Tanvi Banerjee, Ph.D.

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

Biography:  Dr. Tanvi Banerjee is an Assistant Professor at the Department of Computer and Engineering at Wright State University, and is a member of the Kno.e.sis Center: the Ohio Center of Excellence in Knowledge-enabled Computing. She received her Ph.D. at the Center for Eldercare and Rehabilitation Technology at University of Missouri, Columbia in 2014. Her research areas include multimodal data fusion from imaging, wearable devices, mobile health, and social media. She uses these data to build personalized behavior models for applications like eldercare that continuously, and ubiquitously track the physical and cognitive health of elderly residents in their homes and generate alerts based on detection of health changes, increasing fall risk, and actual fall events. Dr. Banerjee is a recent recipient of the early career development NIH K01 award: Managing Dementia through a Multisensory Smart Phone Application to Support Aging in Place, and is a co-investigator in an NIH R01 project: Semantic Multisensory Mobile Approach to Personalized Asthma Care. She has served as a reviewer for several technical venues like IEEE TFS, BME, Sensors, and is a Program committee member for ACM Symposium on Applied Computing, 2017.  

    Scientific events and conferences: AAAI, EMBS, HIMS, FUZZ-IEEE, IEEE CEC

    Reviewer for: IEEE BME, JAISE, Sensors, IEEE TFS 
   Panelist Reviewer for: NSF GRFP 2016

   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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