Mansur Maturidi Arief
Scholar

Mansur Maturidi Arief

Google Scholar ID: VbJC_9kAAAAJ
Stanford University
Rare-event simulationimportance samplingautonomous vehiclesafety analysissustainability
Citations & Impact
All-time
Citations
717
 
H-index
12
 
i10-index
16
 
Publications
20
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • Recent publications include 'Managing Geological Uncertainty in Critical Mineral Supply Chains: A POMDP Approach with Application to US Lithium Resources' and 'Enhanced Importance Sampling through Latent Space Exploration in Normalizing Flows.' Serves as Editor-in-Chief for OSCM Journal and as a reviewer for leading AI, transportation, and sustainability venues.
Research Experience
  • Works as a Research Engineer at both the Stanford Intelligent Systems Lab (SISL) and Mineral-X; focuses on ensuring equitable and just energy transitions through resilient critical mineral supply chains, safety-aware geothermal and subsurface applications, and robust AI system verification and validation methods that can manage catastrophic failure risks in critical infrastructure.
Education
  • Earned a Ph.D. in Mechanical Engineering from Carnegie Mellon University under Ding Zhao in the Safe AI lab. Also serves as Adjunct Professor at ULBI, Indonesia.
Background
  • AI safety and sustainability researcher with executive leadership responsibilities at Stanford University, serving as Executive Director of the Stanford Center for AI Safety. Research interests include machine learning, optimization, and simulation to create trustworthy AI systems for high-stakes applications in both safety and sustainability domains.
Miscellany
  • Enjoys teaching and mentoring students at all levels, having co-instructed courses on data-driven analytics and guided numerous research projects. Participates in various academic conferences and forums, such as AGU 2025, Silicon Valley Minerals Forum 2025, and more.