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Tony Zhongshun Shi

Assistant Professor

Tony Zhongshun Shi

Contact Information

516 John D. Tickle Engineering Building,
851 Neyland Drive,
Knoxville, TN 37996-2315

Phone
865-974-7654

Email
tony.shi@utk.edu

Research Areas

  • Integration of AI, Human and Complex Systems
  • Manufacturing, Machining, AI-enabled Simulation and Digital Twin
  • Modeling, Simulation, Design, Control and Optimization of Dynamic Systems
  • Function Approximation, Scientific Machine Learning, Mathematical Optimization
  • System-driven AI for Scientific Discovery and Engineering Innovation

Biography

Tony Zhongshun Shi is an Assistant Professor in the Department of Industrial and Systems Engineering and directs the System-driven AI Lab (SAIL) at the University of Tennessee Knoxville (UT). He is also an Affiliated Faculty of Machine Tool Research Center and Institute of Advanced Materials and Manufacturing at UT. Prior to joining UT, he was a Postdoctoral Research Associate in the Department of Industrial and Systems Engineering at the University of Wisconsin-Madison. He received his PhD in Management Science and Engineering from Peking University. His research focuses on the integration of AI, human and complex systems by developing trustworthy system-driven AI methods toward scientific discovery and engineering innovation, with an emphasis of smart manufacturing. Integrated digital tools will be developed to serve research, education, and industry.

Education

  • PhD, Management Science and Engineering, Peking University, 2017
  • BS, Pure and Applied Mathematics, China University of Geosciences (Beijing), 2011

Courses Taught

  • Artificial Intelligence for Complex Systems
  • AI-enabled Manufacturing Systems
  • Advanced Design of Experiments
  • Statistical Methods in Industrial Engineering

Research Publications

See Google Scholar