Vignesh Subbian, PhD
Vignesh Subbian is an Associate Professor of Biomedical Engineering, Systems and Industrial Engineering, member of the BIO5 Institute, and a Distinguished Fellow of the Center for University Education Scholarship (CUES) at the University of Arizona (UA). His professional areas of interest include medical informatics, healthcare systems engineering, and broadening participation in engineering and computing. Dr. Subbian leads the Computational Medicine and INformatics (COM-IN) Collaboratory at the UA, with a focus on transforming human health and healthcare through engineering-driven and integrative research as well as training next-generation scientists, engineers, clinicians, and leaders through personalized mentorship and true multidisciplinary immersion. Funded through the National Science Foundation (NSF) and the Agency for Healthcare Research and Quality (AHRQ), research efforts in the COM-IN Collaboratory leverage systems engineering and computational methods including machine learning for clinical and healthcare applications. Current patient populations of interest include cardiovascular diseases, traumatic brain injury, and mental health disorders. Dr. Subbian is the principal investigator on an NSF Smart and Connected Health award to develop advanced computational models and tools for critical care medicine, particularly traumatic brain injury prognosis.
Dr. Subbian’s educational research is focused on ethical decision-making and formation of identities in engineering. His work in ethics education has been featured in the National Academy of Engineering (NAE) Exemplars in Engineering Ethics Education, an effort aimed to improve students’ understanding of ethical practice and research in engineering. He served as the co-chair of the NSF-funded Southwest STEM in Hispanic-serving Institutions (HSI) Conference (2017), and currently co-leads the STEM in HSI working group at the UA. He also leads the Collaborative for Engineering Education Research and Outreach (CEERO), a cross-college, interdisciplinary network of faculty, staff, and students to promote engineering education at all levels.
Degree(s)
- Ph.D. Computer Science and Engineering, University of Cincinnati, Cincinnati, Ohio, United States
- M.S. Electrical Engineering, University of Alabama in Huntsville, Huntsville, Alabama, United States