Donghwan Shin

Dr. Donghwan Shin is a Lecturer in Software Testing at the School of Computer Science, University of Sheffield since 2022. He holds a BSc (2006-2010), MSc (2010-2012), and PhD (2012-2018) from KAIST, South Korea. Prior to joining Sheffield, he was a Research Associate (2018-2020) and Research Scientist (2020-2022) at SnT, University of Luxembourg.

Education

• PhD in Computer Science - KAIST (2012-2018)
• MSc in Computer Science - KAIST (2010-2012)
• BSc in Information Technology - KAIST (2006-2010)

Research Interests

His research focuses on mutation testing, testing for ML-enabled cyber-physical systems (e.g., automated driving systems), and log analysis including model inference and anomaly detection. He develops novel testing methodologies for complex AI systems and reliability engineering solutions.

Publication Trends

Recent publications demonstrate a strong focus on testing machine learning systems, autonomous driving validation, log-based failure prediction, and novel testing methodologies. His work consistently appears in top venues including ICSE, ICST, and IEEE Transactions on Software Engineering.

Grants & Projects

• PI for UKRI grant: "SimpliFaiS: Simplification of Failure Scenarios for Machine Learning-enabled Autonomous Systems" (2024-2026, £464,344)

Professional Activities

Leads research in the Software Testing Lab and collaborates with industry partners on testing autonomous systems. Serves as School Student Experience Lead.