Skip to content
Eng · 繁體 · 简体

 [   ] 

Prof. LI Lishuai (李立帥博士)

PhD(MIT), MSc(MIT), BEng(Fudan University)

Director of Flagship Programme, College of Computing

Associate Head, Department of Data Science

Associate Professor

Contact Information

Office:  LAU-16-276
Phone: (+852) 3442-4726
Email: lishuai.li@cityu.edu.hk
Web: Research Group Website

Research Interests

  • Data Science
  • Industrial AI
  • Air Transportation Systems
Prof. Lishuai Li is an Associate Professor in the Department of Data Science, affiliated with Department of Systems Engineering and Department of Mechanical Engineering, and she serves as the Director of Flagship Program at College of Computing, and Associate Head at Department of Data Science, City University of Hong Kong. Her research is in the interdisciplinary field of intelligent transportation systems and data science. She has developed analytical methods (ranging from statistical methods to Artificial Intelligence) using large-scale operational data for safety management and operations improvement at airlines, airports, and air traffic management agencies. More recently, she has been working on traffic management problems and infrastructural challenges for unmanned aircraft systems in drone delivery service and urban air mobility.

Prof. Li has been recognized in Stanford-Elsevier’s List of the World’s Top 2% Scientists in 2022 - 2024 (Single Year Index). She serves as an associate editor for "Transportation Research Part C: Emerging Technologies" and on the editorial board of "Journal of Air Transport Management", "Aerospace" and "International Journal of Reliability and Safety". Prof. Li is a fellow of the Royal Aeronautical Society and a senior member of IEEE. She serves as the vice chair of the Aviation Applications Section (AAS) at the Institute for Operations Research and the Management Sciences (INFORMS) since 2022. Prof. Li received her Ph.D. and M.Sc. from the Department of Aeronautics and Astronautics at Massachusetts Institute of Technology (MIT), and her B.Eng. in Aircraft Design and Engineering from Fudan University. Previously, she worked at McKinsey & Company in the US and Delft University of Technology in the Netherlands.

李立帥副教授任教於香港城市大學數據科學系，並榮譽隸屬於系統工程系和機械工程系。她擔任計算學院的旗艦課程總監，和數據科學系的副系主任。她的研究範疇屬於智能交通系統和數據科學的交叉學科領域。 她利用大規模運營數據研發統計分析及人工智能方法，用於航空安全管理和運營改進、空中交通管理，以及智能交通系統的監測預測和故障診斷。 最近，她在研究低空經濟相關的無人機交通管理問題和基礎設施挑戰。

李教授在 2022年至2024年連續被斯坦福-愛思唯爾指標（單年）評為全球前 2% 的被引用最多的學者之一。她擔任“Transportation Research Part C: Emerging Technologies”、“Journal of Air Transport Management”、“Aerospace”和“International Journal of Reliability and Safety”的編委。李教授是英國皇家航空學會（RAeS）會士，美國電氣電子工程師學會（IEEE）高級會員。 她服務於國際運籌學和管理學研究協會（INFORMS），任航空應用分部（AAS）的副主席。李教授於美國麻省理工學院航空航天系取得博士學位和理學碩士學位，以及覆旦大學飛行器設計與工程取得工程學士學位。 她曾在麥肯錫公司任職和荷蘭代爾夫特理工大學任教。


Awards and Achievements

  • 2024 “Silver Award” The 49th International Exhibition of Inventions of Geneva.
  • 2023 “Gold with Congratulations of Jury Award” the 3rd Asia Exhibition of Innovations & Inventions Hong Kong.
  • 2023 “Merit award in 2023 China Intelligent Transportation Innovation Challenge” the 18th China Intelligent Transportation Annual Conference 2023 (ITSAC 2023).
  • 2023 “Top 2% of the World’s Most Cited Scholars (Single Year, Stanford-Elsevier indicator)” Stanford University. [URL]
  • 2022 “Top 2% of the World’s Most Cited Scholars (Single Year, Stanford-Elsevier indicator)” Stanford University. [URL]
  • 2019 “Best Presentation Award” The 3rd International Conference on Smart and Sustainable Planning for Cities and Regions (SSPCR).
  • 2018 “Best of Session Award (ATM-D: Analytics) ” The IEEE/AIAA 37th Digital Avionics Systems Conference.
  • 2017 “Outstanding Scholar Award” Shenzhen Science and Technology Innovation Commission.


