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1998 …2025

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Personal profile

Personal profile

Dr Seungjae LEE is a Professor of Transportation Planning in University of Seoul. He obtained PhD in Department of Civil Engineering, University College London in 1994, and worked as a Research Fellow in Department of Statistical Science, UCL, and Korea Transport Institute. He is the author of the TOP 1% SCI Journal and Top 100 Journal (based on SJR) such as Nature Scientific Reports, Science Advances and Journal of Cleaner Production. Over 200 peer reviewed papers have been published, including more than 100 SCI-level papers, considerable numbers of publications as Q1 journals. He is the Author of book chapters in Springer, Elsevier, Routeledge, ScienceDirect Procedia, and the ICE. He has found and served International Journal of Transportation as an Editor-in-Chief, (ESCI). He has also served several editorial boards of SCI journals such as Transportmetrica, International Journal of Sustainable Transportation and Proceedings of Municipal Engineering, Institution of Civil Engineering, and Oxford Energy Journal, Oxford University Press. He is currently working as the Head of the Integrated Cooperation Center of the Big Data and AI Research Institute. He is a recipient of the James Hill Prize for the best paper on Municipal Engineering in the Proceedings of the Institution of Civil Engineers, 2023 and a recipient of the Smeed Prize of the UTSG, 1995.

Research Interests

Prof Lee’s research directions are to seek and develop scientific approaches in order to make a better society by enhancing smart mobility systems. The papers he has published for his research directions cover a wide range of transport modeling approaches from conventional travel demand analysis to advanced dynamic modeling techniques, which include data modeling, statistical traffic estimation techniques, cell transmission and cellular automata techniques, genetic algorithms, simulated annealing, tabu search techniques, short-term forecasting techniques, neural networks, kalman filtering, time series analysis, fuzzy theory, mixed integer programming, simplicial decomposition algorithms, network design problems, stochastic assignment, discrete choice models, game theory, time window analysis, GIS, car navigation, bus network design, multi-criteria analysis, travel demand estimation using traffic counts, space syntax, traffic flow theory, reliability analysis, chaos theory, Bayesian estimation, pedestrian modeling, signal junction modeling, un-signal junction modeling, multiclass assignment, stability analysis, ITS research, land use and transportation, public transport related modeling techniques and policy related analysis.

Professional Experience

rofessor Seungjae LEE, University of Seoul is one of South Korea’s foremost transportation engineers, bringing over 30 years of experience in transport modelling, infrastructure evaluation, and smart mobility systems. He has led more than 100 national and international transport research projects and authored over 200 peer-reviewed publications, including in top journals such as Science Advances, Scientific Reports, and International Journal of Sustainable Transportation. His leadership and interdisciplinary research capacity make a cornerstone of sustainable transport research. As former Director of the Big Data and AI Research Center at the University of Seoul, Professor Lee has pioneered the use of AI-enhanced transport models and digital twins to support smart city planning. His work frequently informs national policy through his collaboration with the Ministry of Land, Infrastructure and Transport (MOLIT), Korea Transport Institute (KOTI), and Korea Rail Network Authority. He also serves as Editor-in-Chief of the International Journal of Transportation and is a recipient of the prestigious James Hill Prize (ICE, UK) for international excellence in transport research.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy
  • SDG 8 - Decent Work and Economic Growth
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 10 - Reduced Inequalities
  • SDG 11 - Sustainable Cities and Communities
  • SDG 12 - Responsible Consumption and Production
  • SDG 13 - Climate Action
  • SDG 15 - Life on Land

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