Division of IT Convergence Engineering

The Division of IT Convergence Engineering[1] was founded in March 2009, and will be funded by the Korean Ministry of Education, Science and Technology as a WCU (World Class University) Program. The comprehensive nature of POSTECH’s Division of IT Convergence Engineering, combined with POSTECH’s high quality faculty, facilities, and industrial relationships, makes this division an ideal research environment for students as well as experienced researchers.[2]

Division of IT Convergence Engineering (ITCE)
IT Convergence Engineering
MottoThe World's Best in IT Convergence Engineering!
TypePrivate
Established2009
DeanJames Won-Ki Hong
Academic staff
23
Postgraduates50
Location
Pohang
,
North Gyeongsang
,
South Korea
CampusUrban
Websiteitce.postech.ac.kr
Division of IT Convergence Engineering
Hangul
정보전자융합공학부
Hanja
Revised Romanizationjeongbo jeonja yunghap gonghakbu
McCune–Reischauerchŏngbo chŏnja yunghap konghakbu

History
Month Year Fact
Sep 2008 Applied for MEST's World Class University (WCU) Program (Type 1: Establishment of Graduate School)
Dec 2008 Selected as one of two IT Convergence WCU Projects
Jan 2009 Got approval to recruit 25 students / year for ITCE
Jan 2009 Held the 1st WCU ITCE Workshop
Mar 2009 Established Division of IT Convergence Engineering
Apr 2009 Held the 2nd WCU ITCE Workshop
May 2009 Recruiting students (for Sept/2009 & Mar/2010)
Sep 2009 Opened Division of ITCE for Education
Oct 2009 Held the 1st Int. Symposium on IT Convergence Engineering
Feb 2010 Held the 3rd WCU ITCE workshop
Aug 2010 Held the 2nd Int. Symposium on IT Convergence Engineering
Sept 2010 Held the 4th WCU ITCE workshop
Jan 2011 5th ITCE Workshop
July 2011 Held the 3rd Int. Symposium on IT Convergence Engineering

Structure
  • Autonomics
    • The essence of autonomics is to manage business, system, and technical complexity. This requires new developments that enable components and systems to adapt to changing user needs, environmental conditions, and business goals. Adaptation requires context-aware, intelligent decision-making that orchestrates behavior. Supporting technologies include machine learning and reasoning, control theory, information and data modeling, ontology modeling, and semantic reasoning.
  • Communications&Network
    • In order to support autonomic orchestration, new protocols and data representation methods for ubiquitous systems and applications must be developed. An emphasis on low power consumption and the efficient use of resources is important for developing new nano- and bio-sensors. However, the dream of U-Health and U-Environment applications will never become a reality if smart applications are connected by dumb networks. Therefore, the embedding of increased cognitive abilities in networks and network devices is of paramount importance.
  • Nanosensors & Systems
    • Nano-sensors and systems are critical for realizing U-Health and U-Environment applications. Research will concentrate on scaling nano-devices and -systems as well as improving their scalability and enhancing the reliability of different nanostructure-based communication and data processing methods. Modeling such devices is critical for new bio-medical applications.
  • Biotechnology
    • Nano-sensors and systems are critical for realizing U-Health and U-Environment applications. Research will concentrate on scaling nano-devices and -systems as well as improving their scalability and enhancing the reliability of different nanostructure-based communication and data processing methods. Modeling such devices is critical for new bio-medical applications.

References
  1. Division of IT Convergence Engineering, POSTECH, South Korea. (in English)
  2. Pohang University of Science and Technology, South Korea. (in English)



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