Publications

Long Short-Term Memory-Enabled Electromyography-Controlled Adaptive Wearable Robotic Exoskeleton for Upper Arm Rehabilitation

Biomimetics - MDPI

A wearable robotic exoskeleton powered by EMG data and LSTM neural networks achieves highly accurate upper arm rehabilitation with 96% prediction accuracy, 89% exoskeleton control accuracy, and 97% range of motion correction performance, offering personalized adaptive support for patients recovering from illness, accidents, or surgery.

Vision-Driven Diagnostic Intelligence Through Deep Learning for Retinal Health Analytics

2025 Moratuwa Engineering Research Conference (MERCon)

This study uses retinal fundus images with ResNet101 and U-Net models to classify ARMD, DR, and key retinal lesions with high precision and segmentation accuracy. The results demonstrate strong potential for automated vascular health monitoring using deep learning.

Sinhala Language Specific Vocal Biomarker Extraction for Parkinson's Diagnosis Using Machine Learning

2025 Moratuwa Engineering Research Conference (MERCon)

Early Parkinson's detection was explored using Sinhala voice biomarkers by analyzing vowel sounds from Sri Lankan patients with machine learning models. A hybrid SVM–Logistic Regression classifier achieved 87% accuracy, showing strong potential for low-resource screening.

Assistive Cartesian Healthcare Robot for Forearm Vein Puncturing

2024 6th International Conference on Advancements in Computing (ICAC)

A medical robot using Cartesian coordinate mechanisms and advanced sensor technology achieves highly accurate automated venipuncture with 90.9% box prediction accuracy, 94.9% vein segmentation accuracy, and 98.7% puncturing success rate, reducing human error and improving patient outcomes in healthcare settings.