Lijun Sun

Lijun Sun is an Associate Professor in the Department of Civil Engineering at McGill University. His research focuses on Transportation Engineering and TISED, with an emphasis on urban computing and smart transportation. He develops innovative methodologies and applications to address efficiency, resilience, and sustainability in urban transportation systems. His work integrates mobile sensing, machine learning, and big data to enhance intelligent transportation systems and support the development of smart cities. Sun teaches courses such as Transportation Engineering and Traffic Engineering and Simulation, and his research has been featured in prominent media outlets.

Lijun Sun is an Associate Professor in Civil Engineering at McGill University, specializing in Spatiotemporal Modeling, Bayesian Statistics, Transportation, and Probabilistic Machine Learning. His research focuses on developing advanced statistical and machine learning techniques to analyze and predict complex transportation systems. He has published extensively on topics such as traffic data imputation, metro network resilience, and urban mobility patterns. His work integrates Bayesian methods with tensor decomposition and graph neural networks to address challenges in spatiotemporal data analysis. Sun's research also explores the socio-economic impacts of transportation systems and the use of smart card data for mobility modeling.