KFUPM — AI Verification & Validation Lab

Building AI Systems
Worthy of Trust

Rigorous verification, validation, and optimization for safety-critical AI — from autonomous vehicles to sustainable energy systems.

50+ Publications
3 Research Themes
8 Focus Areas
2 Research Centers

What We Study

As AI systems make decisions affecting millions of lives — from autonomous vehicles to energy grids — ensuring they are safe, fair, and aligned with human values is no longer optional. Our lab develops the methods to make that possible.

Safety & Verification

Mathematical frameworks and validation methods that find potential failures in autonomous systems 1000x faster than conventional approaches, enabling safety validation in weeks instead of decades.

Optimization & Decision Making

Algorithms for sequential decision-making under uncertainty, integrating reinforcement learning, Bayesian methods, and mathematical optimization for high-stakes environments.

Sustainability & Supply Chains

AI-powered systems for critical mineral exploration, energy resilience, and equitable transitions to clean energy — ensuring the green revolution serves all communities.

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Affiliated with IRC Smart Mobility & Logistics and KFUPM-SDAIA Joint Research Center in AI.

Recent News

2026

2025

Selected Publications

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Interested in joining?

We are looking for motivated researchers at all levels — postdocs, PhD students, master's students, interns, and visiting faculty.

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