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Silun Zhang is an Assistant Professor in the Department of Mathematics at KTH Royal Institute of Technology. He holds a Ph.D. degree in Optimization and Systems Theory from KTH, completed in 2019, under the supervision of Xiaoming Hu and Johan Karlsson. Prior to his current position, he was a Postdoctoral Associate Fellow at the MIT Laboratory for Information & Decision Systems (LIDS) in the Department of Electrical Engineering & Computer Science from 2019 to 2023. He has collaborated with renowned researchers such as Prof. Munther Dahleh and contributed to the MicroMasters Program in Statistics and Data Science at MIT as a course developer and instructor from 2021 to 2023. His research interests encompass nonlinear control, large-scale complex systems, incentive-driven algorithms, and risk-averse reinforcement learning. Zhang's work focuses on the modeling and control of large-scale systems through innovative distributed control optimization methods, moment-based techniques, and machine learning algorithms applied to opinion crowd dynamics. He actively seeks motivated Ph.D. students and postdocs to join his research team and invites interested candidates to reach out with their profiles.
KTH Royal Institute of Technology • Stockholm, Sweden
MIT Laboratory for Information & Decision Systems (LIDS) • Cambridge, MA, USA
Master's programs are organized under Schools; departments listed are units within these schools (e.g., EECS, ABE, CBH, ITM, SCI).