Scholar
Jinhan Kim
Google Scholar ID: XL_ZwBAAAAAJ
Università della Svizzera italiana (USI)
Citations & Impact
Citations
826
H-index
10
i10-index
10
Publications
20
Co-authors
10
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Papers accepted for publication in ICSE 2026, TOSEM 2025, Empirical Software Engineering, etc.; won the best paper award at Mutation 2023; served on program committees for ASE 2025, ISSTA 2025, among others.
Research Experience
- Serves as a postdoctoral researcher at the Software Institute, Università della Svizzera italiana; organizes several international conferences and workshops including ICSE, SBFT, DeepTest, etc.; publishes papers in top-tier journals and conferences.
Education
- He completed his Ph.D. degree from KAIST under the supervision of Prof. Shin Yoo; currently, he is a postdoctoral researcher at TAU lab in Università della Svizzera italiana (USI), led by Prof. Paolo Tonella.
Background
- His research bridges software engineering and artificial intelligence, focusing on testing, reliability, and assurance of learning-enabled systems. He develops principled methods to assess and improve the robustness, interpretability, and trustworthiness of modern AI systems, from traditional softwares to LLMs, aiming to make them reliable and transparent for deployment in safety-critical domains.
Miscellany
- Personal interests not mentioned
