If you made any changes in Pure these will be visible here soon.

Personal profile

Personal Statement

I am a Lecturer in the Department of Electronic and Electrical Engineering. In particular, I am the Leonardo Lecturer on a 5-year joint program between the University of Strathclyde and the UK-based security and defence company Leonardo MW Ltd. I have also been awarded a Chancellor’s Fellowship at the University of Strathclyde.

Having completed a PhD in video analytics for smart surveillance, in the Centre for Signal and Image Processing, within the Electronic and Electrical Engineering 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: Signal Processing and Machine Learning for Autonomous Systems and Human-Machine Interaction; Biosignal Driven Intelligent Systems and Healthcare; Embedded Systems and Neuromorphic Technologies. I currently supervise a number of PhD students working on various applications within these three broad research areas, and I am Principal Investigator and Co-Investigator on various projects in collaboration with national and international partners.

As part of my engagement with Leonardo, my role is to expand and strengthen the collaborative links between the University of Strathclyde and Leonardo, in terms of research programs, undergraduate and Msc projects, and recruitment-oriented activities.

And I am course director for the MSc in Machine Learning and Deep Learning, at University of Strathclyde. This is a joint MSc program between the Electronic and Electrical Engineering Department, and the Computer and Information Sciences Department, at Strathclyde.

Research Interests

  • EMG signal processing
  • Image and video processing
  • DSP embedded systems
  • Video analytics for surveillance
  • Speech processing
  • Medical image processing
  • Machine Learning and Deep Learning
  • Neuromorphic technologies

Education/Academic qualification



Bachelor of Engineering, Universita' degli Studi di Napoli Federico II

Fingerprint Dive into the research topics where Gaetano Di Caterina is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 6 Similar Profiles
Neural networks Engineering & Materials Science
Magnetic resonance Engineering & Materials Science
Cameras Engineering & Materials Science
Target tracking Engineering & Materials Science
Template matching Engineering & Materials Science
Vocal Cords Medicine & Life Sciences
Tumors Engineering & Materials Science
Imaging techniques Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2011 2022

Research Output 2009 2020

Automatic annotation of subsea pipelines using deep learning

Stamoulakatos, A., Cardona, J., McCaig, C., Murray, D., Filius, H., Atkinson, R., Bellekens, X., Michie, C., Andonovic, I., Lazaridis, P., Hamilton, A., Hossain, M. M., Di Caterina, G. & Tachtatzis, C., 26 Jan 2020, In : Sensors. 20, 3, 15 p., 674.

Research output: Contribution to journalArticle

Open Access
Remotely operated vehicles
Oceans and Seas
5 Downloads (Pure)

Automatic 3D detection and segmentation of head and neck cancer from MRI data

Zhao, B., Soraghan, J., Grose, D., Doshi, T. & Di-Caterina, G., 17 Jan 2019, Proceedings of the 2018 7th European Workshop on Visual Information Processing, EUVIP 2018. Tabus, I., Larabi, C., Battisti, F., Egiazarian, K., Oudre, L. & Beghdadi, A. (eds.). Piscataway, NJ: IEEE, Vol. 2018-November. 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
Magnetic resonance
Imaging techniques


Facial analytics for emotional state recognition

Author: Papazachariou, K., 1 Jan 2017

Supervisor: Soraghan, J. (Supervisor) & Di Caterina, G. (Supervisor)

Student thesis: Master's Thesis


IEEE Brain Data Bank Challenges and Competitions

Heba Lakany (Recipient), Danial Kahani (Recipient), Jetsada ARNIN (Recipient), Deepak Uttamchandani (Recipient), Jinchang Ren (Recipient), Paul Murray (Recipient), Gaetano Di Caterina (Recipient) & Jaime Zabalza (Recipient), 31 Oct 2017

Prize: Prize (including medals and awards)

Big data

Activities 2017 2018

  • 1 Participation in workshop, seminar, course
  • 1 Types of Public engagement and outreach - Media article or participation

Strathclyde researchers seek diagnostic tool for respiratory condition

Wendy Cohen (Contributor), Gaetano Di Caterina (Contributor), John Soraghan (Contributor), David M Wynne (Contributor)
26 Nov 2018

Activity: Other activity typesTypes of Public engagement and outreach - Media article or participation

Faculty Robotics and Automation Users Group Discussion

Gareth Pierce (Organiser), Alan Oakley (Participant), Dimitris Drikakis (Participant), Deepak Uttamchandani (Participant), William Ion (Participant), Xiu Yan (Participant), Erfu Yang (Participant), Massimiliano Vasile (Participant), Malcolm Macdonald (Participant), P J Rowe (Participant), Marcus Perry (Participant), Charles Norman MacLeod (Participant), Gordon Dobie (Participant), Daniel McMahon (Participant), Stephen Marshall (Participant), Mark Post (Participant), Lykourgos Petropoulakis (Participant), Carmelo Mineo (Participant), Gaetano Di Caterina (Participant), David Harle (Participant), Walter Michie (Participant), Robert Stewart (Participant), Janine de fence (Participant), Stephen McArthur (Participant), Alexander Galloway (Participant), Daryl Landeg (Participant), Atilla Incecik (Participant), Campbell Booth (Participant), Andrew Heyes (Participant), Alexander Duffy (Participant), Zoe Shipton (Participant), Anthony Gachagan (Participant), Remi Christophe Zante (Participant), Tony Rodden (Participant), Rahul Summan (Participant), Graham Wren (Participant)
10 Oct 2017

Activity: Participating in or organising an event typesParticipation in workshop, seminar, course