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70 labs · 0 student voices
Other departments in Faculty of Engineering Science ›Faculties at Yokohama National University ›
Yuki Yamanashi, Professor
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The Yamanashi Lab aims to build next-generation computing systems with far higher computing power and power efficiency than today's computers, using superconducting electronics as its main tool. Its research fields are integrated electronics and quantum electronics, and the lab calls itself the "Superconducting Quantum Integrated Electronics Lab." The lab studies information processing with new devices and circuits, and also conducts research aimed at applications to quantum computing systems and machine learning, so it is closely connected with the fields of physics and information science. Its research covers a wide range of activities, including analysis, evaluation, optimization, design, and measurement.
Nobuyuki Yoshikawa, Professor
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The Yoshikawa Lab researches integrated circuits with extremely low energy consumption in order to realize the advanced information society of the future. There are estimates that building a next-generation supercomputer from CMOS integrated circuits would require very large power consumption. The lab therefore researches superconducting integrated circuits that are far more power-efficient than CMOS integrated circuits, even when the energy needed for cryogenic cooling is included. Its goal is to spread this technology toward the realization of future high-end computers.
Junji Shikata, Professor
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The Shikata Lab focuses especially on fundamental theory in the fields of cryptography, mathematical algorithms, information theory, and theoretical computer science. In today's information society, where people use the Internet and other networks, cryptography underpins the security that lets many people communicate and make contracts with confidence. Targeting public-key cryptography and cryptography whose security is guaranteed by information theory, the lab analyzes the security of cryptosystems and devises new ones from a theoretical standpoint. It also studies mathematical algorithms from various standpoints, including development and improvement that emphasize theory and those that emphasize implementation.
Keisuke Shima, Professor
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The Shima Lab combines the mechanisms of the human body with artificial intelligence, aiming to support people effectively in a wide range of situations. The lab believes that people can be supported by properly measuring, evaluating, and using biosignals generated by human activity, such as electromyography, electroencephalography, and vital signs. Its research is built on four pillars: artificial intelligence models, human-machine interfaces, elucidation of movement mechanisms, and evaluation of motor function and training methods. Lab visits are accepted at any time.
Shinichi Shirakawa, Professor
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The Shirakawa Lab conducts broad research and development on artificial intelligence technologies, including evolutionary computation, machine learning, and image processing and recognition. The lab pursues both the development of fundamental algorithms and research that applies them to real-world problems. It also carries out joint research with researchers within the university, at other universities, and at companies. In addition to students of the Graduate School of Environment and Information Sciences, the lab accepts fourth-year students of the Computer Science Educational Program (EP) in the Faculty of Science and Engineering as graduation research students.
Takashi Tomii, Professor
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The Tomii Lab specializes in data engineering and multimedia databases, and researches advanced applications of databases. Paper titles include visualization of the energy consumption of EVs and support for lifelog analysis using an information visualization language that extends SQL. Graduate students belong to the Department of Information Environment in the Graduate School of Environment and Information Sciences, and undergraduates belong to the Computer Science Educational Program (EP) in the Department of Mathematics, Physics, Electrical Engineering and Computer Science, Faculty of Science and Engineering.
Tomohiro Fujii, Professor
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The Fujii Lab studies the grammar of human language from the standpoint of theoretical linguistics. It investigates syntax, which deals with how words combine to form sentences, through both theory and linguistic experiments. Its research also covers the process of acquiring the grammar of a language (grammar acquisition) and semantic inference by English learners whose native language is Japanese.
Tatsunori Mori, Professor
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The Mori Lab specializes in digital document processing, information retrieval, information extraction, and natural language processing. Automatic summarization and question answering are also listed among its research keywords. Prof. Mori contributed to writing a book summarizing the AI project "Can a Robot Get into the University of Tokyo?" Recent papers for which Prof. Mori is the corresponding author include work on information extraction using large language models and on a Japanese sentiment analysis model.
Katsunari Yoshioka, Professor
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The Yoshioka-Sasaki Lab studies the observation, analysis, and countermeasures of cyberattacks that are actually occurring. It also works on predicting attacks expected to occur in the near future, and is interested in practical, highly applicable cybersecurity technologies. Its themes range widely, from usable security, which centers on the people who use systems, to malware countermeasures and the observation of infections in IoT devices. The lab also provides services, such as operating honeypots, which are decoy observation systems.
Ryoji Tanabe, Associate Professor
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The Tanabe Lab conducts fundamental research on evolutionary computation, a field within artificial intelligence and computational intelligence. Evolutionary computation is a general term for a class of iterative, stochastic optimization methods, including genetic algorithms and evolution strategies. Evolutionary computation is one useful approach to black-box optimization problems, where the objective function is not given as a formula. To broaden the application areas of evolutionary computation, the lab works on realizing methods that are higher-performing and easier to use.
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