Patents

  • He, Fang, Li, Lishuai & Zhang, Lei, Grid Based Path Search Method for UAV Delivery operations in Urban Environment, US Patent No. 11,915,599, 27 Feb 2024.
  • Li, Lishuai, Charruaud, Florence, Zhao Weizun, Method of presenting flight data of an aircraft and a graphical user interface for use with the same, US Patent No. 11,299,288, 12 Apr 2022.
  • He, Fang, Li, Lishuai, Zhang, Lei & He, Xinyu, Route Network Planning for Drone Logistics in Urban Environment, US Provisional Patent No. Priority# 17/468,628, 7 Sep 2021.


Publications Show All Publications Show Prominent Publications


Journal

  • He, Xinyu. , Li, Lishuai*. , Mo, Yanfang. , Huang, Jianxiang. & Qin, S. Joe. (Mar 2024). A distributed route network planning method with congestion pricing for drone delivery services in cities. Transportation Research Part C: Emerging Technologies. 160, 104536. doi:10.1016/j.trc.2024.104536
  • He, Xinyu. , He, Fang. , Li, Lishuai*. , Zhang, Lei. & Xiao, Gang. (Oct 2022). A route network planning method for urban air delivery. Transportation Research Part E: Logistics and Transportation Review. 166. doi:10.1016/j.tre.2022.102872
  • He, Yuxin. , Li, Lishuai*. , Zhu, Xinting. & Tsui, Kwok Leung. (2022). Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow. IEEE Transactions on Intelligent Transportation Systems. doi:10.1109/TITS.2022.3150600
  • Zhu, Xitning. & Li, Lishuai*. (2021). Flight Time Prediction for Fuel Loading Decisions with a Deep Learning Approach. Transportation Research Part C: Emerging Technologies. 128. doi:10.1016/j.trc.2021.103179
  • Lin, Yu. , Li, Lishuai*. , Ren, Pan. , Wang, Yanjun. & Szeto, W. Y. (2021). From Aircraft Tracking Data to Network Delay Model: A Data-Driven Approach Considering En-Route Congestion. Transportation Research Part C: Emerging Technologies. 131. doi:10.1016/j.trc.2021.103329
  • Hong, Ning. , Li, Lishuai*. , Yao, Weiran. , Zhao, Yang. , Yi, Cai. , Lin, Jianhui. & Tsui, Kwok Leung. (2019). High-Speed Rail Suspension System Health Monitoring Using Multi-Location Vibration Data. IEEE Transactions on Intelligent Transportation Systems. 21/7. 2943 - 2955. doi:10.1109/TITS.2019.2921785
  • Ren, Pan. & Li, Lishuai*. (2018). Characterizing air traffic networks via large-scale aircraft tracking data: A comparison between China and the US networks. Journal of Air Transport Management. 67. 181 - 196. doi:10.1016/j.jairtraman.2017.12.005
  • Li, Lishuai*. , Hansman, John. R. , Palacios, Rafael. & Welsch, Roy. (2016). Anomaly Detection via a Gaussian Mixture Model for Flight Operation and Safety Monitoring. Transportation Research Part C: Emerging Technologies. 64. 45 - 57. doi:10.1016/j.trc.2016.01.007
  • Li, Lishuai*. , Das, Santanu. , Hansman, R. John. , Palacios, Rafael. & Srivastava, Ashok. N. (2015). Analysis of Flight Data Using Clustering Techniques for Detecting Abnormal Operations. Journal of Aerospace Information Systems. Vol. 12, No. 9. 587 - 598. doi:10.2514/1.I010329


External Services


Public Service

  • 2023 - 2024, Member, Global Future Council on the Future of Autonomous Mobility, World Economic Forum.

Professional Activity

  • 2023 - Now, Vice Chair, Aviation Applications Section, the Institute for Operations Research and the Management Sciences (INFORMS).


Membership of Professional Bodies

  • Fellow, Royal Aeronautical Society (RAeS)
  • Senior Member, Institute of Electrical and Electronic Engineers (IEEE)
  • Member, Institute for Operations Research and the Management Sciences (INFORMS)
  • Member, American Institute of Aeronautics and Astronautics (AIAA)
  • Board Observer, Hong Kong Society for Transportation Studies (HKSTS)


Journal editorship

  • Associate Editor, Transportation Research Part C: Emerging Technologies, 01/2024 – present
  • Editorial Board, Journal of Air Transport Management, 03/2023 – present
  • Editorial Board, Aerospace, 11/2021 – present
  • Editorial Board, International Journal of Reliability and Safety, 12/2021 – present


Last update date : 03 Nov 2024