profile

Dr. Abhijit Bhattacharyya

Assistant Professor

Dr. Bhattacharyya received the B.E. (Hons.) degree from the University of Burdwan, Burdwan, India, and the M.Tech. degree from National Institute of Technology (NIT) Jalandhar, Jalandhar, India, both in Electronics and Communication engineering, in 2010 and 2013, respectively. He received the PhD degree in Electrical Engineering at Indian Institute of Technology Indore, Indore, India in 2018. During PhD, he was awarded Raman-Charpak fellowship 2017 by Indo-French Centre for the Promotion of Advanced Research (IFCPAR). Under this fellowship, he worked at the Research Center for Automatics, Nancy, France/ CRAN UMR 7039 University of Lorraine CNRS. He served as a faculty member at Lovely Professional University, and National Institute of Technology Andhra Pradesh. He has also worked as Postdoctoral Researcher at University of Michigan, USA before joining NIT Hamirpur as a faculty member. His research interests include biomedical signal processing, medical image processing, machine learning, and Deep learning.

Name : Dr. Abhijit Bhattacharyya
Designation : Assistant Professor
Department : Electronics & Communication Engineering
Qualification : PhD (IIT Indore), Raman-Charpak Fellow (University of Lorraine-CNRS, France), Postdoc (University of Michigan, USA)
Phone : 7898627497
Email ID : abhijit@nith.ac.in
Google Scholar Link : View

Resume Not Available..

General Information



Name : Dr. Abhijit Bhattacharyya
Designation : Assistant Professor
Department : Electronics & Communication Engineering
Qualification : PhD (IIT Indore), Raman-Charpak Fellow (University of Lorraine-CNRS, France), Postdoc (University of Michigan, USA)
Date of Birth : 29/03/1989
Date of joining : 09/10/2019

Contact Details

Phone : 7898627497
Email ID : abhijit@nith.ac.in

Specialization

Biomedical Signal Processing, Image Processing, Machine Learning

Position Held



Position Department Name Institute Name Time Period

Educational Qualification



Name of the Degree Year of Passing Institute/University
PhD 2018 Indian Institute of Technology Indore, Indore, India
M.Tech 2013 National Institute of Technology Jalandhar, Jalandhar, India
B.E. 2010 University of Burdwan, Burdwan, India

Honors & Recognitions Achieved



Sr.No. Title Activity Given By Year
1 Raman-Charpak fellowship 2017 Under this fellowship, worked at the Research Center for Automatics, University of Lorraine CNRS Nancy, France Indo-French Centre for the Promotion of Advanced Research (IFCPAR) 2017
2 GATE 2011 M.Tech Teaching Assistantship Ministry of Human Resource Development 2011

Research Experience



Research Interests : Biomedical signal (EEG, ECG, EMG ) analysis and classification, Speech signal processing, Deep Learning for Signal Classification, Medical Image Processing, Image Segmentation and Classification, Machine Learning
Brief Research Statement : Being researcher, my primary interest is to work on challenging problems. My research group is interested in working for the development of new features and methods with lesser computation time for analyzing biomedical signals and images. The recent non-stationary signal processing and machine learning techniques can be effectively applied for analyzing physiological signals. In the field of electroencephalogram (EEG) signal processing, we work on epileptic seizure detection, epileptic source localization, epileptic seizure prediction, detection of spike wave discharges, detection of sleep spindles, detection of high frequency oscillations in EEG signals, brain-computer interface, human emotions recognition etc. We explore different variants of deep neural algorithms for the classification of EEG signals. In the area of cardiac signal analysis we work on the diagnosis of coronary artery disease (CAD), myocardial infarction (MI), congestive heart failure (CHF), atrial fibrillation (AF), different types of arrhythmias, septal defects, congenital heart diseases, and the heart valves disorders using electrocardiogram (ECG) and heart rate variability (HRV) signals. We also work in the area of medical image processing techniques. Some of our recent research works in this area are based on the development of methods for image segmentation and classification using deep neural networks. We would like to collaborate with renowned National and International research Labs. I encourage highly motivated B.Tech, M.Tech and PhD students interested in this area for joining our research group.

