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62 labs · 2 student voices
Faculties at Institute of Science Tokyo ›
Masahito Masahito Ohue, Associate Professor
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The Masahito Ohue Lab is a bioinformatics lab that works to accelerate life innovation. The lab makes full use of AI, machine learning, big data analysis, supercomputing, and large-scale simulation. It develops technologies that support predicting how proteins bind to each other and designing small-molecule, antibody, and peptide drugs. Since its founding in 2020, the lab has carried out its research in collaboration with researchers in biology, chemistry, and medical, dental, and pharmaceutical sciences, as well as with companies, local governments, and patient groups.
Ikuro Ikuro Sato, Project Professor
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The Ikuro Sato Lab was founded in April 2020 as a computer vision and machine learning lab. The lab conducts research aimed at developing highly accurate recognition technology that can replace human visual recognition. Centering on recognition that uses sensor information in autonomous driving and advanced driver assistance systems, it also covers anomaly detection and image processing in general. Through a joint research course with DENSO IT Laboratory, Inc., the lab also began work on the area combining AI and control from fiscal year 2025.
Asako Asako Kanezaki, Program-Specific Professor
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The Asako Kanezaki Lab is developing robot systems that recognize the real world and learn to act through machine learning. Started in April 2020, the lab conducts research spanning computer vision and robotics. It also focuses on research that reads what is present from three-dimensional data obtained with range sensors and similar devices.
Isao Shunsuke Ono, Professor
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The Shunsuke Ono Lab studies evolutionary computation, a form of artificial intelligence based on the principles of evolution. The lab aims to create artificial intelligence that, given only a problem and no instructions on how to solve it, can find excellent design solutions and models through its own trial and error. In its basic research, the lab develops evolutionary computation algorithms for numerical optimization, combinatorial optimization, and multi-objective optimization. The lab also conducts applied research, using the algorithms it develops on design and modeling problems.
Shinpei Shinpei Hayashi, Professor
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The Shinpei Hayashi Lab focuses on software "changes" and studies technologies that support software development. Software is built up from an accumulation of many kinds of changes. The lab works on methods that support planning and making changes, analyzing changes, and improving quality through changes. Within software engineering, its main areas are software maintenance and evolution and software development environments.
Masahiro Takinoue, Professor
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The Takinoue Lab studies "intelligent matter" that behaves like a living organism. Living systems can be thought of as molecular computers and molecular machines that move on their own using chemical energy. By designing the higher-order structures of biomolecules and programming non-equilibrium biomolecular reactions, the lab aims to realize autonomously moving artificial cell systems and molecular artificial intelligence. The lab is pioneering a field called "information-life physics," which combines life science, information science, physics, and engineering.
Naoaki Okazaki, Professor
0 student voices
The Okazaki Lab researches natural language processing, that is, computers that can handle human language. The lab explores the principles and methods for realizing intelligent communication on computers, such as translating text in foreign languages, holding a dialogue with a person, and answering questions. Building on foundations in linguistics, statistics, and machine learning, the lab also incorporates cutting-edge methods such as deep learning and large language models. The lab also applies its research results in the real world, for example in social observation through big data analysis.
Xavier Xavier Défago, Professor
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The Xavier Défago Lab studies distributed systems, in which many computers and robots connected by a network carry out tasks while communicating with one another. The lab designs distributed algorithms that make distributed systems run correctly, safely, and efficiently. The lab is interested in problems that lie between the theory of algorithms and the practice of actually running them. Its work includes cooperative behavior of robots, development of robots for experiments, fundamental theory for secure communication, and applications of blockchain technology.
Tsuyoshi Murata, Professor
0 student voices
The Murata Lab researches artificial intelligence, particularly network science, machine learning, and Web mining. The lab focuses on the structure of networks, which represent the connections between things, and works on discovering knowledge from that structure. The lab studies deep learning methods for graph-structured data, such as graph neural networks. From information on the Internet, the lab also discovers related elements, determines the importance of elements, and estimates future connections.
Takashi Takashi Ishida, Professor
0 student voices
The Takashi Ishida Lab develops computational methods for solving problems in biology. Its main focus areas are protein structure prediction, drug discovery, and applications of machine learning to biology. The lab builds methods based on machine learning, probabilistic models, and algorithm design, aiming for algorithms that are fast, accurate, and interpretable. In recent years, through collaborations with the School of Medicine and the School of Dentistry, the lab has also been analyzing clinical data.
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