I'm a Ph.D. candidate in the Stanford University Department of Aeronautics and Astronautics studying decision making under uncertainty and human-AI collaboration. My research focuses on developing methods to improve how humans and autonomous systems work together, with applications ranging from robotics to medical systems.
I conduct research at the Stanford Intelligent Systems Laboratory (SISL) under the guidance of Mykel Kochenderfer. I am a Hugh H. Skilling Stanford Graduate Fellow and have served as Head Teaching Assistant for Decision Making Under Uncertainty (AA228/CS238) and Engineering Design Optimization (AA222/CS361).
Before Stanford, I researched airborne collision avoidance systems at MIT Lincoln Laboratory while completing my M.S. in Aeronautics and Astronautics, contributing to the development of ACAS X. I then served as an F-22 Operational Test and Evaluation Pilot with the United States Air Force, leading initiatives to modernize data analytics in operational testing. I continue to serve as an F-22 pilot with the Nevada Air National Guard.
Feel free to connect via LinkedIn or email at Dylan.Asmar (at) gmail.com for research discussions or collaboration opportunities.

Selected Publications

Efficient Multiagent Planning via Shared Action Suggestions

Dylan M. Asmar and Mykel J. Kochenderfer

Under Review, 2024

Large-Scale Multi-Robot Assembly Planning for Autonomous Manufacturing

Kyle Brown, Dylan M. Asmar, Mac Schwager, and Mykel J. Kochenderfer

Under Review, 2024

Model Predictive Optimized Path Integral Strategies

Dylan M. Asmar, Ransalu Senanayake, Shawn Manuel, and Mykel J. Kochenderfer

IEEE International Conference on Robotics and Automation (ICRA), 2023

Collaborative Decision Making Using Action Suggestions

Dylan M. Asmar and Mykel J. Kochenderfer

Advances in Neural Information Processing Systems (NeurIPS), 2022

Master's Thesis

Airborne Collision Avoidance in Mixed Equipage Environments

Dylan M. Asmar

Master's thesis, Massachusetts Institute of Technology, 2013