Doctor Gaetano Di Caterina
Reader
Electronic and Electrical Engineering
Personal statement
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.
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Prize And Awards
- Recipient
- 27/8/2022
- Recipient
- 31/10/2017
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Publications
- Legaz Agustina, Moguilner Sebastian, Barttfeld Pablo, Cuadros Castro Jhosmary, Galv谩n Rial Dante Sebasti谩n, Migeot Joaquin, Farina Francesca R, Gonzalez-Gomez Raul, Salazar-Londo帽o Salom贸n, de Souza Azzi Tiago, Alcauter Sarael, Amoruso Lucia, Anghinah Renato, Bakr May, Behrens Mar铆a Isabel, Bruno Martin A, Cardona Juan Felipe, Chen Christopher, Colliot Olivier, Custodio Nilton, D鈥橝cremont Quentin, Debette St茅phanie, Dzianok Patrycja, G眉ntekin 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 Fran莽a Resende Elisa, Salum Giovanni Abrah茫o, Slachevsky Andrea, Ortiz Ana Luisa Sosa, Takada Leonel Tadao, Toh An Qi, Tzallas Alexandros, Wen Wei, Whelan Robert, Yener G枚rsev, Zegarra Valdivia Jonathan Adri谩n, Alexoudi Athanasia, Arshad Faheem, Atta Haisam, Avila-Funes Jose Alberto, Santos Jasmin Bonilla, Bru帽a Ricardo, Castelblanco-Toro Sandra Milena, Chino Vilca Brenda Nadia, Coronel-Oliveros Carlos, Crivello Fabrice, Cruzat Josephine, Dellavale Dami谩n, Dhooge Catherina, , Escudero Javier, Esquivias Farias Juan Manuel, Eze Laz Ude, Evans Tavia E, Farombi Temitope, Fern谩ndez Alberto, Fittipaldi Sol, Portillo Florencia, Martinic Gonzalo Forno, Garc铆a Adolfo M, Garcia-Cordero Indira, Gaurav Rahul, Godoy Maria Eugenia, Gonzalez Campo Cecilia, Gonz谩lez Hern谩ndez Alfredis, Hano臒lu L眉tf眉, Hazelton Jessica L, Herzog Rub茅n, Ikiz Burcin, Njamnshi Alfred Kongnyu, Landin-Romero Ramon, L贸pez Mar铆a Eugenia, Maito Marcelo Adri谩n, Medel Vicente, Sep煤lveda Juan Pablo Morales, Ochoa G贸mez John Fredy, Ogbuagu Chukwuanugo, de Oliveira Maira Okada, Ozansoy Mehmet, Palma-Espinosa Javier, Hilal Saima, Zhou Juan Helen, Escudero Stefanie Danielle Pi帽a, Pitman Julie Kay, Prado Pavel, Ram铆rez Gonz谩lez Diego, Reyes Pablo, Santamar铆a Garc铆a Hernando, Schr枚der Johannes, Sitt Jacobo Diego, Soliman Radwa Kamel, Soto-A帽ari Marcio, Thanissery Nithin, Ito Lucas Toshio, Tsuchida Ami, Tzourio Christophe, Y谋r谋ko臒ullar谋 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, Maest煤 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)
- Manna Davide Liberato, Bihl Trevor,
- 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing (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)
- , , Bihl Trevor J, Combs Kara
- Hawaii International Conference on System Sciences (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
Doctor
Gaetano
Di Caterina
Reader
Electronic and Electrical Engineering
Email: gaetano.di-caterina@strath.ac.uk
Tel: 548 4458