Tanvi Banerjee, Ph.D.

Computer Science
Assistant Professor
Joshi Research Center 389, 3640 Colonel Glenn Hwy, Dayton, OH 45435-0001


Tanvi Banerjee is an Assistant 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.siscenter 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. 

   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

   Students: Reza SadeghiFan YangBrad SchneiderGarrett GoodmanRoopteja MuppallaRavali MamidiJoseph Hendrix, Abby Edwards

   Online profile: LinkedInGoogle Scholar









Fall 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. 
    • 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.


  • 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. 
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