Yong-Jun Shin

PhD in software engineering from KAIST. Researcher, ETRI.

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I’m a researcher of Electronics and Telecommunications Research Institute (ETRI), a national research institute in South Korea.

I received my Ph.D. in software engineering at Korea Advanced Institute of Science and Technology (KAIST) under the guidance of Professor Doo-Hwan Bae in 2023.

My Ph.D. research focused on data-driven model generation for efficient verification of cyber-physical system (CPS) software (e.g., autonomous driving).

My research interests includes

  • model-based software engineering,
  • CPS software (e.g., autonomous driving, ROS 2 robotics) verification & validation,
  • statistical model checking,
  • self-adaptive systems and environment modeling,
  • CI/CD on edge computing

News

Nov 22, 2024 🎉 My paper has been accepted as a full paper in the Programming Language track at ACM SAC 2025. See you in Italy in April 2025.
Oct 08, 2024 🎤 I was invited to Hannam University and gave a seminar titled “Model-Based Software Engineering Approaches for the Verification of Autonomous Mobility.”
Feb 14, 2024 👋 My new homepage is open!

Latest posts

Highlighted publications

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    Virtual Environment Model Generation for CPS Goal Verification using Imitation Learning
    Yong-Jun Shin ,  Donghwan Shin ,  and  Doo-Hwan Bae
    ACM Trans. Embed. Comput. Syst., Jan 2024
  2. c_16.jpg
    Concepts and models of environment of self-adaptive systems: A systematic literature review
    Yong-Jun Shin ,  Joon-Young Bae ,  and  Doo-Hwan Bae
    In 2021 28th Asia-Pacific Software Engineering Conference (APSEC) , Jan 2021
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    Platooning legos: An open physical exemplar for engineering self-adaptive cyber-physical systems-of-systems
    Yong-Jun Shin ,  Lingjun Liu ,  Sangwon Hyun ,  and  Doo-Hwan Bae
    In 2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) , Jan 2021
  4. c_12.jpg
    PASTA: An efficient proactive adaptation approach based on statistical model checking for self-adaptive systems
    Yong-Jun Shin ,  Eunho Cho ,  and  Doo-Hwan Bae
    In International Conference on Fundamental Approaches to Software Engineering , Jan 2021