Bio


I am a research engineer at Stanford Intelligent Systems Lab (SISL) and Mineral-X. 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. My work mostly focuses on the development of trustworthy AI for safety and sustainability domains. Applications include safety validation of cyber-physical systems, decision making under uncertainty for safe subsurface resource planning and operations, and supply chain designs for energy transition commodities.

Academic Appointments


  • Research Engineer, Aeronautics and Astronautics

Professional Education


  • PhD, Carnegie Mellon University, Mechanical Engineering (2023)
  • MSE, University of Michigan, Ann Arbor, Industrial and Operations Engineering (2018)
  • BE, Institute Technology of Sepuluh Nopember, Indonesia, Industrial and Systems Engineering (2014)

All Publications


  • Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments IEEE ROBOTICS AND AUTOMATION LETTERS Arief, M., Timmerman, M., Li, J., Isele, D., Kochenderfer, M. J. 2025; 10 (2): 1098-1105
  • Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics Ward, I. R., Asmar, D. M., Arief, M., Mike, J., Kochenderfer, M. J., Ochoa-Ruiz, G., Grisan, E., Ali, S., Sicilia, R., Santamaria, L. P., Kane, B., Daul, C., Ante, G. S., Gonzalez, A. R. IEEE COMPUTER SOC. 2024: 192-198
  • A Survey on Safety-Critical Driving Scenario Generation-A Methodological Perspective IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS Ding, W., Xu, C., Arief, M., Lin, H., Li, B., Zhao, D. 2023; 24 (7): 6971-6988
  • An Optimized and Safety-aware Maintenance Framework: A Case Study on Aircraft Engine Ziyad, M., Tjandra, K., Zulvah, Sugihartanto, M., Arief, M., IEEE IEEE. 2022: 2057-2062
  • Certifiable Evaluation for Autonomous Vehicle Perception Systems using Deep Importance Sampling (Deep IS) Arief, M., Cen, Z., Liu, Z., Huang, Z., Li, B., Lam, H., Zhao, D., IEEE IEEE. 2022: 1736-1742
  • Designing an Optimized Electric Vehicle Charging Station Infrastructure for Urban Area: A Case study from Indonesia Amilia, N., Palinrungi, Z., Vanany, I., Arief, M., IEEE IEEE. 2022: 2812-2817
  • How to Evaluate Proving Grounds for Self-Driving? A Quantitative Approach IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS Chen, R., Arief, M., Zhang, W., Zhao, D. 2021; 22 (9): 5737-5748
  • Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems Arief, M., Huang, Z., Kumar, G. S., Bai, Y., He, S., Ding, W., Lam, H., Zhao, D., Banerjee, A., Fukumizu, K. MICROTOME PUBLISHING. 2021: 595-+
  • SAnE: Smart Annotation and Evaluation Tools for Point Cloud Data IEEE ACCESS Arief, H., Arief, M., Zhang, G., Liu, Z., Bhat, M., Indahl, U., Tveite, H., Zhao, D. 2020; 8: 131848-131858
  • Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field Guo, Y., Kalidindi, V., Arief, M., Wang, W., Zhu, J., Peng, H., Zhao, D., IEEE IEEE. 2019: 3974-3980
  • Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach Liu, Z., Arief, M., Zhao, D., IEEE, Howard, A., Althoefer, K., Arai, F., Arrichiello, F., Caputo, B., Castellanos, J., Hauser, K., Isler, Kim, J., Liu, H., Oh, P., Santos, Scaramuzza, D., Ude, A., Voyles, R., Yamane, K., Okamura, A. IEEE. 2019: 2793-2799
  • Evaluation Uncertainty in Data-Driven Self-Driving Testing Huang, Z., Arief, M., Lam, H., Zhao, D., IEEE IEEE. 2019: 1902-1907
  • An Accelerated Approach to Safely and Efficiently Test Pre-Production Autonomous Vehicles on Public Streets Arief, M., Glynn, P., Zhao, D., IEEE IEEE. 2018: 2006–11
  • Synthesis of Different Autonomous Vehicles Test Approaches Huang, Z., Arief, M., Lam, H., Zhao, D., IEEE IEEE. 2018: 2000-2005
  • A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods Huang, Z., Guo, Y., Arief, M., Lam, H., Zhao, D., IEEE IEEE. 2018: 4796-4802
  • An integrated shipment planning and storage capacity decision under uncertainty A simulation study INTERNATIONAL JOURNAL OF PHYSICAL DISTRIBUTION & LOGISTICS MANAGEMENT Pujawan, N., Arief, M., Tjahjono, B., Kritchanchai, D. 2015; 45 (9-10): 913-937