profile
Dr. Abhijit Bhattacharyya
Assistant ProfessorDr. Bhattacharyya received the B.E. (Hons.) degree in electronics and communication engineering (ECE) from the University of Burdwan, Burdwan, India, in 2010, the M.Tech. degree in ECE from Dr. B. R. Ambedkar National Institute of Technology (NIT) Jalandhar, India, in 2013, and the Ph.D. degree in electrical engineering from the Indian Institute of Technology Indore, India, in 2018. During his Ph.D. degree, he was awarded the Raman–Charpak Fellowship 2017 by the Indo-French Centre for the Promotion of Advanced Research (IFCPAR). Under this fellowship, he worked at the University of Lorraine–CNRS, Nancy, France. He worked as a Postdoctoral Researcher in the University of Michigan, USA. Presently, he has been serving as an Assistant Professor in the Department of ECE, NIT Hamirpur, India. His research interests include biomedical signal processing, medical image processing, time-frequency analysis, multivariate signal analysis, 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 |
| Vidwan Link | : | View |
| Publons Link | : | View |
| Linkedin/Orcid/Other 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
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 | Listed in top 2% scientists worldwide for the year 2021 | DOI: 10.17632 | Stanford University, USA. | 2021 |
| 3 | Listed in top 2% scientists worldwide for the year 2022 | btchxktzyw.3 | Stanford University, USA. | 2022 |
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 a researcher, my primary interest is working on challenging problems. My research group works on the development of new features and methods with a lesser computation time for analyzing biomedical signals and images. 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 emotion 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 heart valve 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, vol 19, pp 11437-11448 | 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 , vol 21, pp 3579-3591 | 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, vol 71, pp 103182 | 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 |
| 2022 | V. Padhmashree, A. Bhattacharyya | Human Emotion Recognition Based on Time-Frequency Analysis of Multivariate EEG Signal | Knowledge-Based Systems | SCI, ISSN: 0950-7051, Elsevier (Impact factor = 8.038) |
| 2023 | A. Bhattacharyya, A Verma, R. Ranta, R. B. Pachori | Ocular Artifacts Elimination from Multivariate EEG Signal using Frequency-Spatial Filtering | IEEE Transactions on Cognitive and Developmental Systems | SCI, ISSN / eISSN: 2379-8920 / 2379-8939 |
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 |
| 2017 | Abhijit Bhattacharyya, Lokesh Singh and Ram Bilas Pachori | Identification of Epileptic Seizures from Scalp EEG Signals Based on TQWT. | International Conference on Machine Intelligence and Signal Processing December 22-24, 2017 at IIT Indore, India. Dec 2017 | SCI |
| 2019 | G. K. P. Veeramallu, Y. Anupalli, S. k. Jilumudi, and Abhijit Bhattacharyya | EEG based automatic emotion recognition using EMD and Random forest classifier | 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IIT Kanpur. | SCI |
| 2019 | Pinisetty Sri Ramya, Kondabolu Yashasvi, Arshiya Anjum, Abhijit Bhattacharyya, Ram Bilas Pachori | A Filtering Method for Classification of Motor-Imagery EEG Signals for Brain-Computer Interface | IEEE International Conference on Signal Processing, Computing and Control (ISPCC 2k19), JUIT, Solan, India. | SCI |
Research Projects
| Role | Project Type | Title | Funding Agency | From | To | Amount | Status | Co-Investigator | Sanction Order | Sanction Date |
|---|---|---|---|---|---|---|---|---|---|---|
| PI | Core Research Grant (CRG) | Development of robust multisensor non-stationary data analysis methods using array signal processing and deep learning techniques for electroencephalogram (EEG) signal analysis | Science and Engineering Research Board (SERB), Govt of India | 26/12/2022 | 25/12/2025 | 1922456 | Ongoing | NA | CRG/2022/008516 | 07/12/2022 |
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 | |
| M.Tech | Prashant Kumar Das | Classification of Epileptic EEG Signals using Empirical Wavelet Transform Domain Features and Machine Learning Techniques | Completed | 2022 | |
| M.Tech | Harit Yadav | Multivariate multiscale entropy based Schizophrenia detection from multichannel EEG signals. | Completed | 2022 | |
| M.Tech | Divyanshu Bhaik | Deep Learning Method for Classification of Schizophrenia Using Multivariate EEG Signals | Completed | 2022 | |
| M.Tech | Harshita Singh | A machine learning–based classification of human emotions based on multivariate iterative filtering and multichannel EEG recordings | Completed | 2022 |
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 |
| Assistant Faculty Incharge | NBA | 15/11/2021 | |
| OIC Analog Communication LAB | Department of ECE, NIT Hamirpur | 04/03/2020 | |
| OIC Departmental Information | Department of ECE, NIT Hamirpur | 11/10/2022 |
Book/Chapters Written
| Type | Title | Publisher | Author(s) | ISBN/ISSN No. | Year |
|---|---|---|---|---|---|
| Book Chapter | Artificial intelligence based Alzheimer’s disease detection using deep feature extraction | Elsevier | MANAV NITIN KAPADNIS, ABHIJIT BHATTACHARYYA AND ABDULHAMIT SUBASI | 9780443184512 | 2022 |
