Mahdi Al-Husseini
Scholar

Mahdi Al-Husseini

Google Scholar ID: M5re11gAAAAJ
Stanford University
Multi-Agent SystemsHierarchical StructuresCommunicationReinforcement LearningMDPs
Citations & Impact
All-time
Citations
34
 
H-index
3
 
i10-index
1
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - Published multiple journal papers covering topics such as automated flight data capture, risk factor assessment in military aviation, and maritime medical evacuation planning
  • - Holds 30+ patents and patent applications, several of which have been acquired by the military and industry
  • - Recipient of various honors, including 2025 Knight-Hennessy Scholar and 2025 Paul and Daisy Soros Fellow
Research Experience
  • - Member of the Army Experimental Test Pilot (XP) program
  • - Involved in multiple research projects, including automating flight data capture and maneuver performance analysis, novel occulometric assessments for determining risk factors in military aviation, and more
Education
  • - Georgia Tech: BS in Biomedical Engineering, BS in Public Policy, MS in Computer Science
  • - Stanford University: MS in Aeronautics & Astronautics
  • - Currently pursuing a PhD in Aeronautics & Astronautics at Stanford University
Background
  • Active-duty US Army experimental test pilot in training. Has logged 850+ flight hours in 20+ models of aircraft and possesses FAA commercial ASEL/S and AMEL/S, CFI/I, and MEI ratings. PhD student at the Stanford Intelligent Systems Laboratory (SISL), developing models and algorithms for semi-decentralized multi-agent systems in communication constrained environments.
Miscellany
  • Registered patent agent, licensed professional engineer, high-altitude military parachutist with 100+ jumps. Enjoys flying multi-engine seaplanes and designing custom electronic displays using vintage cold-cathode tubes.
Co-authors
0 total
Co-authors: 0 (list not available)