Paper Accepted to ACC 2025
Our paper Safety for Time-Varying Parameterized Sets Using Control Barrier Function Methods was accepted to the 2025 American Control Conference in Denver, CO.
About Me
I joined the BYU Electrical and Computer Engineering department as an Assistant Professor in 2023. I am associated with the BYU MAGICC Lab. My work focuses on developing safe, intelligent, robust, and resilient multi-agent robotic and autonomous systems. Areas of particular interest include designing algorithms that allow for teams of autonomous robots or agents to safely operate despite the presence of faults or adversarial attacks, and uniting classical and machine learning algorithms through differentiable programming and scientific machine learning.
Interests
- Control Theory
- Multi-Agent Systems
- Machine Learning
- Optimization
- Graph Theory
Education
PhD Aerospace Engineering
University of Michigan
MS Aerospace Engineering
University of Michigan
Research
Recent Publications
(2025).
MAGNET: A Multi-Agent Graph Neural Network for Efficient Bipartite Task Assignment.
24th International Conference on Autonomous Agents and Multiagent Systems.
(2025).
Safety for Time-Varying Parameterized Sets Using Control Barrier Function Methods.
arXiv preprint arXiv:2503.12003.
(2025).
Triangle-Decomposable Graphs for Isoperimetric Robots.
arXiv preprint arXiv:2505.01624.
(2024).
Advances in the theory of control barrier functions: Addressing practical challenges in safe control synthesis for autonomous and robotic systems.
Annual Reviews in Control.
(2022).
Adversarial resilience for sampled-data systems under high-relative-degree safety constraints.
IEEE Transactions on Automatic Control.
Recent & Upcoming Talks
Recent News
Paper Accepted to AAMAS 2025
Our paper MAGNET - A Multi-Agent Graph Neural Network for Efficient Bipartite Task Assignment was accepted to the 24th International Conference on Autonomous Agents and Multiagent Systems in Detroit, MI.