
Vignesh Subbian
- Assistant Professor, Biomedical Engineering
- Assistant Professor, Systems and Industrial Engineering
- Assistant Professor, BIO5 Institute
- Assistant Professor, Clinical Translational Sciences
- Assistant Professor, Statistics-GIDP
- Assistant Professor, Applied Mathematics - GIDP
- (520) 621-6559
- Engineering, Rm. 310
- Tucson, AZ 85721
- vsubbian@email.arizona.edu
Biography
Vignesh Subbian is an Assistant 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, an engineering-driven, cross-disciplinary biomedical research and training hub at the UA. 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. Currently, he co-leads the STEM in HSI working group and the Data Science Ambassadors Program 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.
Degrees
- 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
Awards
- Center for University Education Scholarship (CUES) Distinguished Fellow
- The University of Arizona, Spring 2018
Interests
Teaching
Software Engineering, Biomedical Data Science and Informatics, Ethics and Professional and Social Responsibility
Research
Medical Informatics, Healthcare Systems Engineering, Computing Applications for Critical Care Medicine, Traumatic Brain Injury, STEM Integration, Engineering Ethics, Formation of Engineers
Courses
2018-19 Courses
-
Arti Intelli for Hlth & Med
BME 578 (Spring 2019) -
Arti Intelli for Hlth & Med
SIE 578 (Spring 2019) -
Dissertation
SIE 920 (Spring 2019) -
Research
SIE 900 (Spring 2019) -
BME Statistics
BME 376 (Fall 2018) -
Honors Independent Study
NSCS 499H (Fall 2018) -
Honors Thesis
PSIO 498H (Fall 2018) -
Intro to Biomedi Informatics
BME 477 (Fall 2018) -
Intro to Biomedi Informatics
BME 577 (Fall 2018) -
Intro to Biomedi Informatics
SIE 477 (Fall 2018) -
Intro to Biomedi Informatics
SIE 577 (Fall 2018) -
Research
SIE 900 (Fall 2018)
2017-18 Courses
-
Independent Study
BME 599 (Summer I 2018) -
Arti Intelli for Hlth & Med
BME 578 (Spring 2018) -
Directed Research
BME 492 (Spring 2018) -
Honors Thesis
PSIO 498H (Spring 2018) -
Thesis
BME 910 (Spring 2018) -
Thesis
SIE 910 (Spring 2018) -
Directed Research
BIOC 492 (Fall 2017) -
Directed Research
PSIO 492 (Fall 2017) -
Honors Thesis
PSIO 498H (Fall 2017) -
Intro to Biomedi Informatics
BME 477 (Fall 2017) -
Intro to Biomedi Informatics
BME 577 (Fall 2017) -
Intro to Biomedi Informatics
SIE 577 (Fall 2017) -
Thesis
BME 910 (Fall 2017) -
Thesis
SIE 910 (Fall 2017)
2016-17 Courses
-
Directed Research
PSIO 492 (Summer I 2017) -
Directed Research
BME 492 (Spring 2017) -
Honors Independent Study
PSIO 499H (Spring 2017) -
Honors Thesis
MCB 498H (Spring 2017) -
Intro to Biomedi Informatics
BME 477 (Spring 2017) -
Intro to Biomedi Informatics
BME 577 (Spring 2017) -
Intro to Biomedi Informatics
SIE 477 (Spring 2017) -
Intro to Biomedi Informatics
SIE 577 (Spring 2017)
Scholarly Contributions
Journals/Publications
- Essay, P., Shahin, T. B., Balkan, B., Mosier, J., & Subbian, V. (2019). The Connected Intensive Care Unit Patient: Exploratory Analyses and Cohort Discovery From a Critical Care Telemedicine Database. JMIR Medical Informatics, 7(1), e13006.
- Galvin, H. K., Petersen, C., Subbian, V., & Solomonides, A. (2019). Patients as Agents in Behavioral Health Research and Service Provision: Recommendations to Support the Learning Health System. Applied Clinical Informatics, 10(5), 841-848.More infoAuthentic inclusion and engagement of behavioral health patients in their care delivery and in the process of scientific discovery are often challenged in the health care system. Consequently, there is a growing need to engage with and better serve the needs of behavioral health patients, particularly by leveraging health information technologies. In this work, we present rationale and strategies for improving patient engagement in this population in research and clinical care. First, we describe the potential for creating meaningful patient-investigator partnerships in behavioral health research to allow for cocreation of knowledge with patients. Second, in the context of behavioral health services, we explore the utility of sharing clinical notes to promote patients' agency in care delivery. Both lines of inquiry are centered in a Learning Health System model for behavioral health, where patients are agents in enhancing the therapeutic alliance and advancing the process of knowledge generation. Recommendations include genuinely democratizing the health care system and biomedical research enterprise through patient-centered information technologies such as patient portals. In research and technology development, we recommend seeking and tailoring behavioral health patients' involvement to their abilities, promoting patient input in data analysis plans, evaluating research and informatics initiatives for patients and clinicians, and sharing success and research findings with patients. In clinical practice, we recommend encouraging patients to read behavioral health notes on portals, engaging in proactive communication regarding note content, assessing outcomes including stress and anxiety in response to note content, and working with technology providers to support note-sharing governance and deployment.
