Dr. LI Lishuai (李立帥)

Dr. Lishuai Li is an Associate Professor in the School of Data Science at 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 is working on traffic management problems and infrastructural challenges in drone delivery service and urban air mobility. She has been recognized as one of the Top 2% of the World’s Most Cited Scholars by the Stanford-Elsevier indicator (Single Year) in 2022.

Dr. Li serves on the Editorial Advisory Board of "Transportation Research Part C: Emerging Technologies", and the Editorial Board of "Aerospace" and "International Journal of Reliability and Safety". She is a guest editor for "Frontiers in Physics" on the Research Topic: Machine Learning in Social Complex Systems. She is the Vice Chair (Chair Elect) of the Aviation Applications Section at the Institute for Operations Research and the Management Sciences (INFORMS). She has been involved in the Applied Machine Learning Days (AMLD) conference at EPFL as an invited speaker in 2020 and as a co-organizer in 2022, both in the “AI & Aviation” Track.

Dr. 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. She worked at McKisney & Company's San Francisco Office as an Associate Consultant (2013 - 2014) and taught in the Faculty of Aerospace Engineering at Delft University of Technology in the Netherlands (2021 - 2022). She holds a private pilot license since 2012.

• Air Transport and Operations
• Intelligent Transportation Systems
• Computational Intelligence

• Vice Chair (Chair Elect) of the Aviation Applications Section (AAS), Institute for Operations Research and the Management Sciences  (INFORMS), 2023 - present

• 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)