Dr Abbas Mehrabidavoodabadi

Assistant Professor

Department: Computer and Information Sciences

I am Assistant Professor in department of computer and information sciences and a member of CyberNets research group at Northumbria University Newcastle, UK. From September 2019 until April 2020, I was a Lecturer in computer science at Nottingham Trent University, UK. From 2017-2019, I was a Postdoctoral Researcher in distributed and mobile systems research group in department of computer science at Aalto University, Finland. I received my Ph.D in computer science from the school of electrical engineering and computer science at GIST, South Korea in 2017.

My research interests include optimization and resource allocation in mobile edge computing (MEC) networks, Internet of Things (IoT), scheduling and planning problems in smart grids/microgrids and vehicular edge/fog networking.

I am a member of IEEE, Fellow of UK Higher Education Academy (FHEA), and have been involved in projects funded by Innovate UK, and Horizon Europe research and innovation programme, Marie Skodowska-Curie.

My personal webpage can be found at the following link: https://sites.google.com/view/abbas-mehrabi

Email Abbas

Research Themes and Scholarly Interests

Optimization and resource allocation in mobile edge computing (MEC) networks, Internet of Things (IoT), scheduling and planning problems in smart grids/microgrids and vehicular edge/fog networking.

Key Publications

Please visit the Pure Research Information Portal for further information
Decentralized Greedy-Based Algorithm for Smart Energy Management in Plug-in Electric Vehicle Energy Distribution Systems, Mehrabidavoodabadi, A., Nunna, H., Dadlani, A., Moon, S., Kim , K. 6 May 2020, In: IEEE Access
Chameleon: Latency and Resolution Aware Task Offloading for Visual-Based Assisted Driving, Zhu, C., Chiang , Y., Mehrabidavoodabadi, A., Xiao, Y., Ylä-Jääski, A., Ji, Y. 17 Sep 2019, In: IEEE Transactions on Vehicular Technology
D2D-Enabled Collaborative Edge Caching and Processing with Adaptive Mobile Video Streaming, Mehrabidavoodabadi, A., Siekkinen, M., Illahi, G., Ylä-Jääski , A. 10 Jun 2019, 20TH IEEE INTERNATIONAL SYMPOSIUM ON A WORLD OF WIRELESS, MOBILE AND MULTIMEDIA NETWORKS
Energy-Aware QoE and Backhaul Traffic Optimization in Green Edge Adaptive Mobile Video Streaming, Mehrabidavoodabadi, A., Siekkinen, M., Ylä-Jääski , A. 1 Sep 2019, In: IEEE Transactions on Green Communications and Networking
QoE-Traffic Optimization Through Collaborative Edge Caching in Adaptive Mobile Video Streaming, Mehrabidavoodabadi, A., Siekkinen, M., Ylä-Jääski, A. 10 Oct 2018, In: IEEE Access
Low-Complexity Charging/Discharging Scheduling for Electric Vehicles at Home and Common Lots for Smart Households Prosumers, Mehrabidavoodabadi, A., Kim , K. Aug 2018, In: IEEE Transactions on Consumer Electronics
Edge Computing Assisted Adaptive Mobile Video Streaming, Mehrabidavoodabadi, A., Siekkinen, M., Ylä-Jääski, A. 1 Apr 2019, In: IEEE Transactions on Mobile Computing

Professional Activity

Please visit the Pure Research Information Portal for further information
Publication Peer-review: IEEE International Conference on Communications (Event) 2020
Publication Peer-review: IEEE Wireless Communications (Journal) 2020
Publication Peer-review: 2020 IEEE 91st Vehicular Technology Conference: VTC2020-Spring (Event) 2019
Publication Peer-review: IEEE Transactions on Mobile Computing (Journal) 2019
Publication Peer-review: Energies (Journal) 2019
Publication Peer-review: IEEE International Conference on Communications (Event) 2019
Publication Peer-review: IEEE Transactions on Broadcasting (Journal) 2019
Publication Peer-review: ACM Transactions on Multimedia Computing, Communications and Applications (Journal) 2019
Publication Peer-review: IEEE Access (Journal) 2018
Publication Peer-review: Pervasive and Mobile Computing (Journal) 2018

PGR Supervision

Amin Mansour Saatloo Sustainable Scheduling of Smart Energy Systems Integrated with Electric Vehicles Start Date: 01/10/2021
Efe Egbra A Bi-Level Game Theory Approach Considering the Consumers' and Retailers' Preferences Using Metaheuristic and MILP Techniques in Application to The Electricity Retail Market Start Date: 16/06/2023 End Date: 25/06/2024

Qualifications

Computer Science PhD February 24 2017
Associate Member of British Computer Society (BCS) - 2019
Fellow of the UK Higher Education Academy (FHEA)
Member of Institute of Electrical and Electronics Engineers (IEEE)
Postdoctoral Researcher, Aalto University, Finland - 2017

Our Staff

+

Northumbria Open Days

Open Days are a great way for you to get a feel of the University, the city of Newcastle upon Tyne and the course(s) you are interested in.

+

Research at Northumbria

Research is the life blood of a University and at Northumbria University we pride ourselves on research that makes a difference; research that has application and affects people's lives.