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Home „ Graduate „ Engineering „ Systems Information Engineering

Systems Information Engineering


Mathematical Analysis for Information Engineering
(Information Analysis)

Recently mathematical finance has developed according to developing of stochastic analysis and computer simulation of several economical phenomena. We are interested in not only mathematical finance but also lots of other fields. We treat stochastic analysis, time series analysis and fuzzy theory for modeling and simulation of some problems in engineering, economics, biology and so on.

Industrial Systems Engineering

This research field will cover various enterprise activities, such as planning, design, production, finance and administration to create value-added products and innovative systems with reduced cost in the efficient way.@Educational and research subjects include the foundations of management techniques related to statistical analysis, financial analysis, quality engineering, logistics, production system design and project management.

Human Media Engineering (Interactive Systems Design)

Human-centered design, based on human characteristics of perception, cognition and behavior, is crucial to build safe society and develop usable products and reliable complex systems. Main interests of Human Media Engineering laboratories are to design interactive media and systems providing us rich information through various operations. Our research fields include cognitive engineering, ergonomics, and developing novel human-computer interactions in the future society.

Networks Information Engineering (Computer Networks)

Research subjects are as follows: control algorithms for traffic, routing, and QoS of communication networks. Application of mobile software agents for network control. Our objective networks are ordinary telecommunication networks, internet, mobile access networks including cellar networks, wireless LAN and Wireless mesh networks. And also Ad-hoc networks (MANET) and Sensor networks are recent our important objectives. RFID, GPS and other various application fields are also interesting areas. We are developing creative academic activities and waiting for curious students

Vision Systems Engineering

Computer science research at the TCU vision systems engineering Lab is very interdisciplinary: we are interested in 3D display, computer vision, mobile robotics, computer graphics, geometric modeling, simulation, visualization, machine learning, digital archive, motion capture, and human-computer interaction. We are involved in cross disciplinary collaborations with numerous local companies.


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