Vignesh Subbian

Associate Professor of Systems and Industrial Engineering
Associate Director of Biomedical Informatics and Biostatistics (CB2)
Associate Professor of Biomedical Engineering
Associate Professor of the BIO5 Institute
Associate Professor of Statistics - Graduate Interdisciplinary Program
Associate Professor of Applied Mathematics - Graduate Interdisciplinary Program
Associate Professor of Clinical Translational Sciences
Associate Professor of Medicine
Member of the Graduate Faculty
Vignesh Subbian

Engineering 310

520.621.6559
vsubbian@arizona.edu

Vignesh Subbian is a joint 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 (UArizona). His professional areas of interest include medical informatics, healthcare systems engineering, and promoting servingness and participation in engineering, biomedicine, and computing. Dr. Subbian leads the Computational Medicine and INformatics (COM-IN) Collaboratory, an engineering-driven, cross-disciplinary biomedical research and training hub at the UArizona. 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 respiratory disorders. Dr. Subbian is the principal investigator on an NSF Smart and Connected Health award to develop advanced computational models and informatics tools for critical care medicine.

Dr. Subbian’s educational research is focused on asset-based practices, ethical decision-making, and formation of identities in engineering. He is the co-founder of the STEM in HSI working group and the Data Science Ambassadors Program at UArizona. 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.

Degrees

  • PhD Computer Science and Engineering
    • University of Cincinnati, Cincinnati, Ohio, United States
  • MS Electrical Engineering
    • University of Alabama in Huntsville, Huntsville, Alabama, United States

Interests

Teaching

Software engineering, biomedical data science and informatics

Research

Medical informatics, healthcare systems engineering, acute respiratory failure, traumatic brain injury, engineering ethics, asset-based practices

Selected Publications

Chapters

  • Subbian, V., Galvin, H. K., Petersen, C., & Solomonides, A. (2021). Ethical, Legal, and Social Issues (ELSI) in Mental Health Informatics. In Mental Health Informatics(pp 479--503). Springer.
  • Franco, M., Lozano, G. I., & Subbian, V. (2020). HSIs and Community Partners: A Framework for Strengthening Servingness Through Engagement. In Hispanic Serving Institutions (HSIs) in Practice: Defining "Servingness" at HSIs(pp 153-174). Information Age Publishing.

Journals/Publications

  • Fisher, J. M., Subbian, V., Essay, P., Pungitore, S., Bedrick, E. J., & Mosier, J. M. (2024). Acute Respiratory Failure From Early Pandemic COVID-19: Noninvasive Respiratory Support vs Mechanical Ventilation. CHEST critical care, 2(1).
  • Stowell, J. R., Henry, M. B., Pugsley, P., Edwards, J., Burton, H., Norquist, C., Katz, E. D., Koenig, B. W., Indermuhle, S., Subbian, V., Ghaderi, H., & Akhter, M. (2024). Impact of the COVID-19 Pandemic on Emergency Department Encounters in a Major Metropolitan Area. The Journal of emergency medicine, 66(3), e383-e390.
  • Essay, P., Zhang, T., Mosier, J., & Subbian, V. (2023). Managed critical care: impact of remote decision-making on patient outcomes. The American journal of managed care, 29(7), e208-e214.
  • Ghaderi, H., Foreman, B., Nayebi, A., Tipirneni, S., Reddy, C. K., & Subbian, V. (2023). A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): An application to TBI phenotyping. Journal of biomedical informatics, 143, 104401.
  • Ghaderi, H., Foreman, B., Nayebi, A., Tipirneni, S., Reddy, C. K., & Subbian, V. (2023). Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series Data. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2023, 379-388.
  • Lehmann, C. U., Subbian, V., & , S. E. (2023). Advances in Clinical Decision Support Systems: Contributions from the 2022 Literature. Yearbook of medical informatics, 32(1), 179-183.
  • Nayebi, A., Tipirneni, S., Reddy, C. K., Foreman, B., & Subbian, V. (2023). WindowSHAP: An efficient framework for explaining time-series classifiers based on Shapley values. Journal of biomedical informatics, 144, 104438.
  • Pungitore, S., & Subbian, V. (2023). Assessment of Prediction Tasks and Time Window Selection in Temporal Modeling of Electronic Health Record Data: a Systematic Review. Journal of healthcare informatics research, 7(3), 313-331.
  • Pungitore, S., Olorunnisola, T., Mosier, J., Subbian, V., & , N. C. (2023). Computable Phenotypes for Post-acute sequelae of SARS-CoV-2: A National COVID Cohort Collaborative Analysis. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2023, 589-598.
  • Stocking, J. C., Taylor, S. L., Fan, S., Wingert, T., Drake, C., Aldrich, J. M., Ong, M. K., Amin, A. N., Marmor, R. A., Godat, L., Cannesson, M., Gropper, M. A., Utter, G. H., Sandrock, C. E., Bime, C., Mosier, J., Subbian, V., Adams, J. Y., Kenyon, N. J., , Albertson, T. E., et al. (2023). A Least Absolute Shrinkage and Selection Operator-Derived Predictive Model for Postoperative Respiratory Failure in a Heterogeneous Adult Elective Surgery Patient Population. CHEST critical care, 1(3).
  • Zhang, T., Gephart, S. M., Subbian, V., Boyce, R. D., Villa-Zapata, L., Tan, M. S., Horn, J., Gomez-Lumbreras, A., Romero, A. V., & Malone, D. C. (2023). Barriers to Adoption of Tailored Drug-Drug Interaction Clinical Decision Support. Applied clinical informatics, 14(4), 779-788.
  • Alonso, A., Alam, A. B., Kamel, H., Subbian, V., Qian, J., Boerwinkle, E., Cicek, M., Clark, C. R., Cohn, E. G., Gebo, K. A., Loperena-Cortes, R., Mayo, K. R., Mockrin, S., Ohno-Machado, L., Schully, S. D., Ramirez, A. H., & Greenland, P. (2022). Epidemiology of atrial fibrillation in the All of Us Research Program. PloS One, 17(3), e0265498.
  • Ardalan, Z., & Subbian, V. (2022). Transfer Learning Approaches for Neuroimaging Analysis: A Scoping Review. Frontiers in artificial intelligence, 5, 780405.
  • Essay, P. T., Mosier, J. M., Nayebi, A., Fisher, J. M., & Subbian, V. (2022). Predicting Failure of Noninvasive Respiratory Support Using Deep Recurrent Learning. Respiratory Care.
  • Essay, P., Fisher, J. M., Mosier, J. M., & Subbian, V. (2022). Validation of an Electronic Phenotyping Algorithm for Patients With Acute Respiratory Failure. Critical care explorations, 4(3), e0645.

