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Kim, Cheeha

  한 욱 신  Ph.D., KAIST


   ▣ 연구 분야:  Database and Data Mining


 · E-mail:
 · Homepage:

 · Phone 054-279-8866
· Office공학2동 311호

   ▣ 관심 연구 분야 

     · Parallel computation systems for big data analysis on modern hardware: from micro-level (multi-core/GPU) parallelism to

       macro-level (shared-nothing) parallelism

     · Large-scale graph computation systems (handling social networks, brain networks, chemical compounds)

     · Intelligent computation systems for structured and dark data (DB+Mining+Machine Learning) 


   ▣ 주요 연구 성과

      · Progressive query optimization in a shared nothing parallel DBMS (inside IBM DB2)
      · Billion-scale Graph Processing Engine

      · Tight integration of Database and Information Retrieval

   ▣ 키워드

     · Big Data, DBMS, Large-scale software, Graph processing, Parallel computing