Journal Publications



Year Author(s) Title & Vol. No. Journal Name Indexing (SCI) Web of Science/Scopus
2018 A. Bhattacharyya, M. Sharma, R. B. Pachori, P. Sircar, and U. R. Acharya A novel approach for automated detection of focal EEG signals using empirical wavelet transform, vol. 29, No. 8, pp. 47-57 Neural Computing and Applications SCI, ISBN/ISSN No.: 0941-0643
2017 A. Bhattacharyya, R. B. Pachori A multivariate approach for patient specific EEG seizure detection using empirical wavelet transform, vol. 64, No. 9, pp. 2003 - 2015 IEEE Transactions on Biomedical Engineering SCI, ISBN/ISSN No.: 00189294
2017 A. Bhattacharyya, R. B. Pachori, U. R. Acharya Tunable-Q wavelet transform based multivariate sub-band fuzzy entropy with application to focal EEG signal analysis, vol. 19 (3), 99, pp. 01-14 Entropy SCI, ISBN/ISSN No.: 10994300
2017 A. Bhattacharyya, R. B. Pachori, A. Upadhyay, U. R. Acharya Tunable-Q wavelet transform based multiscale entropy measure for automated classification of epileptic EEG signals, vol. 7(4), 385, pp. 01-18 Applied Sciences SCI, ISBN/ISSN No.: 20763417
2018 A. Bhattacharyya, L. Singh, R. B. Pachori Fourier-Bessel series expansion based empirical wavelet transform for analysis of non-stationary signals, vol. 78, pp. 185-196 Digital Signal Processing SCI, ISBN/ISSN No.: 10512004
2019 A. Bhattacharyya, R. Ranta, S. Le Cam, V. Louis-Dorr, L. Tyvaert, S. Colnat-Coulbois, L. Maillard and R. B. Pachori A multichannel approach for cortical stimulation artefact suppression in depth EEG signals using time-frequency and spatial filtering, vol. 66.7, pp 1915-1926 IEEE Transactions on Biomedical Engineering SCI, ISBN/ISSN No.: 00189294
2019 R.K. Tripathy, A. Bhattacharyya, and R. B. Pachori A novel approach for detection of myocardial infarction from ECG signals of multiple electrodes, vol. 19.12, pp. 4509-4517 IEEE Sensors Journal SCI, ISBN/ISSN No.: 1530437X
2019 P. Gajbhiye, R. K. Tripathy, A. Bhattacharyya, R. B. Pachori Novel Approaches for the Removal of Motion Artifact from EEG Recordings, vol 19, pp 10600-10608 IEEE Sensors Journal SCI, ISBN/ISSN No.: 1530437X
2019 R. K. Tripathy, A. Bhattacharyya, and R. B. Pachori Localization of Myocardial Infarction from Multi-Lead ECG Signals using Multiscale Analysis and Convolutional Neural Network, In Press IEEE Sensors Journal SCI, ISBN/ISSN No.: 1530437X
2020 A. Bhattacharyya, R. K. Tripathy, L. Garg, R. B. Pachori A Novel Multivariate-Multiscale Approach for Computing EEG Spectral and Temporal Complexity for Human Emotion Recognition IEEE Sensors Journal SCI, ISBN/ISSN No.: 1530437X
2021 A. Bhattacharyya, D. Bhaik, S. Kumar, P. Thakur, R. Sharma, and R. B. Pachori A Deep Learning Based Approach for Automatic Detection of COVID-19 Cases using Chest X-Ray Images Biomedical Signal Processing and Control SCI, ISBN/ISSN: 1746-8094
2021 L. D. Sharma, A. Bhattacharyya A Computerized Approach for Automatic Human Emotion Recognition using Sliding Mode Singular Spectrum Analysis IEEE Sensors Journal SCI, ISBN/ISSN No.: 1530437X

