Mo Hossny

Mo Hossny is a Senior Lecturer at the University of New South Wales (UNSW) Canberra within the School of Systems & Computing. His academic journey includes a BSc in Computer Science from Cairo University, an MSc in Computer Science through collaboration with the IBM Centre of Advance Studies (CAS), and a PhD from Deakin University’s Institute for Intelligent Systems and Research Innovation (IISRI), where he developed an algebraic framework for multimodal image fusion.

• Education
  • BSc in Computer Science, Cairo University
  • MSc in Computer Science, IBM CAS
  • PhD, Deakin University

Dr. Hossny’s research spans interdisciplinary domains at the intersection of biomechanics, machine learning, and autonomous systems. Key areas include marker-less motion capture, ocular biomechanics in virtual reality, image fusion techniques, and real-time intent prediction for vulnerable road users. His work has been applied to fields ranging from autonomous vehicle safety to dermatology and agricultural robotics.

Recent publications highlight his expertise in 3D point cloud processing (e.g., VoxelScape dataset), UAV navigation (Sky Shepherd), and deep learning for ocular fatigue analysis in VR environments. His technical contributions include novel frameworks for LiDAR inpainting, DDPG control refinement, and spatio-temporal pedestrian prediction.