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Fujisawa Lab
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A lab that connects the real world and virtual space through AI and mathematical optimization.
AboutAbout the lab
Realizing a super smart society with the latest mathematical and computational science
Fujisawa Lab aims to solve social problems by integrating the real world and virtual space.
Using AI, mathematical optimization, graph analysis, and high-performance computing, the lab builds real-world applications through industry-academia collaboration.
The lab runs simulations and optimization on digital twins, which recreate real machines and facilities in virtual space.
It also works on techniques for analyzing huge networks, smart factories, and optimizing the movement of people and goods.
Key terms
- Digital twin
- A digital counterpart that precisely recreates real machines, facilities, or environments in virtual space
- Mathematical optimization
- Using mathematics to find the choice that minimizes cost, time, or similar quantities under given conditions
- Graph analysis
- A method of understanding the relationships among things from data represented as connections between nodes and edges
NewsLab news
A paper on optimizing transport time in automated warehouses was accepted by an applied mathematics journal
Prof. Fujisawa received an award related to smart factories at an international conference
A paper on delivery planning for LP gas cylinders was accepted by an applied mathematics journal
A paper on graph search on Fugaku was accepted at the international conference SC24
A paper on the performance and efficiency of adversarial attacks was accepted by a machine learning journal
ResearchResearch themes
Toward a super smart society, the lab aims to solve social problems by integrating the real world and virtual space. Using AI, mathematical optimization, graph analysis, and high-performance computing, it builds real-world applications through industry-academia collaboration.
CPS and Digital Twins
A cyber-physical system (CPS) collects diverse data from the real world with sensors and IoT devices, then analyzes and optimizes it in cyberspace. Simulations and predictions are run on digital twins, which precisely recreate machines and facilities in virtual space, and the results are fed back into real-world operations.
*Illustrative imageLarge-Scale Graph Analysis
The lab analyzes relationships in huge datasets made of nodes and edges, such as transportation networks, social networks, and neural circuits in the brain. Prof. Fujisawa's JST CREST research team has used the supercomputers K and Fugaku to repeatedly set world records in Graph500, an international benchmark that compares graph search performance.
*Illustrative imageFast Computation of Semidefinite Programming Problems
Semidefinite programming (SDP) problems are optimization problems used in combinatorial optimization, control, data science, financial engineering, quantum chemistry, and other fields. By using parallel computation on many GPUs and overlapping computation with communication, the lab overcame the bottlenecks of computing matrix elements and Cholesky decomposition, and succeeded in solving the largest SDP problem in the world.
*Illustrative imageMobility Optimization Engine
Working with many private companies, the lab develops engines that perform optimization and simulation in cyberspace using sensor data and open data on the movement of people and goods. The aim is to represent three kinds of mobility (information, people and goods, and traffic), and to predict and optimally control them.
MembersFaculty
The members of Fujisawa Lab include faculty, project specialists, researchers, doctoral, master's, and bachelor's students, and technical support staff.As of 2026
- ProfessorKatsuki FujisawaPublications ↗
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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: “Automated Storage and Retrieval System” QmcBeQ3G7DZCmY84uPgT / CC BY 4.0 (cropped)
- Large-Scale Graph Analysis: “Internet map 1024” The Opte Project / CC BY 2.5 (cropped)
- Fast Computation of Semidefinite Programming Problems: “FugakuSupercomputerSC19” Raysonho @ Open Grid Scheduler / Scalable Grid Engine / CC BY-SA 4.0 (cropped)
- Mobility Optimization Engine: “Brighton Marine Drive traffic queue” Editor5807 / CC BY 3.0 (cropped)
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- Related lab (田中健一郎研究室): “Domain coloring x2-1 x-2-i x-2-i d x2+2+3i” Djiboun / CC BY-SA 4.0 (cropped)
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