李京山(清華大學工業工程系主任、機械工程學院副院長)

李京山(清華大學工業工程系主任、機械工程學院副院長)

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李京山,清華大學工業工程系主任、機械工程學院副院長。

基本介紹

  • 中文名:李京山
  • 國籍中國
  • 畢業院校清華大學密西根大學安娜堡分校
  • 學位/學歷:博士
  • 專業方向:工業工程
  • 職務:清華大學工業工程系主任、機械工程學院副院長
  • 主要成就:IEEE會士、IISE會士 
人物介紹,教育背景,工作經歷,研究方向,所獲榮譽,主要著作,期刊文章,

人物介紹

李京山博士現為清華大學工業工程系Gavriel Salvendy講席教授、系主任,是IEEE會士和IISE會士。斷簽擔曾任美漿姜國威斯康星大學麥迪遜分校工業與系統工程系終身正教授(至2021年9月)。他的主要研究領域包括系統建模、分析和格市訂控制,並套用在生產、服務和醫療領域,做出了許多重要的原創性工作,發表了大量經同行評議的期刊和會議論文,著有2本教材,編纂了7本叢書。李京山教授曾獲得美國國家科學基金會早期職業獎、IEEE機器人與自動化學會早期職業獎、頸譽戲多項國際頂級期刊與會議大獎和最佳教材獎,以及威斯康星大學多項榮譽獎項。曾任多個國際頂級年會主席和墊設臘著名期刊資深編輯,曾參與組織過多個旗艦國際會議,獲得過諸多來自政府部門、工業界和醫療機構的研究經費。
李京山
楊斌副校長(左)代表學校歡迎李京山教授(右)上任

教育背景

1989:學士,清華大學自動化系
1992:碩士,中國科學院自動化所
2000: 博士,密西根大學安娜堡分校電機工程與計算機科學系

工作經歷

2000-2006:通用汽車公司研發中心製造系統研究實驗室
2006-2010:肯塔基大學電機與計算機工程系和製造中心
2010-2021:威斯康星大學麥迪遜分校工業與系鍵拘諒堡統工程系
2021至今:清華大學工業工肯囑良戲程系

研究方向

智慧型製造與智慧醫療服務系統的建模、分析、控制和最佳化。

所獲榮譽

·最佳論文獎,IEEE Transactions on Automation Science and Engineering, 2005
·早期職業獎,IEEE Robotics and Automation Society, 2006
·最佳論文獎, IIE Transactions, 2009
·早期職業獎,美國國家科學基金會,2010
·最佳論文獎,IFAC Conference on Manufacturing Modeling, Management and Control, St Petersburg, Russia, 2013
·最佳論文獎,IEEE International Conference on Automation Science and Engineering, Gothenburg, Sweden, 2015
·IEEE 會士 2017
·IEEE 傑出講師 2018
·IISE 會士 2020

主要著作

Production Systems Engineering,J. Li, S.M. Meerkov, Springer, 2009
·生產系統工程(中譯本),北京理工大學出版社,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.

期刊文章

· 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.
·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.

期刊文章

· 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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