Engineering solutions for real medical challenges
Integrating biomedical signal processing, medical imaging, wearable monitoring and machine learning to improve diagnostic accuracy and patient care.
Research interests
Biomedical Signal Processing
ECG, EEG, EMG analysis, noise reduction, feature extraction.
Medical Imaging Systems
Image enhancement, segmentation, diagnostic imaging algorithms.
Wearable Health Monitoring
IoT-based sensors, real-time physiological monitoring.
Machine Learning in Healthcare
Predictive models for early disease detection.
Rehabilitation Engineering
Assistive devices and therapeutic technology development.
Ongoing research projects
AI-Based Disease Prediction System
Developing machine learning models for early detection of cardiac and neurological disorders.
Low-Cost Biomedical Devices
Creating affordable diagnostic tools for rural healthcare centres.
Smart Wearable Monitoring System
Designing IoT-enabled devices for elderly and chronic patients.
Medical Image Classification
Using deep learning to classify MRI and CT scan abnormalities.
Grants & sponsored projects
Timeline of funded work. Agencies and amounts shown are samples to be replaced with verified records.
AI Disease Prediction Platform
Affordable Diagnostics for Rural Care
Wearable Monitoring for Chronic Patients
Patent portfolio
Low-Cost Wearable Cardiac Monitoring Device
Patent No. — to be updated
System for Non-Invasive Physiological Signal Acquisition
Patent No. — to be updated
Research collaborations
Dr. Yuvaraj actively collaborates with hospitals, research institutions and industry partners so that his research aligns with clinical needs and real-world applications.
- Partnerships with local hospitals for clinical data collection.
- Joint research with engineering institutes on medical device innovation.
- Industry collaborations for prototyping and testing biomedical instruments.
Student research
As a mentor, Dr. Yuvaraj has guided numerous undergraduate and postgraduate students. His students have presented papers at national conferences and won awards for innovative project work.
- ECG / EEG signal analysis projects
- IoT-based health monitoring systems
- Medical image classification using AI
- Biomedical device prototyping and testing