
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
- Improving classification accuracy in post-turbulence-mitigation tasks via perceptual loss optimization
- Vint David, Di Caterina Gaetano, Lamb Robert
- SPIE Sensors+Imaging 2025 (2025)
- An embedded visual-inertial navigation system for mobile platforms using an event-based camera
- Evans James, Ferguson Andrew, Foreman Shaun, Fraser Douglas, Kliskey Samuel, Mohseni Ehsan, Di Caterina Gaetano
- IEEE International Conference on Embedded Software and Systems (2025)
- Diversity-sensitive brain clocks linked to biophysical mechanisms in aging and dementia
- Coronel-Oliveros Carlos, Moguilner Sebastián, Hernandez Hernan, Cruzat Josephine, Baez Sandra, Medel Vicente, Cuadros Jhosmary, Santamaria-Garcia Hernando, Valdes-Sosa Pedro A, Lopera Francisco, Ochoa-Gómez John Fredy, González- Hernández Alfredis, Bonilla-Santos Jasmin, Gonzalez-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 Alberto, Huepe David, Di Caterina Gaetano, Soto-Añari Marcio, Gonzalez-Gomez Raul, Herrera Eduar, Abasolo Daniel, Kilborn Kerry, Rubido Nicolás, Clark Ruaridh, Herzog Rubén, Yerlikaya Deniz, Güntekin Bahar, Deco Gustavo, Prado Pavel, Parra Mario A, Orio Patricio, Tagliazucchi Enzo, Lawlor Brian, Ibanez Agustin
- Nature Mental Health (2025)
- 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
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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
- 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
- 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
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Contact
Dr
Gaetano
Di Caterina
Reader
Electronic and Electrical Engineering
Email: gaetano.di-caterina@strath.ac.uk
Tel: 548 4458