Vignesh Subbian

Assistant Professor
Tenured/Tenure-Track Faculty
External Website:


  • PhD, Computer Science and Engineering, University of Cincinnati, 2016 
  • MS, Electrical Engineering, The University of Alabama in Huntsville, 2009

Research Interests

  • Computational medicine and informatics
  • Intelligent systems and applied machine learning for neurological disorders
  • Traumatic brain injury
  • Mental health
  • Ethical decision-making
  • STEM integration

Teaching Interests

  • Biomedical informatics
  • Artificial intelligence for health and medicine
  • Biomedical statistics
  • Software engineering


Vignesh Subbian has joint appointments across the departments of Biomedical Engineering and Systems & Industrial Engineering, and leads the Computational Medicine and Informatics for Neurological Health (COM-IN) collaboratory. The COM-IN collaboratory is focused on both transforming neurologic care and health through engineering-driven, integrative research and training next-generation scientists, engineers, clinicians and leaders through personalized mentorship and true multidisciplinary immersion.

Selected Publications

  • V. Subbian, J.J. Ratcliff, J.J. Korfhagen, J.M. Meunier, K. Hart, G.J. Shaw, C.J. Lindsell, and F.R. Beyette, “A Novel Tool for Evaluation of Mild Traumatic Brain Injury Patients in the Emergency Department: Does Robotic Assessment of Neuromotor Performance following Injury Predict the Presence of Post-Concussion Symptoms at Follow up?,” Academic Emergency Medicine, 2016. 
  • V. Subbian, J.J. Ratcliff, J.M. Meunier, J.J. Korfhagen, G.J. Shaw, F.R. Beyette, “Integration of New Technology for Research in the Emergency Department: Feasibility of Deploying a Robotic Assessment Tool for Mild Traumatic Brain Injury Evaluation,” IEEE Journal of Translational Engineering in Health and Medicine, 2015. 
  • C. Duran, V. Subbian, M. Giovanetti, J. Simkins, F.R. Beyette Jr., “Experimental Desktop 3D Printing using Dual Extrusion and Water-Soluble Polyvinyl Alcohol,” Rapid Prototyping Journal, vol. 21, no. 5, 2015. 
  • V. Subbian, J.M. Meunier, J.J. Korfhagen, J.J. Ratcliff, G.J. Shaw, F.R. Beyette, “Quantitative Assessment of Post-Concussion Syndrome Following Mild Traumatic Brain Injury Using Robotic Technology,” Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Aug. 26-30, 2014. 
  • V. Subbian, F.R. Beyette and C. Purdy, “UnLecture: A Novel Active Learning Based Pedagogical Strategy for Engineering Courses,” Proceedings of the 121st Annual ASEE Conference, Indianapolis, IN, June 15-18, 2014. 
  • V. Subbian, P.A. Wilsey, and F.R. Beyette, “Heuristic Evaluation of User Interface for Point-of-Care Diagnosis and Rehabilitation of Mild Traumatic Brain Injury,” Proceedings of the 6th IEEE International Conference on Neural Engineering, Nov. 6-8, 2013. 
  • V. Subbian, P.A. Wilsey, and F.R. Beyette, “Development and Evaluation of Hardware for Assessment of Upper-limb Motor Performance, Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Osaka, Japan, July 3-7, 2013. 
  • V. Subbian, "Role of MOOCs in Integrated STEM Education: A Learning Perspective," Proceedings of the IEEE Integrated STEM Education Conference, Princeton, NJ, March 9, 2013. 
  • V. Subbian, F.R. Beyette, and P.A. Wilsey, “Design and Usability of a Medical Computing System for Diagnosis of Mild Traumatic Brain Injury,” Proceedings of the 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 996–999, Aug. 29-Sept. 1, 2012.

University of Arizona College of Engineering
Department of Biomedical Engineering 1127 E James E. Rogers Way P.O. Box 210020 Tucson, AZ 85721-0020