Dr. LI Lishuai (李立帅博士) PhD(MIT), MSc(MIT), BEng(Fudan University)



Assistant Professor


Contact Information Office: YEUNG-Y6618
Phone: (+852) 3442-4726
Email: lishuai.li@cityu.edu.hk

Research Interests Intelligent Transportation Systems
Air Transport and Operations
Data Mining
Computational Intelligence



Dr. Lishuai Li focuses on interdisciplinary research of intelligent transportation systems and data science. She has developed analytical methods using large-scale operational data for airline safety management and operations improvement, air traffic management, and health monitoring of train systems. She has recently developed path-finding methods for drone delivery networks to overcome infrastructural challenges in urban air mobility.
Dr. Li received a Ph.D. and an M.Sc. in Air Transportation Systems from the Department of Aeronautics and Astronautics at Massachusetts Institute of Technology (MIT). She obtained a B.Eng. in Aircraft Design and Engineering from Fudan University.


Publications Show All Publications Show Prominent Publications
Journal Lin, Yu. , Li, Lishuai*. , Ren, Pan. , Wang, Yanjun. & Szeto, W. Y. (in press). From Aircraft Tracking Data to Network Delay Model: A Data-Driven Approach Considering En-Route Congestion. Transportation Research Part C: Emerging Technologies.
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:https://doi.org/10.1016/j.trc.2021.103179
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


Conference Paper Hong, Ning. & Li, Lishuai. (Sep 2018). A Data-Driven Fuel Consumption Estimation Model for Airspace Redesign Analysis. 37th IEEE/AIAA Digital Avionics Systems Conference (DASC). Best Paper Award of Session: ATM Analytics. London. UK:AIAA/IEEE. doi:10.1109/DASC.2018.8569564
Li, Lishuai. , Gariel, Maxime. , Hansman, R. John. & Palacios, Rafael. (Oct 2011). Anomaly Detection in Onboard-Recorded Flight Data Using Cluster Analysis. Digital Avionics Systems Conference (DASC), 2011 IEEE/AIAA 30th. Seattle, WA. USA:IEEE/AIAA.




External Services
Public Service 2021 - Now, Editorial Advisory Board Member, Transportation Research Part C: Emerging Technologies.




Last update date : 28 Jul 2021