Labs in The University of Electro-Communications, School of Informatics and Engineering, Class I (Informatics)

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A lab that studies programming languages and their implementations.

The Komiya Lab studies programming languages and programming language implementations. Prof. Komiya is a Professor in the Department of Computer and Network Engineering, Graduate School of Informatics and Engineering. The lab's website provides the TUTScheme implementation (source code and binaries) and its manual. The website also has handouts introducing the lab.

#Programming languages #Programming language implementation

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A numerical analysis lab that seeks to understand natural phenomena through the language of mathematics.

The Koyama Lab studies numerical methods based on the finite element method. The lab is interested in understanding natural phenomena in the language of mathematics, and its main research topic is the numerical analysis of partial differential equations. Going forward, the lab hopes to pursue its research under the motto “from theory to applications.” The information on the lab's website dates from around 2013.

#Finite element method #Partial differential equations #Numerical analysis

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A lab that makes simulations faster and larger through matrix computation and high-performance computing.

The Yamamoto Lab studies numerical algorithms centered on matrix computation, and their implementation using high-performance computing technology. Matrix computations, such as solving systems of linear equations with sparse coefficient matrices and computing eigenvalues, are among the most fundamental building blocks of scientific computing. The lab collaborates with researchers in application fields and applies the algorithms and high-performance computing technology it has developed to real problems, running large-scale simulations.

#Matrix computation #High-performance computing #Large-scale simulation

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The lab simulates neural circuits of the brain on supercomputers.

The Yamazaki Lab studies neural circuits of the brain, using numerical computation and high-performance computing (HPC) as its foundational technologies. Its research goal is to build biologically detailed models of neural circuits, in other words a digital copy of the brain. To this end, the lab is developing Neulite, a simulator that runs such detailed models. The lab especially welcomes students who want to move into brain research from the field of HPC.

#Neural circuit simulation #High-performance computing (HPC) #Digital copy of the brain

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The lab studies geometric figures, sets, and graphs from a computational perspective.

The Okamoto Lab has so far worked on computational geometry and discrete geometry, set families, graph drawing, game theory, counting algorithms, and more. The research themes page states that it introduces research done up to now, which may differ from the research the lab wants to do in the future. Students' research is published as bachelor's and master's theses under titles such as puzzles, facility location, portfolio optimization, and delivery route optimization. A note adds, however, that these reflect the content of students' research and do not mean that the faculty member has expertise in each individual topic.

#Computational geometry #Graph drawing #Cooperative game theory

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工藤 周平　研究室 (introduction coming soon)

Supercomputing / high-performance computing / parallel computing

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The lab explores foundational technologies for high-performance computers, such as parallel processing and networks.

The Honda-Miwa-Yamaki Lab studies cutting-edge computer system foundation technologies for high-performance computing. The lab's website is divided into pages for the Honda Lab, the Miwa Lab, and the Yamaki Lab. The Miwa Lab studies topics such as power management of supercomputers and processors using next-generation semiconductors, and the Yamaki Lab studies topics such as analysis of communication content by network devices. The Honda Lab lists computer and network architectures and software for high-performance computing as its research topics.

#High-performance computing #Power management #Network equipment

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The lab studies Bayesian networks and e-testing.

The Ueno Lab studies artificial intelligence, statistics, Bayesian theory, machine learning, natural language processing, and more. Besides theoretical research on Bayesian networks and software development and applied research, the lab also develops e-testing and e-learning systems. The lab aims for "research that can truly contribute to society" by repeatedly cycling between theoretical research and practice.

#Bayesian networks #E-testing #E-learning

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The lab is a mathematical informatics lab that studies the fundamentals of algorithms and computational complexity.

The Takenaga Lab conducts research on algorithms and computational complexity, which are essential in every area of computer science. An algorithm is a procedure for processing a problem. Even for the same task, the time required can differ, sometimes beyond comparison, depending on whether a good algorithm or an inefficient one is used. The lab studies methods using binary decision diagrams, problems on graphs, and the computational complexity of games and puzzles.

#Algorithms #Computational complexity #Binary decision diagrams

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石田 晴久　研究室 (introduction coming soon)

Differential equations / hyperbolic partial differential equations / initial value problems / well-posedness / mathematical biology / infectious disease epidemic models / asymptotic analysis