Professor
Biography
I am an assistant professor at the School of Electrical Engineering (Computer division) at KAIST (Korea Advanced Institute of Science and Technology). My research interests include Database-Artificial Intelligence (DB-AI) Integration, Big Data Analytics, and Big Data Systems. Prior to KAIST, I was a Research Scientist at Google Research working on data infrastructure for TensorFlow Extended (Google's large-scale machine learning platform). Before Google, I was a Ph.D. student and Postdoctoral Researcher at the Computer Science Department of Stanford University. I was a member of the Stanford InfoLab working with Professor Hector Garcia-Molina. Here is my CV (updated May 2019).
Contact Information
- Email: swhang {at} kaist {dot} ac {dot} kr
- Phone: +82-42-350-7443
- Office: N1-516
- Lab: N1-519
Education
- PhD in Computer Science, Stanford University, 2012 (advisor: Hector Garcia-Molina)
- MS in Computer Science, Stanford University, 2007 (advisor: Jennifer Widom)
- BS in Computer Science, KAIST, 2003
Work Experience
- Research Scientist, Google Research (2012/12 - 2018/1)
- Postdoctoral Researcher, Stanford University (2012/7 - 2012/12)
Honors
- IEEE Senior Member (2019)
- Google AI Focused Research Award (PI, first in Asia, 2018-2019)
- Best Paper Award, WebDB Workshop (2015/5)
- IBM PhD Fellowship (2011-2012)
- School of Engineering Fellowship, Stanford University (2007-2008)
- Korea Foundation for Advanced Studies (KFAS) Fellowship (2005-2007)
- KAIST President's Prize for ranking 1st in Computer Science Department (2003/2)
Professional Service
- Vice Chair: IEEE ICDE 2020
- Program Committee Member: ACM SIGMOD (2020, 2018, 2015, 2014, 2013), WWW (2019), PVLDB (2018, 2016, 2015), IEEE ICDE (2017, 2015, 2014), EDBT (2016)
- Journal Reviewer: VLDB Journal, IEEE TKDE, ACM TODS
Fun Fact
I am an alum of KAIST swimming team KAORI
I made the opening speech (in Korean) for 2018 KAIST KAORI swimming competition and also competed to win 3rd prize in the Freestyle relay with my students.
