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]
News & updates:

2024

10/01/24

  • Officially starting my Research Engineer appointment at SISL and Mineral-X.

09/05/2024

08/17/2024

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

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

07/20/24

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

05/22/24

05/15/24

  • Two papers submitted to RA-L.

05/10/24

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

02/03/24

01/31/24

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

01/04/24

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

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

03/02/22

  • We submitted a survey paper on safety-critical driving scenario generation for journal publication.

03/01/22

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

01/22/21

2020

2023

12/21/23

11/08/23

10/12/23

10/01/23

09/30/23

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

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

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

03/15/22

03/02/22

  • We submitted a survey paper on safety-critical driving scenario generation for journal publication.

03/01/22

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

11/02/21

08/29/21

05/27/21

05/21/21

  • I started an internship at Bosch as a Machine Learning/Computer Vision Research Intern.

03/03/21

01/22/21

2020

11/09/20

  • I presented a work on certifiable efficiency for rare-event probability estimation and its relaxation at INFORMS Annual Meeting 2020.
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