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

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 Computing Congress (2017)

• General Electric Above and Beyond (2013)

• Einstein Fellowship by Korea Hydro and Nuclear Power (2012)

Talks

• 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