Morteza Haghir Chehreghani

Morteza Haghir Chehreghani is a Professor of Artificial Intelligence and Machine Learning at the Data Science and AI Division of Chalmers University of Technology, Sweden. He leads the Machine Learning and Decision Making Lab and is affiliated with WASP, CHAIR, and ELLIS.

• Education: PhD in Computer Science (2014) from ETH Zurich under Prof. Dr. Joachim M. Buhmann
• Prior Roles: Staff Research Scientist at Naver Labs Europe (2014-2018)

Research spans Interactive Machine Learning, Sequential Decision Making, Federated Learning, Efficient Deep Learning, and Graph-Based Learning. Key application areas include Transport, Autonomous Systems, Energy, Drug Discovery, and Computational Biology.

Selected Publications (2020-2025) demonstrate expertise in Reinforcement Learning for drug design, Minimax Distance Measures for clustering, and Graph Neural Networks for trajectory analysis. Current work focuses on Combinatorial Bandits and Human-in-the-loop AI.

Teaching includes graduate courses like Advanced Topics in Machine Learning (DAT441/DIT41), Algorithms for Machine Learning (TDA233/DIT382), and PhD-level Advanced Reinforcement Learning. He has also taught Statistical Methods for Data Science and Theoretical Foundations of ML.

Patents include systems for Autonomous Vehicle Motion Control, K-NN Search via Minimax Distances, and Trip Prediction Algorithms. Collaborative projects involve Nature Communications (2022) and multiple ICML/CVPR publications.