Research & Publications

Voice-based Detection of Parkinson’s Disease Using Machine Learning

Machine learning-based voice analysis system for early detection of Parkinson’s Disease using speech biomarkers.

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A Hybrid Deep Learning Model for ECG Arrhythmia Detection: Integrating CNN, Quantum Computing, and LSTM

Proposed a hybrid framework combining CNNs, LSTMs, and quantum neural networks for accurate arrhythmia detection from ECG signals.

ICEI 2026 — Accepted Paper

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Optimizing Code Feature Extraction and Classification using Random Forest Models on Abstract Syntax Trees

Explored efficient feature extraction techniques from abstract syntax trees (ASTs) for source code classification using Random Forest models.

CICT 2026 — IIITDM Kancheepuram
Accepted & Presented, December 2025

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Explainable AI Framework for Arrhythmia Detection from Multi-Patient ECG Datasets

Designed an explainable AI framework to improve transparency and trust in arrhythmia detection across large, multi-patient ECG datasets.

CICPS 2026 — Accepted Paper

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Revolutionizing Glioma Segmentation & Grading Using 3D MRI — Guided Hybrid Deep Learning Models

Developed a hybrid 3D deep learning approach for accurate glioma tumor segmentation and grading using volumetric MRI data.

ICACRS 2025 — Accepted Paper

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A Hybrid CNN–ViT–GNN Framework with GAN-Based Augmentation for Intelligent Weed Detection in Precision Agriculture

Proposed a multi-model framework combining CNNs, Vision Transformers, and Graph Neural Networks, enhanced with GAN-based data augmentation for precision agriculture.

ICACRS 2025 — Accepted Paper

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Chain-of-Thought Enhanced PDF Chatbot with Knowledge Graph Embeddings

Research work on enhancing document question-answering systems using chain-of-thought reasoning and knowledge graph embeddings.

Awaiting Conference Response