Peng (Edward) Wang
Associate Professor, Mechanical and Aerospace Engineering
Develops advanced AI/ML tools for smart manufacturing, including predictive maintenance, quality assurance in additive manufacturing, and robotic automation
Office:
449B Glennan
Email:
pxw206@case.edu
Education
Ph.D., Mechanical & Aerospace Engineering, Case Western Reserve University, 2017
M.S., Computer Science, Beijing University of Chemical Technology, China, 2012
B.S., Communication Engineering, Beijing University of Chemical Technology, China, 2010
Awards and Recognitions
2024,
Young Investigator Award,
International Symposium on Flexible Automation (ISFA)
2023,
CAREER Award,
National Science Foundation (NSF)
2023,
Best Paper Award,
Manufacturing Science and Engineering Conference (MSEC)
2022,
Outstanding Young Manufacturing Engineer Award,
Society of Manufacturing Engineers (SME)
2021,
Outstanding Technical Paper Award,
North American Manufacturing Research Conference (NAMRC)
2020,
Outstanding Technical Paper Award,
North American Manufacturing Research Conference (NAMRC)
2020,
Best Paper Award,
CIRP Conference on Manufacturing Systems (CMS)
2017,
Outstanding Technical Paper Award,
North American Manufacturing Research Conference (NAMRC)
2016,
First Prize,
DMDII DMC Hackathon
Research Interests
1) developing cost-effective edge devices together with data management, processing, and learning pipelines to reduce the barriers for manufacturers in building affordable digitalized and intelligent shop floors. 2) improving AI and ML credibility and generalizability in manufacturing, through integrating domain-knowledge-based constraints to data-driven learning processes and, toward mutual augmentation between data-driven decision-making and physical understandings. 3) reducing demands/efforts on manual data labeling and ML model maintenance, through unsupervised learning from big unlabeled plant data on characterizing machine/process dynamics/uncertainties. 4) advancing in-situ process monitoring (i.e., defect detection and quality prediction) and real-time control of complex manufacturing processes (e.g., metal additive manufacturing). 5) robotic automation of complex manufacturing processes (e.g., welding).Teaching Interests
Machine Learning for Manufacturing, Control TheoriesProfessional Leadership and Service
Monday, August 28, 2023 -
PRESENT,
Co-Chair, Quality and Reliability Technical Committee
ASME Manufacturing Engineering Division (MED)
Sunday, January 28, 2018 -
PRESENT,
Member
North American Manufacturing Research Institution of SME (NAMRI/SME) Scientific Committee
Friday, January 28, 2022 -
PRESENT,
Associate Editor
Journal of Intelligent Manufacturing
Thursday, January 28, 2021 -
PRESENT,
Associate Editor
IEEE Sensors Journal
Tuesday, January 28, 2020 -
PRESENT,
Program Committee and Track Organizer
International Symposium on Flexible Automation (ISFA)
Affiliated Department Research Areas
News About Peng (Edward) Wang
Sep. 9, 2024
New Faculty Spotlight: Peng Wang
For Peng Wang, the engineering process is a journey of discovery and innovation, beginning with the critical step of identifying a problem. The problem he is addressing? Improving operational safety, process stability, efficiency, quality assurance and sustainability in manufacturing. Through creative solutions, Wang turns abstract concepts into practical prototypes, something he finds very rewarding.