I am an assistant professor in the Department of Artificial Intelligence at Korea University, leading the Trustworthy AI Lab @ KU. Previously, I obtained a Ph.D. in Electrical Engineering from KAIST in 2023, where I was fortunate to work with Prof. Jinwoo Shin. I received my B.S. in Mathematics and Computer Science from KAIST in 2017. During my Ph.D. studies, I interned at Amazon Web Services (AWS) in 2021 (Seattle, WA) and 2022 (Bellevue, WA). I am a recipient of the Best Doctoral Dissertation Award from the KAIST College of Engineering in 2024, and the Qualcomm Innovation Fellowship Korea 2020 from two papers.
I am interested in broad areas of AI Safety: robustness against distribution shifts such as adversarial examples and long-tailed (rare) events; monitoring of novel or anomalous inputs; and alignment of model decisions with human values, to name a few. Ultimately, my research aims to discover (if exist) simple priors that close the gap between humans and machines, understanding why neural networks behave so differently from us and how we make such reliable yet efficient inferences.
Email: jonghj (at) korea dot ac dot kr
Open positions: I am looking for self-motivated, curiosity-driven graduate students and undergraduate interns to join our lab. Please reach out to me via email with your CV and transcript if you are interested.