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Dr. Tanvi Banerjee is an esteemed academic and researcher at Wright State University, Dayton, Ohio, where she serves as an Associate Professor in the Department of Computer Science and Engineering. With a focus on health informatics and wearable sensor technology, Dr. Banerjee has made significant contributions to the intersection of computer science and healthcare, advancing data-driven solutions for patient care and monitoring.
Dr. Banerjee holds advanced degrees in computer science and engineering, equipping her with a robust foundation for her interdisciplinary research:
Dr. Banerjee’s research primarily focuses on health informatics, wearable sensor systems, and machine learning applications in healthcare. Her work explores innovative ways to use data from wearable devices to monitor and predict health outcomes, particularly for aging populations and patients with chronic conditions. She is also interested in human-computer interaction and the ethical implications of health data usage.
Dr. Banerjee has built a progressive career in academia, with key positions at Wright State University and prior research roles:
Dr. Banerjee has been recognized for her contributions to computer science and health informatics through various accolades:
Dr. Banerjee has authored and co-authored numerous peer-reviewed papers and articles in prestigious journals and conference proceedings. Below is a selection of her notable works (based on publicly available data):
Additional publications and citation metrics are available through academic databases such as Google Scholar and ResearchGate.
Dr. Banerjee’s research has had a notable impact on the field of health informatics, particularly in the development of non-invasive monitoring systems for elderly care and chronic disease management. Her work on integrating wearable sensor data with machine learning algorithms has contributed to advancements in personalized healthcare, influencing both academic research and practical applications in medical settings. Her projects often involve interdisciplinary collaboration, bridging computer science with clinical practice.
Dr. Banerjee is actively involved in the academic community, contributing through lectures, mentorship, and professional service: