Edward Wang

Associate Professor
Department of Mechanical and Aerospace Engineering
Case School of Engineering

Develops advanced AI/ML tools for smart manufacturing, including predictive maintenance, quality assurance in additive manufacturing, and robotic automation.

Teaching Information

Teaching Interests

Machine Learning for Manufacturing, Control Theories

Research Information

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).

Awards and Honors

Young Investigator Award
2024
International Symposium on Flexible Automation (ISFA)
CAREER Award
2023
National Science Foundation (NSF)
Best Paper Award
2023
Manufacturing Science and Engineering Conference (MSEC)
Outstanding Young Manufacturing Engineer Award
2022
Society of Manufacturing Engineers (SME)
Outstanding Technical Paper Award
2021
North American Manufacturing Research Conference (NAMRC)
Outstanding Technical Paper Award
2020
North American Manufacturing Research Conference (NAMRC)
Best Paper Award
2020
CIRP Conference on Manufacturing Systems (CMS)
Outstanding Technical Paper Award
2017
North American Manufacturing Research Conference (NAMRC)
First Prize
2016
DMDII DMC Hackathon

Professional Memberships

Aug. 28, 2023 - PRESENT, Co-Chair, Quality and Reliability Technical Committee ASME Manufacturing Engineering Division (MED)
Jan. 28, 2022 - PRESENT, Associate Editor Journal of Intelligent Manufacturing
Jan. 28, 2021 - PRESENT, Associate Editor IEEE Sensors Journal
Jan. 28, 2020 - PRESENT, Program Committee and Track Organizer International Symposium on Flexible Automation (ISFA)
Jan. 28, 2018 - PRESENT, Member North American Manufacturing Research Institution of SME (NAMRI/SME) Scientific Committee

Education

PhD
Mechanical & Aerospace Engineering
Case Western Reserve University
2017
MS
Computer Science
Beijing University of Chemical Technology, China
2012
BS
Communication Engineering
Beijing University of Chemical Technology, China
2010