National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance

Faculty Profile

ORCID ID
Scopus ID
Researcher ID
Google Scholar ID

EXPERTISE INFORMATION

Research Group
  • Medical Electronics and Instrumentation
Areas of Interest
  • Medical Image Processing, Medical Signal Processing, Artificial Intelligence in Biomedical Applications

Bala Chakravarthy Neelapu Assistant Professor Grade-I

Biotechnology and Medical Engineering

neelapubc@nitrkl.ac.in

0661 - 246 2291

Biosketch

36

PUBLICATIONS

6

SPONSORED PROJECTS

11

DOCTORAL STUDENTS

6

CONTINUING EDUCATION

PERSONAL INFORMATION

Bala Chakravarthy Neelapu

Assistant Professor Grade-I

Biotechnology and Medical Engineering

Room Number: BM-207

Department of Biotechnology and Medical Engineering, National Institute of Technology Rourkela, Sundargarh, Odisha, India - 769008

2018

Ph.D.
Medical Image Processing
Academy of Scientific and Innovative Research (AcSIR)

2011

M.Tech
Electronics and Communication Engineering
Jawaharlal Nehru Technological University, Kakinada, AP

2008

B.Tech
Electronics and Communication Engineering
Jawaharlal Nehru Technological University, Hyderabad

Teaching Experience
  • Biotechnology and Medical Engineering,  National Institute of Technology Rourkela,   06 Mar 2020 - till date
  • Electronics and Communication Engineering,  Koneru Lakshmaiah deemed to be University,   07 Aug 2017 - 25 Feb 2020

Development and validation of an Artificial Intelligence based portable screening device for potentially malignant and malignant oral disorders by integrating narrow band imaging with autofluorescence and white light Indian Council of Medical Research (ICMR)
  • Principal Investigator
  • 36
  • Running   Sponsored
DARPAN - Device development for Automated Real-time Prediction of Atrial fibrillation in the Indian Population. Science & Engineering Research Board(SERB)
  • Co-Investigator
  • 36
  • Running   Sponsored
Developing an artificial intelligence-enabled multispectral reflectance photography device for the prediction of the shelf-life of bakery products Science & Engineering Research Board(SERB)
  • Co-Investigator
  • 36
  • Running   Sponsored
Automatic 3D Cephalometric Analysis 3 Telsa Magnetic Resonance Imaging Based on Artificial Intelligence. ICMR
  • Principal Investigator
  • 36
  • Running   Sponsored
Development of a composite optical device employing an artificial intelligence algorithm for evaluating the shelf - life of raw agricultural products. DST
  • Co-Investigator
  • 24
  • Running   Sponsored
Implantable Closed-loop Diabetes Management System. DST
  • Co-Investigator
  • 24
  • Completed   Sponsored

9
GOOGLE SCHOLAR H-INDEX 8
GOOGLE SCHOLAR I10-INDEX 8
SCOPUS H-INDEX
Total Publications: 36
View All Publications

B. Dhananjay, P. K. Rajnala, B. C. Neelapu, K. Pal, and S.,"A Q-transform-based deep learning model for the classification of atrial fibrillation types", Physical and Engineering Sciences in Medicine, Springer, February 2024, 10.1007/s13246-024-01391-3       Article

P. V. N, P. Kumar, B. C. Neelapu, K. Pal, and S.,"Can atrial lead system ameliorate the diagnosis of atrial arrhythmias?", Medical Hypotheses, Elsevier, March 2024, 10.1016/j.mehy.2024.111280       Article

A. Bhardwaj, R. P. Kumar, S., K. Pal, and B. C. Neelapu,"Do Single Beat ECGs have Same Credibility as Continuous ECG Signal in Multi-Class Classification using Machine Learning Models", in 11th International Conference on Signal Processing and Integrated Networks (SPIN), IEEE, May 2024, 10.1109/SPIN60856.2024.10511781       Inproceedings

