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Jingshan Li, Professor

Contacts

Name: Jingshan Li Phone: +86-10-6278-7546 E-mail: jsli@tsinghua.edu.cn Fax: Address: Room N506A, Shunde Building, Tsinghua University Homepage:

Bio-sketch

Dr. Jingshan Li is a full professor in the Department of Industrial Engineering, Tsinghua University. He is an IEEE Fellow, an IISE Fellow, and an IEEE Distinguished Lecturer in Robotics and Automation. He was a tenured Professor in Department of Industrial and Systems Engineering, University of Wisconsin-Madison, till September 2021. His main research areas are in modeling, analysis, and control in manufacturing and healthcare systems. He has made many innovative work, with a lot of peer-reviewed journal articles and conference proceedings, two textbooks, and seven book volumes. He has received NSF Career Award, IEEE Early Career Award in Robotics and Automation, Best Paper Awards in IEEE Transactions, IIE Transactions, and prestigious international conferences, Best Textbook Award, and awards in UW Madison. He has been the Senior Editors of many top journals and Chairs of flagship conferences. His research has been supported by NSF, DOE, NIST, AHRQ, and industrial and healthcare organizations. 

Education Background

2000: PhD, Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA

1992:MS, Institute of Automation, Chinese Academy of Science, Beijing, China

1989:BS, Department of Automation, Tsinghua University, Beijing, China

Employment Experience

2021-:Department of Industrial Engineering, Tsinghua University

2010-2021:Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA

2006-2010:Department of Electrical and Computer Engineering and Center for Manufacturing, University of Kentucky, Lexington, KY, USA

2000-2006:Manufacturing Systems Research Lab, General Motors Research and Development Center, Warren, MI, USA

Research Interests

Modeling, analysis, control, and optimization of smart manufacturing and healthcare systems

Selected Honors and Awards

·IISE Fellow 2020

·IEEE Distinguished Lecturer 2018

·IEEE Fellow 2017

·Best Paper Award, IEEE International Conference on Automation Science and Engineering, Gothenburg, Sweden, 2015

·Best Paper Award,IFAC Conference on Manufacturing Modeling, Management and Control, St Petersburg, Russia, 2013

·CAREER Award, National Science Foundation,2010

·Best Paper Award, IIE Transactions, 2009

·Early Career Award, IEEE Robotics and Automation Society, 2006

·Best Paper Award, IEEE Transactions on Automation Science and Engineering, 2005

Selected Professional Services

·Senior Editor, IEEE Transactions on Automation Science and Engineering, 2017-

·Senior Editor, IEEE Robotics and Automation Letters, 2015-2019.

·Department Editor, IISE Transactions, 2011-

·Area Editor, Flexible Service and Manufacturing Journal, 2018-

·Associate Editor, International Journal of Production Research, 2012-

·Editor-in-Chief, Conference Editorial Board, IEEE International Conference on Automation Science and Engineering, 2019-2022

·Program Chair, IEEE International Conference on Automation Science and Engineering, Vancouver, Canada, 2019.

Selected Publications

·Production Systems Engineering,J. Li, S.M. Meerkov, Springer, 2009

·生产系统工程(中译本),北京理工大学出版社,2012

·J. Li, N. Kong and X. Xie, Stochastic Modeling and Analytics in Healthcare Delivery Systems, World Scientific Publishing, 2017.

·J. Li, B. Lennartson, G. Tang, S. Biller and A. Matta, Sustainable Production Automation, Momentum Press, 2016.

·J. Li, S. Zhou and Y. Han, Advances in Battery Manufacturing, Service, and Management Systems, IEEE Press/Wiley, 2016.

Journal Papers (2021-now)

· J. Li and C. Pascale, ``Health Care 4.0: A vision for smart and connected health care,'' IISE transactions on healthcare systems engineering, vol. 11, no. 3, pp. 171-180, 2021.

