Rate My Professor Tanvi Banerjee

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).