Vikranth Harthikote Nagaraja

Associate, Oxford India Centre for Sustainable Development; University Fellow, School of Health and Society, Salford University

Vikranth completed his DPhil in Biomedical Engineering at St Hilda’s College; his thesis focused on better characterising compensatory movements adopted during upper-limb prosthesis usage, which have been linked to poor outcomes. Following a postdoctoral stint at Oxford, he joined as a University Fellow with the Centre for Human Movement and Rehabilitation at Salford University in August 2023. During his Fellowship, Vikranth aims to work at the intersection of rehabilitation technologies and global health. 

Vikranth’s research primarily focuses on developing affordable/personalised prosthetic arms for low-resource settings and biomechanical modelling. His research interests include Human Movement Analysis, Upper Extremity Biomechanics, Prosthetic limbs, Musculoskeletal Modelling, Telehealth, Medical Device Design, and Affordable Healthcare.

He is also working on collaborative projects tackling emerging topics – (i) AI/Machine Learning applications in motion analysis and musculoskeletal modelling for real-world biomechanical assessments; (ii) the potential role of telehealth and virtual care as sustainable development solutions in achieving Universal Health Coverage in India; and (iii) structured need-led design methodology for developing prosthetic devices.


  1. Nagaraja, V.H., Ghosh Dastidar, B., Suri, S., and Jani, A., 2022. Perspectives and use of telemedicine by doctors in India: A cross-sectional study. medRxiv.
  2. Ghosh Dastidar, B., Suri, S., Nagaraja, V.H., and Jani, A., 2022. A virtual bridge to Universal Healthcare in India. Communications Medicine. 2, 145.
  3. Nagaraja, V.H., Ghosh Moulic, S., D’souza J.V., Limesh, M., Walters, P., and Bergmann J.H., 2022. A novel respiratory control and actuation system for upper-limb prosthesis users: Clinical evaluation study. TechArxiv. 1–18.
  4. Nagaraja, V.H., Bergmann, J.H., Andersen, M.S., and Thompson, M.S., 2022. Comparison of a Scaled Cadaver-based Musculoskeletal Model with a Clinical Upper Extremity Model. ASME Journal of Biomechanical Engineering. 1–14.
  5. Dasgupta, A., Sharma, R., Mishra, C., and Nagaraja, V.H., 2022. Machine Learning for Optical Motion Capture-driven Musculoskeletal Modeling from Inertial Motion Capture Data. arXiv.
  6. Sharma, R., Dasgupta, A., Cheng, R., Mishra, C., and Nagaraja, V.H., 2022. Machine Learning for Musculoskeletal Modeling of Upper Extremity. IEEE Sensors Journal. 22(9), pp.18684–18697.
  7. Nagaraja, V.H., da Ponte Lopes, J., and Bergmann, J.H., 2022. Reimagining Prosthetic Control: A Novel Body-Powered Prosthetic System for Simultaneous Control and Actuation. Prosthesis, 4(3), pp.394–413.
  8. Russell, J., Bergmann, J.H., and Nagaraja, V.H., 2022. Towards Dynamic Multi-Modal Intent Sensing Using Probabilistic Sensor Networks. Sensors, 22(7), p.2603.
  9. Nagaraja, V.H., Cheng, R., Slater, D.H., Thompson, M.S., and Bergmann, J.H., 2022. Upper limb prosthetic maintenance data–A retrospective analysis study. JPO: Journal of Prosthetics and Orthotics. 34(4):223–232
  10. Nagaraja, V.H., Bergmann, J.H., Sen, D. and Thompson, M.S., 2016. Examining the needs of affordable upper limb prosthetic users in India: A questionnaire-based survey. Technology and Disability28(3), pp.101-110.


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