Susik Yoon
Short Bio
Susik Yoon is an assistant professor in the computer science department at Korea University, with prior experience as a postdoctoral researcher at the University of Illinois at Urbana-Champaign (UIUC) and an assistant research professor at the Korea Advanced Institute of Science and Technology (KAIST). He obtained his Ph.D., M.S., and B.S. at KAIST. He leads the Data & Adaptive Intelligence Systems (DAIS) lab at Korea University. The research interests of DAIS encompass a wide range of topics in data science and artificial intelligence, particularly focusing on continuous learning from unstructured, evolving data with human knowledge and AI foundation models to realize adaptive intelligence systems.
Experiences
2024.03- Current | Assistant professor, Computer Science, Korea University
2021.09 - 2024.02 | Postdoctoral researcher, Computer Science, UIUC | Advisor: Prof. Jiawei Han
2021.03 - 2021.08 | Research assistant professor, Institute for Security Convergence Research, KAIST
2015.03 - 2021.02 | Graduate researcher, Data Mining Lab, KAIST | Advisor: Prof. Jae-Gil Lee
2014.06 - 2014.08 | Intern, i2, Danish E-infrastructure Cooperation
2013.09 - 2013.12 | Intern, Infrastructure and Shared Services, General Electric
2010.06 - 2012.04 | Obligatory military service, Republic of Korea Army
Education
2017 - 2021 | PhD, KAIST | Graduate School of Data Science*
2015 - 2017 | MS, KAIST | Graduate School of Data Science*
2008 - 2015 | BS, KAIST | Industrial and Systems Engineering / Business and Technology Management (double major)
(*formerly, Knowledge Service Engineering)
Services
Program Committee
The ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD): 2021 (ODD), 2022, 2023, 2024
The ACM Web Conference (WWW): 2024
The ACM International Conference on Research and Development in Information Retrieval (SIGIR): 2023 (sub)
The AAAI Conference on Artificial Intelligence (AAAI): 2022, 2023, 2024
The Annual Meeting of the Association for Computational Linguistics (ACL): 2023, 2024
The Conference on Empirical Methods in Natural Language Processing (EMNLP): 2022, 2023, 2024
Journal Reviewer
The VLDB Journal (VLDBJ)
IEEE Transactions on Knowledge and Data Engineering (TKDE)
Knowledge-based Systems (KBS)
Data & Knowledge Engineering (DKE)
Awards
UIUC Data Mining Research Excellence Award, 2023
Overseas Postdoc Fellowship by National Research Foundation of Korea, 2021-2024
Best Paper at KAIST-Samsung Electronics Research Collaboration, 2020
Best Presentation at KAIST Graduate School of Knowledge Service Engineering Colloquium, 2021, 2019
Best Paper at Korea Computer Congress, 2017
General Electric Above and Beyond, 2013
Einstein Fellowship by Korea Hydro and Nuclear Power, 2012
Talks
Invited Seminar, Korea Computer Congress, June 2024
Invited Seminar, CHA Medical School, June 2024
Special Seminar, Electronic & Information Research Information Center (EIRIC), September 2023 [Link]
CS/AI Seminar, Ulsan National Institute of Science and Technology (UNIST), March 2023
AI Colloquium, Gwangju Institute of Science and Technology (GIST), March 2023
Hyundai Vision Conference, Hyundai Motor Group, August 2022
Postdoc Seminar, Department of Computer Science, University of Illinois at Urbana-Champaign (UIUC), February 2022
Data Science Group, Institute for Basic Science (IBS), March 2021
The Biannual KSE Student Colloquium, Korea Advanced Institute of Science & Technology (KAIST), January 2021
Invited Paper Presentation, Korea Software Congress (KSC), December 2020
TechTalk, NAVER, December 2020
The Biannual KSE Student Colloquium, Korea Advanced Institute of Science & Technology (KAIST), December 2019
Invited Paper Presentation, Korea Software Congress (KSC), December 2019