Jungeun Kim (김정은)
Associate Professor
Data Intelligence & Applications Lab
Dept. of Computer Science and Engineering / Dept. of Electrical and Computer Engineering /
Manufacturing Innovation School (Head of the Major in Intelligent Semiconductor Process Convergence)
E-mail: jekim(at)inha(dot)ac(dot)kr / Office: #1411, Hi-Tech Center (하이테크센터 1411호)
BRIEF BIO
I am an Associate Professor at Department of Computer Science and Engineering, Inha University and leading Data Intelligence & Applications Lab. Before joining Inha University, I was an Associate Professor at Department of Software, Kongju National University (KNU) and a Senior Researcher at Artificial Intelligence Research Laboratory, Electronics and Telecommunications Research Institute (ETRI). I earned the Ph.D. degree under the supervision of Prof. Jae-Gil Lee from Korea Advanced Institute of Science and Technology (KAIST) in 2017. My current research focuses on data-centric AI, stream data mining, and graph mining.
RESEARCH INTERESTS
Data-Centric AI
Graph Mining
Stream Data Mining
PROFESSIONAL EXPERIENCE
Associate Professor, Department of Computer Science and Engineering, Inha University, 2024 ~ present
Assistant / Associate Professor, Department of Software, KNU, 2020 ~ 2024
Senior Researcher, Artificial Intelligence Research Laboratory, ETRI, 2019 ~ 2020
Postdoctoral Researcher, Industrial Management Research Institute, KAIST, 2017 ~ 2018
EDUCATION
Ph.D. in Data Science*, KAIST (Advisor: Prof. Jae-Gil Lee), 2017
M.S. in Data Science*, KAIST (Advisor: Prof. Jae-Gil Lee), 2013
B.S. in Information and Communication Engineering, Inha University, 2011
* Formerly, Knowledge Service Engineering
MAJOR PROJECTS
PROFESSIONAL ACTIVITIES
Area Chair
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2026
Program Committee
ACM Web Conference (WWW) 2022 ~ 2026, ACM International Conference on Web Search and Data Mining (WSDM) 2023 ~ 2025, ACM SIGIR Conference on Research and Development in Information Retrieval 2026, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2018 ~ 2026, International Conference on Database Systems for Advanced Application (DASFAA) 2026, IEEE International Conference on Big Data and Smart Computing (BigComp) 2024 ~ 2026, Asian Conference on Machine Learning (ACML) 2025, etc.
Journal Reviewer
IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Journal of Biomedical and Health Informatics (JBHI), IEEE Transactions on Intelligent Transportation Systems (TITS), IEEE Transactions on Evolutionary Computation (TEVC), IEEE Transactions on Computational Social Systems (TCSS), Data & Knowledge Engineering (DKE), Knowledge and Information Systems (KAIS), Engineering Applications of Artificial Intelligence (EAAI), etc.
Board Member
KIISE Data Society of Korea, 2021~present.
Member
IEEE, ACM, KIISE, etc.
AWARDS AND HONORS
I-RISE Global Top 10 Research Award, Incheon Regional Innovation System & Education (I-RISE), 2025
Outstanding Paper Award, Korean Software Congress, 2025
Outstanding Paper Award, Korean Geotechical Society Conference, 2025
Outstanding Researcher, KNU, 2021, 2022
Outstanding Lecturer, KNU, 2020
Outstanding Paper Award, Conference on Korea Knowledge Information Technology and Systems, 2020
Best Presentation Award, Bi-Annual KSE Student Colloquium, KAIST, 2017
National Scholarship for Graduate Studies, Republic of Korea, 2011 ~ 2017
TEACHING EXPERIENCE
REFERENCES
Available upon request.
Last updated: Jan. 29, 2026