Dr Muheeb Ahmed
Job Title
- Phone
- +44 (0)1473 338000
- m.ahmed4@uos.ac.uk
- School/Directorate
- School of Business, Arts, Social Sciences and Technology
- Muheeb Ahmed ORCID
-
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Dr Olanrewaju Muheeb Ahmed is a Senior Lecturer in Computing and Course Leader within the School of Business, Arts, Social Sciences and Technology at the University of Suffolk. Based at the university’s Waterfront Campus in Ipswich, Dr Ahmed holds a PhD in Electronic Engineering from the University of York, a Postgraduate Developing Solutions Scholar at the University of Nottingham, and a BSc (Hons) in Electrical and Electronics Engineering. He is a Fellow of the Higher Education Academy (FHEA). His academic and scholarly focus centers on advanced data networking, cellular vehicle-to-everything (C-V2X) communications, Multi-Access Edge Computing (MEC), and low-power wireless IoT architectures.
Dr Ahmed bridges system engineering principles with applied technical instruction across undergraduate and postgraduate computing programs. In addition to leading core academic offerings, he contributes to the university’s strategic operations at the DigiTech Centre at Adastral Park, delivering specialist modules to degree apprenticeships—including programs for BT. His professional focus spans driving high-quality curriculum delivery, establishing industry-aligned Knowledge Transfer Partnerships (KTPs), and fostering enterprise collaborations to address real-world technological challenges.
Academic Leadership: Course leadership, curriculum development, and module design across undergraduate (BSc) and postgraduate (MSc) computing degree pathways.
Core Disciplines: Data Communications, Software Development and Operations, Mobile and Wireless Networks, IoT Systems Engineering, and Project Management.
Specialist Delivery: Industry-aligned higher education for degree apprenticeships at the DigiTech Centre (Adastral Park).
Applied Instruction: Practical simulation environments, embedded hardware integration, and cloud network design.
Teaching on/contributing to:
Advanced Mobile and Internet Technology
Introduction to Networking
Projects Management and Professional Development
Software Development and Operations
Foundations of Programming and Cybersecurity
Research Focus:
Dr. Olanrewaju Muheeb Ahmed’s research operates at the intersection of Cellular Vehicle-to-Everything (C-V2X) communications, Multi-Access Edge Computing (MEC), wireless system security, and next-generation 5G/6G networks. His work addresses critical operational challenges in latency, dynamic spectrum allocation, and physical/network layer security across resource-constrained vehicular nodes and IoT ecosystems. By combining analytical modeling, signal processing, and distributed machine learning, his research delivers resilient, high-throughput, and energy-efficient architectures for autonomous transport, smart infrastructure, and connected mobility.
Research Interests:
Distributed Machine Learning in Vehicular Networks: Federated learning frameworks, privacy-preserving edge intelligence, and resource exploitation algorithms for Internet of Vehicles (IoV).
Wireless & IoT Security: Security protocols and privacy frameworks for resource-constrained IoT devices, physical layer security, dynamic authentication, and threat mitigation in C-V2X and edge environments.
Vehicular Communication & C-V2X Networks: Heterogeneity management, Mode 4 spectrum sharing, IEEE 802.11bd coexistence, and resource-aware k-selection models for autonomous transportation.
Edge & Cloud Computing Architectures: Multi-Access Edge Computing (MEC) integration, multi-hop split learning, and latency optimization for real-time vehicular and smart city applications.
Non-Terrestrial & Next-Generation 6G Networks: High-Altitude Platform (HAP) assisted vehicular connectivity, UAV-enabled wireless powered networks, and millimeter-wave (mmWave) coverage analysis.
Supervision:
Lead Industrial Supervisor: EPSRC Industrial Doctoral Landscape Award (IDLA) PhD Studentship in Federated-Learning-Based Resource Exploitation in Internet of Vehicles (In partnership between Dyson and Durham University Department of Computer Science).
Undergraduate & Postgraduate Supervision: Extensive track record of supervising multiple BSc and MSc research dissertations and practical projects, spanning both fundamental academic investigations and industry-led engineering initiatives.
Selected Key Publications & Contributions
Ahmed, O. M., & Popoola, K. (2026). Low-Power Wireless Systems for IoT and Edge Computing (Chapter 8). In A. Musa, A. L. Imoize, & C.-C. Lee (Eds.), Handbook of Sustainable Wireless Communication Systems: Innovations and Applications (pp. 202–259). CRC Press / Routledge.
Popoola, K., Ahmed, M., Nicholson, S., Narayanagari, S. P., & Ajani, A. (2026). Integrated resource and trajectory optimization for IoT-enabled multi-UAV wireless powered communication networks. Journal of Information and Telecommunication, 1–22.
Ahmed, O., Grace, D., Tu, W., & Popoola, K. (2025). Re-Clustering for High-Performance Metaverse in Vehicular Networks. International Conference on Metaverse Computing, Networking and Applications.🔗 Link via Google Scholar
Popoola, K., Grace, D., Clarke, T., Ahmed, M., & Nicholson, S. (2025). Maximising Data Rate in HAP Assisted Cooperative Vehicular Networks with Optimised Relay Selection. Telecommunication Systems, 88(3), 97.
Ahmed, O., Grace, D., & Popoola, K. (2024). Towards a Resource-Aware K-Selection Model for Optimizing V2X Communication in Autonomous Vehicles. VEHICULAR 2024: The Thirteenth International Conference on Advances in Vehicular Systems, Technologies and Applications.
Popoola, K., Grace, D., Clarke, T., & Ahmed, M. (2022). An Iterative k-means++ and Ant Colony Clustering Scheme for Vehicular Networks. 2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development, 1–6.
Ahmed, M., Buhari, R. A., & Musa, A. (2019). Impact of household construction materials on Wi-Fi signal. 2019 2nd International Conference of the IEEE Nigeria Computer Chapter, 1–8.