Sundong Kim PhD student at KAIST

Sundong Kim

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

[Download C.V. / Last updated: Mar. 12, 2018]

About Me

I am a fourth-year Ph.D. student in Graduate School of Knowledge Service Engineering (KSE) at Korea Advanced Institute of Science and Technology (KAIST). Currently, I’m a member of Data Mining Lab (Mar 2015 - Current). My advisor is Jae-Gil Lee. I received B.S and M.S in Dept. of Industrial & Systems Engineering at KAIST (Feb 2013, 2015 respectively). And I was a member of Risk Analysis & Management Lab (Mar 2014 - Feb 2015), during my master’s course.

My current research topic is predicting & analyzing interesting behaviors from customer’s mobility data, especially I am focusing on revisit prediction and the prediction limit.

My previous research topic was about the knowledge base bootstrapping (B-box), by iteratively refining type information of entities(instances and properties), while developing software in Exobrain WiseKB project.

My areas of expertise include Data Mining, Predictive Analytics, Social Network Analysis, Semantic Web, Optimization, Operation Research, and Queueing theory, and I am capable of working with Python, Java, and R.

Since 2013, I have been working as a global TA in iPodia alliance every spring semester for the course of Principles and Practices of Global Innovation.

When I’m not in the office, you can find me practicing ashtanga yoga or pilates.


Publication

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Contact Details

  • E-mail: sundong.kim (at) kaist.ac.kr
  • WWW: http://seondong.github.io
  • Address: Graduate School of Knowledge Service Engineering, E2-1 #1209 KAIST, 291 Daehak-ro, Daejeon, South Korea