Steven Euijong Whang

Contact Information

• Email: swhang {at} kaist {dot} ac {dot} kr

• Phone: +82-42-350-7443

• Office: N1-516

• Lab: N1-519

Education

• Postdoctoral Associate, Computer Science, Stanford University, Stanford CA, July 2012-Dec. 2012

• Ph.D., Computer Science, Stanford University, Stanford CA, Sept. 2007-June 2012 (advisor: Prof. Hector Garcia-Molina)

• M.S., Computer Science, Stanford University, Stanford CA, Sept. 2005-June 2007 (advisor: Prof. Jennifer Widom)

• B.S., Computer Science, KAIST, Mar. 1999-Feb. 2003

Experience

• Visiting Associate Professor, Computer Science, Stanford University, July 2025- June 2026 (host: Prof. Christopher Ré)

• Tenured Associate Professor, Electrical Engineering, KAIST, Mar. 2024-Present

• Adjunct Professor, Dept. of Semiconductor System Engineering, KAIST, Mar. 2023-Present

• Associate Professor, Electrical Engineering, KAIST, Sept. 2020-Feb. 2024

• Kwon Oh-Hyun Endowed Chair Professor, KAIST, Mar. 2020-Feb. 2023

• Adjunct Professor, Graduate School of AI, KAIST, Nov. 2019-Present

• Assistant Professor, Electrical Engineering, KAIST, Feb. 2018-Aug. 2020

• Research Scientist, Google Research, Mountain View, CA, Dec. 2012-Jan. 2018

• Research Intern, Yahoo! Research, Santa Clara, CA, June 2008-Dec. 2008

• Research Intern, HP Labs, Palo Alto, CA, Summer 2007

Honors

• KAIST College of Engineering Impact Research Award, Dec. 2025
  High FWCI (Field-Weighted Citation Impact) score (3.94) compared to KAIST faculty

• Y-KAST (Young Korean Academy of Science and Technology) member, Dec. 2024
  KAST is South Korea's highest academy of science
  Among 20 in all areas, 8 in Engineering

• Google Research Award, June 2022, Oct. 2023, and Oct. 2024
  2024 Proposal: Fair Class-Incremental Learning using Sample Weighting
  2023 Proposal: Fair Active Learning using Multi-armed Bandits
  2022 Proposal: Fairness under Correlation Shifts

• KAIST EE Best Teaching Award, Oct. 2022
  EE477 Database and Big Data Systems, Spring 2022
  Number of students: 64, course rating: 4.84/5 (highest among all EE undergrad courses)
  Supported by a Google Cloud Platform (GCP) Education Grant

• Kwon Oh-Hyun Endowed Chair Professor, Mar. 2020-Feb. 2023
  Among 4 in KAIST, 1 in KAIST EE

• Google AI Focused Research Award, Oct. 2018-Sept. 2021
  First in Asia

• KAIST EE Best Paper Award, July 2019
  Top-3 citations contributor to university ranking within KAIST EE

• IEEE Senior Member, Apr. 2019

• Best Paper Award, WebDB Workshop, May 2015

• IBM PhD Fellowship, Mar. 2011-Feb. 2012

• School of Engineering Fellowship, Stanford University, Sept. 2007-June 2008

• Korea Foundation for Advanced Studies (KFAS) Fellowship, Sept. 2005-June 2007

• KAIST President's Prize for Academic Excellence at Commencement, Feb. 2003
  Ranked 1st in Computer Science Department

Professional Service

• Partnership/Center Chair Positions

  • Chair: Trustworthy and Responsible AI theme, Global AI Frontier Lab Workshop (2025)

  • Chair: Inclusive AI Center, NYU-KAIST Partnership (2023-Present)

  • Chair: Google-KAIST Partnership (2019-2021)

• Conference/Workshop Chair Positions

  • General Chair

    • VLDB 2026: 15th International Workshop on Quality in Databases (QDB)

    • ACM SIGMOD (2020-2021): 4th & 5th Workshop on Data Management for End-to-End Machine Learning (DEEM)
      Max. number of attendees in 2020: 123

  • Panel Chair

    • VLDB 2026 (Top Database conference)

    • IEEE BigComp (2020-2022)

  • Tutorial Chair: VLDB 2023 (Top Database conference)

  • Workshop Chair: IEEE ICDE 2024 (Top-3 Database conference)

  • Program Chair

    • IEEE BigComp 2025

    • KJDB Workshop 2024

    • IEEE ICDM 2023: Workshop on Data-centric AI (DCAI)

  • Program Vice Chair: IEEE ICDE 2020 (Top-3 Database conference)

  • Volunteers Chair: ACM FAccT 2022 (Top AI Ethics conference)

  • Program Vice Chair: KCC 2020

  • Demonstrations Chair: AIMLSystems 2021

  • Publication Chair: DASFAA 2020

  • Publicity Chair: PAKDD 2017

• Awards Committee Member

  • ACM SIGMOD Jim Gray Doctoral Dissertation Award Committee (2026)

• Associate Editor

  • IEEE Transactions on Knowledge and Data Engineering (TKDE) (SCI; Top DB / Data Mining journal; 2023–2027)

  • Distributed and Parallel Databases (DAPD) Journal (SCI; 2020-2026)

  • IEEE Data Engineering Bulletin (2025, 2024), edited the following issues:

    • Mar. 2025: Special Issue on Large Language Models and Data Systems

    • Mar. 2024: Special Issue on Data-centric Responsible AI

  • VLDB (2025–2027) (The proceedings of the VLDB Endowment (PVLDB) Volumes 18–20; Top DB conference)

  • ACM SIGMOD 2027 (Top DB conference)

• Area Chair / Senior Program Committee Member

  • NeurIPS 2026 (Top ML conference)

  • ICLR (2026, 2025) (Top ML conference)

  • ICML 2026 (Top ML conference)

  • AAAI (2024, 2023) (Top AI conference)

  • ACM FAccT 2026 (Top AI Ethics conference)

  • IEEE ICDE (2026–2027, 2020) (Top-3 DB conference)

  • DASFAA (2024–2026) (DB conference)

• PC Member (Data Management):

  • ACM SIGMOD (2022-2025, 2020, 2018, 2013-2015) (Top Database conference)

  • VLDB (2021-2024, 2018, 2016, 2015) (Top Database conference)
    Distinguished Reviewer for VLDB 2023

  • IEEE ICDE (2022, 2021, 2017, 2015, 2014) (Top-3 Database conference)

  • TheWebConf (2019-2022) (Top Web conference)

  • EDBT (2022, 2016)

• PC Member / Reviewer (Machine Learning / AI)

  • ICML (2024, 2022) (Top Machine Learning conference)
    Outstanding Reviewer for ICML 2022 (within top 10%)

  • NeurIPS (2025, 2021-2023) (Top Machine Learning conference)

  • ICLR (2022-2024) (Top Machine Learning conference)

  • ACL (2025-2026) (Top NLP conference)

  • IJCAI (Program Committee Board 2022-2024, 2021) (Top AI conference)

  • ACM FAccT 2024 (Top AI Ethics conference)

• Journal Reviewer: VLDB Journal, IEEE TKDE, ACM TODS, ACM Computing Surveys, IEEE TOIT, Science Advances, IEEE VIS