Dong-Wan Choi, Ph.D.

Assistant Professor
Department of Computer Engineering
Inha University
Incheon, Korea

[Google Scholar]  [DBLP]
[Office] Room 1413, Hi-Tech Center
[Tell] +82 32 860 7444
[E-mail] dchoi (at)

[Open Positions for undergraduate/Master/PhD students] If you would like to work with me on cutting-edge research in the field of Big Data, please email me your CV, hopefully with a copy of transcript and a short statement of your research interests.


Dong-Wan Choi is an Assistant Professor in the Department of Computer Engineering at Inha University.

Prior to joining Inha University, he spent a Fall semester as an Assistant Professor in the School of Software at Kookmin University. He also worked as a research associate with Dr. Thomas Heinis  in the Department of Computing at Imperial College London in 2016-2017, and with Dr. Jian Pei in the School of Computing Science at Simon Fraser University in 2015-2016. In 2014, he obtained his Ph.D. in Computer Science under the supervision of Dr. Chin-Wan Chung from Korea Advanced Institute of Science and Technology (KAIST). The title of dissertation is: "Efficient and Scalable Query Processing Methods for Finding the Optimal Spatial Location," which was honored with the annual Outstanding PhD Thesis award from the CS department in KAIST. He received M.S. degree from KAIST in 2010, and B.S. degree from Inha University in 2008.

Career and Education

  • (Mar. 2018 - Present) Assistant Professor, Department of Computer Engineering, Inha University, Korea
  • (Sep. 2017 - Feb. 2018) Assistant Professor, School of Software, Kookmin University, Korea
  • (Nov. 2016 - Aug. 2017) Research Associate, Department of Computing, Imperial College London, UK
  • (Jan. 2015 - Oct. 2016) Postdoctoral Fellow, School of Computing Science, Simon Fraser University, British Columbia, Canada
  • (Mar. 2014 - Dec. 2014) Postdoctoral Researcher, Department of Computer Science, KAIST, Korea
  • (Feb. 2014) Ph.D., Department of Computer Science, KAIST, Korea
  • (Feb. 2010) M.S., Department of Computer Science, KAIST, Korea
  • (Feb. 2008) B.S., Department of Computer Engineering, Inha University, Korea

Research Interests

Dong-Wan's research interests cover the areas of data mining, databases, big data analytics, and computational geometry. Main theme of his research is to develop novel algorithmic tools for mining a massive volume of data that cannot be analysed by classic algorithms and conventional computing platforms. Currently, he is working on semantic trajectory mining and massive mobility data analysis. For the research, he always pursue his work to be theoretically rigorous as well as practically efficient.

All his works (see publications) can fall into one (or more) of the following topics:
  • Spatial/spatio-temporal data management/analytics
  • Trajectory data mining
  • Distributed computing algorithms
  • I/O efficient algorithms
  • Graph data analytics
  • Computational geometry

Fellowships and Awards

  • Outstanding PhD Thesis Award in Computer Science, KAIST (Feb. 2014)
  • Samsung Humantech Paper Award (bronze), Samsung Electronics (Feb. 2014)
  • National Scholarship, KAIST (Feb. 2008 - Feb. 2014)
  • Academic Excellence Scholarship, Inha University (Spring and Fall, 2007)


  • Invited Talk at the 57th NewDB workshop, Seoul, Korea (Mar. 17, 2018)
  • Invited Talk at Inha University, Incheon, Korea (Jan. 10, 2018)
  • Invited Talk at Hanyang University, Seoul, Korea (Sep. 8, 2017)
  • Research Seminar at Simon Fraser University, Burnaby, Canada (Aug. 22, 2016)
  • Presentation at ICDE Conference, Helsinki, Finland (May. 16 - May. 20, 2016)
  • Presentation at ICDE Conference, Seoul, Korea (Apr. 13 - Apr. 17, 2015)
  • Visiting student of Prof. Yufei Tao at Chinese University of Hong Kong (CUHK), Hong Kong (Feb. 2 - Feb. 17, 2013)
    • Funded by CUHK
  • Presentation at VLDB Conference, Istanbul, Turkey (Aug. 27 - Aug. 31, 2012)
  • Presentation at DASFAA Conference, Hong Kong (Apr. 22 - Apr. 25, 2011)

Professional Services

  • Journal Reviewer
    • IEEE Transactions on Knowledge and Data Engineering (TKDE) : 2014, 2016, 2017
    • Data Mining and Knowledge Discovery (DAMI), 2017, 2018
    • Knowledge and Information Systems (KAIS), 2017
    • Journal of Computer Science and Technology (JCST) : 2015
  • External reviewer: ICWS 2014, PVLDB 2015, ICDE 2016, PVLDB 2016

Publication List

Last updated : Mar. 26, 2018 Free counters!