✨ Myself Deepankar. 🔬 A Research Scientist specializing in Machine Learning and Signal Processing with expertise in Electrocardiogram Classification, and Neural network Interpretability/Explanability.
🔭 I’m currently working on Sleep Stage Classification using EEG, Acclerometer, and PPG signals. Additionally, exploring Model Driven Drug Discovery.
🎓 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.
🎓 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 “A 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.
👯 I’m looking to collaborate on ML in Healthcare.
🌱 I’m currently learning Graph Neural Networks and Calisthenics.
💬 Ask me about Signals, ML, Finance, Economics, Fitness.
📫 Reach me at Linkedin.