Publications

Research output from the lab and collaborators

Papers on AI safety, autonomous systems, optimization under uncertainty, and sustainable supply chains.

  • 2025 William Xu, Amir Eskanlou, Mansur Arief, David Zhen Yin, Jef K. Caers. “AI-Driven Optimization under Uncertainty for Mineral Processing Operations.” Sustainable Earth Resources Communications, 1(2): 100-112, 2025. Link
  • 2025 Riya Kinnarkar, Mansur Arief. “Optimized Renewable Energy Planning MDP for Socially-Equitable Electricity Coverage in the US.” arXiv preprint. Link
  • 2025 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
  • 2025 Chengyue Dong, Mansur Arief. "Morphing Wing Designs in Commercial Aviation" arXiv preprint. Link
  • 2024 William Xu, Mansur Arief, David Zhen Yin, and Jef Caers. “Designing Mineral Processing Under Uncertainty Using AI: The Case of Phosphogypsum.” AGU 2024. Link
  • 2024 Sharma, Armaan, Mansur Arief. "Hydrogen in Aviation: Evaluating the Feasibility and Benefits of a Green Fuel Alternative." arXiv preprint. Link
  • 2024 Irfan, AA, Nur Ahmad Khatim, Mansur Arief. "Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia." IMMAN 2024. Link
  • 2024 Alonso, Yasmine, Mansur Arief, Anthony Corso, Jef Caers, Mykel Kochenderfer. "Modeling the US Path to Lithium Self Sufficiency using POMDPs." AGU 2024. Link
  • 2023 Arief, Mansur, Yan Akhra, Iwan Vanany. "A Robust and Efficient Optimization Model for Electric Vehicle Charging Stations in Developing Countries under Electricity Uncertainty." Under Review. Link
  • 2022 Amilia, Nissa, Zulkifli Palinrungi, Iwan Vanany, Mansur Arief. "Designing an Optimized Electric Vehicle Charging Station Infrastructure for Urban Area: A Case Study from Indonesia." ITSC, 2022. Link

  • 2025 Liam Kruse, Alexandros Tikas, Harrison Delecki, Mansur Arief, Mykel Kochenderfer. "Enhanced Importance Sampling through Latent Space Exploration in Normalizing Flows." arXiv preprint. Link
  • 2024 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
  • 2025 Delecki, Harrison, Marc Schlichting, Mansur Arief, Anthony Corso, Marcell Vazquez-Chanlatte, Mykel Kochenderfer. "Diffusion-Based Failure Sampling for Evaluating Safety-Critical Autonomous Systems." IEEE ERAS, 2025. Link
  • 2023 Ding, Wenhao, Chejian Xu, Mansur Arief, Haohong Lin, Bo Li, Ding Zhao. "A Survey on Safety-Critical Driving Scenario Generation—A Methodological Perspective." T-ITS, 2023. Link
  • 2023 Arief, Mansur. "Certifiable Evaluation for Safe Intelligent Autonomy." Carnegie Mellon University, 2023. Link
  • 2022 Arief, Mansur, Yuanlu Bai, Wenhao Ding, Shengyi He, Zhiyuan Huang, Henry Lam, and Ding Zhao. "Certifiable Deep Importance Sampling for Rare-Event Simulation of Black-Box Systems." Under Review. Link
  • 2022 Arief, Mansur, Zhepeng Cen, Zhenyuan Liu, Zhiyuan Huang, Bo Li, Henry Lam, and Ding Zhao. "Certifiable Evaluation for Autonomous Vehicle Perception Systems Using Deep Importance Sampling (Deep IS)." ITSC, 2022. Link
  • 2021 Arief, Mansur, Zhiyuan Huang, Guru Koushik Senthil Kumar, Yuanlu Bai, Shengyi He, Wenhao Ding, Henry Lam, and Ding Zhao. "Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy. "AISTATS, 2021. Link
  • 2020 Chen, Rui, Mansur Arief, Weiyang Zhang, and Ding Zhao. "How to Evaluate Proving Grounds for Self-Driving? A Quantitative Approach." T-ITS, 2020. Link
  • 2019 Huang, Zhiyuan, Mansur Arief, Henry Lam, and Ding Zhao. "Evaluation Uncertainty in Data-Driven Self-Driving Testing." ITSC, 2019. Link
  • 2018 Arief, Mansur, Peter Glynn, and Ding Zhao. "An Accelerated Approach to Safely and Efficiently Test Pre-production Autonomous Vehicles on Public Streets." ITSC, 2018. Link

