Mats Björkman i Professor in Computer Communication at Mälardalen University since 2001. He received his MSc in Computer Science in 1986 from Uppsala University, and his PhD in Computer Systems in 1993 also from Uppsala University. Previously, Mats has worked as a researcher at the Swedish Institute of Computer Science (SICS) in Stockholm, Sweden, and at the University of Arizona in Tucson, Arizona.
Mats Björkmans current research interests include computer network performance and predictability issues, and communication for embedded systems (sometimes called Cyber-Physical Systems (CPS) or Internet of Things (IoT). One current focus is methods and methodology for delay prediction, another current focus is reliability issues (safety, security) for wireless networks. Application areas include industrial automation and health applications.
Data-driven Method for In-band Network Telemetry Monitoring of Aggregated Traffic (Jan 2023) Mehrzad Lavassani, Johan Åkerberg, Mats Björkman IEEE 21st International Symposium on Network Computing and Applications (NCA)
Network Calculus Approach for Packet Delay Variation Analysis of Multi-Hop Wired Networks (Nov 2022) Rahul Nandkumar Gore, Elena Lisova, Johan Åkerberg, Mats Björkman Applied Sciences - Real-Time Systems and Industrial Internet of Things (ApplSci'22)
Embedded sensor systems for health - experiences from over nine years research in collaboration with industry and healthcare (Oct 2022) Maria Lindén, Annica Kristoffersson, Mats Björkman Medicinteknikdagarna 2022 (MTD 2022)
Performance Analysis of SDN-based network management in Content Centric Networks for WSN (Apr 2022) Shunmuga Priyan Selvaraju, Ali Balador, Hossein Fotouhi, Maryam Vahabi, Mats Björkman MRTC Report, Mälardalen Real-Time Research Centre (MRTC 2022)
SDMob: SDN-Based Mobility Management for IoT Networks (Jan 2022) Iliar Rabet, Shunmuga Priyan Selvaraju, Hossein Fotouhi, Maryam Vahabi, Mats Björkman, Mário Alves Journal of Sensor and Actuator Networks (MDPI JSAN)
Modeling and Profiling of Aggregated Industrial Network Traffic (Jan 2022) Mehrzad Lavassani, Johan Åkerberg, Mats Björkman Smart Manufacturing Networks for Industry 4.0 (ApplSci'22)
Adam Dunkels (former)
Andreas Johnsson (former)
Apala Ray (former)
Conny Collander (former)
Ewa Hansen (former)
Hans Bjurgren
Henrik Abrahamsson (former)
Iliar Rabet
Javier Ubillos (former)
Jonas Neander (former)
Kan Yu (former)
Mudassar Aslam (former)
Niclas Ericsson
Rahul Nandkumar Gore
Shahid Raza (former)
Shunmuga Priyan Selvaraju
Svetlana Girs (former)
Yurii Pavlenko
Björn Knutsson (former)
Bob Melander (former)
Daniel Brahneborg (former)
Gregory Koshmak (former)
Marcus Bergblomma (former)
Pablo Gutiérrez Peón
Stephan Karlsson (former)