Conference Publications



Year Author(s) Title Conference name with place Indexing (SCI/Web of science/Scopus)
2017 A. Bhattacharyya, V. Gupta, R. B. Pachori Automated identification of epileptic seizure EEG signals using empirical wavelet transform based Hilbert marginal spectrum IEEE 22nd International Conference on Digital Signal Processing, 23-25 August, London, UK SCI
2017 V. Gupta, A. Bhattacharyya, R. B. Pachori Classification of seizure and non-seizure EEG signals based on EMD-TQWT method IEEE 22nd International Conference on Digital Signal Processing, 23-25 August, London, UK SCI

Research Projects



Role Project Type Title Funding Agency From To Amount Status Co-Investigator Sanction Order Sanction Date
PI Project on COVID-19 Diagnosis Deep Learning based imaging data analysis for the diagnosis of Covid-19 patients Internal Research Proposal 06/08/2020 06/08/2020 15000 Ongoing NA NIT/HMR/Dean (R&C)/COVID/2020/67-82 06/05/2020

Research Supervision



Programme Name Scholar Name Research Topic Status Year Co-Suprivisor(s)
M.Tech Padhmashree V Human Emotion Recognition Based on Time Frequency Analysis of Multivariate EEG Signal Completed 2021
M.Tech Aarushi Verma Removal Of Ocular Artifacts In Multivariate EEG Signal Using Frequency-Spatial Filtering Completed 2021
M.Tech Ayushi Pal Detection Of Sleep Apnea From ECG Signal Using Empirical Wavelet Transform Completed 2021

Patents



Title Reg./Ref.No. Date of Award/Filling Awarding Agencies Status

Teaching Experience



Position Held Department and Organization From To Total Experience
Adhoc Faculty Electronics and Communication Engineering, NIT Andhra Pradesh 30/07/2018 31/05/2019 10 months
Assistant Professor Electronics and Communication Engineering, Lovely Professional University, India 22/07/2013 29/11/2014 1 year 4 months
Assistant Professor Electronics and Communication Engineering, NIT Hamirpur 09/10/2019 Continuing

Administrative Experience



Position Held Department and Organization From To
Assistant Faculty Incharge Research Project & Collaboration, NIT Hamirpur 03/12/2019 02/08/2020

Book/Chapters Written



Type Title Publisher Author(s) ISBN/ISSN No. Year
Book Chapter Identification of Epileptic Seizures from Scalp EEG Signals Based on TQWT Springer A. Bhattacharyya, L. Singh, R. B. Pachori 978-981-13-0922-9 2018
Book Chapter Automated Identification of Epileptic Seizures from EEG Signals Using FBSE-EWT Method Springer V. Gupta, A. Bhattacharyya, R. B. Pachori 978-981-13-9097-5 2019

Expert Talks



Title Place Year Description of Event
Introduction to MATLAB (22 June 2020) NIT Patna (Online mode) 2020 Faculty Development Program (22nd – 27th June, 2020) Online FDP on “NextGen Semiconductor Devices for high-end applications” National Institute of Technology Patna in association with Electronics & ICT Academy
Introduction to MATLAB (22 August 2020) NIT Patna (Online mode) 2020 Online FDP on "Renewable Energy: Research to Industry" at NIT Patna in association with Electronics & ICT Academy, from 22nd Aug to 6th Sep 2020
Applications of AI Rajasthan Technical University, Kota & Department of Computer Science Engineering, Sri Balaji College of Engineering & Technology (Online mode) 2020 TEQIP- III Sponsored Faculty Development Programme On “Artificial Intelligence and Machine Learning” 7th-9th September 2020
ML Learning (8 September) BIPIN TRIPATHI KUMAON INSTITUTE OF TECHNOLOGY, DWARAHAT 2020 TEQIP- III Sponsored Faculty Development Programme On Advanced Research Trends in Artificial Intelligence, Pattern Recognition and Image Processing
Image Preprocessing (29 Sep) BIPIN TRIPATHI KUMAON INSTITUTE OF TECHNOLOGY, DWARAHAT 2020 TEQIP- III Sponsored Faculty Development Programme On Advanced Research Trends in Artificial Intelligence, Pattern Recognition and Image Processing

