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Ahmed Abdelreheem is a Postdoctoral Researcher at University College Cork (UCC), Ireland. He has previously held positions at various institutions, including South Valley University, the Arab Academy for Science and Technology, EELU, and the Aswan Wireless Communications Research Center at Aswan University. He earned his Ph.D. (2019) and M.Sc. (2015) in Electronics and Communication Engineering from Aswan University. His research focuses on the design and optimization of wireless communication systems, with expertise in 6G, 5G, D2D, Drones and millimeter-wave communications, and the application of artificial intelligence (AI) in wireless networks and healthcare including PPG and EEG signals. Abdelreheem has extensive experience in both academia and industry, having worked as a Senior Wireless Communication Engineer with leading mobile operators, including Telecom Egypt and Orange. He also serves as a technical reviewer for several journals and conferences, including but not limited to, IEEE Trans. on Vehicular Technology, IEEE Communications Letters, IEEE Access, and Wireless Personal Communications.
Muhammad Yeasir Arafat is currently a Senior Postdoctoral Fellow at the School of Computer Science and Information Technology at University College Cork, Ireland. Prior to this role, he was a Research Professor at Chosun University, South Korea. He also held the position of Assistant Professor in the Department of Computer Engineering, Chosun University, South Korea. Dr. Arafat received his Ph.D. from Chosun University, South Korea in 2020. As a recognition of his academic excellence, he was awarded the Minister’s Award from the Ministry of Education, South Korea, in 2019.
I am a Research Support Officer working on the Collaborative edge-cLoud continuum and Embedded AI for a Visionary industry of thE future (CLEVER) Project. My work on this project explores security applications and remifications of cloud-enabled sensor networks.
In the course of my research career, I have investigated a variety of related topics through an optimisation perspective including: home energy usage, smart buildings, transport, vehicular technologies, drones and public safety. The common theme in my work has been synthesising real-time data from a variety of sources in pursuit of positive outcomes in energy, safety and security.
My PhD thesis is titled: "Integration of Micro- and Macroscopic Models for Pedestrian Evacuation Simulation" conducted as part of the Nembes Network Embeded Systems project, and I received my doctorate in 2014.
Research interests
Indoor and outdoor wireless localisation
Geographic information systems (GIS)
Building and facilities security and safety technologies
Automated drone flight planning for search and rescue applications
Multi-agent pedestrian simulations
Constraint-based optimisation of home appliance energy use for homes with integrated sensing
Constraint-based medicine prescription expert systems
Audience engagement analysis in commercial advertising by exploiting heterogeneous datasets
Dr. Hamza Riaz is a senior postdoctoral fellow at the School of Computer Science and Information Technology, University College Cork, Ireland. Previously, he served as a postdoctoral fellow at the School of Electronic Engineering, Dublin City University, Ireland, funded by the Insight Research Ireland Centre for Data Analytics. He completed his PhD in Computing (2024) at Dublin City University as part of the SFI Centre for Research Training in Machine Learning (ML-Labs). He also holds a master’s degree in biomedical engineering from Gachon University Medical Campus in Incheon, South Korea (2020). Dr. Hamza’s research focuses on domain generalisation and adaptation in machine learning and deep learning, model pruning & optimisation, generative AI, diffusion models, vision-language models, and 3D computer vision.
Dr. Ita Ryan is a Senior Postdoctoral Researcher at the School of Computer Science & IT, University College Cork, Ireland. She holds a PhD in Computer Science from UCC, and an MSc in Applied Computing from TUD. She has extensive software development experience, having worked with multiple technologies in multiple different industries. Dr. Ryan is on the organising committee of the International Workshop on Engineering and Cybersecurity of Critical Systems (EnCyCriS). She is currently researching moving target defense in the context of adversarial robustness.
Dr. Yusuf Sani is currently a Senior Research Coordinator for the gVid Project at the nasc research Centre in the School of Computer Science and IT in UCC. He earned his PhD in Computer Science from Lancaster University in 2017. He also holds an M.Sc. in Distributed Computing from Universiti Putra Malaysia and a B.Sc. (Hons.) in Computing and Information Systems from University of London. Prior to his current role in research, he worked with leading global companies such as Dell Technologies and Mastercard.
Dr. Mohamed Seliem is a senior postdoctoral researcher specializing in next-generation communication networks, with a focus on 5G, Wi-Fi integration, and Time-Sensitive Networking (TSN) for industrial automation and smart factory applications.
Beyond 5G and TSN, Dr. Seliem has also investigated edge computing, AI-driven network optimization, and positioning technologies, contributing to more resilient and adaptive communication infrastructures. He has published extensively on the design and evaluation of reliable low-latency networking architectures, advancing the integration of industrial IoT, automation, and cyber-physical systems.
Passionate about bridging theory and practice, he works on enabling scalable, robust, and future-proof networks that meet the stringent requirements of critical industrial applications.
I am currently a Research Assistant within the nasc research Centre in the School of Computer Science and Information Technology at University College Cork, Ireland. I completed a PhD in Applied Cryptography at the School of Computer Science, UCC (2025-26) and a master's degree in information security (2020). My research focuses on designing classical and post-quantum cryptographic security protocols (Signature/Key Exchange) while improving performance and efficiency for real-world applications.
