R2Microgrid: Resilient and Robust Microgrid Systems
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The R2Microgrid project focuses on developing network intrusion detection system solutions to improve threat detection and mitigation in critical energy systems. The project focuses on monitoring network traffic within microgrids to identify suspicious activities and potential security breaches. By analyzing incoming and outgoing data packets, it aims to detect anomalies, malicious patterns, and unauthorized access attempts, leveraging predefined rules and advanced machine learning algorithms. Microgrids leverage advanced technologies – such as smart grids, renewable energy sources, and energy storage systems – to create local energy networks.
| First Name | Last Name | Title |
|---|---|---|
| Masoud | Daneshtalab | Professor |
| Johan | Åkerberg | Adjunct Professor |
| Maryam | Vahabi | Senior Lecturer |
| Hossein | Fotouhi | Associate Professor,Docent |
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)
Hossein Fotouhi, Associate Professor,Docent
Email: hossein.fotouhi@mdu.seRoom: U1-138
Phone: +46 73 9607327