Consultancy



Title of Consultancy Client Organization Faculty Involved Amount(INR) Status

International and National Exposure



Sr.No. Title Description

Conferences/Courses Organized



Category Type Title Venue From To Designation

Profile Summary

Last Update: 22/10/2021 05:18pm
Logo
Name : Dr. Abhijit Bhattacharyya
Designation : Assistant Professor
Department : Electronics & Communication Engineering
Qualification : PhD (IIT Indore), Raman-Charpak Fellow (University of Lorraine-CNRS, France), Postdoc (University of Michigan, USA)
Phone : 7898627497
Email ID : abhijit@nith.ac.in
Profile URL : https://portfolios.nith.ac.in/index.php?/nith/dr-abhijit-bhattacharyya
Date of Birth : 29/03/1989
Date of Joining : 09/10/2019

Specialization

Biomedical Signal Processing, Image Processing, Machine Learning

Education Qualification


Name of the Degree Year of Passing Institute/University
PhD 2018 Indian Institute of Technology Indore, Indore, India
M.Tech 2013 National Institute of Technology Jalandhar, Jalandhar, India
B.E. 2010 University of Burdwan, Burdwan, India

Teaching Experience


Programme Name Department And Organization From To Total Experience
Adhoc Faculty Electronics and Communication Engineering, NIT Andhra Pradesh 30/07/2018 31/05/2019 10 months
Assistant Professor Electronics and Communication Engineering, Lovely Professional University, India 22/07/2013 29/11/2014 1 year 4 months
Assistant Professor Electronics and Communication Engineering, NIT Hamirpur 09/10/2019 Continuing

Administrative Experience


Position Held Department And Organization From To
Assistant Faculty Incharge Research Project & Collaboration, NIT Hamirpur 03/12/2019 02/08/2020

Research Experience

Research Interests : Biomedical signal (EEG, ECG, EMG ) analysis and classification, Speech signal processing, Deep Learning for Signal Classification, Medical Image Processing, Image Segmentation and Classification, Machine Learning
Brief Research Statement : Being researcher, my primary interest is to work on challenging problems. My research group is interested in working for the development of new features and methods with lesser computation time for analyzing biomedical signals and images. The recent non-stationary signal processing and machine learning techniques can be effectively applied for analyzing physiological signals. In the field of electroencephalogram (EEG) signal processing, we work on epileptic seizure detection, epileptic source localization, epileptic seizure prediction, detection of spike wave discharges, detection of sleep spindles, detection of high frequency oscillations in EEG signals, brain-computer interface, human emotions recognition etc. We explore different variants of deep neural algorithms for the classification of EEG signals. In the area of cardiac signal analysis we work on the diagnosis of coronary artery disease (CAD), myocardial infarction (MI), congestive heart failure (CHF), atrial fibrillation (AF), different types of arrhythmias, septal defects, congenital heart diseases, and the heart valves disorders using electrocardiogram (ECG) and heart rate variability (HRV) signals. We also work in the area of medical image processing techniques. Some of our recent research works in this area are based on the development of methods for image segmentation and classification using deep neural networks. We would like to collaborate with renowned National and International research Labs. I encourage highly motivated B.Tech, M.Tech and PhD students interested in this area for joining our research group.

