Mats Björkman

Mats Björkman is a Professor at Mälardalen University's School of Innovation, Design and Engineering, affiliated with the Division of Networked and Embedded Systems. His roles include Faculty Programme Director, orientation representative, and subject representative within the School. His research focuses on IoT networks, industrial communication systems, network security, and embedded systems, with a strong emphasis on real-time networking, machine learning applications, and wireless sensor networks. He has contributed to projects involving clock synchronization in industrial IoT, secure heterogeneous networks, and cognitive radio technologies.

His work bridges academic research with industry collaboration, particularly in healthcare monitoring systems and industrial automation. Recent publications (2022–2024) highlight advancements in traffic-aware scheduling, stochastic network calculus models, and machine learning-driven frequency classification for cognitive radio. His research also addresses challenges in deterministic behavior analysis, jitter control, and secure IoT mobility management.

No scientific awards are explicitly mentioned in the provided texts. Advising and grants sections remain unspecified due to lack of data. He is part of the Division of Networked and Embedded Systems, actively involved in developing communication stacks and testbeds for industrial applications.