معرفی
Chenhui Shao is an Associate Professor in the Department of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign (UIUC), part of the Grainger College of Engineering. He holds a Ph.D. in Mechanical Engineering from the University of Michigan (2016), with prior degrees in Statistics, Industrial and Operations Engineering, and Automation. His academic roles include serving as an Associate Editor for multiple journals and organizing conferences such as the ASME International Manufacturing Science and Engineering Conference.
Education:
- Ph.D., Mechanical Engineering, University of Michigan, 2016 (Advisors: S. Jack Hu and Jionghua Jin)
- M.A., Statistics, University of Michigan, 2013
- M.S.E., Industrial and Operations Engineering, University of Michigan, 2013
- B.E., Automation, University of Science and Technology of China, 2009
Research Interests:
- Smart Manufacturing
- Machine Learning in Manufacturing
- Big Data Analytics and Materials Joining
- Manufacturing Systems Control and Automation
- Applications in Dynamics, Energy, Environment, and Healthcare
Recent Research Trends: His work focuses on federated learning for distributed manufacturing, physics-informed machine learning for process optimization, and sensor fusion for quality prediction. Key areas include ultrasonic metal welding, additive manufacturing, and two-photon lithography.
Awards:
- 2022 Dean’s Award for Excellence in Research
- 2021 ASME Chao and Trigger Young Manufacturing Engineer Award
- 2020 NSF CAREER Award
- Multiple teaching excellence recognitions from UIUC students
Advising & Grants: Advised over 10 Ph.D. and Master’s students, with notable projects funded by NSF, NCSA, and industry partnerships like CRRC Corporation. Collaborates on interdisciplinary initiatives such as the Center for Advanced Research in Drying (CARD) and the NSF nanoMFG Node.
Labs & Teams: Leads the Automation and Digital Manufacturing Lab (ADML), focusing on machine learning, control systems, and sustainable manufacturing. Active in national and international conferences, organizing sessions on topics like additive manufacturing and smart manufacturing networks.