Research Projects


Role Project Type Title Funding Agency From To Amount Status Co-Investigator Sanction OrderSanction Date
PI Project on COVID-19 Diagnosis Deep Learning based imaging data analysis for the diagnosis of Covid-19 patients Internal Research Proposal 06/08/2020 06/08/2020 15000 Ongoing NA NIT/HMR/Dean (R&C)/COVID/2020/67-82 06/05/2020

Journal Publications


Year Author(s) Journal Name Title & Vol. No. Indexing (SCI/Web of science/Scopus)
2018 A. Bhattacharyya, M. Sharma, R. B. Pachori, P. Sircar, and U. R. Acharya Neural Computing and Applications A novel approach for automated detection of focal EEG signals using empirical wavelet transform, vol. 29, No. 8, pp. 47-57 SCI, ISBN/ISSN No.: 0941-0643
2017 A. Bhattacharyya, R. B. Pachori IEEE Transactions on Biomedical Engineering A multivariate approach for patient specific EEG seizure detection using empirical wavelet transform, vol. 64, No. 9, pp. 2003 - 2015 SCI, ISBN/ISSN No.: 00189294
2017 A. Bhattacharyya, R. B. Pachori, U. R. Acharya Entropy Tunable-Q wavelet transform based multivariate sub-band fuzzy entropy with application to focal EEG signal analysis, vol. 19 (3), 99, pp. 01-14 SCI, ISBN/ISSN No.: 10994300
2017 A. Bhattacharyya, R. B. Pachori, A. Upadhyay, U. R. Acharya Applied Sciences Tunable-Q wavelet transform based multiscale entropy measure for automated classification of epileptic EEG signals, vol. 7(4), 385, pp. 01-18 SCI, ISBN/ISSN No.: 20763417
2018 A. Bhattacharyya, L. Singh, R. B. Pachori Digital Signal Processing Fourier-Bessel series expansion based empirical wavelet transform for analysis of non-stationary signals, vol. 78, pp. 185-196 SCI, ISBN/ISSN No.: 10512004
2019 A. Bhattacharyya, R. Ranta, S. Le Cam, V. Louis-Dorr, L. Tyvaert, S. Colnat-Coulbois, L. Maillard and R. B. Pachori IEEE Transactions on Biomedical Engineering A multichannel approach for cortical stimulation artefact suppression in depth EEG signals using time-frequency and spatial filtering, vol. 66.7, pp 1915-1926 SCI, ISBN/ISSN No.: 00189294
2019 R.K. Tripathy, A. Bhattacharyya, and R. B. Pachori IEEE Sensors Journal A novel approach for detection of myocardial infarction from ECG signals of multiple electrodes, vol. 19.12, pp. 4509-4517 SCI, ISBN/ISSN No.: 1530437X
2019 P. Gajbhiye, R. K. Tripathy, A. Bhattacharyya, R. B. Pachori IEEE Sensors Journal Novel Approaches for the Removal of Motion Artifact from EEG Recordings, vol 19, pp 10600-10608 SCI, ISBN/ISSN No.: 1530437X
2019 R. K. Tripathy, A. Bhattacharyya, and R. B. Pachori IEEE Sensors Journal Localization of Myocardial Infarction from Multi-Lead ECG Signals using Multiscale Analysis and Convolutional Neural Network, In Press SCI, ISBN/ISSN No.: 1530437X
2020 A. Bhattacharyya, R. K. Tripathy, L. Garg, R. B. Pachori IEEE Sensors Journal A Novel Multivariate-Multiscale Approach for Computing EEG Spectral and Temporal Complexity for Human Emotion Recognition SCI, ISBN/ISSN No.: 1530437X
2021 A. Bhattacharyya, D. Bhaik, S. Kumar, P. Thakur, R. Sharma, and R. B. Pachori Biomedical Signal Processing and Control A Deep Learning Based Approach for Automatic Detection of COVID-19 Cases using Chest X-Ray Images SCI, ISBN/ISSN: 1746-8094
2021 L. D. Sharma, A. Bhattacharyya IEEE Sensors Journal A Computerized Approach for Automatic Human Emotion Recognition using Sliding Mode Singular Spectrum Analysis SCI, ISBN/ISSN No.: 1530437X

