Maryam Vahabi, Associated Senior Lecturer


Maryam Vahabi is an assistant professor at MDH 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 a researcher at the CISTER/INESC-TEC research center on real-time and embedded systems. 

My main research interests are wireless communication, sensor networks, Internet of Things, Cyber Physical Systems, and Fog Computing. 

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Latest publications:

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)

A Comparative Analysis of Hybrid Deep Learning Models for Human Activity Recognition (Oct 2020)
Saedeh Abbaspour Gildeh, Faranak Fotouhi , Ali Sedaghatbaf, Hossein Fotouhi, Maryam Vahabi, Maria Lindén
Sensors Journal (Sensors)

Deep learning-based motion activity recognition using smartphone sensors (Jul 2020)
Saedeh Abbaspour Gildeh, Faranak Fotouhi , Hossein Fotouhi, Maryam Vahabi, Maria Lindén
International Conference on e-Health (e-Health'21)

PhD students supervised as assistant supervisor:

Iliar Rabet
Shunmuga Priyan Selvaraju