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Information Systems Evaluation Lab
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The lab uses mathematics to analyze transitions between states and get at the essence of computation.
AboutAbout the lab
Designing and evaluating information systems with theory-based mathematical methods
The Information Systems Evaluation Lab studies mathematical models and algorithms that are useful for designing and evaluating information systems, as well as the analysis of those models and algorithms.
In highly reliable information systems, theory-based mathematical methods play an active role.
Drawing on its strength in theoretical research, the lab also engages in industry-academia collaborative research.
On the lab's website, it is introduced under the name 'Ito (Ken)-Chun Lab.'
Key terms
- Combinatorial reconfiguration
- A theory that expresses transitions in a state space with mathematical models and studies the procedures for them from a computational perspective
- Computational hardness
- The property of a problem whose answer is extremely difficult to compute
- Graph
- A mathematical structure that expresses relationships using points (vertices) and the lines (edges) connecting them
NewsLab news
View More ↗ResearchResearch themes
The lab studies, from a theoretical standpoint, mathematical models and algorithms that are useful for designing and evaluating information systems. Its research themes are wide-ranging, and its website introduces 'combinatorial reconfiguration' and 'power distribution operation.'
*Illustrative imageTheory of combinatorial reconfiguration
This is an algorithmic theory that mathematically models and analyzes 'transitions in a state space.' Using the 15 puzzle as a familiar example, the lab takes up transition problems on graphs and theoretically investigates which inputs can be computed easily and which make computation hard.
*Illustrative imageSolving power distribution operation problems with mathematics
The lab treats power distribution networks as graphs and models problems such as minimizing outages and computing procedures for rapid restoration as combinatorial optimization problems on graphs. Finding the best choice among a vast number of routes requires fast algorithms, and the lab works on this through industry-academia collaborative research.
MembersFaculty
The Information Systems Evaluation Lab consists of faculty members and doctoral, master's, and undergraduate students.As of 2026
- ProfessorTakehiro Ito
- Associate ProfessorJinhee Chun
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Efficient and Secure Group Messaging Encryption (2020) - page 8” Tyler Weitzman / CC BY-SA 4.0 (cropped)
- Theory of combinatorial reconfiguration: “15-Puzzle solved” Arcinides / CC BY-SA 4.0 (cropped)
- Solving power distribution operation problems with mathematics: “Foxash electricity substation and power lines - geograph.org.uk - 409484” Liz McCabe / CC BY-SA 2.0 (cropped)
- Related lab (Algorithm Theory Lab): “Network graph visualization showing images and users” Ecpp / CC BY-SA 4.0 (cropped)
- Related lab (Image Analysis Lab): “Optical Sensor” QueSera4710 / CC BY-SA 3.0 (cropped)
- Related lab (System Information Mathematics I Lab): “Collection of geometry models-CnAM 3824-IMG 6752” Rama / CC BY-SA 3.0 fr (cropped)
- Related lab (Intelligent Systems Science Lab): “Data center roof” Rsparks3 / CC0 (cropped)
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