  • 2026 Saleh Afroogh, Seyd Ishtiaque Ahmed, Petra Ahrweiler, David Alvarez-Melis, Mansur Arief, Emilia Barakova, Falco J. Bargagli-Stoffi, Erdem Biyik, et al. “Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions.” arXiv preprint. Link
  • 2026 Nur Ahmad Khatim, Mansur Arief. “Optimized Human-Robot Co-Dispatch Planning for Petro-Site Surveillance under Varying Criticalities.” arXiv preprint. Link
  • 2025 Bernard Lange, Anil Yildiz, Mansur Arief, Shehryar Khattak, Mykel Kochenderfer, Georgios Georgakis. “General-Purpose Robotic Navigation via LVLM-Orchestrated Perception, Reasoning, and Acting.” arXiv preprint. Link
  • 2025 Alexandros E. Tzikas, Nazim Kemal Ure, Mansur Arief, Mykel J. Kochenderfer, Stephen P. Boyd. “Resource Allocation under Stochastic Demands using Shrinking Horizon Optimization.” American Control Conference, 2026. Link
  • 2024 Tzikas, AE, Liam Kruse, Mansur Arief, Mykel Kochenderfer, Stephen Boyd. "Discrete-Time Distribution Steering using Monte Carlo Tree Search." arXiv preprint. Link
  • 2024 Khatim, Nur A., Azmul A Irfan, Amaliya M Hayah, Mansur Arief. "Toward an Integrated Decision Making Framework for Optimized Stroke Diagnosis with DSA and Treatment under Uncertainty." IMIP 2024. Link
  • 2024 Ward, Isaac R., Dylan Asmar, Mansur Arief, Jana K Mike, Mykel Kochenderfer. "Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics." CBMS 2024. Link
  • 2022 Ziyad, Muhammad, Kenrick Tjandra, Mushonnifun Faiz Sugihartanto, Mansur Arief. "An Optimized and Safety-aware Maintenance Framework: A Case Study on Aircraft Engine." ITSC, 2022. Link
  • 2018 Oktavian, Muhammad Rizki, Diana Febrita, Mansur Arief. "Cogeneration Power-Desalination in Small Modular Reactors (SMRs) for Load Following in Indonesia." ICST, 2018. Link
  • 2015 Pujawan, Nyoman, Mansur Arief, Benny Tjahjono, and Duangpun Kritchanchai. "An Integrated Shipment Planning and Storage Capacity Decision under Uncertainty." International Journal of Physical Distribution & Logistics Management (IJPDLM), 2015. Link

  • 2024 Gupta, Abhibha, Rully A Hendrawan, Mansur, Arief. "Enhancing Visual Perception in Novel Environments via Incremental Data Augmentation Based on Style Transfer." arXiv preprint. Link
  • 2022 Abdussyukur, Hafizh, Mahmud Dwi Sulistiyo, Ema Rachmawati, Mansur Arief, Gamma Kosala. "Semantic Segmentation for Identifying Road Surface Damages Using Lightweight Encoder-Decoder Network." ICACNIS, 2022. Link
  • 2020 Arief, Hasan Asy’ari, Mansur Arief, Guilin Zhang, Zuxin Liu, Manoj Bhat, Ulf Geir Indahl, Håvard Tveite, and Ding Zhao. "SAnE: Smart Annotation and Evaluation Tools for Point Cloud Data." IEEE Access, 2020. Link
  • 2019 Arief, Hasan Asy`ari, Mansur Arief, Manoj Bhat, Ulf Geir Indahl, Håvard Tveite, and Ding Zhao. "Density-Adaptive Sampling for Heterogeneous Point Cloud Object Segmentation in Autonomous Vehicle Applications." CVPR Workshops, 2019. Link
  • 2019 Liu, Zuxin, Mansur Arief, and Ding Zhao. "Where Should We Place LiDARs on the Autonomous Vehicle? An Optimal Design Approach." ICRA, 2019. Link