Faculty of Science and Engineering
Information and System Engineering
"Information and System Engineering" is one of the multi-disciplinary areas of research that quantifies or qualifies respective events, formulates or regularizes problems into forms that are processable on computers, describes required information processing with computer codes, and inherits to develop the technology of designing, building, and operating high-performance information systems efficiently.
For this purpose, the faculty members in the Department of Information and System Engineering (ISE) are all active researchers in the domains of social information, visual information, mathematical information, intelligent information, and life information, which are covered by the Institute of Electrical and Electronic Engineers (IEEE) and the Association for Computing Machinery (ACM).
In particular, the department offers an original series of classes “Software Project on CG, VR, and Image Processing 1-4” that takes a practical approach to cultivating IT engineers who can create advanced 3D contents concerning computer graphics (CG), virtual reality (VR), and image processing. These have the potential to appear in next-generation games through project-based learning (PBL) that provides undergraduate students with a strong incentive for learning through teamwork in software development, an approach that is common in information and system engineering.
Fields of interest
Algorithm Theory, Computational Geometry, and Applied Mathematics
Analysis of Traffic Flow in Public Transportation Networks based on Time-space Network and User Equilibrium Principle
Artificial Intelligence, Bionics, and Cybernetics
Combinatorial Optimization and Algorithm Engineering
Combinatorial Optimization and Analysis of Algorithms
Cryptography and Security / Machine Learning and Human Media
Digital System Design, Logic Functions, and Fault-tolerant Computing
Discrete Algorithms, Networks, Data Structures, and Computation
Geometry Processing and Computational Topology
Linear Optimization, Operations Research, and Data Analysis
Numerical Computation and Algorithmic Differentiation
Operations Research, Geographic Information Science, and Logistics
Optimization, Mathematical Modeling, and Operations Research
Quantum Statistics and Bioinformatics
Visual Analytics, Virtual Reality, and Computer Graphics