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deepzx987/README.md

Hey! Welcome to my page! πŸ‘‹

GIF


✨ Myself Deepankar. πŸ”¬ A Research Scientist specializing in Machine Learning and Signal Processing with expertise in Electrocardiogram Classification, and Neural network Interpretability/Explanability.

πŸ”­ I’m currently working on Sleep Stage Classification using EEG, Acclerometer, and PPG signals. Additionally, exploring Model Driven Drug Discovery.

πŸŽ“ PhD holder from CSE Department, IIT Guwahati, where I worked on Deep Learning Models for Cardiac Abnormality Detection from ECG Signals from an Interpretability Perspective and presented my research findings at prestigious conferences such as IJCNN, CinC.

πŸŽ“ Completed an M.Tech degree in CSE from IIT Guwahati, excelling in a fascinating area of Seismic signal enhancement using stochastic resonance.

🌟 Recent News & Activities:

  • Paper β€œA Comprehensive Review on Efficient Artificial Intelligence Models for Classification of Abnormal Cardiac Rhythms using Electrocardiograms.” Accepted in Heliyon, ELsevier in 2024.
  • Presented paper at IJCNN in August 2022 at Padua, Italy.
  • Joined Eli Lilly and Company in June 2022.
  • In February 2022, Paper "Atrial fibrillation classification and prediction explanation using transformer neural network” accepted in IJCNN.

πŸ‘― I’m looking to collaborate on ML in Healthcare.

🌱 I’m currently learning Graph Neural Networks and Calisthenics.

πŸ’¬ Ask me about Signals, ML, Finance, Economics, Fitness.

πŸ“« Reach me at Linkedin.

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  1. AFibDetection AFibDetection Public

    Jupyter Notebook

  2. deepzx987.github.io deepzx987.github.io Public

    Website

    CSS

  3. evaluation-2020 evaluation-2020 Public

    Forked from physionetchallenges/evaluation-2020

    Evaluation code for the PhysioNet/Computing in Cardiology Challenge 2020

    Python

  4. deepzx987 deepzx987 Public

    Bio

    Shell