- Rowe, R. K., Harrison, J. L., Morrison, H., Subbian, V., Murphy, S. M., & Lifshitz, J. (2018). Acute Post-traumatic Sleep may define Vulnerability to a Second Traumatic Brain Injury in Mice. Journal of Neurotrauma.
- Schmitz, H., Howe, C. L., Armstrong, D. G., & Subbian, V. (2018). Leveraging Mobile Health Applications for Biomedical Research and Citizen Science: A Scoping Review. Journal of the American Medical Informatics Association, 25(12), 1685-1695.
- Shahin, T. B., Vaishnav, K. V., Watchman, M., Subbian, V., Larson, E., Chnari, E., & Armstrong, D. G. (2017). Tissue Augmentation with Allograft Adipose Matrix For the Diabetic Foot in Remission. Plastic and reconstructive surgery. Global open, 5(10), e1555.
- Tenenbaum, J. D., Bhuvaneshwar, K., Gagliardi, J. P., Fultz Hollis, K., Jia, P., Ma, L., Nagarajan, R., Rakesh, G., Subbian, V., Visweswaran, S., Zhao, Z., & Rozenblit, L. (2017). Translational bioinformatics in mental health: open access data sources and computational biomarker discovery. Briefings in bioinformatics.
- Subbian, V., Ratcliff, J. J., Korfhagen, J. J., Hart, K. W., Meunier, J. M., Shaw, G. J., Lindsell, C. J., & Beyette, F. R. (2016). 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 Postconcussion Symptoms at Follow‐up?. Academic Emergency Medicine, 23(4), 382-392.
- Duran, C., Subbian, V., Giovanetti, M. T., Simkins, J. R., & Beyette Jr, F. (2015). Experimental desktop 3D printing using dual extrusion and water-soluble polyvinyl alcohol. Rapid Prototyping Journal, 21(5), 528-534.
- Subbian, V., Ratcliff, J. J., Meunier, J. M., Korfhagen, J. J., Beyette, F. R., & Shaw, G. J. (2015). 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, 3, 1-9.
Proceedings Publications
- 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: https://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.
- Subbian, V., Meunier, J. M., Korfhagen, J. J., Ratcliff, J. J., Shaw, G. J., & Beyette, F. R. (2014, 7). Quantitative assessment of post-concussion syndrome following mild traumatic brain injury using robotic technology. In Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, 5353-5356.
- Voss, T. J., Subbian, V., & Beyette, F. R. (2014, 7). Feasibility of energy harvesting techniques for wearable medical devices. In Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, 626-629.
- Wright, K., Sherman, M., Cargile, R., & Subbian, V. (2014, 3). CincySTEM Urban Initiative: Designing pathways to science and engineering disciplines through project-based learning. In Integrated STEM Education Conference (ISEC), 2014 IEEE, 1-5.
- Zirger, B., Rutz, E., Boyd, D., Tappel, J., & Subbian, V. (2014, 3). Creating pathways to higher education: a cross-disciplinary MOOC with graduate credit. In Integrated STEM Education Conference (ISEC), 2014 IEEE, 1-5.
- Al-Deneh, Z., Ambekar, D., Dao, T., Dziech, A. L., Subbian, V., & Beyette, F. R. (2013, 7). Experimental validation of a microcontroller-based wireless device to quantify head impacts. In Circuits and Systems (MWSCAS), 2013 IEEE 56th International Midwest Symposium on, 392-395.
- Ambekar, D., Al-Deneh, Z., Dao, T., Dziech, A. L., Subbian, V., & Beyette, F. R. (2013, 7). Development of a point-of-care medical device to measure head impact in contact sports. In Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE, 4167-4170.
- Subbian, V. (2013, 3). Role of MOOCs in integrated STEM education: A learning perspective. In Integrated STEM Education Conference (ISEC), 2013 IEEE, 1-4.
- Subbian, V., & Beyette, F. R. (2013, 10). Developing a new advanced microcontrollers course as a part of embedded systems curriculum. In Frontiers in Education Conference, 2013 IEEE, 1462-1464.
- Subbian, V., & Purdy, C. (2013, 3). Redesigning an advanced embedded systems course: A step towards interdisciplinary engineering education. In Integrated STEM Education Conference (ISEC), 2013 IEEE, 1-4.
- Subbian, V., Wilsey, P. A., & Beyette, F. R. (2013, 11). Heuristic evaluation of user interface for point-of-care diagnosis and rehabilitation of mild Traumatic Brain Injury. In Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on, 1250-1253.
- Subbian, V., Wilsey, P. A., & Beyette, F. R. (2013, 7). Design and development of a robotic system for clinical assessment of motor deficits. In Circuits and Systems (MWSCAS), 2013 IEEE 56th International Midwest Symposium on, 1275-1277.
- Subbian, V., Wilsey, P. A., & Beyette, F. R. (2013, 7). Development and evaluation of hardware for point-of-care assessment of upper-limb motor performance. In Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE, 938-940.
- Subbian, V., Beyette, F. R., & Wilsey, P. A. (2012, 7). Design and usability of a medical computing system for diagnosis of mild traumatic brain injury. In Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE, 996-999.