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Jae-Gil Lee

Professor
School of Computing / Kim Jaechul Graduate School of AI (adjunct) /
Graduate School of Data Science (adjunct)
Korea Advanced Institute of Science and Technology (KAIST)
Tel: +82-42-350-3545
Fax: +82-42-350-1610

E-mail: jaegil[at]kaist[dot]ac[dot]kr

Brief Bio

I am a Professor at School of Computing, Korea Advanced Institute of Science and Technology (KAIST) and am leading Data Mining Lab. Before that, I was a Postdoctoral Researcher at IBM Almaden Research Center and a Postdoc Research Associate at Department of Computer Science, University of Illinois at Urbana-Champaign. At IBM, I was one of the key contributors to IBM Smart Analytics Optimizer. At University of Illinois, I worked on spatio-temporal data mining with Prof. Jiawei Han. I earned the Ph.D degree under the supervision of Prof. Kyu-Young Whang from KAIST in 2005. My research interests encompass data-centric AI, deep learning-based big data analysis, mobility and stream data mining, and distributed deep learning. Our lab has been selected as a SW Star Lab by the Ministry of Science and ICT in 2020.

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Professional 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)

Postdoctoral Fellow

Department of Computer Science, KAIST (2005. 3 ~ 2006. 6)

Research Interests

Data-Centric AI

Deep Learning-Based Big Data Analysis

Mobility and Stream Data Mining

Large-Scale Distributed Deep Learning

Awards

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

Media Appearances

Prediction of Inbound COVID-19 Cases by AI Technologies

KBSYTNYTN ScienceDaejon MBCTJBTV Chosun, Aug. 19, 2020

KBS1, Dec. 26, 2017

9 daily newspapers, July 31, 2013

Professional Activities

IEEE Transactions on Knowledge and Data Engineering (TKDE), May 2019 ~ present

Associate Editor

Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD)

Steering Committee Member

IEEE BigComp 2023

Organizing Chair

PAKDD 2017

Program Chair

ACM KDD 2023, IEEE ICDM 2019

Area Chair

IEEE BigComp 2020, DASFAA 2012, ACM CIKM 2009

Publicity Chair

AAAI 2022 ~ 2023, ACM KDD 2021 ~ 2022, PAKDD 2018 ~ 2023

Senior Program Committee Member

NeurIPS, ACM KDD, AAAI, IEEE ICDM, IEEE ICDE, WWW, VLDB, ACM SIGMOD, ACM CIKM, etc.

Program Committee Member

Data and Knowledge Engineering (DKE), Apr. 2018 ~ present

Associate Editor

Links to Lab Homepage

Publications

Projects

Lectures

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