Sundong Kim


I am an assistant professor at GIST AI Graduate School. In these days, I am interested in understanding and building a human-like AI with abstraction and reasoning. [Project descriptions]

Before joining GIST, I worked as a Young Scientist Fellow at Data Science Group, Institute for Basic Science (IBS). I worked on representation learning, predictive analytics, and democratizing AI for social goods (e.g., World Customs Organization).

From 2015 to 2019, I was a Ph.D. student at Data Mining Lab, KAIST. My thesis was about predicting offline customer behavior. I received my undergraduate and master degree from Dept. of Industrial and Systems Engineering at KAIST. During my studies, I interned at Microsoft Research Asia and Deloitte Consulting. I also spent beautiful semesters at National University Singapore and TU-Berlin.

Due to funding and space constraints, I won't be taking in any students for Fall 2023.

Office: AI Graduate School (S7) Room 204 and 208, GIST
E-mail: sundong (at)
Call: (+82)-62-715-6387

[CV] [Google Scholar] [Services & Talks] [Student’s Awards]

[Schedule time with me]



Aug 22, 2023 In the fall of 2023, I will teach Machine learning and deep learning (EC4213/AI5213).
Aug 1, 2023 Happy ARC Day 🧩
Jul 14, 2023 Proud to share our Federated learning Trilogy 🛡️
Jun 27, 2023 Recognition for our customs dataset work! 📊🌐
Jun 21, 2023 We will present our preliminary work on ARC at ICML 2023 Workshop.
May 20, 2023 Three papers are accepted to KCC 2023. These are my first papers with GIST students.
Apr 26, 2023 Our paper on AI for Social Good is accepted to IJCAI 2023.
Feb 28, 2023 New course: Data Engineering (AI5308/AI4005) is launched for Spring 2023.
Feb 10, 2023 Invited to serve as a program committee of ICML 2023 and KDD 2023.
Jan 10, 2023 Our fair representation learning paper is accepted to The Web Conference 2023.