Steven Euijong Whang

Photo by Hector Garcia-Molina

Biography

Steven Euijong Whang is a Kwon Oh-Hyun Associate Professor at the School of Electrical Engineering (Computer division) and Graduate School of AI at KAIST. His research interests are Big Data - AI Integration and Responsible AI. Previously he was a Research Scientist at Google Research from Dec. 2012 to Jan. 2018 and co-developed the data infrastructure of the TensorFlow Extended (TFX) machine learning platform. Steven received his Ph.D. in computer science in 2012 from Stanford University and his B.S. in computer science from KAIST in 2003. He received the Google AI Focused Research Award (2018), the first in Asia.

Curriculum Vitae (updated Sept. 2020)

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

  • Kwon Oh-Hyun Associate Professor, Electrical Engineering, KAIST, Sept. 2020-Present

  • Kwon Oh-Hyun Assistant Professor, Electrical Engineering, KAIST, Mar. 2020-Aug. 2020

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

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

  • Google AI Focused Research Award (first in Asia), Sept. 2018-Aug. 2020

  • KAIST EE Best Paper Award (Top-3 citations contributor to univ. ranking within KAIST EE), July 2019

  • 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

Professional Service

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

  • General Co-Chair: Workshop on Data Management for End-to-End Machine Learning (DEEM@ACM SIGMOD) (2021, 2020)

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

  • Program Vice Chair: KCC 2020

  • Publication Co-Chair: DASFAA 2020

  • Panel Co-Chair: IEEE BigComp (2021, 2020)

  • Publicity Co-Chair: PAKDD 2017

  • PC Member: ACM SIGMOD (2020, 2018, 2015, 2014, 2013), VLDB (2021, 2018, 2016, 2015), IEEE ICDE (2021, 2017, 2015, 2014), TheWebConf (2021, 2020, 2019), IJCAI (2021), EDBT (2016)

  • Associate Editor: Distributed and Parallel Databases (DAPD) Journal (2020-2026)

  • Journal Reviewer: VLDB Journal, IEEE TKDE, ACM TODS

Google-KAIST Partnership signing ceremony, July 2019

Fun Fact

I am an alum of KAIST swimming team KAORI

I did opening speeches (in Korean) for the 2018 and 2019 KAIST KAORI swimming competitions and also participated in the 2018 competition to win 3rd prize in the Freestyle relay with students.