Yanqi Su

Yanqi Su is a postdoctoral researcher at the TUM School of Computation, Information and Technology (CIT) at the Technical University of Munich, affiliated with the Chair of Software Engineering & AI. She will soon complete her Doctorate at The Australian National University under Prof. Zhenchang Xing, following academic training at Nanjing University of Aeronautics and Astronautics.

• Education: PhD (in progress, ANU), Master’s/Bachelor’s in Computer Science and Technology (Nanjing University of Aeronautics and Astronautics)

Research Focus:
Her work centers on enhancing exploratory testing through Knowledge Graphs and Large Language Models (LLMs), with notable contributions to test scenario generation, automated exploratory testing, and bug-component triaging. She has discovered ~300 bugs in applications like Firefox (desktop/Android), many resolved in collaboration with developers.

Publication Trends:
Her research spans LLM applications for GUI/code analysis, automated security testing, and AI ethics. Key subfields include model context protocols, vulnerability detection, code optimization, and human-AI collaboration in software development.

Scientific Recognition:
Recipient of the Distinguished Paper Award at ASE 2021, her work appears in top-tier venues (ICSE, ASE, TSE, TOSEM).