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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.
Shameer Faziludeen is a Post-Doctoral researcher within the CONNECT group in the School of Computer Science and Information Technology, University College Cork (UCC), Ireland. He received his PhD from National Institute of Technology Calicut, India in 2023, with the area of research being in machine learning applied to breast cancer detection.
I am a Postdoctoral Researcher within the Insight Centre for Data Analytics & the School of Computer Science and IT under the direction of Dr Paolo Palmieri. Before moving to Cork, I worked at C3iHub, IIT Kanpur as a Cryptanalyst. I received PhD in Mathematics from IIT Madras, India. My research interests include(s), MDS Codes, Cryptanalysis, Differential Privacy, and Fully Homomorphic Encryption (FHE). Institute of Technology Calicut, India in 2023, with the area of research being in machine learning applied to breast cancer detection.
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
Preeja Pradeep is a Postdoctoral Researcher at the School of Computer Science & IT, University College Cork, Ireland. She holds a PhD in Computer Science, M.Tech in Wireless Networks and Applications, and M.Sc in Computer Science from Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kerala, India. She has 10 years of technical experience working on various interdisciplinary national and internationally funded research projects in an academic R&D setting.
Dr. Mohamed Seliem is a postdoctoral researcher specializing in 5G networks, Wi-Fi integration, and Time-Sensitive Networking (TSN) for industrial and smart factory applications. His research focuses on 5G-LAN, network latency, reliability, and scalability, exploring how edge computing, AI, and TSN enhance next-generation networks. He has published on 5G and Wi-Fi for TSN, addressing key challenges in synchronization, mobility, and implementation complexity. Passionate about industrial automation and low-latency networking, Dr. Seliem works on advancing scalable and robust communication infrastructures.
