profile
Dr. Abhijit Bhattacharyya
Assistant ProfessorDr. 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
| 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 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 |
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 |