Mohammed Alnuwaiser
Making AI-planned drone teams fail safely, accepted at an IEEE conference
Language models are starting to plan missions for teams of drones, but a single bad plan can cascade across the whole fleet. Mohammed studied where validation checks should sit in that planning process, and how their placement affects both how well failures are contained and how much compute the system spends. His paired study gives a practical answer to a question that matters as AI takes on more control of physical systems.
AI & Autonomous Systems
First-author paper accepted at an IEEE conference
IEEE, 2026
Mohammed Alnuwaiser, YRI Fellow
An 11th grader in Riyadh, Saudi Arabia with a strong interest in using AI to solve real problems, and no published research.
First author of a study on validation and failure containment in AI-planned multi-drone missions, accepted at an IEEE conference.
First-author paper accepted at an IEEE conference
Studied failure containment in AI-planned multi-drone missions
Measured the tradeoff between validation placement and compute cost
Research from Saudi Arabia on safety in autonomous systems
Adit Agarwal, First-author paper accepted at an IEEE conference
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