K. Pal, B. C. Neelapu, and S.,"Advances in Artificial Intelligence Biomedical Engineering Applications in Signals and Imaging", Advances in Artificial Intelligence, Elsevier, June 2024, 10.1016/C2022-0-01121-1       EditedBook

B. K. Pradhan, A. Jaiswal, C. R. Mishra, B. C. Neelapu, S., M. Jarzebski, and K. Pal,"Decipher the mask-induced cardiac changes in the ECG signals using DWT and machine learning classifiers", Advances in Artificial Intelligence Biomedical Engineering Applications in Signals and Imaging, ch.3, pp.81-99, Elsevier, June 2024, 10.1016/B978-0-443-19073-5.00017-3       Inbook

Karyashala A one-week high-end workshop on: Medical Signal and Image Processing: Clinical Integration of Artificial Intelligence Biotechnology and Medical Engineering (Workshop)
National Bioengineering Conference (NBC): Transdisciplinary approaches in biotechnology and medical engineering research Biotechnology and Medical Engineering (Conference)
  • Co-Coordinator
  • 22 Dec 2022 - 23 Dec 2022
  • Brochure
Recent advances in artificial intelligence for biomedical applications (RAAIBA-2022) Biotechnology and Medical Engineering (Workshop)
Recent Advances in Biomedical Signal and Image Processing Biotechnology and Medical Engineering (Short-term Course)
  • Co-Coordinator
  • 30 May 2022 - 03 Jun 2022
  • Brochure
High-End Workshop on: Next Generation Medical Devices: Focusing on therapeutic and diagnostics – Series 1, 2022 Biotechnology and Medical Engineering (Workshop)
  • Co-Coordinator
  • 07 Feb 2022 - 13 Feb 2022
  • Brochure
Bioengineering 2020 Biotechnology and Medical Engineering (Conference)
  • Co-Coordinator
  • 10 Dec 2020 - 11 Dec 2020
  • Brochure

  • BM3603 : Biomedical Signal Processing {Theory}
  • BM3604 : Medical Imaging and Image Processing {Theory}
  • BM6332 : Medical Imaging and Image Processing {Theory}
  • BM3704 : Medical Image Processing Laboratory {Practical}
  • BM4701 : Microprocessor and Microcontroller Laboratory {Practical}

Ph.D. Students [7]
Device development for Automated real time prediction of Atrial Fibrillation
Suryalakshmi Suresh
Enrolled: Aug 2024
Continuing
Co-Supervisor
Artificial Intelligence for Bio Signals
Soumyajit Gayen
Enrolled: Jul 2024
Continuing
Supervisor
Medical Device Development and Image processing
Deepak Kumar Sahu
Enrolled: Jul 2024
Continuing
Supervisor
Role of Artificial Intelligence in Prediction of Cardiovascular Diseases
Gayathiri Rr
Enrolled: Jan 2024
Continuing
Co-Supervisor
Advancing Cephalometric Analysis: Automatic 3D Cephalometric Analyses using 3T MRI in Validation with CT scan data
Maheswara Rao Nalla
Enrolled: Jan 2023
Continuing
Supervisor
ECG signal analysis and interpretation
Arya Bhardwaj
Enrolled: Aug 2021
Continuing
Supervisor
Artificial Intelligence in Biomedical Applications
Gandreddi Lakshmi Prasanna Ashok
Enrolled: Sep 2020
Continuing
Supervisor
Executive Ph.D. Students [4]
Biomedical Image Processing
Nutakki Rajeswari
Enrolled: Jul 2024
Continuing
Supervisor
Biomedical Signal and Image Processing
N V S S Kumar Muvvala
Enrolled: Aug 2023
Continuing
Supervisor
Artificial Intelligence
Haladhar Behera
Enrolled: Aug 2022
Continuing
Co-Supervisor
Role of AI in ECG
Subrahmanya Vinay Repaka
Enrolled: Aug 2021
Continuing
Supervisor