Johan Åkerbergs current research interests are within the area of communication for embedded real-time systems in industrial applications.
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)
Mehrzad Lavassani
Niclas Ericsson
Rahul Nandkumar Gore
Yurii Pavlenko
Apala Ray (former)
Inna Valieva
Kan Yu (former)
Svetlana Girs (former)
Thesis Title | Status |
---|---|
Intrångsdetektering i processnätverk | finished |
Mobile Interaction with Safety Critical Systems: A feasibility study | finished |