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
|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.|