Mansur Arief
Postdoctoral Scholar, Aeronautics and Astronautics
Bio
I am a postdoctoral scholar at Stanford Intelligent Systems Lab (SISL). I received my Ph.D. degree in Mechanical Engineering from Carnegie Mellon in 2023 and a master's degree in Industrial and Operations Engineering at the University of Michigan, Ann Arbor. Much of my work combines machine learning and rare-event theories to efficiently simulate rare catastrophic events. The applications of this line of work include the accelerated testing of intelligent systems. Currently, I am working on AI for safety and sustainability projects, which merge efficient simulation frameworks with optimization and decision-making algorithms.
Professional Education
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Bachelor of Engineering, Institut Teknologi Surabaya (2014)
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Doctor of Philosophy, Carnegie Mellon University (2023)
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Master of Science in Engr, University of Michigan Ann Arbor (2018)
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PhD, Carnegie Mellon University, Mechanical Engineering (2023)
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MSE, University of Michigan, Ann Arbor, Industrial and Operations Engineering (2018)
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BE, Institute Technology of Sepuluh Nopember, Indonesia, Industrial and Systems Engineering (2014)
All Publications
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A Survey on Safety-Critical Driving Scenario Generation-A Methodological Perspective
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
2023; 24 (7): 6971-6988
View details for DOI 10.1109/TITS.2023.3259322
View details for Web of Science ID 000966962200001
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An Accelerated Approach to Safely and Efficiently Test Pre-Production Autonomous Vehicles on Public Streets
IEEE. 2018: 2006–11
View details for Web of Science ID 000457881302002