Tanvi Banerjee, Ph.D.
Dr. 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 academic focus has been at the crossroads of AI and healthcare; in particular revolving around multimodal data fusion, wearable sensing, and mobile healthcare technologies. She has been a recipient of the prestigious K01 grant awarded by NIH (equivalent to the CAREER pathway in NSF) for the project on Dementia Management using smartphone technologies and a co-investigator in the NIH R01 funded Sickle Cell Disease project. Her work has been featured in the Dayton Daily News, Research Features' Women in Science, Alzheimer's Association as well as Fairborn Daily News.
Her goal is to bridge the gap between clinical knowledge and data-driven understanding from a patient's behavioral and biophysical information through the use of non-invasive sensing technologies. 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 focused on the detection of activities of daily living and sedentary behavior patterns in older adults using depth imagery.
Associate Editor: IEEE Transactions in Fuzzy Systems (link)
Scientific events and conferences: AAAI, EMBS, HIMS, FUZZ-IEEE, IEEE CEC
Program Committee Member for: ACM SAC's Cognitive Computing track 2017, 2018
Reviewer for: IEEE BME, JAISE, Sensors, IEEE TFS
Panelist Reviewer for: NSF GRFP 2016, 2018
Students: Brad Schneider, Swati Padhee, Amanuel Alambo, Alex Groeger
Past Students: Reza Sadeghi, Fan Yang, Garrett Goodman, Roopteja Muppalla, Ravali Mamidi, Shufa Khizra, Abby Edwards
Online profile: LinkedIn, Google Scholar
Scientific events and conferences: AAAI, EMBS, HIMS, FUZZ-IEEE, IEEE CEC
Scientific events and conferences: AAAI, EMBS, HIMS, FUZZ-IEEE, IEEE CEC
Teaching
Spring 2021
- CS 3840 Applied Machine Learning
Spring 2018
- CS 3900 Applied Machine Learning: see syllabus
Fall 2017, 2016
- CS 7830 Machine Learning: see syllabus
Spring 2016
- CS 4800/6800/7900 Web Information Systems: see website
- CEG 3310/5310 Computer Organization
Fall 2015
- CS 7830 Machine Learning: see syllabus
Spring 2015
- CS 4800/6800/7900 Web Information Systems: see website
- CEG 3320/5320 Digital Systems Design
Fall 2014
- CEG 3320/5320 Digital Systems Design
Research Statement
- Current Projects
- Dementia - This project focuses on the use of smartphone technology along with monitoring physiological symptoms of dementia patients and their caregivers using wearable sensors.
- Collaborators: Dr. Larry Lawhorne, Dr. Matthew Peterson, Dr. Andrew Froehle, Dr. Jennifer Hughes, Dr. LaTrelle Jackson
- Students: Chase Parks, Cogan Shimizu, Quintin Oliver
- Asthma
- Gender Based Violence Studies: please see our preliminary work on analyzing gender based violence content using Big Data. We used Twitter data to study the behavior of people across different countries, times, and genders. Please see the paper for more details.
- Dementia - This project focuses on the use of smartphone technology along with monitoring physiological symptoms of dementia patients and their caregivers using wearable sensors.
- Previous Work on Activities of Daily Living for Older Adults
- Please check out this link for my work on ADLs using Kinect sensors: ADL [*recent paper]
- For more details on my previous work using both RGB and depth sensors, please go to the Eldertech website to take a look at my group's work.
