Jingshan Li-Department of Industrial Engineering, Tsinghua University

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Education

Undergraduate Program Master's Program Ph.D. Program ABET ACCREDITATION

The bachelors's degree in Industrial Engineering at Tsinghua requires 170 credits totally, which include: spring & fall courses 142 credits, summer practicum 13 credits, and thesis project 15 credits. The 170 credits constitution is: General

The Master of Science degree in Industrial Engineering is offered to all students who finish the Industrial Engineering program usually in 2 years. Besides the required Master's thesis, the Industrial Engineering program requires 30 credits, con

The Philosophy of Doctor degree in Industrial Engineering is offered to all students who finish the Industrial Engineering program in at least 3 to 5 years.

PEOThe current PEO is:Employ industrial engineering theories, and analytical and management skills for incre
Research

Introduction Institute of Operations Research and Data Science Institute of System Operation and Digital Management Institute of Human Factors and Human-System Interaction Research Centers IE Laboratories

The Department of Industrial Engineering is devoted to solving efficiency, quality, cost and safety problems in industrial and service systems. The challenges in contemporary society are mostly complicated system problems, such as management of global production networks, establishment of efficient public healthcare systems, construction of traffic and transport systems and their operation networ

We apply state-of-the-art decision science and statistics knowledge to the development of the Chinese economy. To be specific, we use data-driven decision...

Human Factor and Ergonomics studies the correlations and interactions between human, tool, machine and environment in system, and promote the total productivity of human-machine system as well as people's health, security and the quality of life.

The research centers at the department are platforms for the collaboration and communication between the department and industries. They serve through research, technology transfer, management consulting, and continuous education & training. Below ar

The IE department has four laboratories: Human Factors Engineering Lab (HFEL), Logistics Engineering Lab (LEL), Production Engineering Lab (PEL), and Computing and Simulation Lab (CSL).
People

Academic Faculty Research Staff Advisory Board Honorary Professors Guest Professors Distinguished Visiting Professors Lab Engineers Post Doctorates

The department is well structured by a team of 30 highly qualified faculty members, including 7 full professors, 17 associate professors, and 6 assistant professors. The founding chaired professor and department head is Dr. Gavriel Salvendy, who is a prof

Dr. Gavriel Salvendy Chair of the Review Board
University Distinguished Professor
University of Central Florida,and President Academy of Science, Engineering and Medicine of Florida
Member of National Academy of Engineering, US

Dr Hubertus ChristPresident of VDI ( Verein Deutscher Ingenieure,Germany)Time of appointment: 2002-2008Mr. Tome LeamonVi

Professor David W. Coit, Professor Uday Kumar, Professor Ting Li

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博士后
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[Time] 9:00-10:00, April 11 (Saturday), 2020 [Location] Online
Lotus Pond Rain Classroom: W141WB
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[Speaker] Dr. Luyi Yang
[Title] A Model of Queue-Scalping
Student

Introduction Undergraduate Activities Graduate Activities

The department has one associate chair as the department-level student advisory board director. The board has an undergraduate branch and a graduate branch. Each branch is formed by class advisors, class assistants, student union, Youth League, and Scienc The IE department has eight undergraduate classes (each grade has two classes of about 70 students). Also we have two faculty members as the advisors for the freshmen, two for the sophomores, one for the juniors, and o

The students are required to participate in extracurricular activities in order to prepare themselves with not only knowledge in IE, but also Teamwork and interpersonal skills, Leadership, and Social responsibilities. The university-level student advisor
Admission

Undergraduate Program Master's Program Ph.D. Program

The Bachelor program requires 173 credits, consisting of 136 credits in spring/fall semesters, 4 credits in senior projects, 18 credits in summer practice and military training, and 15 credits of a final thesis. The courses are classified into five catego

International programs have been initiated since 2001 including the Tsinghua-Aachen joint master program and Tsinghua-Gatech exchange program. And a two-year, professional-orientated Master's program in Management Science and Engineering (Global Manufactu

The doctoral degree program usually lasts 3 to 5 years. Students with Master's degree usually spend 3 to 4 years. The program has 22 credits consisting of 13 credits of core courses, and 5 credits of research requirements. Students without an IE related M

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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.