معرفی
Edward Wang serves as Associate Professor in the Department of Mechanical and Aerospace Engineering at Case School of Engineering, Case Western Reserve University. His research develops advanced AI/ML tools for smart manufacturing systems, focusing on predictive maintenance, quality assurance in additive manufacturing, and robotic automation of complex processes like welding.
His educational background includes:
- PhD in Mechanical & Aerospace Engineering from Case Western Reserve University (2017)
- MS in Computer Science from Beijing University of Chemical Technology, China (2012)
- BS in Communication Engineering from Beijing University of Chemical Technology, China (2010)
Dr. Wang's research centers on reducing barriers to intelligent manufacturing through cost-effective edge computing solutions and domain-knowledge-integrated AI systems. Key focus areas include unsupervised learning for process dynamics characterization, real-time control of metal additive manufacturing, and mutual augmentation between data-driven decision-making and physical process understanding. His work bridges theoretical AI advancements with practical industrial applications.
His notable scientific awards include:
- NSF CAREER Award (2023)
- ISFA Young Investigator Award (2024)
- Multiple Best/Outstanding Paper Awards from MSEC, NAMRC, and CIRP conferences (2017-2023)
- SME Outstanding Young Manufacturing Engineer Award (2022)
Dr. Wang secures significant research funding including the NSF CAREER grant and serves in editorial and leadership roles including Co-Chair of ASME's Quality and Reliability Technical Committee, Associate Editor for Journal of Intelligent Manufacturing and IEEE Sensors Journal, and Program Committee member for ISFA and NAMRI/SME.
