Research Areas

Aerospace & AI

leveraging cutting-edge AI technologies such as Large Language Models (LLMs) and reinforcement learning in aerospace autonomy, such as mission planning, task allocation, path planning, and control. 
Energy-Aware Planning and Operation

involves developing mathematical frameworks to estimate power usage during flight
Tethered & Airborne Wind Energy Systems

 investigating methodologies for dynamics modeling, trajectory planning, and control of tethered and high-altitude airborne wind energy systems by leveraging finite-element methods, optimal control, and reinforcement learning
State Estimation and Uncertainty Representation

integrating scalable uncertainty representation in state estimation and state-of-the-art learning and reasoning solutions to enable adaptive and robust decision-making framework for autonomous systems in resource-constrained environments

 

Research Projects

NASA University Leadership Initiative (ULI)

The overarching goal of this ULI project is to develop a mobility-energy-coordinated platform for efficient infrastructure planning.
NASA Transformational Tools and Technologies (T3) Project

Multiple-Vehicle m:N operational architectures promise to improve air transportation cost and scalability for Advanced Air Mobility (AAM) by enabling fewer human operators to manage increasingly autonomous vehicles.
Toyota Mothership Project

Leveraging reinforcement learning for path planning and control of high-altitude tethered airborne systems to optimize energy harvesting in environments with uncertain and varying wind conditions.
The Carrizo Pumped Storage Hydropower

The Carrizo Pumped Storage Hydropower (PSH) DOE project conducts a holistic study covering civil design, transmission, market assessment, renewable integration, community benefits, and permitting to advance licensing, reduce revenue uncertainty, and ensure stakeholder and Navajo Nation engagement. 
Safe, Efficient, and Collaborative Intelligence for Autonomous Systems
 
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