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Labs in Kyoto University, Graduate School of Informatics

16 labs · 0 student voices

Faculties at Kyoto University ›

• Department of Informatics, Systems Science Course (Collaborative Unit)1
• Department of Informatics, Data Science Innovation Education Chair (Cooperating Chair)2
• Department of Informatics, Data Science Course (Collaborative Unit)1
• Department of Informatics, Media Application Chair (Cooperating Chair)1
• Department of Informatics, Applied Analysis Chair1
• Department of Informatics, Social Information Analysis Foundation Chair (Cooperating Chair)3
• Department of Informatics, Social Informatics Course (Collaborative Unit)1
• Department of Informatics, Applied Mathematics and Physics Course (Collaborative Unit)1
• Department of Informatics, Biosystems Informatics Chair (Cooperating Chair)1
• Department of Informatics, Intelligence Science and Technology Course (Collaborative Unit)1
• Department of Informatics, Brain and Cognitive Science Chair3

Educational Informatics Lab

Hiroaki Ogata, Professor

0 student voices

The lab makes the learning process visible through learning logs and improves education with evidence.

The Educational Informatics Lab (Ogata Lab) aims to evolve education, which has long relied on intuition and experience, into education based on evidence and technology. By making the learning process visible and capturing each student's understanding and stumbling points, the lab enables better lesson design and learning support. It also develops tools such as digital textbooks, learning dashboards, and platforms for schools. Working with educational institutions, the lab is building an environment where anyone can learn effectively, anywhere.

#Learning analytics #Educational technology #Learning logs

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Large-Scale Data Utilization Infrastructure Lab

Kazuyuki Shudo, Professor

0 student voices

The lab explores what becomes possible only when many computers work together.

The Large-Scale Data Utilization Infrastructure Lab (Shudo Lab) is a lab that works on software and networks. It studies how to coordinate anywhere from a few computers to millions or more, and what becomes possible only through such coordination. The lab began at Tokyo Institute of Technology in 2008, and in April 2022 Professor Kazuyuki Shudo moved to Kyoto University. In addition to papers and conference presentations, the lab encourages putting its work before the world, for example by releasing software.

#Distributed systems #Blockchain #Data engineering

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Statistical Inference Lab

Hisayuki Hara, Concurrent Professor

0 student voices

The lab sharpens statistical inference for high-dimensional statistical models represented by graphs and networks.

The Statistical Inference Lab is run by Professor Hisayuki Hara of the Data Science Innovation Education and Research Center, Institute for Liberal Arts and Sciences, who holds a concurrent appointment as a professor in the Graduate School of Informatics. His areas of expertise are multivariate inferential statistics, computational algebraic statistics, and Bayesian statistics.

#Statistics #Graphical models #Causal inference

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Medical and Health Data Science Lab

Hiroshi Tamura, Concurrent Professor

0 student voices

The lab uses ophthalmic imaging and claims data to elucidate diseases and improve healthcare.

The Medical and Health Data Science Lab is run by Professor Hiroshi Tamura of the Data Science Innovation Education and Research Center, affiliated with the Institute for Liberal Arts and Sciences, who also holds a concurrent professorship in the Graduate School of Informatics. The lab conducts epidemiological studies using clinical data, centered on images, and claims data, and develops medical systems and testing devices jointly with companies.

#Medical data science #Epidemiology #Medical imaging

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Computational Cognitive Neuroscience (Affiliated Unit) Lab

Hiroyuki Nakahara, Affiliated Professor

0 student voices

A lab that explains decision making and the ability to read other people's minds as computations performed by the brain.

Computational Cognitive Neuroscience (Affiliated Unit) is a unit affiliated with RIKEN, run by Affiliated Professor Hiroyuki Nakahara (Learning Theory and Social Brain Research Team) and Wataru Sato. The Nakahara Lab studies the brain mechanisms that produce adaptive behavior and the computational principles behind them. It focuses in particular on "decision making and learning" and on "social intelligence," which matters most in everyday life. The lab pursues experiments and theory in parallel. In experiments, it works with human fMRI; in theory, it works on computational models of the brain, brain-inspired intelligence, and techniques for analyzing brain data.

#Computational neuroscience #Decision making #Social brain

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Computational Intelligence Systems (Affiliated Unit) Lab

Tomoharu Iwata, Affiliated Professor

0 student voices

A lab that develops machine learning methods that make accurate predictions and can also explain them.

Computational Intelligence Systems (Affiliated Unit) is a unit affiliated with the Data Science Course, run by Affiliated Professor Tomoharu Iwata of NTT Communication Science Laboratories.

#Machine learning #Probabilistic models #Explainability

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