Proceedings Publications

  • Budinoff, H., Subbian, V., & Lopez, F. (2022). Integrating Asset-based Practices into Engineering Design Instruction. In 2022 ASEE Annual Conference & Exposition.
  • Subbian, V., Shaw, L., & Halpin, C. (2022). Ethical Decision-Making Frameworks for Engineering Education: A Cross-Disciplinary Review. In 2022 ASEE Annual Conference & Exposition.
  • Budinoff, H. D., & Subbian, V. (2021). Asset-based Approaches to Engineering Design Education: A Scoping Review of Theory and Practice. In 2021 ASEE Annual Conference.
  • Subbian, V., Franco, M., & Lozano, G. (2019, 6). STEM Servingness at Hispanic-Serving Institutions. In ASEE Annual Conference & Exposition.
  • Alvarez, A. M., Johnson, P. C., Shaw, L. R., Zawada, S., Franco, M. A., & Subbian, V. (2018, April). Beyond Ramps and Signs: Rethinking Support Structures for Engineering Students with Disabilities. In ASEE Collaborative Network for Engineering and Computing Diversity Conference.
  • Lozano, G. I., Franco, M. A., & Subbian, V. (2018, April). Transforming STEM Education in Hispanic Serving Institutions in the United States: A Consensus Report. In Available at SSRN: ssrn.com/abstract=3238702.
  • Vezino, B., Alvarez, A. M., Hempel, B., Loera, C. J., Davidson, S., Boyd, S., & Subbian, V. (2018, June). Re-envisioning the Role of the Engineering Education Chapter at a Research-I Institution: Lessons from a Cross-disciplinary Model. In ASEE Annual Conference.
  • Subbian, V., Niu, N., & Purdy, C. (2016, 6). Inclusive and Evidence-based Instruction in Software Testing Education. In Annual ASEE Conference.
  • Subbian, V., Purdy, C., & Beyette, F. R. (2016). UnLecture on Software Engineering Ethics. In Infusing Ethics into the Development of Engineers: Exemplary Education Activities and Programs, 17-18.
  • Subbian, V., Bucks, G., & Heikenfeld, J. (2015, 6). Inverting Instruction in a Semiconductor Devices Course: A Case Study of a Flipped Electrical Engineering Classroom. In Annual ASEE Conference.
  • Ratcliff, J. J., Meunier, J. M., Unruh, D., Korfhagen, J. J., Subbian, V., Hart, K. W., Beyette, F. R., Shaw, G. J., Lindsell, C. J., & Bogdanov, V. Y. (2014, 5). A Potential Novel Biomarker of Injury Observed through Activation of the Coagulation Cascade in Mild Traumatic Brain Injury. In Academic Emergency Medicine, 21, S254-S255.
  • Simkins, J. R., Subbian, V., & Beyette, F. R. (2014, 7). A programmable point-of-care device for external CSF drainage and monitoring. In Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, 2161-2164.
  • Subbian, V., & Purdy, C. (2014, 6). A Hybrid Design Methodology for an Introductory Software Engineering Course with Integrated Mobile Application Development. In Annual ASEE Conference.
  • Subbian, V., & Purdy, C. (2014, 6). UnLecture: Bridging the Gap between Computing Education and Software Engineering Practice. In Annual ASEE Conference.
  • Subbian, V., Beyette, F., & Purdy, C. (2014, 6). UnLecture: A Novel Active Learning Based Pedagogical Strategy for Engineering Courses. In Annual ASEE Conference.

Awards

  • Excellence at the Student Interface Award
    • Department of Biomedical Engineering, College of Engineering, Spring 2023
    • Department of Biomedical Engineering, College of Engineering, Spring 2021
    • Department of Biomedical Engineering, College of Engineering, Spring 2019
  • Arizona Champion
    • Office of the Provost, Spring 2022