July 2025

This project focuses on the development and testing of an advanced control strategy known as Model Predictive Control (MPC). As modern industrial systems become increasingly complex, traditional controllers such as PID are often no longer sufficient — especially when systems involve multiple variables, constraints, or the need to optimize performance. Read more

This semester, we explored how machine learning can accelerate drug discovery — specifically, how it can be used to predict molecular docking scores without running expensive simulations. Docking simulations are commonly used to evaluate how well a small molecule (such as a drug candidate) binds to a target protein — Read more