Mikael Johansson

Professor, IEEE Fellow
Division of Decision and Control Systems
School of Electrical Engineering and Computer Science
KTH - Royal Institute of Technology
mikaelj@kth.se,  +46-8-790 7436
"My research revolves around control and optimization of complex systems:
science and technology that help computers to make better decisions"

Recent publications

See the publications page or research page for more details, or my Google Scholar profile for the most recent updates.

Three-operator splitting with stale gradients for faster non-linear optimal transport

J Lindbäck and D Alvarez-Melis and M Johansson

AISTATS 2026

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Byzantine-robust federated learning with learnable aggregation weights

J Parsa and A H Daghestani and A M H Teixeira and M Johansson

ICLR 2026

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From promise to practice: realizing high-performance decentralized training

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

ICLR 2025

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Research areas

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

Fast and resource-efficient training algorithms

Distributed optimization icon
Distributed optimization

Distributed decision-making and optimization

Decision support icon
Decision support

Scheduling, bioinformatics, and sports.

Control systems icon
Complex control systems

Hybrid, networked and asynchronous control

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Wireless sensor networks

Energy-efficient systems with hard deadlines

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Communication

Optimized communication systems

Current research projects

We are currently running the following research projects
  • Resource-efficient optimization for machine learning, VR (individual grant)
  • Databound computing, WASP (Nest project KTH-Chalmers)
  • Communication-efficient decentralized intelligence for 6G, VR (research environment, LIU-KTH)
  • Turning the air into an AI computer, KAW foundation (project grant, LiU-KTH)