Sagnik De

Hi! I completed my B.Tech in Electronics and Communication Engineering in 2025 from the Institute of Radio Physics and Electronics (IRPE), University of Calcutta, India. I also completed a Minor in Business Administration from Indian Institute of Technology (IIT) Patna.

My research interests include neuroengineering, ubiquitous computing, medical imaging, brain-computer interfaces, LLMs in healthcare and wearable technologies. More recently, I have been working on Generative AI, particularly Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and agentic AI systems for information retrieval, tool use, and intelligent automation, with a focus on developing applied AI solutions for real-world enterprise clients.

Previously, I was a Winter Research Intern at IIT Delhi with Prof. Tapan Kumar Gandhi, where I worked on graph-based deep learning for anxiety-state detection and real-time seizure prediction from intracranial EEG in a rodent model. I was also a Project Intern at MANIT Bhopal under Dr. Varun Bajaj, where I developed an EEG–fNIRS cross-modal deep learning framework for cognitive task decoding in brain-computer interface applications.

As an IASc-INSA-NASI Summer Research Fellow at IISc Bengaluru under Prof. Prasanta Kumar Ghosh, I worked on acoustic field prediction and dysarthric speech analysis for Parkinson’s disease. At IIIT Naya Raipur under Dr. Anurag Singh, I developed multimodal EEG–speech deep learning frameworks for Major Depressive Disorder diagnosis.

Earlier, at CDAC Pune with Dr. Anil Kumar Gupta, I worked on EEG-based Parkinson’s disease detection and multimodal wearable biosignal analysis. At the University of Calcutta under Dr. Anisha Halder Roy, I worked on EEG–sEMG fusion for lower back pain assessment and EEG-based taste perception analysis.

Please feel free to reach out to me if you want to discuss any ideas or problems!