I am a 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 earned my Ph.D. in Mechanical Engineering from Carnegie Mellon University in 2023 in the Safe AI lab. Prior to that, I completed my Bachelor's degree in Industrial and Systems Engineering at Institut Teknologi Sepuluh Nopember (ITS) in Indonesia and my Master's degree in Industrial and Operations Engineering at the University of Michigan, Ann Arbor.
My research primarily integrates machine learning with rare-event theory to efficiently simulate rare catastrophic events. This approach is particularly useful in the accelerated safety testing of autonomous vehicles. Currently, I am engaged in several projects that leverage AI to enhance safety and sustainability in decision-making contexts. For a concise overview of my work, please visit my research page. I am always open to exploring potential collaborations, especially in domains that combine AI, safety, and sustainability. Here is the link to my CV for further information.
For full publications list, see the publication page. Here are the most recent ones:- Arief, Mansur, Mike Timmerman, Jiachen Li, David Isele, Mykel Kochenderfer. "Optimized Guided Meta Training for Intelligent Agents under Highly Interactive Driving Scenarios." Under review. [Link]
- Delecki, Harrison, Marc Schlichting, Mansur Arief, Anthony Corso, Marcell Vazquez-Chanlatte, Mykel Kochenderfer. "Diffusion-Based Failure Sampling for Cyber-Physical Systems." Under review. [Link]
- 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]
- 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]
- 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]
2024
10/01/24
09/05/2024
- A mentor team won the best presentation award at IMMAN 2024 for their work on LLMs for Efficient Electronic Health Record (EHR) data in Indonesia.
08/17/2024
- I received the award for an Outstanding Indonesian Academic Diaspora 2024 from the Consulate General of the Republic of Indonesia in San Francisco.
08/08/2024
- I will be speaking at the Nanyang Technological University (NTU) in Singapore on “Developing Safe Cyber-Physical Systems for Safety-Critical Applications” on August 20th, 2024. Please join us!
08/07/24
- Two abstracts submitted to AAAI 2025.
2024
08/02/24
- We also make public our ongoing work on Geosteerings.jl, an MDP and POMDP package for a simple geosteering problem. This is a joint work between SISL and Mineral-X, with William Xu, Jihui Ding, Jef Caers, and Mykel Kochenderfer.
08/01/24
- We make public our ongoing work on Lithium Supply Chain POMDP for critical mineral supply chain design. This is a joint work between SISL and Mineral-X, with Yasmine Alonso, CJ Oshiro, William Xu, Anthony Corso, Jef Caers, and Mykel Kochenderfer.
07/30/24
- I will be speaking at the Indonesia Sustainability Forum’s Virtual Academic Dialogue in September 2024. Please join us!
07/20/24
- I am serving as a Guest Editor for the Special Issue on AI, CPS, and Decision Making in OSCM Context for the OSCM Journal. Please consider submitting your work!
07/15/24
- One paper submitted to RA-L.
07/06/24
- I presented “AI for Safer and More Efficient Long-Haul Goods Transportation” at the 2024 Supply Chain Innovation Summit by ISCEA Indonesia
05/29/24
- I attended the CPS Rising Stars 2024 Workshop at the University of Virginia by the LinkLab and will be presenting my research on Trustworthy AI for Safe CPS.
05/22/24
- Sofia and I presented our GeothermalPOMDP ongoing work at 2024 SCERF annual meeting.
05/15/24
- Two papers submitted to RA-L.
05/10/24
- One paper accepted to CBMS 2024.
05/06/24
- I was invited to give a lecture on Green Jobs and Intelligent Systems to the Net-Zero Heroes participants by Gawirea and AmatiIndonesia.
05/02/24
- I gave a talk on Intelligent Systems for Energy Transition at the International Public Guest Lecture by ISE ITS.
05/01/24
- I am a Technical PC for IAVVC 2024, which is now accepting submissions. Feel free to submit your verification and validation of automated vehicles research.
04/17/24
- I presented a summary of my research on Developing Safe AI for High-Stakes Applications (with geothermal exploration and energy transition examples) at the Mineral-X meeting.
04/08/24
- I was selected as a 2024 CPS Rising Stars Workshop participant at the University of Virginia.
02/03/24
- I delivered a keynote speech on “Engineering, Technology, and Society - Collaborative Innovation for Human-centered Designs” at the 8th International Conference on Management of Technology, Innovation, and Project (MOTIP 08).
01/31/24
- Grist published an article that mentioned my story transitioning into critical mineral and sustainability research, excellently written by Maddie Stone.
01/31/24
- The INTERSECT 2024 conference is coming up. Feel free to submit your work related to the conference theme “Indonesia at the crossroad of technology, sustainabilty, and society”.
