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 programme (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 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.

Fully funded PhD studentship in collaboration with the US Air Force Research Laboratory

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

Spiking Neural Networks for event-based action recognition : a new task to understand their advantage: Vicente-Sola Alex, Manna Davide L, Kirkland Paul, Di Caterina Gaetano, Bihl Trevor J; Neurocomputing Vol 611 (2024); https://doi.org/10.1016/j.neucom.2024.128657
An approach to time series forecasting with derivative spike encoding and spiking neural networks: Manna Davide Liberato, Di Caterina Gaetano, Vicente Sola Alex, Kirkland Paul; Proceedings of the 58th Annual Hawaii International Conference on System Sciences, HICSS 2025 58th Hawaii International Conference on System Sciences Proceedings of the Annual Hawaii International Conference on System Sciences (2024)
Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations: Moguilner Sebastian, Baez Sandra, Hernandez Hernan, Migeot Joaquín, Legaz Agustina, Gonzalez-Gomez Raul, Farina Francesca R, Prado Pavel, Cuadros Jhosmary, Tagliazucchi Enzo, Altschuler Florencia, Maito Marcelo Adrián, Godoy María E, Cruzat Josephine, Valdes-Sosa Pedro A, Lopera Francisco, Ochoa-Gómez John Fredy, Hernandez Alfredis Gonzalez, Bonilla-Santos Jasmin, Gonzalez-Montealegre Rodrigo A, Anghinah Renato, d’Almeida Manfrinati Luís E, Fittipaldi Sol, Medel Vicente, Olivares Daniela, Yener Görsev G, Escudero Javier, Babiloni Claudio, Whelan Robert, Güntekin Bahar, Yırıkoğulları Harun, Santamaria-Garcia Hernando, Lucas Alberto Fernández, Huepe David, Di Caterina Gaetano, Soto-Añari Marcio, Birba Agustina, Sainz-Ballesteros Agustin, Coronel-Oliveros Carlos, Yigezu Amanuel, Herrera Eduar, Abasolo Daniel, Kilborn Kerry, Rubido Nicolás, Clark Ruaridh A, Herzog Ruben, Yerlikaya Deniz, Hu Kun, Parra Mario A, Reyes Pablo, García Adolfo M, Matallana Diana L, Avila-Funes José Alberto, Slachevsky Andrea, Behrens María I, Custodio Nilton, Cardona Juan F, Barttfeld Pablo, Brusco Ignacio L, Bruno Martín A, Sosa Ortiz Ana L, Pina-Escudero Stefanie D, Takada Leonel T, Resende Elisa, Possin Katherine L, de Oliveira Maira Okada, Lopez-Valdes Alejandro, Lawlor Brian, Robertson Ian H, Kosik Kenneth S, Duran-Aniotz Claudia, Valcour Victor, Yokoyama Jennifer S, Miller Bruce, Ibanez Agustin; Nature Medicine (2024); https://doi.org/10.1038/s41591-024-03209-x
Time series forecasting via derivative spike encoding and bespoke loss functions for SNNs: Manna Davide Liberato, Vicente-Sola Alex, Kirkland Paul, Bihl Trevor Joseph, Di Caterina Gaetano; Computers Vol 13 (2024); https://doi.org/10.3390/computers13080202
Brain health in diverse settings : how age, demographics and cognition shape brain function: Hernandez Hernan, Baez Sandra, Medel Vicente, Moguilner Sebastian, Cuadros Jhosmary, Santamaria-Garcia Hernando, Tagliazucchi Enzo, Valdes-Sosa Pedro A, Lopera Francisco, OchoaGómez John Fredy, González Hernández Alfredis, Bonilla-Santos Jasmin, González-Montealegre Rodrigo A, Aktürk Tuba, Yıldırım Ebru, Anghinah Renato, Legaz Agustina, Fittipaldi Sol, Yener Görsev G, Escudero Javier, Babiloni Claudio, Lopez Susanna, Whelan Robert, Fernández Lucas Alberto A, García Adolfo M, Huepe David, Di Caterina Gaetano, Soto-Añari Marcio, Birba Agustina, Sainz-Ballesteros Agustín, Coronel Carlos, Herrera Eduar, Abasolo Daniel, Kilborn Kerry, Rubido Nicolás, Clark Ruaridh, Herzog Ruben, Yerlikaya Deniz, Güntekin Bahar, Parra Mario A, Prado Pavel, Ibanez Agustin; NeuroImage Vol 295 (2024); https://doi.org/10.1016/j.neuroimage.2024.120636
Bi-modal accuracy distribution in quantisation aware training of SNNs : an investigation: Pannir Selvam Durai Arun, Wilmshurst Alan, Thomas Kevin, Di Caterina Gaetano; SPIE Sensors + Imaging Artificial Intelligence for Security and Defence Applications II (2024)

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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 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-Sep-2024 - 01-Jan-2025
Neuromorphic sensor signal processing for spatio-temporal tracking in low SNR: Di Caterina, Gaetano (Principal Investigator); 01-Nov-2023 - 31-Oct-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-Jun-2022 - 30-Apr-2023
Photonic Spiking Neural Networks for Ultrafast Detection and Tracking: Hurtado, Antonio (Principal Investigator) Di Caterina, Gaetano (Co-investigator); 01-Nov-2021 - 30-Mar-2023
Neuromorphic and spiking neural network applications: Di Caterina, Gaetano (Principal Investigator) Soraghan, John (Co-investigator); 01-Aug-2020 - 31-Jul-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-Aug-2018 - 01-Jul-2022