Mikael Johansson
Professor, Decision and Control Systems
Electrical Engineering and Computer Science
KTH - Royal Institute of Technology
mikaelj@kth.se,  +46-8-790 7436
"My research evolves around control and optimization of complex systems:
science and technology that help computers to make better decisions"
News. Funded by VR, and in cooperation with Erik Larsson at LiU and Mikael Skoglund at KTH, we are launching a new research project on ML and AI for the next generation wireless systems. We are now looking for a postdoc to join our efforts.
Recent publications
See the publications page or research page for more details, or my Google Scholar profile for the most recent updates.

From promise to practice: realizing high-performance decentralized training

Z. Wang, J. Zhang, X. Wu and M. Johansson

ICLR 2025

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An asynchronous bundle method for distributed learning problems

D. Cederberg, X. Wu, S. P. Boyd and M. Johansson

ICLR 2025

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Nonconvex federated learning on compact smooth submanifolds with heterogeneous data

J. Zhang, J. Hu, A. M.-C. So and M. Johansson

NeurIPS 2024

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Research
We are working on a range of problems in the general area of automatic control, optimization and autonomous decision-making.
Mountain
Machine learning

Fast and resource-efficient training algorithms

River
Distributed optimization

Distributed decision-making and optimization

Forest
Decision support

Scheduling, bioinformatics, and sports.

River
Complex control systems

Hybrid, networked and asynchronous control

River
Wireless sensor networks

Energy-efficient systems with hard deadlines

River
Communication

Optimized communication systems