About
I am a PhD candidate in the AiDAPT Lab at TU Delft, Netherlands. My research focuses on applying multi-agent deep reinforcement learning to inspection and maintenance planning of deteriorating engineering systems.
I obtained my master’s degree in Computational Sciences in Engineering (CSE) at TU Braunschweig, Germany in 2021. My focus was on structural mechanics, numerical methods for PDEs, and deep learning. In my master’s thesis, I applied sensitivity analysis to vector-valued functions. Using this experience, I helped develop the sensitivity analysis module in the open-source UQpy package.
Research interests: multi-agent deep reinforcement learning, uncertainty quantification, and physics-informed machine learning.
Contact
I am always open to discussing interesting research ideas! You can reach me at p [dot] bhustali [at] tudelft [dot] nl.