Prof. Lishuai Li is an Associate Professor in the School of Data Science and Department of Mechanical Engineering (by coutersy) 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 data analytics to Artificial Intelligence) using large-scale operational data for airline safety management and operations improvement, air traffic management, and health monitoring of train systems. More recently, she has been working on traffic management problems and infrastructural challenges in drone delivery service and urban air mobility.
Prof. Li serves on the Editorial Board of "Transportation Research Part C: Emerging Technologies", "Journal of Air Transport Management", "Aerospace" and "International Journal of Reliability and Safety". She is the Vice Chair of the Aviation Applications Section (AAS) at the Institute for Operations Research and the Management Sciences (INFORMS), and a senior member of IEEE. She has been recognized in Stanford’s List of the World’s Top 2% Scientists in 2022 (Single Year) and 2023 (Single Year).
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.
Awards and Achievements
- 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 (Chair Elect), Aviation Applications Section, the Institute for Operations Research and the Management Sciences (INFORMS).
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 :
09 Apr 2024
