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Puneet Kumar Jain

Assistant Professor, Computer Science and Engineering Department · National Institute of Technology Jalandhar

https://researchid.co/puneet5246
@nitj.ac.in
10Scopus Publications
608Google Scholar Citations
13Google Scholar h-index
13Google Scholar i10-index

Biography

Dr. Puneet Kumar Jain is currently associated with the Department of Computer Science and Engineering at the National Institute of Technology Jalandha, India. He earned his PhD from the Indian Institute of Technology Jodhpur, his M.Tech from Delhi Technological University, and his B.Tech from Engineering College Bikaner. As a senior member of IEEE, he also holds the position of vice-secretary of the IEEE Rourkela Subsection. Additionally, he serves as the Professor-in-Charge of the Centre for Automation Technology at the National Institute of Technology Rourkela. Dr. Jain’s areas of interest include signal and image processing, time-frequency analysis, and wearable healthcare. His research is centred on Digital Healthcare, with a particular focus on healthcare technology and algorithm development aimed at improving patient diagnosis, assessment, and remote healthcare. His work has been published in peer-reviewed and SCI-indexed international journals and reputed conferences.

Education

Ph.D. (Indian Institute of Technology Jodhpur, Jodhpur) February 2018 Center for Information and Communication Technology Thesis Title: Processing of Heart Sound Signal to Monitor Cardiovascular Functions in Real-life Scenario Thesis supervisor: Dr. Anil Kumar Tiwari CPI in course work: 7.75 M. Tech. (Delhi Technological University, Delhi) July 2011 Department of Information Technology Thesis Title: Fuzzy and non-fuzzy region growing techniques for color image segmentation Thesis supervisor: Dr.Seba Susan CGPA in course work: 8.66 B. Tech. (Government Engineering College Bikaner, Bikaner) June...

Recent Scopus Publications

  1. A Robust Algorithm for Segmentation of Phonocardiography Signal Using Tunable Quality Wavelet Transform
    Journal of Medical and Biological Engineering, 2018
  2. An adaptive thresholding method for the wavelet based denoising of phonocardiogram signal
    Biomedical Signal Processing and Control, 2017
  3. An algorithm for automatic segmentation of heart sound signal acquired using seismocardiography
    2016 International Conference on Systems in Medicine and Biology Icsmb 2016, 2017
  4. Seismocardiography: An alternate method to estimate electro-mechanical window
    2016 International Conference on Systems in Medicine and Biology Icsmb 2016, 2017
  5. A novel method for suppression of motion artifacts from the seismocardiogram signal
    International Conference on Digital Signal Processing DSP, 2016

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