Dr Stephen Uzor

Courses taught:

• Computer Games Programming (Undergraduate)

Stephen is an academic researcher driven by the design of novel technologies and methods at the intersection of several interdisciplinary domains, including Game Design, Human-Computer Interaction (HCI), Artificial Intelligence (AI), Extended Reality (XR), and Digital Health.

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Background

Stephen’s academic career spans over a decade, and he has led modules in Game Development, Computer Graphics, Human-Computer Interaction (HCI), and Research Methods. He currently leads game programming modules at ARU, including Complex Systems for Games, Developing for Game Engines, and Software Development for Games. He believes in engaging and innovative approaches to teaching, including gamifying learning and promoting immersive experiences using XR.

Stephen’s research focuses on how users engage with digital systems and how such systems can be designed to support user wellbeing and quality of life. By blending insights and methods from AI, XR, and games, guided by Human-Computer Interaction principles, he believes we can revolutionise domains such as physical rehabilitation, mental health, education, and cultural heritage, by creating intelligent and transformative technologies and user experiences.

Research interests

• Extended Reality
• Games
• Digital Health (physical and mental)
• Artificial Intelligence
• Human-Computer Interaction
• Culture

Areas of research supervision

• Game Programming
• Game Design
• 3D Design and Animation
• Human-Computer Interaction
• Virtual, Augmented and Mixed Reality

Teaching

Stephen currently teaches on the following modules:

• Level 5: Complex Systems for Games
• Level 4: Software Development for Games; Developing for Game Engines

Qualifications

• PhD
• MSc
• BTech Computer Science

Memberships, editorial boards

• Association for Computing Machinery (ACM)
• Fellow of the Higher Education Academy (FHEA)

Research grants, consultancy, knowledge exchange

• 2025: PI, Living Exhibitions. Funded by Innovate UK Digital Culture Media and Sport (DCMS) - £50,000
• 2023: PI, Extended Reality Air Combat Museums. Funded by an Innovate UK Creative Catalyst Grant - £50,000
• 2019–2021: Consultant, Department of Engineering, University of Cambridge
• 2017: Co-I: Optimising Elderly Falls Rehabilitation. Funded by EPSRC Impact Acceleration Account Award (IAA) - £110,000

Selected recent publications

Sotoudeh, S, Lantini, L, Uzor, S. and Tosti, F. (2025). A Systematic Review into the Application of Ground-Based Interferometric Radar Systems for Bridge Monitoring. Remote Sensing, vol. 17, no. 9, Apr. 2025, p. 1541.

Uzor, S, Atsakpo, E, Tessema, T, Bianchini Ciampoli, L, Gagliardi, V, Benedetto, A, and Tosti, F. (2025). Enhanced Deformation Monitoring in Virtual Reality using Remote Sensing Data in Airport Runway Management, EGU General Assembly, Vienna, Austria.

Uzor, S, Sotoudeh, S, and Tosti, F. (2024). Low-Cost Support Visualization of Bridge Structures using Smartphone LiDAR and Head Mounted Augmented Reality (AR). EGU General Assembly 2024, Vienna, Austria.

Uzor, S, Lantini, L. and Tosti, F. (2023). Low-Cost Assessment and Visualization of Tree Roots Using Smartphone LiDAR, Ground-Penetrating Radar (GPR) Data and Virtual Reality. EGU General Assembly 2023.

Huang, J, Dudley, J. J, Uzor, S, Wu, D, Kristensson, P. O. and Tian, F. (2022). Understanding User Performance of Acquiring Targets with Motion-in-Depth in Virtual Reality. International Journal of Human-Computer Studies, 163: 102817.

Uzor, S, Tosti, F. and Alani, A. M. (2022). Low-Cost Scanning of Tree Trunks for Analysis and Visualization in Augmented Reality using Smartphone LiDAR and Digital Twins. EGU General Assembly 2022; 23-27 May 2022, Vienna, Austria.

Huang, J, Dudley, J. J, Uzor, S, Wu, D, Kristensson, P. O. and Tian, F. (2022). Understanding User Performance of Acquiring Targets with Motion-in-Depth in Virtual Reality. International Journal of Human-Computer Studies, 163: 102817.

Uzor, S, Jacques, J. T, Dudley, J. J. and Kristensson, P. O. (2021). Investigating the Accessibility of Crowd Work Tasks on Mechanical Turk. In Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI '21), 381, 1–14.

Uzor, S. and Kristensson, P.O. (2021). An Exploration of Freehand Crossing Selection in Head-Mounted Augmented Reality. ACM Transactions on Computer-Human Interaction (TOCHI), 28 (5), Article No. 33, pp. 1-27.

Recent presentations and conferences

Uzor, S, Atsakpo, E, Tessema, T, Bianchini Ciampoli, L, Gagliardi, V, Benedetto, A, and Tosti, F. (2025). Enhanced Deformation Monitoring in Virtual Reality using Remote Sensing Data in Airport Runway Management, EGU General Assembly, Vienna, Austria.

Uzor, S, Sotoudeh, S, and Tosti, F. (2024). Low-Cost Support Visualization of Bridge Structures using Smartphone LiDAR and Head Mounted Augmented Reality (AR). EGU General Assembly 2024, Vienna, Austria.

Uzor, S, Lantini, L. and Tosti, F. (2023). Low-Cost Assessment and Visualization of Tree Roots Using Smartphone LiDAR, Ground-Penetrating Radar (GPR) Data and Virtual Reality. EGU General Assembly 2023, Vienna, Austria.

Uzor, S, Tosti, F. and Alani, A. M. (2022). Low-Cost Scanning of Tree Trunks for Analysis and Visualization in Augmented Reality using Smartphone LiDAR and Digital Twins. EGU General Assembly 2022, Vienna, Austria.

Uzor, S, Jacques, J. T, Dudley, J. J. and Kristensson, P. O. (2021). Investigating the Accessibility of Crowd Work Tasks on Mechanical Turk. ACM SIGCHI Conference on Human Factors in Computing Systems, Hawaii, USA.

Uzor, S. and Kristensson, P.O. (2021). An Exploration of Freehand Crossing Selection in Head-Mounted Augmented Reality. ACM Transactions on Computer-Human Interaction (TOCHI), Hawaii, USA.