Research interests include leveraging dynamical systems techniques and machine learning approaches to explore multi-body systems, thereby enabling rapid and well-informed trajectory design and optimization for both large spacecraft and small satellites, as well as the analysis of natural celestial bodies.
Spacecraft Trajectory Design and Optimization, Dynamical Systems Theory, Mission Design, CubeSats, Reinforcement Learning, Unsupervised Learning, Machine Learning
ASEN 5050 - Space Flight Dynamics
Fall 2018 / Fall 2019 / Spring 2021
Includes celestial mechanics, space navigation, and orbit determination; trajectory design and mission analysis trajectory requirements; and orbital transfer and rendezvous. Degree credit not granted for this course and ASEN 5052. Recommended prerequisite: ASEN 3200 or equivalent or instructor consent required.
ASEN 6060 - Advanced Astrodynamics
Covers Lagrangian and Hamiltonian formalisms for astrodynamics problems, the computation and characterization of space trajectories in highly dynamic environments, computation of periodic orbits, stability analysis of orbital motion, and development of analytical theories for dynamics. Recommended prerequisite: ASEN 5050 or equivalent or instructor consent required.