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Convergence Technology Research

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Div. of
Convergence Technology Research

Div. of Convergence Technology Research tries to accelerate new scientific discoveries and data-based convergence research by building a nation-wide sharing system of scientific data. We also develop technologies to support disease research for resolving social issues in biomedical areas, and a decision-making support system that integrates and analyzes social and policy data with data of global environmental changes.

100%or more
Efficiency in research of satellite image data (against SeaDAS)
80%or more in 2015 against global top
Accuracy in modeling and simulation of dementia data network expected to hit
36-hour 200km in 2015
Error in prediction of typhoon course expected to be
supercomputing General Manager

General ManagerSung Won-Kyung

Currently in Charge of Scientific Data Research, Biomedical HPC Tech Research and Disaster Management Research.

  • Universite Paris Diderot-Paris 7, Ph.D
  • Yonsei University, M.A.

Scientific Data Research Center

The scientific data is being magnified as an important national resource, following data-based fourth generation R&D paradigm. The center supports innovation in science and technology by building a sharing system of scientific data and data-intensive research environment.

Building and expanding a national scientific data sharing system

Building and expanding a national scientific data sharing system

We support building a governance system that includes preparation of laws and establishment of managing hierarchy to promote sharing of national scientific data. We are also building a scientific data sharing platform and holding forums for making scientific data policy.

Developing data-intensive core technologies and research environment

Developing data-intensive core technologies and research environment

We engage in research and development of core technologies required to process and analyze many types of large-scale scientific data such as satellite images and nuclear fusion data. Our development of platform technologies for resolving data-intensive research issues will take the lead in fourth generation R&D paradigm.

Biomedical HPC Technology Research Center

The center supports research into geriatric degenerative diseases such as dementia and predicts the spread of a new type of infectious diseases such as MERS by developing HPC and big data-based technologies dedicated to addressing social issues in an aging society and biohazards.

Securing dementia data network analysis technology

Securing dementia data network analysis technology

We are building a database on interaction among disease-related substances(genes, proteins, medicine, etc.) and developing HPC-based dementia research environment to properly cope with dementia, one of the most common geriatric disorders, preparing the foundation of personalized medical treatment.

Developing simulation-based disease prediction technology for early coping with a new type of infectious diseases

Developing simulation-based disease prediction technology for early coping with a new type of infectious diseases

We are securing original technologies for predicting mutations and spread of a new type of infectious diseases using open data and also developing a decision-making support infrastructure.

Disaster Management HPC Technology Research Center

The center engages in research into building and utilizing the decision-making support system that collects, produces, analyzes and exchanges environmental data of the planet in real time.

Decision-making support system for coping with disasters and hazards

Decision-making support system for coping with disasters and hazards

We are developing M&S and visualization technologies dedicated to analyzing environmental data and predicting disasters and hazards. We are also building a decision-making support system for coping with disasters by developing large-scale real-time data processing technology based on HPC and its test-bed.