Jinhan Kim

Postdoctoral Researcher at USI Università della Svizzera italiana

Lugano, Ticino, Switzerland
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Summary

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Senior
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Top School
Jinhan Kim is a postdoctoral researcher at TAU Lab, USI Lugano, with a decade of experience in software engineering research focused on mutation testing, fault localization, and testing of deep learning systems. He earned his Ph.D. at KAIST under Prof. Shin Yoo and has held visiting and postdoc roles bridging South Korea and Switzerland, including work funded by European Horizon and NRF Korea fellowships. Jinhan combines rigorous empirical methods with practical tooling development to advance software and AI robustness, often targeting evaluative gaps in automated testing. His projects reflect interdisciplinary collaboration and an eye for reproducible research, informed by international exchange programs and academia-industry funding. Based in Lugano, he brings both theoretical depth and hands-on experimental expertise to security- and reliability-centered research initiatives.
code10 years of coding experience
bookBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Korea Advanced Institute of Science and Technology
languagesEnglish, Korean
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Github Skills (7)

testing9
deep-learning6
python6
moshi4
neural-network3
ensemble-learning3
webkit2

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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dbr7/mycv

Feb 2022 - Apr 2026

Contributions:182 pushes, 3 branches in 4 years 2 months
coinse/sadl

Dec 2018 - Apr 2021

Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"
Contributions:1 release, 16 commits, 15 pushes in 2 years 4 months
deep-learningtestingsurprise-adequacy
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