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

• 📒 21 March 2025: New paper accepted at EASE 2025 - Education Track: "Using Causal Inference to Test Systems with Hidden and Interacting Variables: An Evaluative Case Study"

• 🔍 15 January 2025: Happy to join as a member of the EPSRC Peer Review College.

• 🔍 13 December 2024: Happy to join as a PC member of Mutation 2025.

• 📒 9 December 2024: New paper accepted at ICST 2025 - Education Track: "Can Test Generation and Program Repair Inform Automated Assessment of Programming Projects?".

• 📢 6 December 2024: I did an invited seminar at the School of Computer Science, KAIST, South Korea. 

• 📒 2 December 2024: New paper accepted at FTW 2025: "Empirically Evaluating Flaky Tests for Autonomous Driving Systems in Simulated Environments".

(... more news)