LAB LOGA page on LabLog, a review site (not the lab's official page)
Large-Scale Knowledge Processing Lab
Machine-translated · View original
The lab uses algorithm theory to handle large-scale data at extremely high speed.
AboutAbout the lab
In search of the “Art” that bridges Science and Engineering.
The Large-Scale Knowledge Processing Lab studies foundational technologies for handling large-scale data at extremely high speed, based on cutting-edge algorithm theory.
At the base of information science lies mathematical theory, and above it lie practical techniques for solving individual problems. The lab's goal is to build a general-purpose technological foundation that connects these two layers.
For this reason, the lab values not only conceptual and theoretical results but also implementing algorithms that hold up in practical use.
While pursuing fundamental principles, the lab also sharpens its members' craft as engineers, aiming to solve real-world problems with solid grounding.
Key terms
- Algorithm
- A computational procedure or strategy for solving a problem. With clever design, computation time can be cut by tens of times
- Combinatorial optimization
- The problem of choosing the best option that satisfies given conditions from among a large number of combinations
- Enumeration algorithm
- A computational procedure that counts or lists all items satisfying given conditions, without duplicates and without omissions
NewsLab news
A student received the Course Chair's Award of the Information Science and Engineering Course, Graduate School of Information Science and Technology, Hokkaido University
A student received the Information Processing Society of Japan Encouragement Award in Computer Science
Prof. Horiyama received the Excellent Interdisciplinary Research Award from the Robotics and Mechatronics Division of the Japan Society of Mechanical Engineers
A student received the Course Chair's Award of the Information Science and Engineering Course, Graduate School of Information Science and Technology, Hokkaido University
A student received the Dean's Award of the Graduate School of Information Science and Technology, Hokkaido University
ResearchResearch themes
Building on algorithm theory, the lab studies technologies for handling large-scale data quickly and accurately. Its keywords include combinatorial optimization, graph structures, enumeration algorithms, computational geometry, computational origami, and computational complexity theory.
*Illustrative imageFoundational technologies for large-scale data
In an age when big data circulates widely, the lab builds foundational technologies that handle large-scale data at extremely high speed, so that searching, editing, classifying, analyzing, enumerating, and indexing the knowledge people need can be done smoothly.
*Illustrative imageThe “Art” that connects theory and implementation
Cross-disciplinary mathematical theory on one side, and practical techniques specialized for individual problems on the other. Aiming to build a general-purpose technological foundation that bridges the two, the lab implements algorithms that emphasize simplicity and generality.
*Illustrative imageAlgorithm theory and computational complexity
The lab studies exact algorithms, the satisfiability problem, circuit complexity, and related topics. The focus is on algorithm design and on theoretical analysis of the computation time and memory needed to find a solution.
*Illustrative imageApplications to social infrastructure systems
Drawing on machine learning, artificial intelligence, data mining, statistical science, system optimization, and information security, the lab aims to contribute to the analysis and design of social infrastructure systems such as power, communications, transportation, commerce, and disaster prevention.
MembersFaculty
Members of the Large-Scale Knowledge Processing Lab include faculty, technical assistants, and doctoral, master's, and undergraduate students.As of 2026
- ProfessorTakashi Horiyama
- Associate ProfessorKazuhisa Seto
VoicesStudent voices
Ratings and reviews reflect the experiences of individual current or former students, not the lab's official views. Whether a lab has reviews, or how many, says nothing about the lab itself.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
Student ratings (0 students)
--
--
--
--
--
--
Student voices answer questions like these
- What's great about this lab?
- What did you learn after joining?
- What's the vibe, and what is the professor like?
- Who is this lab for?
- Where do graduates go?
Your experience can help younger students choose their lab. Your name won't be shown.
Write a lab reviewAnonymous · Your draft is saved if you stopRelatedLabs similar to Large-Scale Knowledge Processing Lab
Algorithms LabFaculty of Engineering, Department of Information and ElectronicsResearch on algorithms for machine learning and data mining,…
Information Knowledge Network LabFaculty of Engineering, Department of Information and ElectronicsKnowledge discovery and information retrieval (algorithms, n…
High Performance Computing LabFaculty of Engineering, Department of Information and ElectronicsParallel processing algorithms for large-scale parallel envi…
Structured Intelligence LabFaculty of Engineering, Department of Information and ElectronicsDomain-knowledge-based AI design (scientific machine learnin…The information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
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: “Network Visualization” Martin Grandjean / CC BY-SA 4.0 (cropped)
- Foundational technologies for large-scale data: “3PAR SAN in the server room” Alexis Lê-Quôc from New York, United States / CC BY-SA 2.0 (cropped)
- The “Art” that connects theory and implementation: “Cranes made by Origami paper” Laitche / Public domain (cropped)
- Algorithm theory and computational complexity: “Red jigsaw puzzle piece on green pieces” Profpcde / CC0 (cropped)
- Applications to social infrastructure systems: “Lok-Kawi Sabah Electricity-pylon-01” CEphoto, Uwe Aranas / CC BY-SA 3.0 (cropped)
- Related lab (アルゴリズム研究室): “Sorting shellsort anim” Simpsons contributor / CC0 (cropped)
- Related lab (情報知識ネットワーク研究室): “Code on computer monitor (Unsplash)” Markus Spiske markusspiske / CC0 (cropped)
- Related lab (ハイパフォーマンスコンピューティング研究室): “CSCS Supercomputer Alps 1” Marco Abram, CSCS / CC BY-SA 3.0 (cropped)
- Related lab (構造化知能研究室): “Costa's Minimal Surface” Anders Sandberg / CC BY-SA 3.0 (cropped)
About LabLog
LabLog is a lab review app for students only. Student members at each university interview students in labs and publish what they say. Student voices can only be read by students who sign up with a university email address. Operated by bestiee Inc.
Learn more about LabLog ↗Search engines and AI may reference the basic lab info and rating summaries on this page and the description of LabLog. Student voices are for student members only. Automated collection by programs (scraping, or input to or training of AI) is prohibited under Article 8 of the Terms of Service. If you need data for research or analysis, please contact us.