Bala Chakravarthy Neelapu

Assistant Professor Grade-II

Biotechnology and Medical Engineering

 (+91) 661 246 2291

 neelapubc[at]nitrkl.ac.in

 Biosketch

21

Publications       

3

Sponsored Projects

0

Consultancy Projects

6

Doctoral Students

5

Continuing Education

4

PG Dissertation

 Personal Information

Dr. Bala Chakravarthy Neelapu

Assistant Professor Grade-II

Biotechnology and Medical Engineering

Joined in Mar 2020

 Room Number: BM-207

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

 Education Qualification

  1. Ph.D.
    Medical Image Processing
    Academy of Scientific and Innovative Research (AcSIR)
  2. M.Tech
    Electronics and Communication Engineering
    Jawaharlal Nehru Technological University, Kakinada, AP
  3. B.Tech
    Electronics and Communication Engineering
    Jawaharlal Nehru Technological University, Hyderabad

 Experience

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

 Expertise Information

Research Group
Medical Electronics and Instrumentation
Areas of Interest
Medical Image Processing, Medical Signal Processing, Artificial Intelligence in Biomedical Applications - Image segmentation, Enhancement, video tacking , steganography

 Projects

Automatic 3D Cephalometric Analysis 3 Telsa Magnetic Resonance Imaging Based on Artificial Intelligence.

 ICMR

 Principal Investigator

 36 months

 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 months

 Running

Sponsored

Implantable Closed-loop Diabetes Management System.

 DST

 Co-Investigator

 24 months

 Completed

Sponsored

 Continuing Education

Recent Advances in Biomedical Signal and Image Processing

 Biotechnology and Medical Engineering

 Coordinator

 30 May 2022 - 03 Jun 2022

Short-term Course

National Bioengineering Conference (NBC): Transdisciplinary approaches in biotechnology and medical engineering research

 Biotechnology and Medical Engineering

 Coordinator

 22 Dec 2022 - 23 Dec 2022

Conference

Bioengineering 2020

 Biotechnology and Medical Engineering

 Coordinator

 10 Dec 2020 - 11 Dec 2020

Conference

Recent advances in artificial intelligence for biomedical applications (RAAIBA-2022)

 Biotechnology and Medical Engineering

 Coordinator

 01 Dec 2022 - 07 Dec 2022

Workshop

High-End Workshop on: Next Generation Medical Devices: Focusing on therapeutic and diagnostics – Series 1, 2022

 Biotechnology and Medical Engineering

 Coordinator

 07 Feb 2022 - 13 Feb 2022

Workshop

 Publications

9

Google Scholar h-index

8

Google Scholar i10-index

8

Scopus h-index

Total Publications: 21
K. U. Rani, A. J. Prakash, K. K. Patro, B. C. Neelapu, R. Tadeusiewicz, and P. Plawiak, "Constant Q-transform-based deep learning architecture for detection of obstructive sleep apnea", International Journal of Applied Mathematics and Computer Science, vol.33, no.3, pp.493-506, September 2023, 10.34768/amcs-2023-0036 Article
N. P. Venkatesh, R. P. Kumar, B. C. Neelapu, K. Pal, and S., "CatBoost-based improved detection of P-wave changes in sinus rhythm and tachycardia conditions: a lead selection study", Physical and Engineering Sciences in Medicine, vol.46, pp.925-944, Springer, May 2023, 10.1007/s13246-023-01274-z Article
R. Bandyopadhyay, B. C. Neelapu, K. Pal, and S., "Examining R peak changes in ischemic condition using random forest classifier under stress test ECG", in 10th International Conference on Signal Processing and Integrated Networks (SPIN), pp.82-86, IEEE, Noida, India, May 2023, 10.1109/SPIN57001.2023.10117129 Inproceedings
C. P. Raju, A. M. Kirupakaran, B. C. Neelapu, and R. H. Laskar, "Ischemic Stroke Lesion Segmentation in CT Perfusion Images Using U-Net with Group Convolutions", in Computer Vision and Image Processing, pp.276-288, Springer, 7th International Conference, CVIP 2022, Nagpur, India, November 4–6, 2022, Revised Selected Papers, Part I, May 2023, 10.1007/978-3-031-31407-0_21 Inproceedings
A. Bhardwaj, B. Dhananjay, P. V. N, D. Chowdhury, R. P. Kumar, K. Pal, S., and B. C. Neelapu, "A holistic overview of artificial intelligence in detection, classification and prediction of atrial fibrillation using electrocardiogram: a systematic review and meta-analysis", Archives of Computational Methods in Engineering, Springer, April 2023, 10.1007/s11831-023-09935-8 Article

