Mahdi Abbasi

Associate Professor

Umeå Universitet

Sweden

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Dr. Mahdi Abbasi is an Associate Professor at Umeå Universitet, Sweden. His research focuses on intelligent resource management, data anonymization in virtual power plants, and the optimization of IoT and edge computing systems. His recent publications explore areas such as 5G systems, AIoT-compatible technologies, and efficient resource control in wireless networks.

Articles (10)

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2021

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2021

Collaborators (2)

Seifeddine BEN ELGHALI

Aix-Marseille University

FRANCE

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Ahmed Solyman

Lecturer

Glasgow Caledonian University

UNITED KINGDOM

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Mahdi Abbasi

Research Interests

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Articles (10)

Intelligent resource management at the network edge using content delivery networks

Correction to: High-performance pseudo-anonymization of virtual power plant data on a CPU cluster

5G System Overview for Ongoing Smart Applications: Structure, Requirements, and Specifications

High-performance pseudo-anonymization of virtual power plant data on a CPU cluster

Layered methods for updating AIoT-compatible TCAMS in B5G-enabled WSNs

Efficient resource-aware control on SIP servers in 802.11n wireless edge networks

Efficient pipelined flow classification for intelligent data processing in IoT

An Intelligent SDN‐Based Clustering Approach for Optimizing IoT Power Consumption in Smart Homes

Optimal Distribution of Workloads in Cloud-Fog Architecture in Intelligent Vehicular Networks

Intelligent workload allocation in IoT–Fog–cloud architecture towards mobile edge computing

Collaborators (2)

Seifeddine BEN ELGHALI

Ahmed Solyman

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