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Brief Bio
Brief Bio
Tanvi Banerjee is an Associate Professor in the Department of Computer Science and Engineering at Wright State University and a secondary appointment at the Department of Geriatrics at the Boonshoft School of Medicine. 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 a PI on an NIH K01 project on Dementia Management using smartphone technologies and a co-investigator in the NIH R01 funded Asthma Management project. She is also actively working on a project on dementia management using wearable sensors and smartphone technology. More details on the project will follow soon. For more details, please take a look at her cv here.
Tanvi Banerjee is an Associate Professor in the Department of Computer Science and Engineering at Wright State University and a secondary appointment at the Department of Geriatrics at the Boonshoft School of Medicine. 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 a PI on an NIH K01 project on Dementia Management using smartphone technologies and a co-investigator in the NIH R01 funded Asthma Management project. She is also actively working on a project on dementia management using wearable sensors and smartphone technology. More details on the project will follow soon. For more details, please take a look at her cv here.
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.
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.
Scientific events and conferences: AAAI, EMBS, HIMS, FUZZ-IEEE, IEEE CEC
Scientific events and conferences: AAAI, EMBS, HIMS, FUZZ-IEEE, IEEE CEC
Reviewer for: IEEE BME, JAISE, Sensors, IEEE TFS
Reviewer for: IEEE BME, JAISE, Sensors, IEEE TFS
Current Students: Ancita Andrade, Chaitanya Vardhini Anumula, Derrick Cox, Amelia Whorton, Rebecca McCullough, Raghavendra Chitroju
Current Students: Ancita Andrade, Chaitanya Vardhini Anumula, Derrick Cox, Amelia Whorton, Rebecca McCullough, Raghavendra Chitroju
Past Students: Reza Sadeghi, Fan Yang, Brad Schneider, Swati Padhee, Amanuel Alambo, Garrett Goodman, Roopteja Muppalla, Ravali Mamidi, Joseph Hendrix, Abby Edwards
Past Students: Reza Sadeghi, Fan Yang, Brad Schneider, Swati Padhee, Amanuel Alambo, Garrett Goodman, Roopteja Muppalla, Ravali Mamidi, Joseph Hendrix, Abby Edwards
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