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Pooja Muralidharan

Faculty Associate, Department of Electronics and Communication Engineering, School of Engineering, Coimbatore

Qualification: BE, M.E
mp_pooja@cb.amrita.edu
Research Interest: Signal Processing and Artificial Intelligence
Date of Joining: 03/07/2024

Bio

Pooja Muralidharan received the M.Tech degree in Biomedical Engineering from Amrita Vishwa Vidyapeetham, Coimbatore, India, in 2020, where she is currently pursuing her Ph.D. degree with the Department of Electronics and Communication Engineering, Amrita School of Engineering. She is currently a Faculty Associate with the Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham. Her research interests include the applications of artificial intelligence (AI) and signal processing in healthcare. She has published several papers in IEEE conferences and journals, focusing on improving the performance of healthcare monitoring systems using signal processing and deep learning techniques.

Qualification

  • Ph.D (Pursuing)
    Biomedical Signal Processing and AI, Amrita Vishwa Vidyapeetham
  • 2020 : M. Tech.
    Biomedical Engineering, Amrita Vishwa Vidyapeetham
  • 2018 : BE
    Biomedical Engineering, Mumbai University

Courses Handled

Undergraduate Courses Handled

  1. Problem-Solving and Algorithmic Thinking
  2. Wavelets and Application
  3. Introduction to IoT
  4. Basic Electrical and Electronics Engineering Lab
Publications

Journal Article

Year : 2025

Seizure information enrichment in ECG through spectral whitening for improving epileptic seizure prediction

Cite this Research Publication : Pooja Muralidharan, C. S. Kumar, R. Sankaran, K.I. Ramachandran, Seizure information enrichment in ECG through spectral whitening for improving epileptic seizure prediction, Computers in Biology and Medicine, Volume 189, 2025, 109929, https://doi.org/10.1016/j.compbiomed.2025.109929.

Publisher : Computers in Biology and Medicine

Year : 2024

AI in ECG: Validating an ambulatory semiology labeller and predictor

Cite this Research Publication : P. Muralidharan, R. Sankaran, P. Bendapudi, C. S. Kumar, A. A. Kumar, AI in ECG: Validating an ambulatory semiology labeller and predictor, Epilepsy Research, Volume 204, 2024, 107403, https://doi.org/10.1016/j.eplepsyres.2024.107403

Publisher : Epilepsy Research

Conference Paper

Year : 2023

Improving the Performance of ECG-based Epileptic Seizure Prediction

Cite this Research Publication : S. Nair, C. S. Kumar, P. Muralidharan, S. Gopinath, A. A. Kumar, and H. Parasuram, "Improving the Performance of ECG-based Epileptic Seizure Prediction," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-7, doi: 10.1109/ICCCNT56998.2023.10306997.

Publisher : IEEE

Year : 2023

Improving the Performance of ECG-based Epileptic Seizure Prediction using Wavelet and Variational Mode Decomposition

Cite this Research Publication : A. B, C. S. Kumar, P. Muralidharan, S. Gopinath and A. Anand Kumar, "Improving the Performance of ECG-based Epileptic Seizure Prediction using Wavelet and Variational Mode Decomposition," 2023 IEEE 4th Annual Flagship India Council International Subsections Conference (INDISCON), Mysore, India, 2023, pp. 1-7, doi: 10.1109/INDISCON58499.2023.10270397

Publisher : IEEE

Year : 2023

Improving the Performance of Epileptic Seizure Prediction using Supervised Clustering of Deep Features

Cite this Research Publication : P. Muralidharan et al., "Improving the Performance of Epileptic Seizure Prediction using Supervised Clustering of Deep Features," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-7, doi: 10.1109/ICCCNT56998.2023.10307308.

Publisher : International Conference on Computing Communication and Networking Technologies

Year : 2022

Improving the Performance of Sleep Apnea Screening System using Wavelets and Bottleneck Feature Fusion

Cite this Research Publication : C. Srinidhi, C. Santhosh Kumar, M. G. B, P. Muralidharan, S. Gopinath and A. Anand Kumar, "Improving the Performance of Sleep Apnea Screening System using Wavelets and Bottleneck Feature Fusion," 2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER), Shivamogga, India, 2022, pp. 261-265, doi:10.1109/DISCOVER55800.2022.9974829.

Publisher : IEEE

Year : 2021

An End-To-End 1D-ResCNN Model For Improving The Performance Of Multi-parameter Patient Monitors

Cite this Research Publication : S. Ramya, C. S. Kumar and P. Muralidharan, "An End-To-End 1D-ResCNN Model For Improving The Performance Of Multi-parameter Patient Monitors," 2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2021, pp. 1-4, doi: 10.1109/ICECCT52121.2021.9616850

Year : 2020

Fusion of Bottleneck Features Derived from CNNs to Enhance the Performance of Multi-Parameter Patient Monitors

Cite this Research Publication : P. Muralidharan and C. S. Kumar, "Fusion of Bottleneck Features Derived from CNNs to Enhance the Performance of Multi-Parameter Patient Monitors," 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2020, pp. 601-605, doi: 10.1109/ICIRCA48905.2020.9183077

Publisher : IEEE

Professional Experience
Position Organization Period Domain
Faculty Associate Amrita Vishwa Vidyapeetham Current ECE
Teaching Assistant Amrita Vishwa Vidyapeetham 1 year ECE
Biomedical Engineer (Observership) Amrita Hospital and Research Center 1 month Dept. of Neurology
Biomedical Engineer (Internship) Dr. D. Y. Patil Hospital and Research Center 1 month Biomedical Dept.
Academic Responsibilities
SNo Position Class / Batch Responsibility
1. Batch Coordinator
2. Program Coordinator
3. Class Adviser 2023- 27 Periodic mentoring of the students to enhance their academic and overall performance.
4. Time-Table Coordinator
5. Academic Coordinator
Participation

Participation in Faculty Development / STTP / Workshops /Conferences

SNo Title Organization Period Outcome
1 India Council International Subsections Conference (INDISCON) IEEE August 5-7, 2023 Paper Presentation
2 International Conference on Computing and Networking Technology (ICCNT) IIT-Delhi and IEEE July 6-8, 2023 Paper Presentation
3 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) IEEE October 14-15, 2022 Paper Presentation
4 International Conference on Electronics, Communication and Computing Technologies (ICECCT) IEEE September 15-17, 2021 Paper Presentation
5 International Conference on Inventive Research in Computing Applications (ICIRCA) IEEE July 15-17, 2020 Paper Presentation
6 DLP on Image Guided Therapy by Dr. Terry Peters IEEE-TSEC EMBS July 4-6, 2018 Attended
7 Robotics and IoT Workshop VJTI, Mumbai Sept 5-7, 2017 Attended

Organizing Faculty Development / STTP / Workshops /Conferences

SNo Title Organization Period Outcome
1. National Workshop on Transforming Healthcare with AI Amrita (IETE-sponsored) November 28-30, 2024 Organizing member
2. AI for Biomedical Signal and Image Processing Amrita (IETE-sponsored) July 10-12, 2023 Organizing member
3. FDP on Digital Electronics Amrita March 2023 Organizing member
Developmental Activities

Research Laboratories – Developed / Associated

Location Name and Year Sponsoring Agency Domain No. of Publications No. of Funded projects No. of PG / PhDs
A-205, AB-II Machine Intelligence Research Lab (2010) NPMASS Signal Processing and Machine Learning 7 PhD:6
Patent
  • System and Method for Detecting a Seizure in a Subject“, filed under Application Number 202541018107 on February 28, 2025.
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