Industrial PhD Student · KTH & Ericsson Research
Martin works on federated learning and beamforming in millimeter-wave (mmWave) radio networks — training models across distributed devices without collecting their data in one place.
Martin is an Industrial PhD student at KTH Royal Institute of Technology, in the division of Computer and Software Systems, and a Senior Researcher at Ericsson Research. He holds an MSc in Engineering Physics and Communication from Chalmers University of Technology, and spent more than a decade at Ericsson in various roles before joining Ericsson Research.
Advised by
- Seif Haridi (KTH, RISE)
- Šarūnas Girdzijauskas (KTH, RISE)
- Rickard Cöster (Ericsson AB, industry advisor)
- Daniel Gillblad (Recorded Future, AI Sweden)
Martin works inside live Radio Access Network deployments, automating AI functions rather than just prototyping them. His recent publications tackle a concrete obstacle there: how non-independent and identically distributed (non-IID) data across devices limits performance at scale.
Martin's PhD work is partially supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP), funded by the Knut and Alice Wallenberg Foundation.
