadreza is a Ph.D. student in the Department of Mechanical Science and Engineering at UIUC co-advised by Prof. Klara Nahrstedt from the CS department. He received his B.S. in Mechanical Engineering from the Sharif University of Technology in 2020. His research interests include machine learning, federated learning, deep learning, and Internet of Things applications in smart manufacturing. He is currently working on integrating internal cyber data and environmental sensory data for a cyber-manufacturing environment.
Email: [email protected]
Email: [email protected]
Alumni
- Siyuan Chen (Ph.D., 2024), Solventum (formerly 3M Health Care). Ph.D. thesis: Improving manufacturing operations using deep learning: multi-faceted research in monitoring, diagnosis, and optimization
- Manan Mehta (Ph.D., 2024), C3.ai. Ph.D. thesis: Data-efficient machine learning for decision-making in smart manufacturing.
- Rainers Meng (Ph.D., 2023), City University of Hong Kong. Ph.D. thesis: Physics-informed machine learning for smart decision-making in ultrasonic metal welding.
- Yuhang Yang (M.S., 2017; Ph.D., 2022), Meta. MS thesis: Spatial modeling for periodic surfaces in manufacturing. Ph.D. thesis: Machine-learning-based measurement, modeling, and control of spatial variability in advanced manufacturing.
- Yulun Wu (M.S., 2021), pursuing a Ph.D. in ISE Department at UIUC. MS thesis: An end-to-end online quality prediction system for ultrasonic metal welding based on deep learning.
- Min-Hsiu Hsu (M.S., 2021), Apple. MS thesis: Machine learning-based non-destructive evaluation of fatigue damage in metals.
- Qasim Nazir (M.S., 2020), MathWorks. MS thesis: Online tool condition monitoring for ultrasonic metal welding via sensor fusion and machine learning.