Mansur M. Arief

I am a full-time research engineer at the Stanford Intelligent Systems Lab (SISL) advised by Mykel Kochenderfer with a joint appointment at Mineral-X working with Jef Caers. I am also appointed as an Adjunct Professor at ULBI, Indonesia, to help accelerate innovation in logistics and supply chains through the responsible use of AI and automation. I completed my Ph.D. in Mechanical Engineering from Carnegie Mellon University advised by Ding Zhao in the Safe AI lab. Prior to that, I completed my Bachelor's degree in Industrial and Systems Engineering at ITS, Indonesia and my Master's degree in Industrial and Operations Engineering at the University of Michigan, Ann Arbor.

My research primarily integrates machine learning, optimization, and sample-efficient simulation methods to assist with scalable decision-making under catastrophic failure risks. This approach is particularly useful for V&V of AI-based systems and earth resources supply chain management. For a full list of publications, see the publication page.

I also enjoy teaching and mentoring students, as well as volunteering on various occasions. I have co-instructed courses to help students structure their ideas and plans for data-driven analytics projects. I work with students (graduate, undergraduate, and high school) in various research mentorship capacities. I also serve as a reviewer and program committee member for various journals and conferences in transportation, AI, and sustainability fields. Additionally, I am a Guest Editor for the Special Issue on AI, CPS, and DM in OSCM.

I am grateful to be surrounded by great mentors, collaborators, students, and colleagues on various occasions and am constantly learning from them every single day. I am open to exploring potential collaborations. Here is the link to my CV for further information.

• Mansur Arief, Yasmine Alonso, CJ Oshiro, William Xu, Anthony Corso, David Zhen Yin, Jef Caers, and Mykel Kochenderfer. “Managing Geological Uncertainty in Critical Mineral Supply Chains: A POMDP Approach with Application to US Lithium Resources.” arXiv preprint. [Link]
• Liam Kruse, Alexandros Tikas, Harrison Delecki, Mansur Arief, Mykel Kochenderfer. "Enhanced Importance Sampling through Latent Space Exploration in Normalizing Flows." arXiv preprint. [Link]
• Arief, Mansur, Mike Timmerman, Jiachen Li, David Isele, Mykel Kochenderfer. "Optimized Guided Meta Training for Intelligent Agents under Highly Interactive Driving Scenarios." IEEE RA-L. [Link]