Qing Cindy Chang

Qing (Cindy) Chang is a Professor in the Department of Mechanical and Aerospace Engineering at the University of Virginia, where she directs the Intelligent Systems Lab. She joined UVA in 2019 after serving as an associate professor at Stony Brook University. Prior to academia, she spent a decade at General Motors R&D, receiving their highest innovation awards.

Education:
M.S. from University of Wisconsin-Madison
Ph.D. in Manufacturing from University of Michigan

Research Focus:
Chang's work integrates math-based modeling and data-driven methods to optimize manufacturing systems. Key areas include:

• Adaptive control and machine learning for production efficiency
• Human-robot collaboration frameworks
• Sustainable manufacturing through energy management
• Real-time control of cyber-physical production systems
• Reinforcement learning applications in industrial automation

Research Trends:
Her recent publications (2024-2025) demonstrate strong focus on AI-driven manufacturing optimization, with 80% leveraging reinforcement learning/LLMs for robotic control. Key themes include multi-agent coordination (67% of papers), energy efficiency (53%), and flexible production systems (47%).

Awards & Recognition:

• Inducted as SME Scholar (2024)
• 20 Most Influential Professors in Smart Manufacturing - SME (2020)
• NSF CAREER Award (2014)
• Three-time GM Boss Kettering Award winner (2005,2006,2008)
• ASME and SME Fellow

Leadership & Funding:
Serves on NAMRI/SME Board of Directors with editorial roles across ASME/IEEE/SME journals. Research supported by NSF (including CAREER), Department of Energy, and multiple industry partners. Leads projects on human-robot collaboration and sustainable manufacturing.

Lab & Collaboration:
Directs the Intelligent Systems Lab at UVA, focusing on industrial AI applications. Collaborates with automotive and energy sectors to translate research into practical solutions for smart factories.