Yong-Jun Shin

Yong-Jun Shin

Senior researcher, Lecturer at AI academy @ ETRI | PhD @ KAIST

I am a software engineering researcher continually exploring how software engineering can make Physical AI more trustworthy.

Highlights of my professional and academic experience include:

My research interests center on Software Engineering for Trustworthy Physical AI, with a particular focus on verification and validation, including:

Highlighted Publications

All publications →

Runtime Verification of Cause–Effect Latency in Black-Box Systems

Yong-Jun Shin

Information and Software Technology · 2026

A Platform-Independent Software-Intensive Workflow Modeling Language And An Open-Source Visual Programming Tool

Yong-Jun Shin , Wilfrid Utz

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing (SAC) · 2025

Virtual Environment Model Generation for CPS Goal Verification using Imitation Learning

Yong-Jun Shin , Donghwan Shin , Doo-Hwan Bae

ACM Trans. Embed. Comput. Syst. (TECS) · 2024

Concepts and models of environment of self-adaptive systems: A systematic literature review

Yong-Jun Shin , Joon-Young Bae , Doo-Hwan Bae

2021 28th Asia-Pacific Software Engineering Conference (APSEC) · 2021

Platooning legos: An open physical exemplar for engineering self-adaptive cyber-physical systems-of-systems

Yong-Jun Shin , Lingjun Liu , Sangwon Hyun , Doo-Hwan Bae

2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) · 2021

PASTA: An efficient proactive adaptation approach based on statistical model checking for self-adaptive systems

Yong-Jun Shin , Eunho Cho , Doo-Hwan Bae

International Conference on Fundamental Approaches to Software Engineering (FASE) · 2021