Show All Publications(+)

C. Kurade, M. Meenu, S. Kalra, A. Miglani, B. C. Neelapu, Y. Yu, and H. S. Ramaswamy, "An automated image processing module for quality evaluation of milled rice", Foods, vol.12, MDPI, March 2023, 10.3390/foods12061273 Article
D. Chowdhury, B. C. Neelapu, K. Pal, and S., "Machine learning-based classification of ischemic and non-ischemic exercise stress test ECG", in Computing in Cardiology 2022, vol.49, IEEE, March 2023, 10.22489/CinC.2022.276 Inproceedings
B. Dhananjay, B. C. Neelapu, K. Pal, and S., "Stacked machine learning models to classify atrial disorders based on clinical ECG features: a method to predict early atrial fibrillation", Biomedical Engineering/Biomedizinische Technik, De Gruyter, March 2023, 10.1515/bmt-2022-0430 Article
B. K. Pradhan, B. C. Neelapu, S., D. Kim, and K. Pal, "A review on the applications of time-frequency methods in ECG analysis", Journal of Healthcare Engineering, Hindawi, February 2023, 10.1155/2023/3145483 Article
K. K. Patro, J. P. Allam, B. C. Neelapu, R. Tadeusiewicz, U. R. Acharya, M. Hammad, O. Yildirim, and P. Plawiak, "Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images", Information Sciences, Elsevier 2023, 10.1016/j.ins.2023.119005 Article
A. Bhardwaj, B. C. Neelapu, K. Pal, and S., "Exaggerated Amplitude and Peak Location of Ta Wave in Tachycardia as an Indicator for Atrial Disorders", in Computing in Cardiology 2022, vol.49, IEEE, March 2022, 10.22489/CinC.2022.068 Inproceedings
G. P. Ashok, V. N. Ganimidi, and B. C. Neelapu, "Inset Fed Slotted Patch Antenna Array for Microwave Imaging Applications", in Wireless Antenna and Microwave Symposium, IEEE 2022, 10.1109/WAMS54719.2022.9847726 Inproceedings
N. Monga, Om. P. Kharbanda, R. Balachandran, and B. C. Neelapu, "Palatal volume estimation in operated unilateral and bilateral cleft lip and palate subjects using digital study models", Orthodontics & Craniofacial Research, Wiley, January 2020, 10.1111/ocr.12368 Article
M. Meenu, C. Kurade, B. C. Neelapu, S. Kalra, H. S. Ramaswamy, and Y. Yu, "A concise review on food quality assessment using digital image processing", Trends in Food Science & Technology, Elsevier 2020, 10.1016/j.tifs.2021.09.014 Article
B. C. Neelapu, "3D local spatio-temporal ternary patterns for moving object detection in complex scenes", Cognitive Computation, vol.11, pp.18-30, Springer, February 2019 Article
S. Vasamsetti, N. Mittal, B. C. Neelapu, and H. K. Sardana, "3D local spatio-temporal ternary patterns for moving object detection in complex scenes", Cognitive Computation, vol.11, pp.18-30, Springer, September 2018, 10.1007/s12559-018-9594-5 Article
B. C. Neelapu, Om. P. Kharbanda, V. Sardana, A. Gupta, S. Vasamsetti, R. Balachandran, and H. K. Sardana, "Automatic localization of three-dimensional cephalometric landmarks on CBCT images by extracting symmetry features of the skull", Dentomaxillofacial Radiology, vol.47, The British Institute of Radiology. 2018 Article
B. C. Neelapu, Om. P. Kharbanda, V. Sardana, A. Gupta, S. Vasamsetti, R. Balachandran, S. S. Rana, and H. K. Sardana, "A pilot study for segmentation of pharyngeal and sino-nasal airway subregions by automatic contour initialization", International journal of computer assisted radiology and surgery, vol.12, pp.1877-1893, Springer 2017, 10.1007/s11548-017-1650-1 Article
B. C. Neelapu, Om. P. Kharbanda, H. K. Sardana, R. Balachandran, V. Sardana, P. Kapoor, A. Gupta, and S. Vasamsetti, "Craniofacial and upper airway morphology in adult obstructive sleep apnea patients: A systematic review and meta-analysis of cephalometric studies", Sleep medicine reviews, vol.31, no.79-90, pp.12, Elsevier 2017, https://doi.org/10.1016/j.smrv.2016.01.007 Article
B. C. Neelapu, Om. P. Kharbanda, H. K. Sardana, A. Gupta, S. Vasamsetti, R. Balachandran, S. S. Rana, and V. Sardana, "The reliability of different methods of manual volumetric segmentation of pharyngeal and sinonasal subregions", Oral surgery, oral medicine, oral pathology and oral radiology, vol.124, pp.577-587, Elsevier 2017, https://doi.org/10.1016/j.oooo.2017.08.020 Article
S. Vasamsetti, N. Mittal, B. C. Neelapu, and H. K. Sardana, "Wavelet based perspective on variational enhancement technique for underwater imagery", Ocean Engineering, vol.141, pp.88-100, Elsevier 2017, https://doi.org/10.1016/j.oceaneng.2017.06.012 Article

