Digital Twin 센터

Digital Twins

A digital twin is a virtual model designed to accurately reflect a physical object and uses simulation, machine learning and inference based on real-time updated data.

Industries most successful with Digital Twins

Engineering(systems) / Car manufacturing / Aircraft Production
Rail car design / Building work / Operation / Power utility

Key R&D

Human Digital Twins : Precision Health, Nutrition & Behavior

The Human Digital Twin technology will serve as an R&D platform that integrates and analyzes objective health data to facilitate early detection of disease and support the development of personalized products and services.

Process Digital Twins : Building Performance and Diagnostics

Process twins, the macro level of magnification, reveal how systems work together to create an entire production facility. Process Digital Twins can help determine the precise timing schemes that ultimately influence overall effectiveness.

Members

Director of Digital Twin Center Kyeong-hwan Jeon
  • Affilate Feculty, PIAI / Ph. D.
    Visiting Researcher, S3D, Carnegie Mellon University
  • Affiliated Research Fellow / Building Performance and Diagnostics Khee poh Lam
      • Professor, School of Design and Environment, NUS
        Professor Emeritus, Carnegie Mellon University
  • Affiliated Research Fellow / Human Digital Twins Sungho Won
      • Prof., Graduate School of Public Health,
        Seoul National University
  • Affiliated Research Fellow / Int’l Collaborative Research Coordinator John Kang
      • Director, Executive and Professional Education
        Software and Societal Systems Department, CMU
  • Affiliated Research Fellow / Human Digital Twins Heejin Jin
      • Research Prof., Institute of Health & Environment,
        Seoul National University
  • Affiliated Research Fellow / Big data & Smart Information Myung Joon Kim
      • Professor, Department of Big Data Application
        College of Smart Convergence, Hannam University
  • Affiliated Research Fellow / Human Digital Twins Bora Lee
      • Research Prof., Institute of Health & Environment,
        Seoul National University
  • Affiliated Research Fellow / Big data & Smart Information Minju Park / CEO of SIANDIS Inc.
      • Assistant Professor, Department of Big Data Application
        College of Smart Convergence, Hannam University
  • Affiliated Research Fellow / Human Digital Twins KyungTaek Park
      • Research Prof., Institute of Health & Environment,
        Seoul National University
  • Affiliated Research Fellow / Big data & Smart Information Jiho Yeo / CTO of SIANDIS Inc.
      • Assistant Professor, Department of Big Data Application
        College of Smart Convergence, Hannam University
  • Affiliated Research Fellow / Human Digital Twins Youngho Park / CEO of DCARE
      • Assistant Professor, Department of Big Data Application
        College of Smart Convergence, Hannam University
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