Filip Rydin

I am a PhD student in the Division of Systems and Control at the Department of Electrical Engineering, Chalmers University of Technology, supervised by prof. Balazs Kulcsar and prof. Morteza Haghir Chehreghani.

My research focuses on developing learning-based methods for combinatorial optimization, with a particular emphasis on vehicle routing problems. I work at the intersection of graph neural networks and reinforcement learning, designing algorithms that can learn to solve complex routing and scheduling tasks more efficiently than traditional heuristics.

More broadly, I'm interested in graph-based learning and optimal control, exploring how modern machine learning techniques can tackle problems that have traditionally been the domain of operations research and classical optimization.

Interested in collaboration? I'm always open to discussing research ideas and potential projects. Feel free to reach out via email at filipry@chalmers.se.