Puneet Kumar Jain

About

Dr. Puneet Kumar Jain is currently associated with the Department of Computer Science and Engineering at Dr B R Ambedkar National Institute of Technology Jalandhar, 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 served 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. Furthermore, he has contributed as a reviewer for several esteemed international journals and conferences.

Employment

• Dr. B. R. Ambedkar National Institute of Technology Jalandhar Assistant Professor
  2025 - Present
• National Institute of Technology Rourkela Assistant Professor
  2020 - 2025
• LNM Institute of Information Technology Assistant Professor
  2018 - 2020
• Jaypee University of Information Technology Assistant professor
  2016 - 2018

Education

• Delhi Technological University M.Tech.
  2009 - 2011
• Govt. Engineering college bikaner B.E.
  2005 - 2009

Projects & Funding

Projects & funding information is unavailable.

Publications (34)

• A triaxial accelerometer-based approach for motion noise resilient segmentation of seismocardiogram signal
  Physical and Engineering Sciences in Medicine 2026 DOI: 10.1007/s13246-026-01741-3
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• Adaptive thresholding of DWT coefficients using UNet for denoising real-life respiratory sounds
  Biomedical Signal Processing and Control 2026 DOI: 10.1016/j.bspc.2025.108232
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• Quantum LBP-driven heart sound analysis with quality assessment in real-world noisy environments
  Computer Methods and Programs in Biomedicine 2026 DOI: 10.1016/j.cmpb.2025.109082
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• Highly specific blood cell classification using a novel deep learning framework with an interactive cloud-based GUI
  Biomedical Signal Processing and Control 2026 DOI: 10.1016/j.bspc.2026.110469
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• A Comparative Performance Assessment for Prediction of Loan Approval in Financial Sector
  Procedia Computer Science 2025 DOI: 10.1016/j.procs.2025.04.267
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• A comparative performance analysis of vehicular routing protocols in intelligent transportation systems
  Telecommunication Systems 2025 DOI: 10.1007/s11235-024-01243-1
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• A multi-objective approach for secure cluster based routing & attack classification in VANETs
  Peer to Peer Networking and Applications 2025 DOI: 10.1007/s12083-024-01895-5
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• AUGAN-Net: A Denoising Model Revolutionizing Automated Remote Heart Sound Signal Analysis
  IEEE Transactions on Consumer Electronics 2025 DOI: 10.1109/TCE.2025.3630789
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• Research Challenges and Future Perspective for Brain Stroke Lesions Segmentation
  Communications in Computer and Information Science 2025 DOI: 10.1007/978-3-031-81339-9_7
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• SimpleRNN Based Human Emotion Recognition Using EEG Signals
  Communications in Computer and Information Science 2025 DOI: 10.1007/978-3-031-81339-9_5
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