Dr Gordon Johnson
Faculties, departments and locations
- Faculty of Engineering, Computing and the Environment
- Department of Computer Science
- School of Computer Science and Mathematics
- Penrhyn Road
Lecturer in Computer Science
- Email:
- [email protected]
About
Dr Gordon Johnson is a Lecturer in Computer Science at Kingston University, specialising in artificial intelligence, computer vision, and assistive technologies. He completed his PhD in Artificial Intelligence at Kingston University, where his research focused on deep learning for assistive facial expression recognition, particularly to support children with autism. His work has been presented at major international venues, including IEEE conferences, the Wireless World Research Forum, and the World Health Organization.
Dr Johnson holds a First-Class BSc in Computer Science and an MSc in Game Development (Programming) with Distinction, both from Kingston University, following a Higher National Diploma from Kingston College. His academic growth has been shaped by inspiring mentors, collaborative research environments, and a commitment to inclusive technological innovation.
In his postdoctoral work, Dr Johnson contributed to retinal image analysis, developing deep learning models for vessel registration in longitudinal ophthalmological datasets. This research supported early detection and monitoring of retinal conditions and demonstrated his ability to apply AI across diverse healthcare domains.
His broader research explores the intersection of deep learning, emotion recognition, and therapeutic applications. Dr Johnson has contributed to interdisciplinary projects such as the GCRF-funded UbiTheraPlay initiative and the UKSPF and AKT projects, which applied gaming and virtual reality technologies in healthcare and rehabilitation contexts.
He has worked closely with clinicians, educators, and special education schools to design and evaluate AI-driven interventions, including collaborations with Bedelsford and Dysart Schools. His work emphasises real-world impact, user-centred design, and ethical considerations in the deployment of AI systems.
Dr Johnson’s academic journey reflects the power of perseverance and the transformative potential of education. He remains dedicated to advancing research that promotes well-being, accessibility, and inclusion—both in the classroom and beyond.
Qualifications
- 2025 - PhD - Artificial Intelligence
- 2018 - MSc - Game Development (Programming)
- 2017 - BSc - Computer Science
- 2016 - HND - Computer and Systems Development
Domains
Courses taught
Specialisms
- Computer Vision
- Artificial Intelligence
Publications
Assistive facial expression recognition for children with autism using re-enactment
Johnson, Gordon, Argyriou, Vasileios, Barman, Sarah and Politis, Christos, 2025, Computers in Human Behavior Reports (20), Published
Therapy reloaded: mixed reality games for hand rehabilitation
Nagy, Bence, Hart Prieto, Ewan, Mirza, Aqib, Johnson, Gordon, Usman, Muhammad Arslan and Smith, Chris (2025). Piscataway, U.S.: Institute of Electrical and Electronics Engineers [Published]
Artificial intelligence-enabled retinal vasculometry at scale utilizing the UK Biobank, CLSA, and NEL DESP datasets
Welikala, Roshan, Fajtl, Jiri, Johnson, Gordon, Rahman, Farzana, Podoleanu, Razvan, Remagnino, Paolo, Freeman, Ellen E., Chambers, Ryan, Bolter, Louis, Anderson, John, Olvera-Barrios, Abraham, Warwick, Alasdair, Foster, Paul J., Shakespeare, Royce, Ganguly, Rahul, Egan, Catherine, Tufail, Adnan, Owen, Christopher G., Rudnicka, Alicja R. and Barman, Sarah A. (2024). [Published]
Therapy reloaded: temporal neural network-based platform for processing muscle activity measurement in electromyography-games
Johnson, Gordon, Mirza, Aqib, Usman, M Arslan, Sharp, Natalie, Smith, Chris, Francik, Jarek, Bakirtzis, Christos, Politis, Christos and Grigoriadis, Nikolas (2024). Piscataway, U.S.: IEEE [Published]
Fabric composition classification using hyper-spectral imaging
Clark, Jacob, Johnson, Gordon, Duran, Olga and Argyriou, Vasileios (2023). Piscataway, U.S.: IEEEpp 347-353 [Published]
Similarity model using gradient images to compare human and AI agents
Johnson, Gordon, Argyriou, Vasileios and Politis, Christos(2021). [Published]
Improving emotional and social understanding with AI-driven facial expression recognition systems for enhanced human interaction
Johnson, Gordon (2025), PhD thesis [Accepted/In press]