Prof. Lishuai Li is an Associate Professor in the School of Data Science and Department of Mechanical Engineering (by courtesy) at the 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’s List of the World’s Top 2% Scientists in 2022 (Single Year) and 2023 (Single Year). 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.
李立帅副教授任教于香港城市大学数据科学学院，并荣誉隶属于机械工程系。 她的研究范畴属于智能交通系统和数据科学的跨学科领域。 她利用大规模运营数据研发统计分析及人工智能方法，用于航空安全管理和运营改进、空中交通管理，以及智能交通系统的监测预测和故障诊断。 最近，她在研究低空经济相关的无人机交通管理问题和基础设施挑战。
李教授在 2022和2023年被斯坦福-爱思唯尔指标（单年）评为全球前 2% 的被引用最多的学者之一。她担任“Transportation Research Part C: Emerging Technologies”、“Journal of Air Transport Management”、“Aerospace”和“International Journal of Reliability and Safety”的编委。 李教授是英国皇家航空学会（RAeS）会士，美国电气电子工程师学会（IEEE）高级会员。 她服务于国际运筹学和管理学研究协会（INFORMS），任航空应用分部（AAS）的副主席。 李教授于美国麻省理工学院航空航天系取得博士学位和理学硕士学位，以及复旦大学飞行器设计与工程取得工程学士学位。 她曾在麦肯锡公司任职和荷兰代尔夫特理工大学任教。
Awards and Achievements
- 2024 “Silver Medal at the 49th International Exhibition of Inventions of Geneva” The 49th International Exhibition of Inventions of Geneva.
- 2023 “Gold with Congratulations of Jury Award at the 3rd Asia Exhibition of Innovations & Inventions Hong ” International Federation of Inventors Association.
- 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.
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 :
20 Jun 2024
