Study at TCU

  • TOP
  • Study at TCU
  • Graduate School
  • Integrative Science and Engineering
  • Informatics



The Division of Informatics provides academic opportunities for study and research of information engineering and system information engineering, which focus on areas supporting the development of an advanced information society. The Division offers the programs that cover a broad range of fields, integrating information science, information-communication, management systems, intelligence information within the fields of information-communication technology and the fields where it can be applied, which is the main objective of our providing study and research opportunities. The Division promotes the collaboration with relevant departments and graduate divisions that offer specialized programs.

The Division of Informatics offers the following: a series of stimulating courses that allow students to deepen and widen their study in accordance with their field interests, including control system engineering, computer engineering, computer software engineering, visions and graphics, intelligent information engineering, communication systems, integrated systems, mathematical information engineering, management system engineering, human and media engineering, network information engineering, and vision system engineering.

Keyword Search for Researchers

Search By Keyword
  • Search for researchers by their research field and/or publication titles, etc.
  • When searching with multiple keywords, please insert a space between the keywords.
  • When searching with a keyword that contains space(s), enclose it in half-width quotation marks("").
Search By Name
  • You can search with the full name, last name, or first name of the researcher.

Academic Staff


  1. Software Engineering and Machine Learning
  2. Software Testing
  1. (1) Real time Scheduling Algorithm
  2. (2) Heuristic Algorithm
  1. (1) Advanced control system design
  2. (2) Diagnosis and Monitoring based on biosignal processing
  1. (1) Optimization algorithms
  2. (2) Neural Networks
  3. (3) Chaotic Circuits
  1. (1) Color/gray-scale image enhancement
  2. (2) Underwater image processing
  1. (1) Sensor network for smart cities
  2. (2) Microwave circuits and applied systems
  1. 1. Integrated Circuits
  2. 2. Mixed Signal Processing LSI
  1. (1)Bio-EMC
  2. (2) UHF-RFID

Associate Professor

  1. (1) Machine learning
  2. (2) Distance metric learning
  3. (3) Statistical relational learning using latent structure model
  1. Computational science
  2. numerical analysis
  3. mathematical optimization
  1. Reliability, Graph theory, Security, Statistics, Probability
  1. Electromagnetic Simulation, Antenna Engineering, Microwave and Millimeter-Wave Engineering, Communicatin Engineering