Jayeeta Chakraborty

Assistant Professor

Jayeeta Chakraborty completed her Ph.D. with a thesis on “Quantitative Analysis of Gait Disorder using Machine Learning Techniques” from the department of Computer Science and Engineering in National Institute of Technology, Rourkela. She received her Master's degree from National Institute of Technology, Kurukshetra in the year 2017. Her current research interests include human gait analysis, pattern recognition, signal and image processing as well as data mining, recommendation systems, and semantic web. She has authored the book ``Modern Methods for Affordable Clinical Gait Analysis: Theories and Applications in Healthcare Systems''. She also has publications in reputed journals and international conferences. You can read more about her works from https://jayeetachakrabrty.blogspot.com/

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Research Interests
Human Gait Analysis, Signal Processing, Machine Learning, Pattern Recognition, Recommendation Systems.

Outreach Activity
Registered copyright (under Indian Copyright (Amendment) Act, 2012) of a web application tool, VizGaitAssist, for assistance in gait cycle event annotation process for healthcare applications using Python Flask,
Books :
A. Nandy, S. Chakraborty, J. Chakraborty, and G. Venture, Modern Methods for Affordable Clinical Gait Analysis: Theories and Applications in Healthcare Systems, Elsevier, Academic Press, 2021, ISBN -