
Maryam Vahabi is currently a Senior Lecturer at MDU. She completed her Ph.D. at the University of Porto in Portugal in 2016. Her primary research focuses on deterministic communication in industrial applications, wireless communication, and industrial IoT systems. She has industry experience, having worked as a scientist at ABB Corporate Research, where she led two projects involving both academic and industrial participants at national and international levels. Additionally, her research explores time-sensitive networking (TSN) and dominance-based MAC protocols for time-critical applications.
Teaching activities:
1- Data Communication in Network I, distance course (DVA120)
2- Data Communication in Network II, distance course (DVA224)
I am primarily focused on research in the following areas: Deterministic communication, wireless communication, Internet of Things (IoT), programmable networks, particularly in the realm of Software-Defined Networking (SDN).
Modeling and Evaluating an Intelligent Health Monitoring System for Detecting Atrial Fibrillation (Mar 2026) Petter Nordin, Hossein Fotouhi, Miguel Leon Ortiz, Oana Cramariuc , Tiberiu Seceleanu, Maryam Vahabi International Journal of Network Dynamics and Intelligence (IJNDI)
Real-Time Inference for IIoT Using Distributed Low-Power Edge Clusters (Dec 2025) Dinesh Sah, Maryam Vahabi, Hossein Fotouhi World Forum on Internet of Things (WF-IoT'2025)
Federated learning at theedgeinIndustrial Internet of Things: Areview (Feb 2025) Dinesh Sah, Maryam Vahabi, Hossein Fotouhi Sustainable Computing: Informatics and Systems (SUSCOM)
Forte: Hybrid Traffic-Aware Scheduling for Mobile TSCH Nodes (Oct 2024) Iliar Rabet, Hossein Fotouhi, Mário Alves , Maryam Vahabi, Mats Björkman IEEE Conference on Local Computer Networks (LCN)
A Stochastic Network Calculus Model for TSCH Schedulers (Jun 2024) Iliar Rabet, Hossein Fotouhi, Mário Alves , Jaya Prakash Champati , James Gross , Maryam Vahabi, Mats Björkman IEEE Symposium on Computers and Communications (ISCC)
ACTOR: Adaptive Control of Transmission Power in RPL (Apr 2024) Iliar Rabet, Hossein Fotouhi, Mário Alves , Maryam Vahabi, Mats Björkman Sensors (MDPI Sensors)
Iliar Rabet
Mehrzad Lavassani (former)
Shunmuga Priyan Selvaraju