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 Associate Fellow of the HEA. In particular, I am the Leonardo Lecturer on a joint program (2019-2023) between Strathclyde and the security and defence company Leonardo UK.

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 Signal Processing, Neuromorphic Technologies, Machine Learning, and Embedded Systems. I am Director of the Neuromorphic Sensor Signal Processing Lab (NSSP, https://nssp.eee.strath.ac.uk) in the EEE Department, supervising a number of PhD students 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.

I welcome fully funded PhD applicants who would like to carry out research in Signal Processing, Neuromorphic Technologies, Machine Learning, and Embedded Systems.

A fully funded EPSRC ICASE 4-year PhD studentship, in collaboration with Leonardo UK, is currently available for UK nationals only (MORE INFO HERE).

Prizes and awards

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

More prizes and awards

Publications

Unsupervised spiking instance segmentation on event data using STDP features: Kirkland Paul, Manna Davide, Vicente Sola Alex, Di Caterina Gaetano; IEEE Transactions on Computers Vol 71, pp. 2728-2739 (2022); https://doi.org/10.1109/TC.2022.3191968
Simple and complex spiking neurons : perspectives and analysis in a simple STDP scenario: Manna Davide L, Vicente-Sola Alex, Kirkland Paul, Bihl Trevor J, Di Caterina Gaetano; Neuromorphic Computing and Engineering Vol 2 (2022); https://doi.org/10.1088/2634-4386/ac999b
Keys to accurate feature extraction using residual spiking neural networks: Vicente-Sola Alex, Manna Davide L, Kirkland Paul, Di Caterina Gaetano, Bihl Trevor; Neuromorphic Computing and Engineering Vol 2 (2022); https://doi.org/10.1088/2634-4386/ac8bef
Movement classification and segmentation using event-based sensing and spiking neural networks: Kirkland Paul, Di Caterina Gaetano; 2022 Sensor Signal Processing for Defence Conference, SSPD 2022 - Proceedings 11th International Conference in Sensor Signal Processing for Defence 2022 Sensor Signal Processing for Defence Conference, SSPD 2022 - Proceedings (2022); https://doi.org/10.1109/SSPD54131.2022.9896217
Hybrid attention mechanism for liver tumor segmentation in CT images: Gong Ming, Soraghan John, Di Caterina Gaetano, ZHAO Baixiang; 10th European Workshop on Visual Information Processing (2022)
An exploration of the optimal feature-classifier combinations for transradial prosthesis control: Douglas Fraser, Gover Harry, Docherty Cheryl, Shields Gordon, Leventi Konstantina, Di Caterina Gaetano; Engineering in Medicine and Biology Conference (2022)

More publications

Research interests

Neuromorphic 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

More professional activities

Projects

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-2023
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
N-Sea Phase 2: Automatic Annotation of Subsea Survey Video: Tachtatzis, Christos (Principal Investigator) Andonovic, Ivan (Co-investigator) Atkinson, Robert (Co-investigator) Di Caterina, Gaetano (Co-investigator) Michie, Craig (Co-investigator); 01-Jan-2018 - 30-Jan-2020

More projects

Address

Electronic and Electrical Engineering
Royal College

Location Map

View University of Strathclyde in a larger map