Welcome to the Database & Data Mining Lab (Big Data Lab) at the POSTECH. We have been focusing on big data, databases, mining, and AI related research. We are trying to publish solid papers in prestigious top-tier database (SIGMOD, VLDB, ICDE) and data mining/machine learning conferences (SIGKDD, ICML, NIPS). 

Our goal is to build scalable, intelligent Big data systems that effectivly and efficiently deal with Big data. Most of Big data is unstructured data, and thus, it is difficult to handle. We are building a system for converting unstructured data into semi-structured data in a graph form so that it can be easily handled in our parallel graph engine. We are also building an intelligent system to interact with humans.

Current research topics include:

  • Natural Language Interface to Database (NLIDB) which translates natural language questions into database queries 
  • Self-tuning DBMS using deep learning 
  • Large-scale video query processing 
  • Parallel computation systems for big data analysis on modern hardware: from micro-level (multi-core/GPU) parallelism to macro-level (shared-nothing, i.e. Cloud) parallelism
  • Large-scale graph computation systems (handling social networks, brain networks, chemical compounds)
  • Intelligent computation systems for structured and dark data (DB+Natural Language processing) 

FAQ (including appointments, internships, and Ph.D. application)

Our Research Collaborators/Sponsors

Oracle Labs logo 


  • One paper about continuous subgraph matching is accepted to VLDB 2021. An enhanced version of TurboFlux has been accepted to VLDB 2021.Congratulations to related members.Min, S., Park, S., Park, K., Giammarresi, D., Italiano, G., and Han, W., "Symmetric Continuous ...
    Posted Apr 11, 2021, 7:18 AM by Wook-Shin Han
  • Three papers are accepted to SIGMOD 2021. Congratulations to all related members.Ko, S., Lee, T., Hong, K., Lee, W., Seo, I., Seo, J., and Han, W., "iTurboGraph: Scaling and Automating Incremental Graph Analytics," In Proc., 47 ...
    Posted Apr 11, 2021, 7:17 AM by Wook-Shin Han
  • Seongyun successfully defended his thesis! Seongyun has successfully defended his thesis about a scalable graph engine.
    Posted Jan 20, 2021, 11:59 PM by Jeong-Hoon Lee
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--May 20, 2010