Bio

Research Area: Deep learning Koopman operator theory for linearization and optimal control of nonlinear dynamical systems

Masters Thesis title: Deep Learning System Identification, Linearization and Control of Dynamical Systems utilizing Koopman Theory with Applications in Orbital Systems

PhD Thesis title : Guided Imitation Learning for Autonomous Spacecraft Control Using Reinforcement Learning Experts

Research Area: Deep Koopman operator theory with emphasis on developing linear control systems for complex nonlinear space applications. End to End control of autonomous spacecraft using Reinforcement Learning coupled with Imitation Learning.

Expected graduation date: May 2027