Qing Chang

Qing (Cindy) Chang is a Professor in the Department of Mechanical Engineering at the University of Virginia. Her research focuses on cyber-physical systems for smart manufacturing, real-time production control, and human-robot collaboration. Prior to academia, she worked at General Motors, earning three Boss Kettering Awards for innovation. She holds an M.S. from the University of Wisconsin-Madison and a Ph.D. in Manufacturing from the University of Michigan.

Education:

• M.S. in Mechanical Engineering, University of Wisconsin - Madison
• Ph.D. in Manufacturing, University of Michigan – Ann Arbor

Research Interests:

• Cyber-Physical Systems for Smart Manufacturing
• Real-time Production Control
• Knowledge-guided Machine Learning-based Control
• Human-Robot Collaboration in Industrial Settings
• Intelligent Maintenance and Energy Management

Awards:

• 20 most influential professors in smart manufacturing (2020)
• NSF CAREER Award (2014)
• General Motors Boss Kettering Awards (2005, 2006, 2008)
• GM R&D Charles L. McCuen Special Achievement Awards (2005, 2006, 2008)

Leadership & Grants:

She serves on the board of NAMRI/SME and holds editorial roles in ASME, IEEE, and SME journals. Her work bridges AI, robotics, and manufacturing systems, with notable grants including the NSF CAREER Award.

Labs & Teams:

Her Intelligent Systems Lab develops AI-driven solutions for manufacturing efficiency and sustainability, focusing on energy management, predictive analytics, and human-robot collaboration.