Dr Gaetano Di Caterina

Reader

Electronic and Electrical Engineering

Personal statement

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

Having completed a PhD in video analytics for smart surveillance, in the Centre for Signal & Image Processing (CeSIP), within the EEE Department at Strathclyde, my background and areas of expertise reside in signal, image and video processing. My current research interests are Neuromorphic Engineering, Machine Learning and Deep Learning, Digital Signal Processing and Embedded Systems.

I am Director of the Neuromorphic Sensor Signal Processing Lab, within the CeSIP group, supervising PhD students and PostDoc researchers working on various research projects and applications within these broad research areas.

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

And I am also Adviser of Studies for Year 1 of the undergraduate degree programme Computer and Electronic Systems, joint between EEE and CIS Departments.

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

The exposome of brain aging across 34 countries: Legaz Agustina, Moguilner Sebastian, Barttfeld Pablo, Cuadros Castro Jhosmary, Galván Rial Dante Sebastián, Migeot Joaquin, Farina Francesca R, Gonzalez-Gomez Raul, Salazar-Londoño Salomón, de Souza Azzi Tiago, Alcauter Sarael, Amoruso Lucia, Anghinah Renato, Bakr May, Behrens María Isabel, Bruno Martin A, Cardona Juan Felipe, Chen Christopher, Colliot Olivier, Custodio Nilton, D’Acremont Quentin, Debette Stéphanie, Dzianok Patrycja, Güntekin Bahar, Huguet Jordi, Jarne Cecilia, Joliot Marc, Karageorgiou Elissaios, Khedr Eman M, Koopowitz Sheri-Michelle, Kublik Ewa, Lee Jinkook, Aksman Leon, Lopez Susanna, Margaretic Paula, Matallana Diana, Matis Sophie, Miltiadous Andreas, Novotni Gabriela, Orio Patricio, Parra Mario A, Reppermund Simone, de Paula França Resende Elisa, Salum Giovanni Abrahão, Slachevsky Andrea, Ortiz Ana Luisa Sosa, Takada Leonel Tadao, Toh An Qi, Tzallas Alexandros, Wen Wei, Whelan Robert, Yener Görsev, Zegarra Valdivia Jonathan Adrián, Alexoudi Athanasia, Arshad Faheem, Atta Haisam, Avila-Funes Jose Alberto, Santos Jasmin Bonilla, Bruña Ricardo, Castelblanco-Toro Sandra Milena, Chino Vilca Brenda Nadia, Coronel-Oliveros Carlos, Crivello Fabrice, Cruzat Josephine, Dellavale Damián, Dhooge Catherina, Di Caterina Gaetano, Escudero Javier, Esquivias Farias Juan Manuel, Eze Laz Ude, Evans Tavia E, Farombi Temitope, Fernández Alberto, Fittipaldi Sol, Portillo Florencia, Martinic Gonzalo Forno, García Adolfo M, Garcia-Cordero Indira, Gaurav Rahul, Godoy Maria Eugenia, Gonzalez Campo Cecilia, González Hernández Alfredis, Hanoğlu Lütfü, Hazelton Jessica L, Herzog Rubén, Ikiz Burcin, Njamnshi Alfred Kongnyu, Landin-Romero Ramon, López María Eugenia, Maito Marcelo Adrián, Medel Vicente, Sepúlveda Juan Pablo Morales, Ochoa Gómez John Fredy, Ogbuagu Chukwuanugo, de Oliveira Maira Okada, Ozansoy Mehmet, Palma-Espinosa Javier, Hilal Saima, Zhou Juan Helen, Escudero Stefanie Danielle Piña, Pitman Julie Kay, Prado Pavel, Ramírez González Diego, Reyes Pablo, Santamaría García Hernando, Schröder Johannes, Sitt Jacobo Diego, Soliman Radwa Kamel, Soto-Añari Marcio, Thanissery Nithin, Ito Lucas Toshio, Tsuchida Ami, Tzourio Christophe, Yırıkoğulları Harun, Yokoyama Jennifer S, Aguillon David, Miller Bruce, Alladi Suvarna, Jiang Yang, Navarro Arcadi, Babiloni Claudio, Huepe Artigas David, Piguet Olivier, Sosa Pedro Antonio Valdes, Mostert Cyprian M, Tahmasian Masoud, Li Peng, Hu Kun, Genon Sarah, Stein Dan J, Maestú Fernando, Pievani Michela, Salama Mohamed, Brodaty Henry, Sachdev Perminder S, Lawlor Brian, Eyre Harris A, Miranda J Jaime, Baez Sandra, Tagliazucchi Enzo, Duran-Aniotz Claudia, Hernandez Hernan, Ibanez Agustin; Nature Medicine (2026); https://doi.org/10.1038/s41591-026-04302-z
Editorial : Theoretical advances and practical applications of spiking neural networks, Volume II: Di Caterina Gaetano, Zhang Malu, Liu Jundong; Frontiers in Neuroscience Vol 20 (2026); https://doi.org/10.3389/fnins.2026.1771268
Resonate-and-fire neurons meet EMG : enhancing gesture classification with spiking neural networks: Manna Davide Liberato, Bihl Trevor, Di Caterina Gaetano; 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing (2026)
A biopsy/non-biopsy approach to voice disorder classification using deep learning: Conway Frank, Perry Ross, Di Caterina Gaetano, Cohen Wendy, Wynne David M; 2025 IEEE Symposium on Computers and Communications (ISCC) IEEE International Conference on ICT Solutions for eHealth IEEE Symposium on Computers and Communications (ISCC) (2026); https://doi.org/10.1109/ISCC65549.2025.11325982
Encoding time series on an FPGA, with an efficient Izhikevich neuron implementation: Borrill Thomas, Crockett Louise, Thomas Kevin, Di Caterina Gaetano; Hawaii International Conference on System Sciences (2026)
Addressing the lack of neuromorphic data in low SNR scenarios: Perry Ross, Di Caterina Gaetano, Bihl Trevor J, Combs Kara; Hawaii International Conference on System Sciences (2026)