 Courses Taught

  • 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}

 Research Scholars

Ph.D. Students [3]
Artificial Intelligence in Biomedical Applications

 Gandreddi Lakshmi Prasanna Ashok

Enrolled: Sep 2020

 Continuing

 Supervisor

ECG signal analysis and interpretation

 Arya Bhardwaj

Enrolled: Aug 2021

 Continuing

 Supervisor

Biomedical Signal and Image Processing

 Maheswara Rao Nalla

Enrolled: Jan 2023

 Continuing

 Supervisor

Executive Ph.D. Students [3]
Role of AI in ECG

 Subrahmanya Vinay Repaka

 Continuing

 Supervisor

Artificial Intelligence

 Haladhar Behera

 Continuing

 Co-Supervisor

Biomedical Signal and Image Processing

 N V S S Kumar Muvvala

 Continuing

 Supervisor

 Dissertations

PG Dissertation
  • Nilanjan Mahinder (220BM1140), "Automatic Cephalometric Landmark Detection By Using Deep Learning" - M.Tech.    Supervisor     2021-22 Spring
  • Prangya Prativa Behera (220BM1136), "Classification of Cervical Vertebrae Maturation Stages using Deep Learning" - M.Tech.    Supervisor     2021-22 Spring
  • Chekka Jaya Gayatri (221BM1577), "Deep Learning approach to classify the effect of caffeinated coffee on SSVEP generation using wavelet scalogram analysis" - M.Tech.    Co-supervisor     2022-23 Spring
  • Kandukuri Usha Rani (221BM1164), "Deep learning based Obstructive Sleep Apnea detection using Constant Q-Transform and Recurrence plots of Single-Lead ECG Signal" - M.Tech.    Supervisor     2022-23 Spring
UG Dissertation
  • Konni Vidya Sagar (118BM0770), "Paddy species classification using deep neural networks" - B.Tech.    Supervisor     2021-22 Spring
  • Lawand Atharva Satish (118BM0005), "Determination of the Degree of CVM based on Lateral Cephalogram and classification into six different stages using Deep Learning." - B.Tech.    Supervisor     2021-22 Spring
  • Aman (119BM0001), "Paddy Species classification using Artificial Intelligence" - B.Tech.    Supervisor     2022-23 Spring
  • Kakarla Divya Sree (119BM0427), "Reinforcement Learning based approach for effective treatment of Sepsis" - B.Tech.    Supervisor     2022-23 Spring
  • Prakash Gourav Behera (119BM0790), "Automatic Brain Tumor Segmentation And Detection Using YOLO" - B.Tech.    Supervisor     2022-23 Spring
  • Pritish Pal (119BM0798), "Design Of Microstrip Patch Antenna using CST for detection of cancerous tissues" - B.Tech.    Supervisor     2022-23 Spring

 Awards and Honours

No Awards/Honours Found....