Michael Patriksson

Michael Patriksson is a Professor of Applied Mathematics at Chalmers University of Technology, specializing in nonlinear optimization, stochastic programming, and maintenance scheduling. His research integrates theoretical advancements with applications in industrial engineering, energy systems, and transportation. He has contributed to over 160 publications and led 10 major projects, focusing on topics such as wind turbine maintenance, supply chain optimization, and blockchain-based transportation systems.

Key research interests include combinatorial optimization, variational inequalities, and algorithm design for real-world problems. Notable applied work spans predictive maintenance strategies, traffic equilibrium modeling, and resource allocation in aerospace manufacturing. His methods often address stochastic uncertainties and operational constraints, with practical implementations in industries like renewable energy and logistics.

Publications highlight contributions to maintenance optimization frameworks, hybrid machine-learning algorithms, and strategic traffic management. Collaborations with institutions like CIGRE and IEEE underscore his interdisciplinary impact. Current projects explore opportunistic maintenance models, blockchain applications in mobility, and sustainable infrastructure planning.