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Academics

Mentoring the next generation of ambitious scientists is the hallmark of GIST Professors

School of Electrical Engineering and Computer Science

전기전자컴퓨터공학부
SCHOOL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE

SCHOOL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE

  • Homepage : http://eecs.gist.ac.kr/
  • E-mail : eecs@gist.ac.kr
  • Tel : 062)715-2202~3 / Fax : 062)715-2204

The mission of the school of Information and Communications is to educate highly trained researchers and to conduct leading-edge research and development in next-generation information and communication technologies to foster the realization of a knowledge-based information society. The focus of this School is based on ultrahigh speed information and communication technologies, academic research for core foundation technologies, and interdisciplinary integrated research to develop applications for these technologies. Research is conducted in groups to promote efficiency and provide a competitive edge.

Major Research Areas

Communication Systems and Computer Networks
  • Communications and Sensors Network Lab
  • Networked Media Lab
  • Wired/Wireless Communications Systems Lab
  • Wireless Communications and Networking Lab
  • Communication Systems Lab
Photonics and Optics
  • Biophotonics
  • Applied Optics
  • Optical Nanotechnology
  • Specialty optical fiber technologies
  • Photon Information Processing
Semiconductor Optoelectronics and Microwave Electronics
  • High–Speed integrated circuits
  • Solid-state lighting
  • Optoelectronics
  • RFICs and Systems Lab
  • Microwave Optoelectronics
  • Opto-devices
  • Semiconductor device simulations
Signal Processing
  • Human media communication & processing
  • Visual communication systems
  • Multimedia signal processing
Computer Science and Engineering
  • Computational systems biology
  • Computer Vision
  • Programming Systems
  • Data Mining —computational biology
  • Machine learning & vision
  • Biocomputing
Signal and Information Systems
  • Computational science & scientific computing
  • Number theory
  • Discrete mathematics: Graph theory
  • Symbolic & algebraic computation