Current Projects

We are conducting multiple projects.


  • Development of Experiential Knowledge Platform

The goal of this project is to develop a knowledge management platform that digitalizes and manages experiential knowledge of field experts in order to support mission-critical decision making. More specifically, this project aims at building a self-evolving experiential knowledge platform, which minimizes the involvement of knowledge expert by interacting with field experts and supports their decision making by exploiting expertienal knowledge automatically obtained through the self-learning process. The project is funded for three years from 2015 to 2018.

  • Big-data Analytics

The goal of this project is to develop a predictive model of the current value of real estate properties. The project involves big-data processing, machine learning algorithm design, and predictive model evaluation. Working with a government-sponsored company, the project is expected to radically transform the current dominant practice of real estate valuation, mostly dependent on laborious human efforts. The project is funded for 2016 to 2018.

  • Next Generation Virtual Assistant’s Intelligence Modeling

The goal of this study is to support the effective interaction between people and Internet of things based on object and connected intelligence. This project aims at exploring case studies for UX frameworks based on object and connected intelligence, and modeling UX-based user profile elements for effective human-object interaction. We also provide a UX research methodology that is suitable for object and connected intelligence to other researchers. The project is funded for 2017.

  • Phone: +82 42 350 1602
    Fax: +82 42 350 1610

  • Location: Room 1201, Bldg. E2-1, KAIST 291 Daehak-ro, Yuseong-gu, Daejeon 305-701

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