· S. Lee, P.A. Bain, A.J. Musa, C. Baker and J. Li, ``An integrated opioid prescription optimization framework for total joint replacement surgery patients,'' IISE Transactions on Healthcare Systems Engineering, vol. 11, no. 3, pp. 209-223, 2021.

· M. Wang, H. Huang and J. Li, ``Transient analysis of multi-product Bernoulli serial lines with setups,'' IEEE Transactions on Automation Science and Engineering, vol. 18, no. 1, pp. 135-150, 2021.

· S. Lee, L. Liu, R. Radwin and J. Li, ``Machine learning in manufacturing ergonomics: recent advances, challenges, and opportunities,'' IEEE Robotics and Automation Letters, vol. 6, no. 3, pp. 5745-5752, 2021.

· W. Zhu, A. DeLonay, M. Smith, P. Carayon and J. Li, ``Reducing fall-related readmission for elderly diabetes patients in emergency departments: a transition flow model,'' IEEE Robotics and Automation Letters, vol. 6, no. 3, pp. 5642-5649, 2021.

· M. Wang, H. Huang and J. Li, ``Transients in flexible manufacturing systems with setups and batch operations: modeling, analysis, and design,'' IISE Transactions, vol. 53, no. 5, pp. 523-540, 2021.

· Y-J. Zhang, L. Liu, N. Huang, R. Rodwin and J. Li, ``From manual operation to collaborative robot assembly: an integrated model of productivity and ergonomic performance,'' IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 895-902, 2021.

· S. Lee, S. Wei, V. White, P.A. Bain, C. Baker and J. Li, ``A semi-supervised classification model for predicting opioid usage after total knee and hip replacement surgeries,'' IEEE Journal on Biomedical and Health Informatics, vol. 25, no. 1, pp. 189-200, 2021.

· S. Lee, P.A. Bain, A.J. Musa and J. Li, ``A Markov chain model of physician workflow in primary care clinics,'' Health Care Management Science, vol. 24, no. 1, pp. 72-91, 2021.

· K. Gong, H.K. Lee, K. Yu, X. Xie and J. Li, ``A prediction and interpretation framework of acute kidney injury in critical care,'' Journal of Biomedical Informatics, vol. 113, 103653, 2021.

· L. Liu, A.J. Schoen, C. Henrichs, Y. Zhang, J. Li, B. Mutlu and R. Radwin, “Human robot collaboration for enhancing work activities,” accepted, Human Factors, 2022.

· L. Liu, C.-B. Yan and J. Li, “Modeling and analysis of batch-discrete production systems: a systems approach,” IEEE Transactions on Automation Science and Engineering, vol. 24, no. 1, pp. 617-631, 2022.

· H.K. Lee, J. Li, P.A. Bain and C. Baker, “Optimal intervention policies for TJR postoperative care process,” Manufacturing & Service Operations Management, vol. 24, no. 1, pp. 617-631, 2022.

· N. Chen, N. Huang, R. Radwin and J. Li, “Analysis of Assembly-Time Performance (ATP) in Manufacturing Operations with Collaborative Robots: A Systems Approach, ” International Journal of Production Research, vol. 60, no. 1, pp. 277-296, 2022.

· Y-J. Zhang, N. Huang, R. Radwin, Z. Wang and J. Li, “Flow time in collaborative assembly systems: performance evaluation, system properties, and a case study,” IISE Transactions, vol. 54, no. 3, pp. 238-250, 2022.

· L. Liu, A.J. Schoen, C. Henrichs, Y. Zhang, J. Li, B. Mutlu and R. Radwin, “Human robot collaboration for enhancing work activities,” accepted, Human Factors, 2022.


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Department of Industrial Engineering, Tsinghua University
Phone: 010-62772989
Fax:010-62794399
E-mail:ieoffice@tsinghua.edu.cn
Address:Shunde Building, Tsinghua University, Beijing 100084


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