Mahmudul Hassan

Mahmudul Hassan is a Lecturer in Immersive Technologies at Teesside University's Department of Computing & Games. He holds a PhD in Computer Science (Computer Vision & Machine Learning) from Monash University (Malaysia). His primary research focuses on applying immersive technologies (VR/AR/XR) and machine learning to develop serious games for procedural training and performance assessment. Current projects include virtual bio-reactor simulators and digital twin applications in healthcare and industry.

• Education: PhD in Computer Science (Monash University), BSc/MSc in related fields (not explicitly stated)

Research interests span VR-based training systems, AI-driven serious games, IoT integration in extended reality, and computer vision applications in agriculture and healthcare. He has developed operator training modules for bio-processes through projects like THYME and ATSTN.

Key collaborations include the OptiWare project (warehouse optimization via generative AI and computer vision) and cross-disciplinary work with healthcare and engineering teams. His publications address cybersecurity models against social engineering attacks, generative AI in medical education, and bioreactor simulation systems.

Advising focuses on immersive tech applications in smart farming, industrial training, and healthcare digital twins. He leads development of exergames for disability health support and IoT-XR integration in industrial safety protocols.

Labs/Teams: Core contributor to Teesside's immersive tech research group, collaborating with SHLS and SCEDT departments on applied training solutions.