Research output per year
Research output per year
Personal profile
About
Tanvi Banerjee is an Assistant Professor in the Department of Computer Science and Engineering at Wright State University. Her research involves multimodal data fusion, machine learning, computer vision, and mobile healthcare technologies. Before joining WSU, Dr. Banerjee was a Postdoctoral Research Fellow and a Research Assistant Professor in the Kno.e.sis center at Wright State University. During her postdoc, she contributed to the NIH-funded Depression project to understand the role of social media and patient forum data for healthcare management in the domain of major depressive disorder. Currently, she is the primary investigator on an NIH K01 funded project on dementia management using wearable sensors and smartphone technology. She is also a co-investigator in the NIH R01 funded Asthma Management project. Her research lies in the intersection of machine learning and chronic disease management.
Dr. Banerjee received her Master's degree and her Ph.D. from University of Missouri in 2014. From 2008 to 2014, as a member of CERT (Center for Eldercare and Rehabilitation Technology), she worked as a research assistant and a graduate instructor for the NSF HCC project. Her PhD thesis focuses on the detection of activities of daily living and sedentary behavior patterns in older adults using depth imagery.
Related documents
Education/Academic qualification
Electrical and Computer Engineering, Ph.D, University of Missouri
2010 → 2014
Electrical and Computer Engineering, M.S., University of Missouri
2008 → 2010
Electronics and Telecommunications Engineering, B.S., Pune University, India
2003 → 2007
Research Interests
- Gender Based Violence Studies
- Dementia and Smartphone Technology
- Smart Health
Disciplines
- Engineering
- Computer Engineering
- Medicine and Health Sciences
- Geriatrics
- Physical Sciences and Mathematics
- Computer Sciences
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A Preliminary Study of the Efficacy of Using a Wrist-Worn Multiparameter Sensor for the Prediction of Cognitive Flow States in University-Level Students
Graft, J., Romine, W., Watts, B., Schroeder, N., Jawad, T. & Banerjee, T., Apr 2023, In: Sensors. 23, 8, 3957.Research output: Contribution to journal › Article › peer-review
Open Access -
Dynamic Topic Modeling to Mine Themes and Evolution during the Initial COVID-19 Vaccine Rollout
Agarwal, A., Patel, D. B., Burwell, E., Romine, W. L. & Banerjee, T., Jun 2023, In: Health Behavior and Policy Review. 10, 3, p. 1267-1278 12 p.Research output: Contribution to journal › Article › peer-review
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Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure
Agarwal, A., Banerjee, T., Romine, W., Thirunarayan, K., Chen, L. & Cajita, M., May 30 2023, In: arXiv preprint arXiv:2305.19373.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure
Agarwal, A., Banerjee, T., Romine, W. L., Thirunarayan, K., Chen, L. & Cajita, M., 2023, Proceedings - 2023 IEEE International Conference on Digital Health, ICDH 2023. Chang, C. K., Chang, R. N., Fan, J., Fox, G. C., Jin, Z., Pravadelli, G. & Shahriar, H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 208-216 9 p. (Proceedings - 2023 IEEE International Conference on Digital Health, ICDH 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Predicting Thermoelectric Power Factor of Bismuth Telluride During Laser Powder Bed Fusion Additive Manufacturing
Agarwal, A., Banerjee, T., Gockel, J., LeBlanc, S., Walker, J. & Middendorf, J., Mar 28 2023, In: arXiv preprint arXiv:2303.15663.Research output: Contribution to journal › Article › peer-review
Open AccessFile