0009-0004-3092-5319 About
Sagnik De completed his B.Tech in Electronics and Communication Engineering (ECE) from the Institute of Radio Physics and Electronics, University of Calcutta, in 2025. A passionate researcher with a deep interest in technology-driven healthcare innovations, he has authored several research papers published in reputed IEEE and Elsevier journals and presented his work at multiple IEEE conferences. He also holds one Indian Utility Patent. His core research interests include AI in Healthcare, Biomedical Signal Processing, LLMs for Clinical Informatics, Human-Computer Interaction (HCI), Neuroengineering, and Medical Image Analysis.
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Publications (19)
- TasteNet: A novel deep learning approach for EEG-based basic taste perception recognition using CEEMDAN domain entropy features Save
- Identification of patients with de novo Parkinson's Disease from chemosensory EEG signals using ICEEMDAN domain Entropy Features Save
- GLEAM: A multimodal deep learning framework for chronic lower back pain detection using EEG and sEMG signals Save
- Quantifying the Impact of Speaker and Content Features on ASR Systems Using Unsupervised Distance Metrics Save
- A Novel Vision Transformer Based Multimodal Fusion Approach for Clinical MDD Diagnosis Using EEG and Audio Signals Save
- ParViT: A modified Vision Transformer architecture for Parkinson's Disease identification using EEG signals Save
- SLiTRANet: An EEG-Based Automated Diagnosis Framework for Major Depressive Disorder Monitoring Using a Novel LGCN and Transformer-Based Hybrid Deep Learning Approach Save
- PsyNet: A robust Deep Learning-based framework for Detecting Psychiatric Disorders using EEG signals Save
- Maestro: A Robust Multi-Head Attention Enhanced CNN Architecture for Heat-Induced Stress Recognition Using EEG Signals Save
- BPWave: An advanced Deep Learning Framework for Continuous Non-Invasive Cuffless Blood Pressure Estimation and Hypertension Detection Save