National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance

Faculty Profile

ORCID ID
Scopus ID
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BIOGRAPHY

Dr. Puneet Kumar Jain is currently working as an Assistant Professor in the Department of CSE, National Institute of Technology Rourkela, Odisha. Dr Jain completed his PhD at the Indian Institute of Technology Jodhpur in 2018, an M.Tech degree from Delhi Technological University in 2011, and a B.Tech degree from Engineering College Bikaner in 2009. Dr. Jain has a research interest in AI for Smart Healthcare Applications, where his research focuses on healthcare technology and algorithm development, aiming to advance patient diagnosis, assessment and treatment. He has published his research in peer-reviewed and SCI-indexed International Journals and Conferences.

EXPERTISE INFORMATION

Research Group
  • Intelligent Computing and Computer Vision
Areas of Interest
  • Biomedical signal and image processing
  • AI and ML for Healthcare

Puneet Kumar Jain Assistant Professor Grade-II & PIC (Centre for Automation Technology)

Computer Science and Engineering

jainp@nitrkl.ac.in

Biosketch

14

PUBLICATIONS

1

SPONSORED PROJECTS

10

DOCTORAL STUDENTS

2

CONTINUING EDUCATION

PERSONAL INFORMATION

Puneet Kumar Jain

Assistant Professor Grade-II

Computer Science and Engineering

Room Number: CS-322

Department of Computer Science and Engineering, National Institute of Technology Rourkela, Sundargarh, Odisha, India - 769008

2018

Ph.D.
Information and Communication Technology
Indian Institute of Technology Jodhpur

2011

M.Tech
Information Systems
Delhi Technological University, Delhi

2009

B.E
Computer Science and Engineering
Govt. Engineering College Bikaner

Teaching Experience
  • Computer Science and Engineering,  NIT Rourkela,   18 Jun 2020 - Present
  • Computer Science and Engineering,  The LNM Institute of Information Technology, Jaipur,   01 Feb 2018 - 19 May 2020
  • Computer Science and Engineering,  Jaypee University of Information Technology, Solan,   08 Aug 2016 - 31 Jan 2018
Laboratory Development
  • AI for Smart Healthcare Applications,  NIT Rourkela,   AI for Smart Healthcare Applications (AISHA) Lab is situated in the Computer Science and Engineering Department. The Lab is equipped with various biomedical sensors and computing devices. The work in the lab is focused on developing smart healthcare solutions using artificial intelligence techniques for mHealth and uHealth.

Development of a low-cost system for self-monitoring of heart sound signals in daily-life scenarios. Science & Engineering Research Board(SERB)
  • Principal Investigator
  • 24
  • Running   Sponsored


GOOGLE SCHOLAR H-INDEX
GOOGLE SCHOLAR I10-INDEX
SCOPUS H-INDEX
Total Publications: 14
View All Publications

P. K. Jain and A. K. Tiwari,"A Robust Algorithm for Segmentation of Phonocardiography Signal Using Tunable Quality Wavelet Transform", Journal of Medical and Biological Engineering, vol.38, no.3, pp.396-410, SPRINGER, May 2017, 10.1007/s40846-017-0320-7       Article

P. K. Jain and A. K. Tiwari,"An adaptive thresholding method for the wavelet based denoising of phonocardiogram signal", Biomedical Signal Processing and Control, vol.38, pp.388-399, ELSEVIER 2017, 10.1016/j.bspc.2017.07.002       Article

P. K. Jain, A. K. Tiwari, and V. S. Chourasia,"Performance analysis of seismocardiography for heart sound signal recording in noisy scenarios", Journal of medical engineering & technology, vol.40, no.3, pp.106-118, Taylor & Francis, February 2016, 10.3109/03091902.2016.1139203       Article

P. K. Jain and A. K. Tiwari,"A Novel Method for Suppression of Motion Artifacts from the Seismocardiogram Signal", in 2016 IEEE International Conference on Digital Signal Processing (DSP), pp.6-10, IEEE, Beijing, China, October 2016, 10.1109/ICDSP.2016.7868504       Inproceedings

P. K. Jain and A. K. Tiwari,"Heart monitoring systems - A review", Computers in Biology and Medicine, vol.54, no.1, pp.1-13, ELSEVIER, August 2014, 10.1016/j.compbiomed.2014.08.014       Article

Exploring Deep Learning: Applications and Practical Implementations Computer Science and Engineering (Short-term Course)
Five-Day Short-Term Course on Deep Learning Applications for Smart Cities Computer Science and Engineering (Short-term Course)

  • CS2005 : Data Structures and Algorithms {Theory}
  • CS2061 : Data Structure Applications and Algorithms {Theory}
  • CS3003 : Object-Oriented System Design {Theory}
  • CS3004 : Software Engineering {Theory}
  • CS3303 : Computer Vision {Theory}
  • CS6412 : Artificial Intelligence {Theory}
  • CS6510 : Deep Learning {Theory}
  • CS1000 : Basic Programming {Practical}
  • CS2071 : Data Structure and Algorithms Laboratory {Practical}
  • CS2081 : Data Structure Applications and Algorithms Laboratory {Practical}
  • CS3074 : Software Engineering Laboratory {Practical}
  • CS4373 : Artificial Intelligence Laboratory {Practical}
  • CS4374 : Computer Vision Laboratory {Practical}

Ph.D. Students [6]
Biomedical Image Processing
Anita Saini
Enrolled: Aug 2021
Continuing
Supervisor
Machine learning applications for biomedical signals and images
Subhashree Sahoo
Enrolled: Feb 2022
Continuing
Supervisor
Medical Image Processing
Subhasikta Behera
Enrolled: Jul 2022
Continuing
Supervisor
Biomedical Signal Processing
Pratyusa Kumar Dwibedy
Enrolled: Jul 2022
Continuing
Supervisor
Biomedical signal analysis
Sima Das
Enrolled: Jan 2023
Continuing
Co-Supervisor
Artificial Intelligence for Smart Health Care
Anindita Jena
Enrolled: Jul 2023
Continuing
Supervisor
Executive Ph.D. Students [4]
Natural Language Processing
Sindhe Swetha
Enrolled: Jan 2021
Continuing
Co-Supervisor
Wireless Communications & VANETs
Aradhana Behura
Enrolled: Aug 2021
Continuing
Co-Supervisor
IoT and ML for Healthcare
Pallavi Sharma
Enrolled: Aug 2021
Continuing
Supervisor
Application AI/ML on Agriculture Input management
Niladri Bihari Mohanty
Enrolled: Aug 2023
Continuing
Supervisor

Awards And Honours
  • Travel grant to attend the conference, International Conference on Emerging Techniques in Computational Intelligence, ICETCI 2022,   2022
  • Best presenter award of the International Conference on Emerging Techniques in Computational Intelligence, ICETCI 2022 for the paper entitled “A Lightweight 1-D Convolution Neural Network Model for Multi-class Classification of Heart Sounds”,   2022
  • Outstanding contribution in reviewing, Journal: BSPC (ELSEVIER),   2020
Memberships / Fellowships
  • Institute for Electrical and Electronics Engineers (IEEE) (Senior IEEE Member),   2023
  • The Indian Society for Technical Education (Life member since 2018),   2023
  • The Institution of Engineers (India) (Life member since Jan 2023),   2023
  • Biomedical Engineering Society of India (Life member since May 2023),   2023
  • Computer Society of India (Life member since Oct 2023),   2023
  • MHRD, PhD fellowship,   2011
  • MHRD, MTech fellowship,   2009