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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

Strategic Themes: Applied AI Workshop: Participant; 17/1/2025
Ian O'Neil: Host; 9/12/2024
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

Neuromorphic sensor signal processing for spatio-temporal tracking in low SNR | Musulin, Sven: Di Caterina, Gaetano (Principal Investigator) Clemente, Carmine (Co-investigator) Musulin, Sven (Research Co-investigator); 01-Jan-2025 - 01-Jan-2029
Neuromorphic processing applied to adaptive control for sensor performance optimisation: Di Caterina, Gaetano (Principal Investigator); 01-Jan-2025 - 31-Jan-2029
UKRI Centre for Neuromorphic Technologies - Photonics focus - Aston lead - Period 1: Hurtado, Antonio (Principal Investigator) Di Caterina, Gaetano (Co-investigator) Porte Parera, Javier (Co-investigator); 01-Jan-2025 - 31-Jan-2029
Leonardo Lab Phase 0 Activity: Di Caterina, Gaetano (Principal Investigator) Clemente, Carmine (Co-investigator); 01-Jan-2025 - 30-Jan-2025
Neuromorphic Sensor Fusion for Under Water Object Detection: Patil, Chaitanya (Principal Investigator) Di Caterina, Gaetano (Co-investigator); The project aims to develop a protocol of multimodal data collection through neuromorphic sensors for underwater object detection.
The underwater object detection is very tricky phenomenon due to variability of environmental
changes like wave motion, salinity as well as visibility under water. Various sensors with different
ranges and properties can be deployed to overcome the adverse environmental conditions for object detection. However, increasing number of sensors increases the data processing power, noise and uncertainty in the process rendering the data fusion from these sensors difficult. The proven neuromorphic methods introduce a paradigm shift in handling these sensor uncertainties through sensor fusion and increasing the autonomy of the data management and decision making within the operating envelope of all the sensors used for the object detection task.; 01-Jan-2024 - 01-Jan-2025
Neuromorphic sensor signal processing for spatio-temporal tracking in low SNR: Di Caterina, Gaetano (Principal Investigator); 01-Jan-2023 - 31-Jan-2026