For the Semester Project II, I worked on model identification of a propylene polymerisation reactor using physics-informed neural networks (PINNs). The project consisted of two main parts – mathematical modelling of a fluidized bed reactor Read more
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 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 Read more