About
Dr. Hasan Ahmed serves as a Senior Lecturer and Director of Partnership Development within the School of Computing and Communications at Lancaster University. Based at InfoLab21, he maintains dual affiliations with the Communication Systems research group and the Vice-Chancellor's Office, reflecting his academic and strategic partnership roles. His research bridges theoretical and applied domains across communications engineering and computer science.
His primary research areas include:
- Wireless Communications (VANET connectivity, MIMO-UWB channel modeling, TETRA systems)
- Cryptography (rank code cryptosystems, key pre-distribution for WSN)
- Network Security (electricity theft detection, intrusion detection systems)
- Machine Learning (CNN applications for security analytics)
- Image Processing (face recognition, segmentation algorithms)
- Smart Grids (energy efficiency, infrastructure security)
Publications from 2010-2023 reveal an evolution from foundational work in communication theory toward AI-driven security solutions. Early contributions (2010-2012) focus on ray tracing for UWB channel modeling and VANET traffic flow, while post-2017 research increasingly applies neural networks to face recognition and smart grid security. The 2021-2023 papers demonstrate high-impact integration of deep learning for electricity theft and intrusion detection in critical infrastructure.
Dr. Ahmed supervises PhD student Naif Alshammari and leads partnership development initiatives. His work with the Communication Systems group at InfoLab21 emphasizes collaborative projects in communication technologies and ICT security, though specific grant details remain unreported in the source materials. His administrative role as Director of Partnership Development indicates strategic leadership in institutional collaborations beyond core academic duties.
He is embedded within Lancaster University's InfoLab21 ecosystem, contributing to the Communication Systems research group's focus on next-generation networks, IoT security, and wireless infrastructure. This environment supports his interdisciplinary work spanning electrical engineering and computer science frameworks.
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