معرفی
Gaetano Di Caterina is a Senior Lecturer in the Department of Electronic and Electrical Engineering at the University of Strathclyde, within the Faculty of Engineering. He is a Fellow of the Higher Education Academy (HEA) and leads the Neuromorphic Sensor Signal Processing Lab as part of the Centre for Signal & Image Processing (CeSIP). He holds key academic roles, including Course Director for the MSc in Machine Learning and Deep Learning (joint with Computer and Information Sciences) and Adviser of Studies for Year 1 of the Computer and Electronic Systems undergraduate program. He is currently the Leonardo Lecturer (2023–2027) in a strategic partnership between Strathclyde and Leonardo UK Ltd.
- PG Certificate in Learning and Teaching in Higher Education, University of Strathclyde (2021–2024)
- Doctor of Engineering, University of Strathclyde (2009–2013)
- Master of Engineering, University of Strathclyde (2006–2009)
- Bachelor of Engineering, Università degli Studi di Napoli Federico II (2001–2005)
His research centers on neuromorphic engineering, machine learning, deep learning, digital signal processing, and embedded systems, with applications in surveillance, medical diagnostics, robotics, and space and underwater sensing. He applies these techniques to video analytics, EMG and speech processing, medical imaging, and event-based vision systems. His work often integrates spiking neural networks and neuromorphic sensors to improve robustness in low-SNR and real-time environments.
His recent publications reflect a strong trend in leveraging neuromorphic computing and deep learning for challenging real-world problems—such as turbulence mitigation in imaging, voice disorder classification, underwater and space object detection, and brain signal analysis. These works span computer vision, biomedical engineering, signal processing, and AI, demonstrating a highly interdisciplinary approach focused on practical, deployable solutions.
His scientific recognition includes:
- Best Paper Award, IEEE, 27 Aug 2022
- IEEE Brain Data Bank Challenges and Competitions, 31 Oct 2017
He is actively involved in research funding and supervision, serving as Principal Investigator on multiple projects funded by the Air Force Office of Scientific Research and Leonardo UK Ltd. He supervises PhD students and postdoctoral researchers in the Neuromorphic Sensor Signal Processing Lab. His professional activities include hosting academic visitors and participating in strategic AI workshops at Strathclyde. He is currently accepting PhD students and continues to expand his work in applied AI and neuromorphic technologies.
He leads the Neuromorphic Sensor Signal Processing Lab within the CeSIP research group, fostering innovation in sensor fusion, spiking neural networks, and real-time embedded AI systems. The lab engages in both theoretical and applied research, collaborating with industry and defense partners to develop next-generation intelligent sensing solutions.
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