Scholar
Jae-Gil Lee
Google Scholar ID: h9mbv9MAAAAJ
Professor, School of Computing, KAIST
Citations & Impact
Citations
6,558
H-index
30
i10-index
64
Publications
20
Co-authors
8
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- - Minister Award Certificate, Ministry of Science, ICT and Future Planning, Korea Government, Apr. 2017
- - Best Paper Award, 7th Int'l Conf. on Weblogs and Social Media (ICWSM), AAAI, July 2013
- - Best Demonstration Award, 21st Int'l Conf. on Data Engineering (ICDE), IEEE, Apr. 2005
- - Best Paper Award, 1st Int'l Conf. on Big Data and Smart Computing (BigComp), KIISE, Jan. 2014
- - College of Engineering Technology Innovation Award, KAIST, Dec. 2018
- - zEnterprise System Recognition Award, IBM Software Group, Nov. 2010
Research Experience
- - Full Professor: School of Computing, KAIST (2022.9 ~ present)
- - Associate Professor: School of Computing, KAIST (2020.10 ~ 2022.8) / Graduate School of Knowledge Service Engineering, KAIST (2014.3 ~ 2020.9)
- - Assistant Professor: Department of Knowledge Service Engineering, KAIST (2010.12 ~ 2014.2)
- - Postdoctoral Researcher: IBM Almaden Research Center (2008.9 ~ 2010.11)
- - Postdoc Research Associate: Department of Computer Science, University of Illinois at Urbana-Champaign (2006.7 ~ 2008.8)
Education
- - Ph.D. degree from KAIST in 2005, supervised by Prof. Kyu-Young Whang
- - Postdoctoral Fellow at the Department of Computer Science, KAIST (2005.3 - 2006.6)
Background
- - Research Interests: Data-centric AI, Deep learning-based big data analysis, Mobility and stream data mining, Large-scale distributed deep learning
- - Brief Bio: A Professor at the School of Computing, Korea Advanced Institute of Science and Technology (KAIST), leading the Data Mining Lab. Former Postdoctoral Researcher at IBM Almaden Research Center and Postdoc Research Associate at the Department of Computer Science, University of Illinois at Urbana-Champaign.
Miscellany
- - Professional Activities: Served as editor or committee member for multiple international conferences and journals, such as Associate Editor for IEEE Transactions on Knowledge and Data Engineering (TKDE), Steering Committee Member for PAKDD, etc.
- - Media Appearances: Predicting inbound COVID-19 cases using AI technologies, among others.
