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) gist.ac.kr
Call: (+82)-62-715-6387
[CV] [Google Scholar] [Services & Talks] [Student’s Awards]
News
Aug 22, 2023 | In the fall of 2023, I will teach Machine learning and deep learning (EC4213/AI5213). |
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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. |