Project 3: Underfrequency Load Shedding Implementation in PSS/E
The project implements Underfrequency Load Shedding (UFLS) in PSS/E to prevent blackouts by optimizing load shedding strategies using QV analysis and Newton-Raphson method. Simulations demonstrate improved Frequency Nadir and ROCOF, enhancing grid reliability and resilience.
Project 4: Brain Tumor Detection on MRI image
This project develops an advanced brain tumor detection system using MRI images, integrating image processing and machine learning for accurate diagnosis. By enhancing tumor identification and classification, it aims to improve early detection, treatment planning, and patient outcomes.