| Book Chapter | Development of an Effective Computing Framework for Classification of Motor Imagery EEG Signals for Brain Computer Interface | Springer | Pinisetty Sri Ramya, Kondabolu Yashasvi, Arshiya Anjum, Abhijit Bhattacharyya and Ram Bilas Pachori | 978-981-15-2620-6 | 2020 |
| 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 |
|---|---|---|---|---|---|---|
| workshop | National | Recent trends in signal processing and machine learning with their applications | NIT Hamirpur | 08/03/2021 | 12/03/2021 | Coordinator |
Profile Summary
Last Update: 02/01/2023 09:29pm
| 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 |
| Assistant Faculty Incharge | NBA | 15/11/2021 | |
| OIC Analog Communication LAB | Department of ECE, NIT Hamirpur | 04/03/2020 | |
| OIC Departmental Information | Department of ECE, NIT Hamirpur | 11/10/2022 |
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 a researcher, my primary interest is working on challenging problems. My research group works on the development of new features and methods with a lesser computation time for analyzing biomedical signals and images. 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 emotion 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 heart valve 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 Order | Sanction Date |
|---|---|---|---|---|---|---|---|---|---|---|
| PI | Core Research Grant (CRG) | Development of robust multisensor non-stationary data analysis methods using array signal processing and deep learning techniques for electroencephalogram (EEG) signal analysis | Science and Engineering Research Board (SERB), Govt of India | 26/12/2022 | 25/12/2025 | 1922456 | Ongoing | NA | CRG/2022/008516 | 07/12/2022 |
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, vol 19, pp 11437-11448 | 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 , vol 21, pp 3579-3591 | 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, vol 71, pp 103182 | 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 |
| 2022 | V. Padhmashree, A. Bhattacharyya | Knowledge-Based Systems | Human Emotion Recognition Based on Time-Frequency Analysis of Multivariate EEG Signal | SCI, ISSN: 0950-7051, Elsevier (Impact factor = 8.038) |
| 2023 | A. Bhattacharyya, A Verma, R. Ranta, R. B. Pachori | IEEE Transactions on Cognitive and Developmental Systems | Ocular Artifacts Elimination from Multivariate EEG Signal using Frequency-Spatial Filtering | SCI, ISSN / eISSN: 2379-8920 / 2379-8939 |
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 |
| 2017 | Abhijit Bhattacharyya, Lokesh Singh and Ram Bilas Pachori | International Conference on Machine Intelligence and Signal Processing December 22-24, 2017 at IIT Indore, India. Dec 2017 | Identification of Epileptic Seizures from Scalp EEG Signals Based on TQWT. | SCI |
| 2019 | G. K. P. Veeramallu, Y. Anupalli, S. k. Jilumudi, and Abhijit Bhattacharyya | 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IIT Kanpur. | EEG based automatic emotion recognition using EMD and Random forest classifier | SCI |
| 2019 | Pinisetty Sri Ramya, Kondabolu Yashasvi, Arshiya Anjum, Abhijit Bhattacharyya, Ram Bilas Pachori | IEEE International Conference on Signal Processing, Computing and Control (ISPCC 2k19), JUIT, Solan, India. | A Filtering Method for Classification of Motor-Imagery EEG Signals for Brain-Computer Interface | SCI |
Book/Chapters Written
| Type (Book/Chapter) | Author(s) | Title | Publisher | ISBN/ISSN No. | Year |
|---|---|---|---|---|---|
| Book Chapter | MANAV NITIN KAPADNIS, ABHIJIT BHATTACHARYYA AND ABDULHAMIT SUBASI | Artificial intelligence based Alzheimer’s disease detection using deep feature extraction | Elsevier | 9780443184512 | 2022 |
| Book Chapter | Pinisetty Sri Ramya, Kondabolu Yashasvi, Arshiya Anjum, Abhijit Bhattacharyya and Ram Bilas Pachori | Development of an Effective Computing Framework for Classification of Motor Imagery EEG Signals for Brain Computer Interface | Springer | 978-981-15-2620-6 | 2020 |
| 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 | |
| M.Tech | Prashant Kumar Das | Classification of Epileptic EEG Signals using Empirical Wavelet Transform Domain Features and Machine Learning Techniques | Completed | 2022 | |
| M.Tech | Harit Yadav | Multivariate multiscale entropy based Schizophrenia detection from multichannel EEG signals. | Completed | 2022 | |
| M.Tech | Divyanshu Bhaik | Deep Learning Method for Classification of Schizophrenia Using Multivariate EEG Signals | Completed | 2022 | |
| M.Tech | Harshita Singh | A machine learning–based classification of human emotions based on multivariate iterative filtering and multichannel EEG recordings | Completed | 2022 |
Patents
| Name | Reg./Ref.No. | Date of Award/Filling | Awarding Agencies | Status |
|---|
Conferences/Workshop/Courses Organized
| Category | Type | Title | Venue | From | To | Designation |
|---|---|---|---|---|---|---|
| workshop | National | Recent trends in signal processing and machine learning with their applications | NIT Hamirpur | 08/03/2021 | 12/03/2021 | Coordinator |
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 | Listed in top 2% scientists worldwide for the year 2021 | DOI: 10.17632 | Stanford University, USA. | 2021 |
| 3 | Listed in top 2% scientists worldwide for the year 2022 | btchxktzyw.3 | Stanford University, USA. | 2022 |