Donghwan Shin (신동환)

I am a lecturer (assistant professor in the American system) at the School of Computer Science, University of Sheffield, Sheffield, UK.

My research and teaching interests lie in mutation testing, testing for ML-enabled cyber-physical systems (e.g., ML-enabled automated driving systems), and log analysis (e.g., model inference and anomaly detection). I have published many research papers at venues such as ICSE, ICST, ISSTA, and MODELS and journals such as TSE, EMSE, and STVR. Please see my Google Scholar page for details.

I did my PhD under the supervision of Prof. Doo-Hwan Bae at Korea Advanced Institute of Science and Technology (KAIST), South Korea. I hold a B.C. and M.S. in Computer Science, both from KAIST. This was followed by four years as a research associate/scientist at the SVV (Software Verification and Validation) group, led by Prof. Lionel Briand, at the Interdisciplinary Centre for ICT Security, Reliability, and Trust (SnT) of the University of Luxembourg. 

My full CV is available here. 

Research Interests

Featured Publications

Recent News

17 August 2024

Our paper titled "Impact of log parsing on deep learning-based anomaly detection" has been accepted for publication in Empirical Software Engineering.

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