Captain Mahdi Al-Husseini is a US Army experimental test pilot in training and an AI researcher. He has logged 850+ flight hours in 20+ models of aircraft and possesses FAA commercial ASEL/S and AMEL/S, CFI/I, and MEI ratings. Mahdi is a PhD candidate at the Stanford Intelligent Systems Laboratory (SISL), where he develops models and algorithms for semi-decentralized multi-agent systems in communication constrained environments. He received a BS in Biomedical Engineering, BS in Public Policy, and MS in Computer Science from Georgia Tech, and an MS in Aeronautics & Astronautics from Stanford. Mahdi is a registered patent agent, licensed professional engineer, and inventor with 30+ patents and patent applications, several of which have been acquired by the military and industry. He is a high-altitude military parachutist with 80+ jumps and has an affinity for flying multi-engine seaplanes and scuba diving.
APR 2026
My conference paper on approximate heuristic search techniques for semi-decentralized systems was accepted to IJCAI 2026.
APR 2026
Accepted for an oral presentation on multi-spacecraft collision avoidance under communication constraints at the 2026 Astrodynamics Specialist Conference.
MAR 2026
Three new patents granted, related to military freefall safety and automated personnel identification.
DEC 2025
My journal paper on designing high-fidelity medical evacuation wargames was accepted to the Journal of Defense Modeling and Simulation.
DEC 2025
My conference paper on semi-decentralized multiagent control was accepted to AAMAS 26.
NOV 2025
I have passed qualifying exams and am officially a PhD candidate!
OCT 2025
Granted a utility patent on systems and methods for a cold-cathode tube electronic mortarboard matrix display.
SEP 2025
My journal paper on automating flight data capture and maneuver performance analysis using computer vision and machine learning techniques has been accepted into IEEE Intelligent Systems.
AUG 2025
My journal paper on novel occulometric assessments for determining risk factors in military aviation was accepted into Aerospace Medicine and Human Performance.
AUG 2025
My journal paper on semi-Markov multimodal maritime medical evacuation planning was accepted into a special issue of AI Magazine.
AUG 2025
I was selected for the Army Experimental Test Pilot (XP) program!
JUL 2025
Another utility patent granted, related to the use of computer vision and machine learning techniques for military formation flight.
JUN 2025
My journal paper on revising the Army's Medical Evacuation Doctrine Course for large-scale combat was accepted into Military Medicine.
MAY 2025
I was selected as 2025 Knight-Hennessy Scholar!
APR 2025
I was selected as 2025 Paul and Daisy Soros Fellow!
DEC 2024
My paper on translating emergent behaviors realized from artificial intelligence models into military medical capabilities has been selected as the honorable mention in the future operations category of the Major General "Harry" Greene Acquisitions Writing Award competition.
DEC 2024
Two utility patents granted in the last month, both of which relate to aircraft systems for education and safety.
NOV 2024
I was admitted into the Stanford PhD program for Aeronautics & Astronautics at the Stanford Intelligent Systems Laboratory (SISL)!
OCT 2024
My paper on semi-Markovian planning for maritime ambulance exchange points was accepted into the 37th Annual Conference for Innovative Applications of Artificial Intelligence (IAAI-25), and was selected for the innovative deployment award.
SEP 2024
Another utility patent granted for hoist stabilization systems and methods, this time using control moment gyroscopes.
SEP 2024
My paper on operational and technical considerations for a proposed joint medical evacuation operating concept in the Indo-Pacific has been accepted to the US Army War College's Parameters journal.
JUN 2024
My paper on the maritime ambulance exchange points has been accepted into the Air Medical Journal (AMJ) and will be published as the cover feature for the Spring 2025 edition.
FEB 2024
My military unit, C/3-25 Lightning DUSTOFF, was collectively awarded the Airbus-sponsored Robert M. Leich Army Aviation award for innovation during MEDEVAC Projects Week, a military exercise I proposed and organized in October 2023.
JAN 2024
My paper on novel hierarchical frameworks for the joint wildfire surveillance and suppression problem has been accepted into the Journal for Aerospace Information Systems (JAIS).
