Qing Chang
Scholar

Qing Chang

Google Scholar ID: TfPemJcAAAAJ
Mechanical and Aerospace Engineering, University of Virginia
smart manufacturing system modeling and analysisproduction controlHRC
Citations & Impact
All-time
Citations
3,570
 
H-index
28
 
i10-index
73
 
Publications
20
 
Co-authors
23
list available
Resume (English only)
Academic Achievements
  • - Multiple students successfully defended their MS or PhD dissertations
  • - Listed by SME as one of 'The 20 Most Influential Professors in Smart Manufacturing'
Research Experience
  • - Cyber Physical Systems for Smart Manufacturing
  • - Human-Robot Collaboration in Industrial Settings
  • - Knowledge-guided Machine Learning based Control
  • - Integrated Modeling and Real-time Control through Multi-Agent Approach
  • - Intelligent Maintenance for Manufacturing Systems
  • - Real-Time Energy Management for Integrated Production and Energy System
  • - Battery Manufacturing System Modeling, Analysis, and Reliability Assessment
Background
  • Leads the Intelligent Systems Lab at the University of Virginia, focusing on various aspects of intelligent systems research as applied to manufacturing systems.
Miscellany
  • Welcoming new members to the research group; Open positions available for Ph.D. Students