Hyuk-Yoon Kwon
Associate Professor, ITM Division, Dept. of Industrial Engineering / Graduate School of Data Science / Research Center for Electrical and Information Technology
Seoul National University of Science and Technology, 232 Gongneung-Ro, Nowon-Gu, Seoul, 01811, Republic of Korea
Office: 614 Frontier Hall, Seoul National University of Science and Technology
Lab: 712 Mugung Hall, Seoul National University of Science and Technology
Phone: +82-2-970-7280
E-mail: hyukyoon.kwon [at] seoultech [dot] ac [dot] kr
Hyuk-Yoon Kwon is an Associate Professor in the ITM Division, Department of Industrial Engineering and the Graduate School of Data Science at Seoul National University of Science and Technology (SeoulTech), where he has been since 2018. Prior to that, he was a researcher at the Ministry of National Defense (2014–2018) and a postdoctoral researcher at KAIST (2013–2014). He earned his Ph.D. in Computer Science from KAIST in 2013.
Dr. Kwon has held positions as a visiting scholar at the Georgia Institute of Technology (2024–2025) and as a research intern at Microsoft Research Asia (2011–2012). His research interests include data-driven AI, federated and distributed learning, databases, and fair data scraping and analysis.
He has authored over 40 papers in SCI(E)-indexed journals (including IEEE TKDE and IEEE TII) and 18 papers in international conferences (including SIGMOD, NeurIPS, ICDE, AAAI, ICDM, and BIGDATA). He currently serves as an editor for Scientific Reports starting in 2025. He has also served as a program committee member in conferences such as NeurIPS, KDD, WEB, AAAI, ICDE, and CIKM.
Associate Professor, Dept. of Industrial Engineering, Seoul National University of Science and Technology, 2022-Present
Adjunct Professor, Graduate School of Data Science, Seoul National University of Science and Technology, 2020-Present
Assistant Professor, Dept. of Industrial Engineering, Seoul National University of Science and Technology, 2018-2022
Visiting Scholar, Georgia Institute of Technology, 2024.2 ~ 2025.2
사외이사, 재단법인 미래기술연구소, 2020 - 2024
Researcher, Ministry of National Defense, 2014–2018
Postdoctoral Researcher, Advanced Information Technology Research Center, KAIST, 2013–2014
Research Intern, Web Search and Data Mining Group, Microsoft Research in Asia (Beijing) (Advisor: Dr. Haixun Wang), 2011–2012
Ph.D., Department of Computer Science, KAIST (Advisor: Kyu-Young Whang), 2013
Data-Driven AI
Time-Series Data Analysis
Distributed Computing
Distributed & Federated Learning
Large-Scale Data Ingestion and Pipelines
Databases
Multi-Modal Learning
Web Crawlers
Data Fairness
Editor, Scientific Reports, Nature, 2025 ~ Present.
편집위원, 한국정보과학회지, 2021년 1월 ~ 2022년 12월.
Guest editor, Special Issue "Machine Learning and Data Mining for Time Series and Model Adaptation," Mathematics, Dec. 2024 ~ Sept. 2025.
Guest editor, Special Issue "Big Data Management and Analysis with Distributed or Cloud Computing," Applied Sciences, Nov. 2020 ~ Oct. 2022.
Program chair, International Conference on Data Storage and Data Engineering (DSDE), 2024-2026
Publication chair, International Conference on Database Systems for Advanced Applications (DASFAA), 2026
Publication chair, IEEE International Conference on Big Data and Smart Computing (BigComp), 2020-2023, 2026
Local chair, Korean Database Conference (KDBC) 2020
Publication chair, Korean Database Conference (KDBC) 2019
Web chair, KJDB (Korea-Japan Database Workshop) 2018
The Fourteenth International Conference on Learning Representations (ICLR 2026)
The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026)
ACM International Conference on Information and Knowledge Management (CIKM 2025), Research Track
ACM Web Conference 2025, Research Track
IEEE International Conference on Data Engineering (IEEE ICDE 2024), Demo Track
ACM International Conference on Information and Knowledge Management (CIKM 2024), Resource Track
International Conference on Data Storage and Data Engineering (DSDE 2023)
IEEE International Conference on Big Data and Smart Computing (BigComp) 2021, 2022
International Conference on Web Services(ICWS): 2019, 2020, 2021, 2022
IEEE Transactions on Industrial Informatics, IEEE Transactions on Cloud Computing, VLDB Journal, Information Fusion, Artificial Intelligence Review, Scientific Report, The Journal of Supercomputing, IEEE Access, Plos One, Data Technologies and Applications, Journal of Integrative Neuroscience, Journal of KIISE Database Society of Korea: Database Research