Jaime Zabalza

Jaime Zabalza is a Lecturer and Strathclyde Chancellor's Fellow in the Department of Electronic and Electrical Engineering at the University of Strathclyde, Faculty of Engineering. He is actively affiliated with the Centre for Signal and Image Processing (CeSIP) and the Advanced Nuclear Research Centre (ANRC), where he contributes to cutting-edge research in artificial intelligence and signal processing for industrial applications, particularly in the nuclear sector.

His research interests include Artificial Intelligence, Machine Learning, Digital Signal Processing, Hyperspectral Imaging, and Software Engineering, with applications focused on solving real-world industrial challenges. He has led and contributed to multiple research projects in collaboration with industrial partners and institutions such as the European Space Agency.

The recent publications highlight a strong trend in applying AI and signal processing techniques to nuclear inspection, debris analysis, and hyperspectral imaging. These works span video denoising in high-radiation environments, classification of nuclear materials, and corrosion detection using advanced spectral and textural features—demonstrating a consistent focus on robust, real-world deployable AI tools for critical infrastructure.

• Strathclyde Global Talent Programme Chancellor's Fellowship Recipient
• Turing Network Development Award: Trailblazers Competition Recipient
• Lightning talk judges choice winner at Game Changers Innovation festival (Whitehaven, England)
• IEEE Brain Data Bank Challenges and Competitions Recipient (2018, 2017)
• IET V&I Best PhD Thesis Award (only one in UK per year)

Jaime Zabalza has served as a PhD examiner and convener, and is involved in multiple funded research projects. He has secured grants from organizations such as the European Space Agency and industry partners, focusing on video analytics, debris removal, and AI-based navigation. He supervises student research and contributes to knowledge exchange initiatives.

He is an active member of the Centre for Signal and Image Processing (CeSIP) and collaborates closely with the Advanced Nuclear Research Centre (ANRC). His work involves interdisciplinary teams and international partners, particularly in projects related to hyperspectral imaging, nuclear inspection, and autonomous systems.