I am a Lecturer in Computer Science and Data Science at York St John University, where I serve as a Module Director, Seminar Lead, Co-Lead of the Unit of Assessment, and supervisor for postgraduate and research students. I hold a PhD in Computer Science and have over a decade of experience in teaching and research. My expertise includes memristor-based neural networks, neuromorphic computing, memristive memory technologies, nanotechnology, artificial intelligence, machine learning, image processing, and advanced AI hardware design.
My research focuses on leveraging memristor technology to develop low-power, high-performance neural network architectures that address key challenges in real-time data processing and energy efficiency. I have extensive experience in both the theoretical and applied dimensions of AI, with publications in leading journals and conferences.
A key area of my work is the integration of memristor-based systems with AI algorithms for low-power intelligent sensing, neuromorphic computing, and advanced AI hardware. In my current role, I am actively involved in teaching, mentoring, and supporting students in AI, ML, and related fields. My work reflects an innovative and interdisciplinary approach to emerging AI technologies and intelligent hardware systems.
