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
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Potentiostat Device for Heavy Metal Detection
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
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Completed

Distracted Driver Classification

Developed a deep learning model using ResNet9 architecture to classify distracted driver behaviors, achieving 99.22% validation accuracy on the State Farm Distracted Driver Detection dataset.

Python PyTorch ResNet9 Image Augmentation
ECG Waveform for QRS Detection
Completed

QRS Detection & ECG Analysis for Arrhythmia

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

MATLAB Pan-Tompkins Algorithm ECG Signal Processing App Designer