Hossein Fotouhi, Associate Professor, Docent


Hossein Fotouhi is an Associate Professor at Mälardalen University (MDU), where he has been since 2015, initially joining as a Postdoctoral researcher. He obtained his PhD degree from University of Porto, Portugal in 2015, focusing on "Reliable Mobility Support in Low-Power Wireless Networks". During his doctoral studies, he contributed as a researcher at CISTER/INESC-TEC. His research interests include connectivity, sensor networks, wireless communication systems, and intelligent communication, with a specialization in integrating AI/ML algorithms into communication networks. Notably, he has secured several project fundings at MDU, including the prestigious VR starting grant, a highly competitive funding opportunity in Sweden.

Current projects and roles:

  • R2Microgrid (Resilient and Robust Microgrid Systems) project, under Resilient, Energy System Competence Center, co-funded by the Swedish Energy Agency and MDU, started Jan 2025. Role: project manager
  • GREENER (Intelligent energy management in connected construction sites), FFI-Vinnova, started in 2020, 4 years, partners: Volvo CE and VTI,  Role: project leader
  • PROVIDENT (Predictable Software Development in Connected Vehicles Utilising Blended TSN-5G Networks), FFI-Vinnova, started in 2020, 4 years, partners: HIAB and Arcticus,  Role: co-applicant, member
  • AutoFL (Cross-Layer Trusted Systems for Heterogeneous Federated Learning at Scale),  Role: co-applicant, member
  • ARRAY (Automation Region Research Academy),  Role: member

Past projects and roles:

  • MobiFog (mobility management in Fog-assisted IoT networks), VR starting grant project (started 2019, 4 years), project leader
  • FlexiHealth (flexible softwarized networks for digital healthcare), Prospekt KKS (started 2019, 2 years): 3 companies are involved (Alten, Ondosis, Accellrate), project leader
  • Health5G (Future eHealth powered by 5G), Celtic Next European project (started 2019, 3 years), co-applicant and WP leader
  • FiC (Future factories in the Cloud), member
  • ESS-H plus (Embedded Sensor Systems for Health Research Profile), KKS research profile (started 2019, 3 years), co-applicant, member


Teaching:

  • Course responsible of "Internet of Things, Data Communication and Security", DVA268, 2024.
  • Guest lecture at "Design of autonomous systems", DVA485, Feb 28, 2024.
  • Docent lecture on "Dependable Low-Power Wireless Communication" in Feb 27, 2024. 
  • Guest lecture at "Autonomous Vehicles", FLA433, 2023. 
  • Course responsible of "Internet of Things, Data Communication and Security", DVA268, 2023.
  • Teaching at "Introduction to the Internet of Things for the manufacturing industry", PPU322, 2023.
  • Teaching at "Industrial Internet of Things for Manufacturing Industry", PPU434, 2023.
  • SEMANTIC project summer school on "emerging models and trends for dynamic network slicing and resource virtualization". Talk on "mobility management solutions: from 5G to IoT networks", June 2022. 
  • Guest lecture at the Introduction Course of Networking Students (BSc), 2021 
  • Developing and teaching at IoT and Fog Computing course (Ph.D. level), 2019
  • Developing IIoT course (Master), 2019 
  • Teaching at Practical real-time control and embedded dynamic simulations (Master), 2019
  • Teaching at Wireless Communication (Bachelor), 2019
  • Teaching at Sensor Techniques (Master), 2017
  • Teaching at Autonomous Systems course (Master), 2019 and 2020 

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His research interests are Wireless Networks, Intelligent Wireless Communication, Sensor Networks, Mobile Computing, Edge Computing, Internet of Things, and Software Defined Networking.

He is currently involved in the following projects: (1) R2Microgrid, (2) RENEW, and (3) PROVIDENTHe was involved in many projects in the past, such as (1) MobiFog, (2) GREENER, and (3) ESS-H research profile, (4) ecare@home, (5) READY, (6) FiC, (7) Health5G, and (8) FlexiHealth

He published papers in several top notch venues, including EWSN, WFCS, ETFA, COMPSAC, HealthCom Conferences, and IEEE IoT, IEEE TMC, IEE Sensors, IEEE ACCESS, Elsevier Ad-hoc Networks, Elsevier COMCOM, MDPI Sensors, and MDPI JSAN journals.