Skip to main content

Sarbani Chakraborty Chakraborty

Ph.D(Tech),University of Calcutta, Instrumentation Engineering Section M.Tech (Measurement and Instrumentation), University of Calcutta B.Tech (Measurement and Instrumentation), University of Calcutta B.Sc.(Physics Honours), Lady Brabourne College, University of Calcutta

Date of Joining: 9th May, 2024
  • Dept. of CSE, BIT, Mesra, Ranchi-835215
  • -
    |
    -

Research Areas

  • Deep Learning: Currently working on pre-impact fall detection in a homely environment through extraction of deep features
  • Shallow Machine Learning: Diagnosis of pathological gait in people with Cerebral Palsy through machine intelligence
  • Pattern Recognition: Gait event prediction by investigating the temporal gait pattern

Work Experience

  • Teaching: 5 Years
  • Research: 9 Years


<!-- THEME DEBUG -->
<!-- THEME HOOK: 'field' -->
<!-- FILE NAME SUGGESTIONS:
   ▪️ field--node--title--faculty.html.twig
   ✅ field--node--title.html.twig
   ▪️ field--node--faculty.html.twig
   ▪️ field--title.html.twig
   ▪️ field--string.html.twig
   ▪️ field.html.twig
-->
<!-- BEGIN OUTPUT from 'themes/contrib/bootstrap_barrio/templates/field/field--node--title.html.twig' -->
<span class=Sarbani Chakraborty " width="406" height="371" loading="lazy" >

Academic Profile

Award and Honours
Award and Honours

5

Total Award and Honours

Leadership & Institutional Service

Teaching & Mentorship

Award and Honours

Received the 2nd best paper award in the Shared Task on Sentiment Analysis in Indian Languages (SAIL) Tweets, MIKE 2015 conference, Hyderabad, India.

Awarded MHRD fellowship for Ph.D

Program Committee Member of 20th India Council International Conference (INDICON), IEEE.

Intellectual Property Rights (IPR)

  • A Pathological Gait Detection Tool for Healthcare Applications

    • Date: