Shiyu Wu is currently a PhD student at the Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada. He received his B.Eng. and M.Eng. degrees in School of Artificial Intelligence from Southwest University, China.
His current research interests center on Urban Mobility and Intelligent Collaborative Systems, with a specific focus on Mobility-on-Demand (MoD), Digital Twins (DT), and the integration of Large Language Models (LLMs) in urban planning. He leverages the E-CARGO modeling framework and Simulation-based Optimization (SBO) to address complex task allocation and coordination challenges in multi-agent systems.
Shiyu is a recipient of the prestigious FRQNT Doctoral Research Scholarship (2026). His research has been published in leading journals, including IEEE Transactions on Systems, Man, and Cybernetics: Systems, and he regularly presents his work at international conferences such as CSCWD. He is an active member of the E-CARGO research community, dedicated to advancing the efficiency and autonomy of next-generation mobility systems.
PhD, Information & Systems Engineering, 2025.09 to present
Concordia University
Master's in Computer Science and Technology, 2023.09-2025.06
Southwest University
Bachelor's in Intelligent Science and Technology, 2019.07-2023.06
Southwest University
Libo Zhang, Zhihang Yu, Shiyu Wu, Haibin Zhu, Yin Sheng*. Adaptive collaboration with training plan considering role correlation[J]. IEEE Transactions on Computational Social Systems, 2024, 11(1): 25-37.
Meiqiao Pan, Yanyan Fan, Shiyu Wu, Libo Zhang*. Group Role Assignment with Trust Between Agents[C]. Computer Supported Cooperative Work and Social Computing (ChineseCSCW 2023), 2024: 133-147.
Xiangjun Liu; Shiyu Wu; Ruisi Yang; Libo Zhang, GRATP Model Based on Comprehensive Training Cost: Solving Collaboration Problems in Real-World Scenario[J]. IEEE Systems, Man, and Cybernetics Magazine, 2024, 10(3): 14-21.