Sotabase

Career

· Executive Director For Stanford Center For AI Safety, Stanford University2025–
· Adjunct Professor, Universitas Logistik dan Bisnis Internasional (ULBI)2025–
· Researcher, Stanford University2024–
· Postdoctoral Scholar, Stanford University2023–2024
· Machine Learning Intern, Bosch2021–2021
· President, Indonesian Students at CMU2021–2021
· PHD Student, Carnegie Mellon University2018–2023
· Visiting Research Scholar, Carnegie Mellon University2018–2018
· Research Assistant, University of Michigan2017–2018
· Research Associate, Institut Teknologi Sepuluh Nopember Surabaya2015–2016
· Laboratory Assistant, Institut Teknologi Sepuluh Nopember Surabaya2012–2014

Publications (19)

A Survey on Safety-Critical Driving Scenario Generation—A Methodological Perspective
2022
235
cited
Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field
2019
47
cited
Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems
2021
37
cited
Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach
2018
28
cited
SAnE: Smart Annotation and Evaluation Tools for Point Cloud Data
2020
27
cited
An Accelerated Approach to Safely and Efficiently Test Pre-Production Autonomous Vehicles on Public Streets
2018
22
cited
Synthesis of Different Autonomous Vehicles Test Approaches
2018
17
cited
Certifiable Deep Importance Sampling for Rare-Event Simulation of Black-Box Systems
2021
15
cited
Evaluation Uncertainty in Data-Driven Self-Driving Testing
2019
15
cited
How to Evaluate Proving Grounds for Self-Driving? A Quantitative Approach
2019
12
cited
Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy
2020
11
cited
Density-Adaptive Sampling for Heterogeneous Point Cloud Object Segmentation in Autonomous Vehicle Applications
2019
10
cited
Certifiable Evaluation for Autonomous Vehicle Perception Systems using Deep Importance Sampling (Deep IS)
2022
5
cited
An "Xcity" Optimization Approach to Designing Proving Grounds for Connected and Autonomous Vehicles
2018
3
cited
Semantic Segmentation for Identifying Road Surface Damages Using Lightweight Encoder-Decoder Network
2022
2
cited
Test Against High-Dimensional Uncertainties: Accelerated Evaluation of Autonomous Vehicles with Deep Importance Sampling
2022
2
cited
Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation
2019
1
cited
How to Evaluate Self-Driving Testing Ground? A Quantitative Approach
2019
Labeling Roads with Different Types of Automated Driving Functional Requirements using Machine Learning
2020
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