³Ô¹Ïtv

Dr Gaetano Di Caterina

Reader

Electronic and Electrical Engineering

Contact

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 ³Ô¹Ïtv 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 ³Ô¹Ïtv, 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 ³Ô¹Ïtv.

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.

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Prize And Awards

Recipient
27/8/2022
Recipient
31/10/2017

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Publications

Syed Zafi Sherhan, , , , ,
IEEE International Conference on ICT Solutions for eHealth (2026)
Manna Davide Liberato, Bihl Trevor,
ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing (2026)
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, , 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, , 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)
, Zhang Malu, Liu Jundong
Frontiers in Neuroscience Vol 20 (2026)
, , , , 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)
, , Thomas Kevin,
Hawaii International Conference on System Sciences (2026)

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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

Participant
17/1/2025
Host
9/12/2024
Contributor
26/11/2018
Participant
10/10/2017

Projects

Di Caterina, Gaetano (Principal Investigator) Clemente, Carmine (Co-investigator) Musulin, Sven (Research Co-investigator)
01-Jan-2025 - 01-Jan-2029
Di Caterina, Gaetano (Principal Investigator)
01-Jan-2025 - 31-Jan-2029
Hurtado, Antonio (Principal Investigator) Di Caterina, Gaetano (Co-investigator) Porte Parera, Javier (Co-investigator)
01-Jan-2025 - 31-Jan-2029
Di Caterina, Gaetano (Principal Investigator) Clemente, Carmine (Co-investigator)
01-Jan-2025 - 30-Jan-2025
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
Di Caterina, Gaetano (Principal Investigator)
01-Jan-2023 - 31-Jan-2026

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Contact

Dr Gaetano Di Caterina
Reader
Electronic and Electrical Engineering

Email: gaetano.di-caterina@strath.ac.uk
Tel: 548 4458