01/27/24
- I was invited by MINDSTEM.id to give a talk on research collaboration and publication for Indonesian scholars. The talk was attended by 50+ scholars from various disciplines in Indonesia.
01/10/24
- One paper from a group of research mentees on integrated medical decision making for stroke diagnosis and treatment is submitted and accepted for Intelligent Medicine and Image Processing (IMIP 2024) conference in Bali.
01/04/24
- I won a (mini) research grant from the Institute for International Indonesian Scholars (I-4) on AI-driven support systems for healthcare applications.
2023
09/16/23
- I founded IndoSTEELERS (Indonesian Scholars Thriving in Excellence in Education, Learning, and Research) with a bunch of great Indonesian scholars in Pittsburgh encompassing various disciplines.
09/15/23
07/31/23
- We submitted an abstract to AGU 2023
07/01/23
- I presented Artificial Intelligence for Smart Logistics in the International Webinar of Business and Industrial Application Division, hosted by BRAIN, IPB University.
06/01/23
- I joined SISL as a postdoc.
05/12/23
- I graduated from CMU.
04/19/23
- I successfully defended my dissertation “Certifiable Evaluation for Safe Intelligent Autonomy”.
2022
03/15/22
- I helped colleagues from KTH Royal Institute of Technology (Sweden), ITS (Indonesia), and CMU ESTP (USA) and submitted two more papers to ITSC 2022.
03/02/22
- We submitted a survey paper on safety-critical driving scenario generation for journal publication.
03/01/22
- I submitted one paper to ITSC 2022.
01/31/22
- I presented a summary of our past work on “Certifiable Deep Importance Sampling for Rare-Event Simulation of Black-Box Systems” to SISL lab meeting (Stanford).
2021
03/03/21
- I presented Deep-PrAE work at SIAM CSE 2021.
01/22/21
- One paper accepted to AISTATS 2021.
2020
2023
12/21/23
- I discussed Intelligent Systems for High-Stakes Business Applications to SIMT ITS students and faculty and public.
11/08/23
- I presented ISE Methods in Building Reliable AI Systems to graduate students and faculty at ISE ITS.
10/12/23
- I joined NPA International Taskforce as a volunteer to help international postdocs in the US.
10/01/23
- Our initial study on POMDP for studying the design of critical mineral supply chains was accepted at AGU 2023.
09/30/23
- I presented my PhD research on Safety Evaluation of Self-Driving Cars at TeachTalk organized by the Indonesian Lecturer Association to 180+ faculty members from various universities across Indonesia.
09/16/23
- I founded IndoSTEELERS (Indonesian Scholars Thriving in Excellence in Education, Learning, and Research) with a bunch of great Indonesian scholars in Pittsburgh encompassing various disciplines.
09/15/23
07/31/23
- We submitted an abstract to AGU 2023
07/01/23
- I presented Artificial Intelligence for Smart Logistics in the International Webinar of Business and Industrial Application Division, hosted by BRAIN, IPB University.
06/01/23
- I joined SISL as a postdoc.
05/12/23
- I graduated from CMU.
04/19/23
- I successfully defended my dissertation “Certifiable Evaluation for Safe Intelligent Autonomy”.
2022
09/27/22
- I presented Deep IS work at ITSC 2022.
09/25/22
- I started volunteering at AFS USA.
08/01/22
- I submitted the journal version of our Deep IS work.
06/15/22
- Two other papers I co-authored were accepted at ITSC 2022.
06/15/22
- Deep IS paper accepted at ITSC 2022.
03/15/22
- I helped colleagues from KTH Royal Institute of Technology (Sweden), ITS (Indonesia), and CMU ESTP (USA) and submitted two more papers to ITSC 2022.
03/02/22
- We submitted a survey paper on safety-critical driving scenario generation for journal publication.
03/01/22
- I submitted one paper to ITSC 2022.
01/31/22
- I presented a summary of our past work on “Certifiable Deep Importance Sampling for Rare-Event Simulation of Black-Box Systems” to SISL lab meeting (Stanford).
2021
11/07/21
- I presented at SkolaTalk with Aditya (Digital Skola CEO) about the comparison in tech education between Indonesia & US.
11/02/21
- We submitted the journal version of our Deep-PrAE work.
08/29/21
- Together with Sabrina, I shared some insights regarding How to be a Global Student and Student Life as an Exchange Student to ITS ISE Undergraduate Students.
05/27/21
- I presented Research Opportunities for ISE Graduate Students to ITS ISE Graduate Students.
05/21/21
- I started an internship at Bosch as a Machine Learning/Computer Vision Research Intern.
03/03/21
- I presented Deep-PrAE work at SIAM CSE 2021.
01/22/21
- One paper accepted to AISTATS 2021.
2020
11/09/20
- I presented a work on certifiable efficiency for rare-event probability estimation and its relaxation at INFORMS Annual Meeting 2020.