Portfolio

Research Projects

Innovative solutions in energy storage, communication systems, and sustainable technology.

Active

Second-Life EV Battery Storage

Designed a stationary energy storage system at ESTRL Lab using repurposed EV batteries, integrating machine learning for state-of-health prediction.

Machine Learning Python IoT Energy Storage
2024 – Present View Details
Potentiostat Device Research

Low-Cost Potentiostat Development

Created a portable potentiostat with automated SWV-based algorithm for heavy metal ion detection in water, validated against commercial devices.

Embedded Systems Web App Mobile App Arduino
2023 – 2024 View Details
Completed

Distracted Driver Classification

Deep learning model using ResNet9 to classify distracted driver behaviors, achieving 99.22% validation accuracy on State Farm dataset.

Python PyTorch ResNet9 Image Augmentation
ECG Waveform Completed

QRS Detection & ECG Arrhythmia Analysis

MATLAB application using Pan-Tompkins algorithm to detect QRS complexes in ECG signals and analyze arrhythmias through heart rate variability.

MATLAB Pan-Tompkins ECG Processing App Designer