Education
2022-2026
National Institute of Technology Puducherry
2021
Achariya Bala Siksha Mandir
2019
Maharishi Vidya Mandir
Bachelor of Technology
Electronics and Communication Engineering
Coursework: Linear Algebra, Transforms and complex analysis, Python Programming, Probability and Statistics, Digital Signal Processing, Digital Image processing, Machine learning.
CGPA: 8.25/10 (till 6th semester)
12th Grade
Percentage: 95.8%
10th Grade
Percentage: 94.8%
Publications
Journal Articles
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S. S Dash and M. K. Nath, Non-Invasive Techniques for fECG Analysis in Fetal Heart Monitoring: A Systematic Review, Signals (MDPI), Vol. 6, Issue 4, pp. 1- 39 (2025). (Indexed in Scopus & ESCI)
DOI: https://doi.org/10.3390/signals6040061 -
K. Mookkandi, M. K. Nath, S. S. Dash, M. Mishra, and R. Blange, A Robust Lightweight Vision Transformer for Classification of Crop Diseases, AgriEngineering (MDPI), Vol. 7, Issue 8, pp. 1- 31 (2025). (Indexed in Scopus & ESCI)
DOI: https://doi.org/10.3390/agriengineering7080268 -
S. S. Dash, M. K. Nath, A novel approach for detecting fetal QRS and estimating fetal heart rate from abdominal ECG using EMD and wavelet decomposition, Circuits, Systems, and Signal Processing (CSSP) (Springer), Vol. 44, pp. 9209–9232 (2025). (Indexed in Scopus & SCIE)
DOI: https://doi.org/10.1007/s00034-025-03215-5
Conference Proceedings
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M. K. Nath, M. Tabdula, N. K. Uppu, V. Gajjala, and S. S. Dash, Emotion Recognition from ECG Signals Using Deep Neural Networks, Proceedings of the 6th International Conference on Data Science and Applications (ICDSA 2025), Lecture Notes in Networks and Systems (Springer), Vol. , pp. 1- (2025). (Indexed in Scopus)
DOI: https://doi.org/10.1007/978-3-032-12827-0_10 -
S. S. Dash, A. B. Varghese, M. K. Nath, Computation of Fetal Heart Rate Variability from Abdominal ECG Using Adaptive Filtering and Independent Component Analysis, Proceedings of the 5th International Conference on Computer Vision and Robotics (CVR 2025), Lecture Notes in Networks and Systems (Springer), Vol. 1644, pp. 85-99 (2025). (Indexed in Scopus)
DOI: https://doi.org/10.1007/978-3-032-06253-6_7 -
S. S. Dash, M. K. Nath, T. Anbalagan, Identification of FECG from AECG Recordings using ICA over EMD, Proceedings of the 5th International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023), Lecture Notes in Electrical Engineering (Springer), Vol. 1166, pp. 236-248 (2024). (Indexed in Scopus)
DOI: https://doi.org/10.1007/978-981-97-1335-6_21
Research Experience
Sept 2022 - Present
Undergraduate Research Student
NIT Puducherry, India
Nov 2024 - Dec 2024
Intern
IIIT Naya Raipur, India
Jun 2023 - Jan 2024
Summer Intern
Dalian University of Technology, China
Jul 2023 - Feb 2023
Intern
NIT Puducherry, India
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Conducted independent research in advanced signal processing domains, contributing to peer-reviewed publications.
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Collaborated with faculty on innovative biomedical research projects, enhancing problem-solving and analytical skills.
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Developed and tested algorithms for PPG analysis for real-world applications under expert supervision.
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Gained hands-on experience in deriving new techniques and system optimization techniques.
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Collection and analysis of methodologies in the literature for conducting a systematic review.
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Acquired expert proficiency in advanced tools such as LATEX, Mendeley, Zotero, and Paperpal.
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Assisted in experimental research.
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Worked on preparing technical documentation and reports.
Projects
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A customized DL model for identification and classification of fetal ECG signal
Performance: Accuracy of 100% with the PAF database and 98.75% for the FECGDARHA database. -
Novel fECG extraction technique utilizing TFA and NN
Performance: Accuracy of 100% with the FECGDARHA database using pre-trained networks. -
Estimation of blood pressure using ML techniques
Description: Prediction of BP and blood glucose level using ML algorithms (Random Forest, -
Advancements In Non-Invasive Techniques For Monitoring Fetal Heart Abnormalities Through FECG Analysis: A Comprehensive Review
Description: This project highlights the significance of fetal ECG (fECG) extraction from abdominal electrocardiogram (aECG) recordings and examines various algorithms for achieving clean fECG, along with their associated limitations. -
Extraction of fECG signals from aECG using EMD and WD
Performance: Accuracy of 100% for mECG detection and 88.9% for fECG detection using the FECGDARHA database. -
Identification of FECG from AECG Recordings using ICA over EMD
Performance metric: Kurtosis -
Applications of Comb Filter
Leadership Experience
2025
2025
2025
2024
2024
2023
2022
2022
Organizer (CIMA 2025)
Organizing, managing, and assisting the dignitaries and students throughout the program. Additionally, I also served as a session coordinator during the conference.
President (ELECSA - ECE student association)
Overseeing the association's operations, managing finances, and supporting activities.
Placement Representative:
Managing and assisting the students throughout the placement process.
Organizer (SYMPOSIA'24)
Managing and assisting the students and dignitaries throughout the workshop (sponsored by SERB).
Organizer (Karyashala)
Managing and assisting the students and dignitaries throughout the workshop (sponsored by SERB).
Event Coordinator (Robotics Club)
Overseeing club operations, managing finances, and supporting activities.
Executive Member (ELECSA - ECE student association)
Managing and assisting the students throughout the events.
Class Representative
Managing and assisting the students.
References
Dr. Malaya Kumar Nath
Advisor (UG Guide)
Dr. Sunanda Ambulker
Dr. Thomas Joseph