Raouf Abozariba
Raouf’s primary research areas are wireless communications and networking, with a particular focus on developing robust wireless network monitoring and evaluation tools that exhibit high level of analytics automation and adaptability to network complexities. This includes the exploration of new techniques to measure the quality of experience of multimedia streaming and quality of service for computer vision applications.
He is also interested in quantifying the limits of NOMA (Non-Orthogonal Multiple Access) technology by studying its applications and capabilities in response to new and stringent user demands, including mMTC and URLLC.
Areas of Expertise
- Spectrum management
- Cognitive radio network
- Optimisation models
- Telecommunication network engineering
- Cloud computing
- Internet of Things (IoT)
Qualifications
- PhD in Electronics Engineering
- MSc in Electronics Engineering
- MSc in Research Methodology
- MSc in Learning and Teaching in Higher Education
- BSc in Electrical and Electronic Engineering
Memberships
- Member of the IEEE Society
- Fellow of Higher Education Academy (FHEA)
Teaching
- BSc Computer Networks and Security
- BSc Cyber Security
- MSc Advanced Computer Networks
Research
-
Wireless Communications (WiFi, Cellular)
-
Multimedia Streaming for Computer Vision
Postgraduate Supervision
- Almazi Bipon (Optimising Error Correction through Cooperative-AI)
- Ahmed Osman (AI Physical Security and Resilience)
- Md Shantanu (NOMA/LDM for Broadcasting Applications)
- Abida Perveen (Optimising Open-RAN Architecture through Transfer Learning) – Graduated 2021/2022
Publications
Journals
M. Idrisi, et al. (2022) Evaluating the Forest Ecosystem through a Semi-Autonomous Quadruped Robot and a Hexacopter UAV, MDPI, Sensors.
K. Naeem, R. Abozariba, et al. (2022) Mobility Support for MIMO-NOMA User Clustering in Next-Generation Wireless Networks, IEEE Transactions on Mobile Computing.
M. Moazam Azeem, R. Abozariba, et al. (2022) Exploiting Short Block and Concatenated Codes for Reliable Communications within the Coexistence of 5G-NR-U and Wi-Fi, IEEE Transactions on Vehicular Technologies.
R. Abozariba, et al. (2022) Secondary Spectrum Allocation Framework via Concurrent Auctions for 5G and Beyond Networks, Springer Wireless Networks.
A. Perveen, R. Abozariba, et al. (2021). Dynamic traffic forecasting and fuzzy-based optimized admission control in federated 5G-open RAN networks. Neural Computing and Applications.
R. Abozariba, K. Naeem, et al. (2019) NOMA-based Resource Allocation and Mobility Enhancement Framework for IoT in Next Generation Cellular Networks, IEEE Access.
M. Asaduzzaman, R. Abozariba and M. Patwary (2018). Dynamic Spectrum Sharing Optimization and Post-optimization Analysis with Multiple Operators in Cellular Networks, IEEE Transactions on Wireless Communications.
R. Abozariba, M. Asaduzzaman and M. Patwary (2017). Radio resource sharing framework for cooperative heterogeneous networks with dynamic overflow modelling, IEEE Transactions on Vehicular Technology.
R. Abozariba, M. Patwary, A. Soliman and M. Abdel-Maguid (2016). On the Location-Aware Cooperative Spectrum Sensing in Urban Environments, Jordanian Journal of Computers and Information Technology (JJCIT).
Proceedings
M. Ben-Farah, et al. IoT-based Cyber Incident Scenarios in the Maritime Industry: Risk Assessment and Mitigation Strategies. IEEE CSR, 31 July – 2 August, 2023, Venice, Italy.
J. Hayes, et al. FBA-SDN: A Federated Byzantine Approach for Blockchain-based Collaborative Swarm Intrusion Detection in Edge SDN. IEEE ICC, 28 May – 01 June, 2023, Rome, Italy.
A. Osman, R. Abozariba, et al. Detection of JavaScript Injection Eavesdropping on WebRTC Communications. IEEE WoWMoM, 14-17 June, 2022, Belfast, Northern Ireland.
A. Hussain, et al. Sensitivity of Robot-Aided Remote Object Detection in Forests under Variation of Light Illumination EDBT/ICDT Joint Conference, 29 March-1 April, 2022, virtual.
A. Osman, R. Abozariba, et al. Real-Time Object Detection with Automatic Switching between Single-Board Computers and the Cloud. IEEE SSCI 5-7 December, 2021, Orlando, Florida, USA.
A. Hussain, et al. Low Latency and Non-Intrusive Accurate Object Detection in Forests. IEEE SSCI 5-7 December, 2021, Orlando, Florida, USA.
A, Perveen, R. Abozariba, et al. Clustering-based Redundancy Minimization for Edge Computing in Future Core Networks. IEEE 5GWF 13 October, 2021, virtual.
A. Hussain, et al. Performance of MobileNetV3 Transfer Learning on Handheld Device-based Real-Time Tree Species Identification, IEEE ICAC 2-4 September, 2021, Portsmouth, UK.
R. Abozariba, K. Naeem, et al. Uncertainty-aware RAN Slicing via Machine Learning Predictions in Next-Generation Networks, IEEE VTC, 7-10 October, 2020, Victoria, Canada.
K. Naeem, R. Abozariba, et al. Towards the Mobility Issues of 5G-NOMA Through User Dissociation and Re-association Control, IEEE WoWMoM, 30 August, 2020, Cork, Ireland.
R. Abozariba, E. Davies, et al. Evaluating the real-world performance of 5G Fixed Wireless Broadband in Rural Areas, IEEE 5G World Forum (5GWF), 30 September, 2019, Dresden, Germany.
M. Razaak, et al. An Integrated Precision Farming Application based on 5G, UAV and Deep Learning technologies, International Conference on Computer Analysis of Images and Patterns (CAIP), 3-6 September, 2019, Salerno, Italy.
R. Abozariba, M. Asaduzzaman, et. al. Optimal Auctions in Oligopoly Spectrum Market with Concealed Cost, IEEE VTC, 27-30 August, 2018, Chicago, USA.
R. Abozariba, A. Amjad, et al. Optimized Resource Sharing for Federated Cloud Services with Desired Performance and Limited OpEx, IEEE Globecom 4-8 December, 2017, Singapore, Singapore.
A. Amjad, M. Sharma, R. Abozariba, et al. Autonomous Workload Balancing in Cloud Federation Environments with Different Access Restrictions, IEEE CCSNA 22-25 October, 2017, Orlando, FL, USA.
M. Patwary, R. Abozariba, et al. Multi-Operator Spectrum Sharing Models under Different Cooperation Schemes for Next Generation Cellular Networks, IEEE VTC, 24-27 September, 2017, Toronto, Canada.
M. Asaduzzaman, R. Abozariba, et al. Spectrum Sharing Optimization in Cellular Networks under Target Performance and Budget Restriction, IEEE VTC, 4-7 June, 2017, Sydney, Australia.
R. Abozariba, M. Patwary, et al. Location-aware cooperative spectrum sensing within cognitive radio networks, IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT), November 3, 2015, Amman, Jordan.
Book chapter
Islam, M.S., Abozariba, R., Asyhari, A.T., Patwary, M. and Matin, M.A., 2023. Feasibility of LDM to Serve User-IoT Pairs in the Future Wireless Network. In A Glimpse Beyond 5G in Wireless Networks (pp. 231-253). Springer, Cham.