Hello, I'm

Pooja Muralidharan

Machine Learning Engineer
& Ph.D. Researcher

Specializing in AI, Signal Processing, and Wearable Healthcare Applications.

puujamuralidharan@gmail.com LinkedIn
Pooja Muralidharan

About Me

Machine Learning Engineer and Ph.D. researcher specializing in Artificial Intelligence and Signal Processing, with hands-on experience developing deep learning models for wearable healthcare applications. Strong expertise in signal processing, feature engineering, time-series analysis and predictive modeling.

Proven ability to translate research into practical AI solutions, demonstrated through multiple peer-reviewed publications, patented innovations, and end-to-end development of healthcare monitoring systems. Proficient in Python and modern ML frameworks, with experience mentoring AI projects and collaborating across multidisciplinary teams.

Passionate about building scalable, data-driven solutions that solve complex real-world problems in industry.

Technical Skills

Languages & Tools

Python MATLAB R Linux Git & GitHub VS Code

Frameworks & Libraries

Tensorflow Keras Scikit Numpy Pandas OpenCV Scipy Matplotlib

Core Concepts

Signal Processing Time-Series Analysis Deep Learning Machine Learning Supervised & Unsupervised Learning Predictive Modeling Feature Engineering Statistical Analysis IoT

Experience

Assistant Professor

Amrita Vishwa Vidyapeetham

July 2024 - Present

Teaching Assistant

Amrita Vishwa Vidyapeetham

March 2023 - June 2024

Observership

Amrita Institute of Medical Sciences and Research Center

March 2022 - April 2022

Coding Instructor

Whitehat Educational Technology Pvt. Ltd.

October 2020 - October 2023

Biomedical Engineer (Intern)

D.Y. Patil Hospital and Research Center

May 2019 - June 2019

Education

Ph.D. in Biomedical Signal Processing and Deep Learning

Amrita School of Engineering, Coimbatore
Amrita Vishwa Vidyapeetham, India

June 2020 - Present CGPA: 9.31

M.Tech in Biomedical Engineering

Amrita School of Engineering, Coimbatore
Amrita Vishwa Vidyapeetham, India

June 2018 - June 2020 CGPA: 8.87

B.E. in Biomedical Engineering

MGM’s College of Engineering and Technology
Navi Mumbai, Maharashtra, India

June 2014 - June 2018 CGPA: 8.18

HSC / SSC

Maharashtra State Board

HSC: March 2014 (70.46%) SSC: March 2012 (84.36%)

Administrative Roles

Class Advisor

Mentoring of ECE-B (2023-2027) batch students.

Department Co-ordinator

Gokulashtami 2024 & 2025 (Restoration Co-ordinator).

Event Co-ordinator

Mime Competition (GK 2024) & Department-level Sports Event (GK 2024).

Organising Member (NW-THAI-2024)

Website creation, brochure preparation, publicity, and installation support.

Organising Member

AI for Biomedical Signal and Image Processing (Amrita, July 2023).

Organising Member

FDP on Digital Electronics (Amrita, March 2023).

Workshops & Participations

  • Faculty Development Programme on No Code/Low Code Machine Learning and Deep Learning with MATLAB

    February 10, 2026

  • Paper Presentation: International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)

    Chennai, India - 2026

  • Workshop on The Overview of IP Laws in India

    April 26, 2025

  • Two-Day Workshop on Enhancing Counselling Skills

    March 21-22, 2025

  • ATAL Faculty Development Program on Supercomputing

    February 17-22, 2025

  • Paper Presentation: India Council International Subsections Conference (INDISCON)

    IEEE - August 5-7, 2023

  • Paper Presentation: International Conference on Computing and Networking Technology (ICCNT)

    IIT-Delhi and IEEE - July 6-8, 2023

  • Paper Presentation: IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)

    IEEE - October 14-15, 2022

  • Paper Presentation: International Conference on Electronics, Communication and Computing Technologies (ICECCT)

    IEEE - September 15-17, 2021

  • Paper Presentation: International Conference on Inventive Research in Computing Applications (ICIRCA)

    IEEE - July 15-17, 2020

  • DLP on Image Guided Therapy by Dr. Terry Peters

    IEEE-TSEC EMBS - July 4-6, 2018

  • Robotics and IoT Workshop

    VJTI, Mumbai - Sept 5-7, 2017

Research & Publications

  • A Wearable Seizure Prediction System Using Adaptive Cepstral Weighting of Electrocardiogram Signals

    Indian Patent Status: Published, Application Number: 202641072624

  • A System and Method for Reducing the Footprint of Seizure Prediction System Using Electrocardiogram

    Indian Patent Status: Published, Application Number: 202641034880

  • System and Method for Detecting a Seizure in a Subject

    Indian Patent Status: Published, Application Number: 202541018107

  • System and Method for Detecting a Seizure in a Subject

    US Patent Status: Filed, Application Number: 19/282,801

  • P. Muralidharan, C. S. Kumar, R. N. Menon, H. Li, K. I. Ramachandran and R. Sankaran, "Improving Epileptic Seizure Prediction Using ECG From Wearable Sensors Through Spectral Whitening and Cepstral Processing," IEEE Access, vol. 14, pp. 94874-94898, 2026, doi: 10.1109/ACCESS.2026.3705507.

  • P. Ananya, A. Sriram, J. J. Britto, C. S. Kumar and P. Muralidharan, "Towards Developing a Wearable Device to Predict Epileptic Seizures Using ECG Signals," 2026 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET), Chennai, India, 2026, pp. 1-6, doi: 10.1109/WiSPNET69615.2026.11489453.

  • P. Muralidharan et al., “Seizure information enrichment in ECG through spectral whitening for improving epileptic seizure prediction”, Computers in Biology and Medicine, 2025, doi: 10.1016/j.compbiomed.2025.109929.

  • P. Muralidharan et al., “AI in ECG: Validating an Ambulatory Semiology Labeller and Predictor”, Epilepsy Research, 2024, doi: 10.1016/j.eplepsyres.2024.107403.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.