Projects per year
Personal profile
Academic Biography
Dr Mahmudul Hassan is a Lecturer in Immersive Technologies. His research interest spreads in various domains of the Immersive technology spectrum (VR, AR and MR). Currently he is focusing on applying Machine Learning and Artificial Intelligence techniques within ‘Serious Games’ to develop VR/AR/MR based procedural training and performance assessment modules.
Before joining as a lecturer at SCEDT, he worked as a Research fellow at SHLS in Teesside University where he developed a ‘Virtual Bio-Reactor simulator (THYME project and Advanced Therapy Skills Training Network (ATSTN) project) for bio-process operator training (Upstream and Downstream) and automated performance assessment. He has got his Ph.D. from Monash University (Malaysia) in Computer Science (Computer Vision and Machine Learning).
Summary of Research Interests
His research interests include, but not limited to the following areas:
- Virtual Reality in ‘Serious Game’ based procedural training.
- Game based Learning Management System development.
- Applying Machine Learning and AI in serious games.
- Developing Data driven simulation and digital twins.
- Mixed, Hybrid and Augmented reality applications.
- IOT in XR.
- Computer Vision Applications in agriculture.
PhD and Research Opportunities
Accepting PhD students in:
- Application of Immersive Technologies (VR/AR/XR) in smart farming.
- VR-based training solutions for industry.
- Integration of XR and IoT for industrial and healthcare applications.
- Digital twin technology in healthcare.
- Computer vision solutions for the construction industry.
- Use of exergames to promote health and well-being for individuals with disabilities.
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Collaborations and top research areas from the last five years
Projects
- 1 Finished
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OptiWare: OptiWare - Optimisation of Port Warehousing Compliance with Non-Intrusive Methods and Generative AI
Balota, J. (PI), Hassan, M. (CoI) & Akinade, O. (CoI)
1/10/24 → 31/03/25
Project: Other
Research output
- 3 Article
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A multi-layered security model to counter social engineering attacks: a learning-based approach
Iqbal, Z., Hassan, M. & Edwards, L., 18 Apr 2024, In: International Cybersecurity Law Review. 5, p. 313–336Research output: Contribution to journal › Article › peer-review
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Generative Artificial Intelligence and Immersive Technology for Medical Education: Opportunities and Challenges
Iqbal, Z. & Hassan, M., 1 Sept 2024, In: Interdisciplinary Journal of Virtual Learning in Medical Sciences. 15, 3, 5 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Virtual reality-based bioreactor digital twin for operator training
Hassan, M., Montague, G., Iqbal, Z. & Fahey, J., 3 Apr 2024, In: Digital Chemical Engineering. 11, June, 100147.Research output: Contribution to journal › Article › peer-review
Open AccessFile201 Downloads (Pure)