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