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✨ 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.