National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance

Faculty Profile

BIOGRAPHY

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

EXPERTISE INFORMATION

Research Group
  • Intelligent Computing and Computer Vision
Areas of Interest
  • Signal and image processing
  • Digital Healthcare

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

Computer Science and Engineering

jainp@nitrkl.ac.in

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
  • Digital Healthcare Innovations,  NIT Rourkela,   Digital Healthcare Innovation (DHI) 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 digital 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

Total Publications: 14

K. Shweta, A. Kumar, and P. K. Jain,"Dealing with class imbalance in sentiment analysis using deep learning and SMOTE", in Advances in Data Computing, Communication and Security, vol.106, pp.407-416, Springer, lecture notes on data engineering and communications technologies, March 2022, 10.1007/978-981-16-8403-6_37       Inproceedings

P. K. Jain and Om. P. Mahela,"Automatic analysis of the heart sound signal to build smart healthcare system", Internet of Multimedia Things (IoMT) Techniques and Applications, ch.7, vol.1, pp.151-188, Academic Press, ELSELVIER, June 2022, 10.1016/B978-0-32-385845-8.00012-5       Inbook

P. K. Jain, R. R. Choudhary, and M. R. Singh,"A Lightweight 1-D Convolution Neural Network Model for Multi-class Classification of Heart Sounds", in 2022 International Conference on Emerging Techniques in Computational Intelligence (ICETCI), IEEE 2022, 10.1109/ICETCI55171.2022.9921376       Inproceedings

R. R. Choudhary, P. K. Jain, and M. R. Singh,"A Two-stage Classification of Heart Sounds using Tunable Quality Wavelet Transform Features", in 2022 International Conference on Emerging Techniques in Computational Intelligence (ICETCI), IEEE 2022, Heart sounds , Tunable quality wavelet transform , Support vector machine , K-nearest neighbour , computer-aided diagnosis       Inproceedings

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

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}
  • CS2011 : Introduction to AI and ML {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}
  • CS1010 : Programming for Problem Solving {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]
Application AI/ML on Agriculture Input management
Niladri Bihari Mohanty
Enrolled: Aug 2023
Continuing
Supervisor
IoT and ML for Healthcare
Pallavi Sharma
Enrolled: Aug 2021
Continuing
Supervisor
Natural Language Processing
Sindhe Swetha
Enrolled: Jan 2021
Continuing
Co-Supervisor
Wireless Communications & VANETs
Aradhana Behura
Enrolled: Aug 2021
Continuing
Co-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 Member),   2024
  • The Indian Society for Technical Education (Life member since 2018),   2024
  • The Institution of Engineers (India) (Life member since Jan 2023),   2024
  • Biomedical Engineering Society of India (Life member since May 2023),   2024
  • Computer Society of India (Life member since Oct 2023),   2024
  • MHRD, PhD fellowship,   2011
  • MHRD, MTech fellowship,   2009