Mr Rahm Ranjan

Lecturer
  • 2026 Doctor of Philosophy (PhD) School of Optometry and Vision Science, UNSW Sydney, NSW Australia

  • 2020 Master of Health Technology and Innovation (with High Honours) University of Sydney – Sydney, NSW Australia

  • 2010 Bachelor of Physiotherapy Charles Sturt University – Albury, NSW Australia

Medicine & Health
School of Health Sciences

Rahm is a dedicated researcher and lecturer passionate about harnessing innovation and technology to improve health access and clinical outcomes. He holds a PhD in Computer Science and Human Movement Analysis, as well as a Master’s in Health Technology and Innovation. His current work primarily focuses on computer vision technology for human movement analysis and the validation of Artificial Intelligence (AI) in healthcare. Additionally, he continues to explore immersive virtual reality (VR) and the advanced use of motion capture for learning and teaching within health environments.

Rahm brings over a decade of clinical experience to his research. As a paediatric physiotherapist for ten years, he successfully incorporated consumer technology to enhance rehabilitation outcomes for children and their families. His broad clinical background also spans ICU, acute hospital care, rehabilitation, sports medicine, community health, and aged care. Rahm continues to explore, understand, and validate emerging technologies with the ultimate goal of making health services more accessible to every individual.

Phone
+61 2 9065 2197
Location
School of Health Sciences | Faculty of Medicine & Health Health Translation Hub (HTH) School of Health Sciences (SoHS) Level 6 (North), 55 Botany Street Randwick NSW 2031
  • Journal articles | 2025
    Ranjan R; Ahmedt-Aristizabal D; Ali Armin M; Kim J, 2025, 'Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video Dataset', IEEE Access, 13, pp. 45321 - 45339, http://dx.doi.org/10.1109/ACCESS.2025.3545787
  • Conference Papers | 2024
    Hapuarachchi H; Ranjan R; Nakamura J; Kitazaki M; Kim J, 2024, 'SkiWalkerVR: Towards Naturalistic Virtual Walking Using Hand Movements and Foot Vibrations', in Proceedings SIGGRAPH Asia 2024 Emerging Technologies SA 2024, http://dx.doi.org/10.1145/3681755.3688945
    Conference Papers | 2024
    Ranjan R; Ahmedt-Aristizabal D; Armin MA; Kim J, 2024, 'Developing Normative Gait Cycle Parameters for Clinical Analysis Using Human Pose Estimation', in Proceedings 2024 25th International Conference on Digital Image Computing Techniques and Applications Dicta 2024, pp. 142 - 149, http://dx.doi.org/10.1109/DICTA63115.2024.00032
    Preprints | 2024
    Ranjan R; Ahmedt-Aristizabal D; Armin MA; Kim J, 2024, Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video Dataset, http://dx.doi.org/10.48550/arxiv.2407.04190
    Preprints | 2024
    Ranjan R; Ahmedt-Aristizabal D; Armin MA; Kim J, 2024, Developing Normative Gait Cycle Parameters for Clinical Analysis Using Human Pose Estimation, http://dx.doi.org/10.48550/arxiv.2411.13716
    Conference Papers | 2022
    Wagner P; Kim J; Ranjan R; Cai Y; iwasaki S; Palmisano S, 2022, 'Using Galvanic Vestibular Stimulation (GVS) to Enhance User Experiences in HMD-Based Virtual Reality', Fukuoka International Congress Center, presented at Proceedings of the International Display Workshops Volume 29 (IDW '22), Fukuoka International Congress Center, 14 December 2022 - 16 December 2022, http://dx.doi.org/10.36463/idw.2022.0649