Projects

Simulation of DC-DC Power Converter using Physics-Informed Neural Networks image

Simulation of DC-DC Power Converter using Physics-Informed Neural Networks

Machine Learning PyTorch NumPy ODEs MLP Physics-Informed ML SPICE FPGA MATLAB

The real-time simulation of power converters is necessary for the health monitoring and preventative maintenance to avoid critical failures. Developed a digital twin of a buck converter for simulation and health monitoring to be deployed on FPGA with a 1ns time-step.
Distributed Wireless Sensor Network for Risk Assessment of Levee Breach image

Distributed Wireless Sensor Network for Risk Assessment of Levee Breach

Arduino RaspberryPi Electrical Design PCB Design KiCad nRF24 Module Python C

Developed wireless sensor packages with conductivity probes for distributed real-time soil saturation assessment in levees.
ML Brain Tumor Segmentation image

ML Brain Tumor Segmentation

Machine Learning Image Segmentation PyTorch NumPy Mamba CNN Transformers U-Net

Developed an ML model for image segmentation of brain tumors in MRI images using a Mamba model, a competitor to Transformers boasting a faster throughput. Additional approaches using transformers and CNNs were also implemented.