Maryam Vahabi is currently Associated Senior Lecturer at MDU and Scientist at ABB Corporate Research. She completed her PhD at the University of Porto in Portugal in 2016. Her PhD thesis was on "Computing Aggregate Quantities in Large-Scale and Dense Sensor Networks". She was previously Researcher at the CISTER/INESC-TEC research center on real-time and embedded systems.
Teaching activities:
1- Data Communication in Network I, distance course (DVA120)
2- Data Communication in Network II, distance course (DVA224)
Current Services:
1- Area Editor at the Elsevier Ad hoc Networks Journal since May 2021
2- Student grant chair at the IEEE LCN 2022
My main research interests are wireless communication, sensor networks, Internet of Things, Cyber Physical Systems, and Fog Computing.
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)
Pushing IoT Mobility Management to the Edge: Granting RPL Accurate Localization and Routing (Jun 2021) Iliar Rabet, Shunmuga Priyan Selvaraju, Hossein Fotouhi, Mohammad Hassan Adeli, Maryam Vahabi, Ali Balador, Mats Björkman, Mário Alves World Forum on the Internet of Things (WF-IoT)
RPL-RP: RPL with Route Projection for Transversal Routing (Jun 2021) Iliar Rabet, Hossein Fotouhi, Maryam Vahabi, Mats Björkman, Mário Alves World Forum on the Internet of Things (WF-IoT)
Network Management in Heterogeneous IoT Networks (Jun 2021) Shunmuga Priyan Selvaraju, Ali Balador, Hossein Fotouhi, Maryam Vahabi, Mats Björkman International Wireless Communications and Mobile Computing conference (IWCMC 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)