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
Motto	The World's Best in IT Convergence Engineering!
Type	Private
Established	2009
Dean	James Won-Ki Hong
Academic staff	23
Postgraduates	50
Location	Pohang , North Gyeongsang , South Korea
Campus	Urban
Website	itce.postech.ac.kr

Division of IT Convergence Engineering
Hangul	정보전자융합공학부
Hanja	情報電子融合工學部
Revised Romanization	jeongbo jeonja yunghap gonghakbu
McCune–Reischauer	chŏngbo 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)