
Dr Gaetano Di Caterina
Reader
Electronic and Electrical Engineering
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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
- A biopsy/non-biopsy approach to voice disorder classification using deep learning
- Conway Frank, Di Caterina Gaetano, Perry Ross, Cohen Wendy, Wynne David M
- IEEE International Conference on ICT Solutions for eHealth (2025)
- 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, pp. 7258-7267 (2025)
- 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 (2025)
- https://doi.org/10.1016/j.neucom.2024.128657
- 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 Vol 30, pp. 3646-3657 (2024)
- https://doi.org/10.1038/s41591-024-03209-x
- A demonstration of vector symbolic architecture as an effective integrated technology for AI at the network edge
- Bent Graham, Davies Cai, Roig Vilamala Marc, Li Yuhua, Preece Alun, Di Caterina Gaetano, Vicente Sola Alex, Kirkland Paul, Pearson Gavin, Tutcher Benomy
- Proceedings of SPIE: The International Society for Optical Engineering Vol 13206 (2024)
- The transformative potential of vector symbolic architecture for cognitive processing at the network edge
- Bent Graham, Davies Cai, Roig Vilamala Marc, Li Yuhua, Preece Alun, Vicente Sola Alex, Di Caterina Gaetano, Kirkland Paul, Tutcher Benomy, Pearson Gavin
- Proceedings of SPIE: The International Society for Optical Engineering Vol 13206 (2024)
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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
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-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
- 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
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Contact
Dr
Gaetano
Di Caterina
Reader
Electronic and Electrical Engineering
Email: gaetano.di-caterina@strath.ac.uk
Tel: 548 4458