Dr Gaetano Di Caterina

Senior Lecturer

Electronic and Electrical Engineering

Personal statement

I am a Lecturer in the Department of Electronic and Electrical Engineering, and Fellow of the HEA. In particular, I am the Leonardo Lecturer on a joint program (2023-2027) between Strathclyde and the security and defence company Leonardo UK Ltd.

Having completed a PhD in video analytics for smart surveillance, in the Centre for Signal and Image Processing, within the EEE Department at Strathclyde, my background and areas of expertise reside in signal, image and video processing, with particular emphasis on biosignal and imaging, and multi-dimensional signals. My current research interests are in Neuromorphic Engineering, Machine Learning and Deep Learning, Digital Signal Processing and Embedded Systems. I am Director of the Neuromorphic Sensor Signal Processing Lab in the EEE Department, supervising PhD students and PostDoc researchers working on various applications within these broad research areas. I am Principal Investigator and Co-Investigator on various projects in collaboration with national and international partners.

As part of my engagement with Leonardo UK, my role is to expand and strengthen the collaborative links between Strathclyde and Leonardo, in terms of research programs, undergraduate and Msc projects, and recruitment-oriented activities.

I am also Course Director of the MSc in Machine Learning and Deep Learning, at University of Strathclyde. This is a joint MSc program between the EEE Department and the Computer and Information Sciences Department at Strathclyde.

Fully funded PhD studentships, in collaboration with AFRL/AFOSR, available for UK nationals only

https://www.strath.ac.uk/studywithus/postgraduateresearchphdopportunities/engineering/electronicelectricalengineering/neuromorphicsensorsignalprocessingforspatio-temporaltrackinginlowsnr/

Expertise

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Prize And Awards

Best Paper Award: Recipient; 27/8/2022
IEEE Brain Data Bank Challenges and Competitions: Recipient; 31/10/2017

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Publications

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Publications

Editorial on the Research Topic: Theoretical Advances and Practical Applications of Spiking Neural Networks: Di Caterina Gaetano, Liu Jundong, Zhang Malu; Frontiers in Neuroscience Vol 18 (2024); https://doi.org/10.3389/fnins.2024.1406502
VCSEL-based photonic spiking neural networks for ultrafast detection and tracking: Robertson Joshua, Kirkland Paul, Di Caterina Gaetano, Hurtado Antonio; Neuromorphic Computing and Engineering Vol 4 (2024); https://doi.org/10.1088/2634-4386/ad2d5c
Exploring spiking neural networks (SNN) for low Size, Weight, and Power (SWaP) benefits: Bihl Trevor J, Farr Patrick, Di Caterina Gaetano, Kirkland Paul, Vicente Sola Alex, Manna Davide, Liu Jundong, Combs Kara; Proceedings of the 57th Hawaii International Conference on System Sciences 57th Annual Hawaii International Conference on System Sciences Proceedings of the Annual Hawaii International Conference on System Sciences, pp. 7561-7570 (2024)
Sign language recognition using spiking neural networks: Chaudhari Pranav, Vicente Sola Alex, Basu Amlan, Manna Davide L, Kirkland Paul, Di Caterina Gaetano; 2nd International conference on Machine Learning and Data Engineering, pp. 1-10 (2023)
Simulation of anisoplanatic turbulence for images and videos: Vint D, Di Caterina G, Kirkland P, Lamb RA, Humphreys D; Sensor Signal Processing for Defence 2023 (2023)
A boundary optimization scheme for liver tumors from CT images: Gong Ming, Soraghan John, Di Caterina Gaetano, Li Xiaoquan, Grose Derek; 31st European Signal Processing Conference (2023)

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Research

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Research Interests

Neuromorphic engineering and technologies
Machine Learning and Deep Learning
Image and video processing
Video analytics for surveillance
EMG signal processing
Speech processing
Medical image processing
DSP embedded systems

Professional Activities

Strathclyde researchers seek diagnostic tool for respiratory condition: Contributor; 26/11/2018
Faculty Robotics and Automation Users Group Discussion: Participant; 10/10/2017

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Projects

Neuromorphic sensor signal processing for spatio-temporal tracking in low SNR: Di Caterina, Gaetano (Principal Investigator); 01-Jan-2023 - 31-Jan-2026
NEU4SST – Neuromorphic Processing for Space Surveillance and Tracking: Di Caterina, Gaetano (Principal Investigator) Clemente, Carmine (Co-investigator) Macdonald, Malcolm (Co-investigator) Kirkland, Paul (Research Co-investigator); 15-Jan-2022 - 30-Jan-2023
Photonic Spiking Neural Networks for Ultrafast Detection and Tracking: Hurtado, Antonio (Principal Investigator) Di Caterina, Gaetano (Co-investigator); 01-Jan-2021 - 30-Jan-2023
Neuromorphic and spiking neural network applications: Di Caterina, Gaetano (Principal Investigator) Soraghan, John (Co-investigator); 01-Jan-2020 - 31-Jan-2024
Doctoral Training Partnership (DTP 2016-2017 University of Strathclyde) | Vint, David: Di Caterina, Gaetano (Principal Investigator) Soraghan, John (Co-investigator) Vint, David (Research Co-investigator); 01-Jan-2018 - 01-Jan-2022
Recurrent Respiratory Papillomatosis: Towards improved clinical diagnosis using analysis of voice recordings: Di Caterina, Gaetano (Principal Investigator) Cohen, Wendy (Co-investigator) Soraghan, John (Co-investigator); Recurrent Respiratory Papillomatosis: Towards improved clinical diagnosis using analysis of voice recordings; 01-Jan-2018 - 28-Jan-2019