Autonomous, Automatic and Integrated Targeting, Guidance, Navigation and Control; Optimal Control; Trajectory Optimization; Orbit Determination and Applications.
Research Interests
Integration and execution of 6-degrees–of-freedom extremal trajectory and attitude control algorithms;
Development and validation of an autonomous, automatic and integrated extremal targeting, guidance, navigation and control (TGNC) concepts and software technology for various space operations;
Development of a GNC system software for small satellites;
Autonomous TGNC software development for safe and precision landing at a desired site on a planet;
Trajectory synthesis for deep space and sample return missions;
Unmanned aerial systems dynamics, guidance and control;
Determination of orbits of space objects using observations and their applications to space situational awareness, collision avoidance, orbit maintenance operations, etc;
6-degrees–of-freedom extremal trajectory and attitude control;
Autonomous, automatic and integrated extremal targeting, guidance, navigation and control technology for aerospace systems
Analytical synthesis of extremal trajectories for space missions;
Orbit determination using observations and applications.
Kinetic theory, Non-equilibrium gas dynamics, Hypersonic rarefied gas dynamics, Multiscale flow, Plasma dynamics, Electric Propulsion, Space propulsion
Research Interests
Numerical analysis of hypersonic entry/re-entry flow for next generation solar system exploration
Develop statistical solution algorithms for multiscale flow
High altitude rocket plume analysis such as a propulsion system of small satellites
Extend current physical model of Fokker Planck statistical method
Small Satellites, CubeSats, Multi-Agent Robotic Systems (MARS), Guidance Navigation and Control (GNC), Flight Software, Space mission planning, Space Sensor development
Robotics, Autonomy, Guidance, Navigation and Control
Research Interests
Sensor fusion using stochastic filtering and probabilistic inference
Autonomous navigation and path planning for autonomous systems; Optimal path planning in uncertain environments; Visual guidance using plenoptic imaging
Inertial navigation systems in GPS-denied environments; Resilient navigation based on system redundancy; Cooperative localization for multi-agent systems
Multi-agent swarming and flocking control; Decentralized control and coordination
Design novel spacecraft systems in physical morphology and algorithms that enhance space exploration capabilities
Explore faraway, scientifically rich environments by applying my dynamics and control knowledge and integrating machine learning models for better autonomy and adaptability
Develop intelligent robots to autonomously navigate and probe scientific hotbeds in extreme terrains intermediately on Earth, like glaciers, hydrothermal vents, and underwater volcanoes, which offer analogues to space environments and independently have scientific value
Derive guarantee of safety of machine learning techniques for dynamic systems
Augment human exploration through cooperation and interaction with these intelligent robots