Rate My Professor Tanvi Banerjee

Tanvi Banerjee is an Associate Professor in the Department of Computer Science and Engineering at Wright State University, with a secondary appointment in the Department of Geriatrics at the Boonshoft School of Medicine. She earned her Master's degree and Ph.D. from the University of Missouri in 2014, with her doctoral research focusing on the detection of activities of daily living and sedentary behavior patterns in older adults using depth imagery. Prior to her faculty appointment, Banerjee served as a Postdoctoral Research Fellow and Research Assistant Professor at the Kno.e.sis Center at Wright State University. She directs the Data Science for Healthcare (DASH) Laboratory, co-led with Dr. William Romine, which applies non-invasive sensing technologies to bridge clinical knowledge and data-driven insights from patients' behavioral and biophysical information. Her career trajectory includes contributions to NSF-funded projects during her graduate studies at the Center for Eldercare and Rehabilitation Technology.

Banerjee's research centers on multimodal data fusion, machine learning, computer vision, wearable sensing, and mobile healthcare technologies, particularly for chronic disease management in areas such as dementia, sickle cell disease, asthma, depression, and gender-based violence. She is the principal investigator on an NIH K01 grant-equivalent to NSF CAREER-for dementia management using smartphone technologies and a co-investigator on NIH R01-funded projects for sickle cell disease and the KHealth asthma management initiative. In 2018-19, she received Wright State University's Presidential Award for Faculty Excellence: Early Career Achievement, honoring her 21 journal articles, 25 refereed conference papers, over $900,000 in funding, excellent teaching across levels, and extensive service including department committees and advising the National Center for Women and Information Technology. She serves as Associate Editor for IEEE Transactions on Fuzzy Systems and program committee member for conferences like ACM SAC and FUZZ-IEEE. Her work has garnered over 2,277 citations and media features in Research Features' Women in Science and Dayton Daily News. Key publications include 'Understanding Physiological Responses for Intelligent Posture and Autonomic Response Detection Using Wearable Technology' (Algorithms, 2025), 'Advancing Chest X-ray Diagnostics via Multi-Modal Neural Networks with Attention' (2024), 'Exploring Gender Differences in Chronic Pain Discussions on Reddit' (2026), 'Sleep quality prediction in caregivers using physiological signals and machine learning' (Computers in Biology and Medicine, 2019), and 'Toward Sensor-Based Sleep Monitoring with Electrodermal Activity Measures' (2019).