Johan Åkerberg, Adjunct Professor


Johan Åkerberg is a project manager and member of the management team at Addiva Elektronik AB, and an adjunct professor in data communication at Mälardalen University in Sweden. Johan Åkerberg received his MSc and PhD degree in Computer Science and Engineering from Mälardalen University, Sweden. He is mainly working with communication for embedded real-time systems in industrial automation. He has more than 25 years of experience in various local or global positions such as R&D project manager, industrial communication specialist, product manager and research area coordinator. Dr Åkerberg holds several patents in the area of wired/wireless industrial automation and is author or co-author of numerous scientific publications in refereed conferences and journals.

Johan Åkerbergs current research interests are within the area of communication for embedded real-time systems in industrial applications.

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Latest publications:

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)

CoSiWiNeT: A Clock Synchronization Algorithm for Wide Area IIoT Network (Dec 2021)
Rahul Nandkumar Gore, Elena Lisova, Johan Åkerberg, Mats Björkman
Applied Sciences - IoT-Enhancing the Industrial World (ApplSci'21)

Delay and Jitter Analysis in Industrial Control Systems: A Paper Mill Case Study (Jun 2021)
Rahul Nandkumar Gore, Elena Lisova, Johan Åkerberg, Mats Björkman
17th IEEE International Conference on Factory Communication Systems (WFCS) (WFCS'21)

CoSiNeT: A Lightweight Clock Synchronization Algorithm for Industrial IoT (May 2021)
Rahul Nandkumar Gore, Elena Lisova, Johan Åkerberg, Mats Björkman
IEEE International Conference on Industrial Cyber-Physical Systems (ICPS 2021)

Future Industrial Networks in Process Automation: Goals, Challenges, and Future Directions (Apr 2021)
Johan Åkerberg, Mats Björkman, Johan Furunäs-Åkesson, Maryam Vahabi, Rahul Nandkumar Gore, Mehrzad Lavassani, Thomas Lindh , Xiaolin Jiang , Jorgen Gade
Applied Sciences--Special Issue "Emerging Paradigms and Architectures for Industry 4.0 Applications" (ApplSci'21)

From Brown-Field to Future Industrial Networks, a Case Study (Apr 2021)
Mehrzad Lavassani, Johan Åkerberg, Mats Björkman
Applied Sciences - Digital Transformation in Manufacturing Industry Ⅱ (ApplSci'21)

PhD students supervised as main supervisor:

Mehrzad Lavassani
Niclas Ericsson
Rahul Nandkumar Gore
Yurii Pavlenko

PhD students supervised as assistant supervisor:

Apala Ray (former)
Inna Valieva
Kan Yu (former)
Svetlana Girs (former)