Conference Publications


Year Author(s) Conference Title Indexing
2017 A. Bhattacharyya, V. Gupta, R. B. Pachori IEEE 22nd International Conference on Digital Signal Processing, 23-25 August, London, UK Automated identification of epileptic seizure EEG signals using empirical wavelet transform based Hilbert marginal spectrum SCI
2017 V. Gupta, A. Bhattacharyya, R. B. Pachori IEEE 22nd International Conference on Digital Signal Processing, 23-25 August, London, UK Classification of seizure and non-seizure EEG signals based on EMD-TQWT method SCI

Book/Chapters Written


Type (Book/Chapter) Author(s) Title Publisher ISBN/ISSN No. Year
Book Chapter A. Bhattacharyya, L. Singh, R. B. Pachori Identification of Epileptic Seizures from Scalp EEG Signals Based on TQWT Springer 978-981-13-0922-9 2018
Book Chapter V. Gupta, A. Bhattacharyya, R. B. Pachori Automated Identification of Epileptic Seizures from EEG Signals Using FBSE-EWT Method Springer 978-981-13-9097-5 2019

Research Supersion


Programme Name Scholar Name Research Topic Status Year Co-Superivisor(s)
M.Tech Padhmashree V Human Emotion Recognition Based on Time Frequency Analysis of Multivariate EEG Signal Completed 2021
M.Tech Aarushi Verma Removal Of Ocular Artifacts In Multivariate EEG Signal Using Frequency-Spatial Filtering Completed 2021
M.Tech Ayushi Pal Detection Of Sleep Apnea From ECG Signal Using Empirical Wavelet Transform Completed 2021

Patents


Name Reg./Ref.No. Date of Award/Filling Awarding Agencies Status

Conferences/Workshop/Courses Organized


Category Type Title Venue From To Designation

Expert Talks


Title Place Year Description of Event
Introduction to MATLAB (22 June 2020) NIT Patna (Online mode) 2020 Faculty Development Program (22nd – 27th June, 2020) Online FDP on “NextGen Semiconductor Devices for high-end applications” National Institute of Technology Patna in association with Electronics & ICT Academy
Introduction to MATLAB (22 August 2020) NIT Patna (Online mode) 2020 Online FDP on "Renewable Energy: Research to Industry" at NIT Patna in association with Electronics & ICT Academy, from 22nd Aug to 6th Sep 2020
Applications of AI Rajasthan Technical University, Kota & Department of Computer Science Engineering, Sri Balaji College of Engineering & Technology (Online mode) 2020 TEQIP- III Sponsored Faculty Development Programme On “Artificial Intelligence and Machine Learning” 7th-9th September 2020
ML Learning (8 September) BIPIN TRIPATHI KUMAON INSTITUTE OF TECHNOLOGY, DWARAHAT 2020 TEQIP- III Sponsored Faculty Development Programme On Advanced Research Trends in Artificial Intelligence, Pattern Recognition and Image Processing
Image Preprocessing (29 Sep) BIPIN TRIPATHI KUMAON INSTITUTE OF TECHNOLOGY, DWARAHAT 2020 TEQIP- III Sponsored Faculty Development Programme On Advanced Research Trends in Artificial Intelligence, Pattern Recognition and Image Processing

Consultancy


Title of Consultancy Client Organization Faculty Involved Amount(INR) Status

International and National Exposure


Sr.No. Title Description

Honors & Recognitions Achieved


Sr.No. Title Activity Given By Year
1 Raman-Charpak fellowship 2017 Under this fellowship, worked at the Research Center for Automatics, University of Lorraine CNRS Nancy, France Indo-French Centre for the Promotion of Advanced Research (IFCPAR) 2017
2 GATE 2011 M.Tech Teaching Assistantship Ministry of Human Resource Development 2011