Research Fields of the Department of Industrial and Systems Engineering
Building Systems That Incorporate the Characteristics of Both Humans and Machines
Most systems are designed with human use in mind, or with humans themselves as part of the system. As such, we consider systems that capture human behavior and psychology alongside the characteristics of machines and computers, enabling them to work together smoothly. Industrial engineering, production engineering, ergonomics, and systems engineering address these aspects, with research conducted on human error, advanced road traffic systems, and production logistics systems utilizing IC tags.
Developing Mathematical Models That Reflect Real-World Problems
Students will learn methods for understanding and analyzing situations from data, then mathematically modeling them to derive the most efficient solutions. Other methods include operations research, in which students collect data, perform statistical analysis to extract useful knowledge, apply quality management and quality engineering to manufacturing, build mathematical models reflecting real-world problems, and study management strategies using mathematical techniques.
Learning Cutting-Edge Information Processing Technologies, with a Focus on Artificial Intelligence
Students will learn practical information systems technologies such as programming, algorithms, software engineering, artificial intelligence, and machine learning. Research is also being conducted on “Integrated AI combining knowledge reasoning, speech dialogue, image sensing, motion planning, and machine learning,” “Distributed artificial intelligence technology that simulates individual and crowd behavior to support decision-making and action, and its application to evacuation during disasters,” “Development of autonomous general-purpose artificial intelligence that coexists with humans,” and “Applications of deep learning to pattern recognition.”
Solving Management and Economic Issues Through Engineering
Students will learn engineering and mathematical approaches essential for solving business and economic problems that arise in corporate management. These include management theory, financial risk assessment and control, investment theory, accounting and marketing, economic analysis, and decision theory examining corporate decision-making mechanisms. Research is also conducted on financial engineering topics such as asset management models, financial market analysis, and real options, as well as economic fields including game theory and pricing mechanisms.