Sundong Kim PhD student at KAIST

Sundong Kim (김선동, 金先东)

Ph.D. Candidate, KAIST KSE
E-mail: sundong.kim (at) kaist.ac.kr
'Open-Minded', 'Opinionative', 'Optimist', 'Optimizer'

Seeking a research/data scientist job starting from Fall 2019. If we have similar interests, don’t hesitate to reach out. [Download C.V.]
Message me on LinkedIn!

About Me

I am a last year Ph.D. student in Graduate School of Knowledge Service Engineering (KSE) at Korea Advanced Institute of Science and Technology (KAIST). Currently, I am a member of Data Mining Lab led by Prof. Jae-Gil Lee. I received B.S and M.S in Dept. of Industrial & Systems Engineering at KAIST (Feb 2013, 2015 respectively). During my master’s course, I was a member of Risk Analysis & Management Lab.

My research interests include data mining, predictive analytics, and deep learning. I am always trying to be active in communication and find synergies between members, and I would like to pursue my career in that direction.


Selected Publications

  • A Systemic Framework of Predicting Customer Revisit with In-Store Sensors
    Sundong Kim, Jae-Gil Lee
    Conditionally Accepted to Knowledge and Information Systems. (Invited Paper)

  • Utilizing In-Store Sensors for Revisit Prediction
    Sundong Kim, Jae-Gil Lee
    The IEEE International Conference on Data Mining (ICDM) 2018, Singapore. (Full Paper - Acceptance Rate: 8.86%)
    (Selected as one of the best papers in ICDM 2018)
    [Link] [PDF] [Slides] [Poster] [Video] [Github]

  • Friend Recommendation with a Target User in Social Networking Services
    Sundong Kim
    The IEEE International Conference on Data Engineering (ICDEW) 2015, Seoul, Korea. (Ph.D. Symposium)
    [Link] [PDF] [Slides]

For full list, please follow this link, or my check my C.V. which includes the list of working papers.


Recent News

  • [2018-12-27] I received an outstanding research award, KSE KAIST [photo].
  • [2018-12-20] I had an invited talk at Korea Software Congress and received an appreciation award [photo].
  • [2018-12-17] I received the best presentation award (Among 15 Ph.D. Candidates) from bi-annual student colloquium, KSE KAIST [photo].
  • [2018-12-01] My paper Utilizing In-Store Sensors for Revisit Prediction, was selected as one of the best papers of ICDM 2018 and invited for potential publication at the KAIS Journal.
  • [2018-11-29] I received an MSRA star of tomorrow award, which is an excellence award for interns [photo].
  • [2018-11-29] I did a user modeling research in Microsoft Research Asia Social Computing Group from Sep 2018 to Nov 2018.
  • [2018-08-18] My paper Utilizing In-Store Sensors for Revisit Prediction, was accepted to ICDM 2018. See you in Singapore!
  • [2017-12-01] I received the best presentation award (Among 18 Ph.D. Candidates) from bi-annual student colloquium, KSE KAIST [photo].

Contact Details