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55 labs · 3 student voices
Other departments in School of Engineering ›Faculties at Hokkaido University ›
Kazuhisa Sueoka, Professor
1 student voices
The Nanoelectronics Lab works on measurement techniques that can distinguish individual atoms and even electron spins, as well as on sensors and devices with new functions. The lab belongs to the Advanced Electronics field of the Information Electronics Course in the Graduate School of Information Science and Technology. The faculty members specialize in measuring surfaces and spins using tools such as the scanning tunneling microscope, electron spin in semiconductors, and molecular films that spread on a water surface (monolayers).
Seiya Kasai, Professor
1 student voices
The Quantum Intelligent Devices Lab studies materials and devices with new functions that apply new physical phenomena and clever mechanisms found in nature. It works on detecting myoelectric signals using "stochastic resonance," which living things exploit to make use of noise, and on low-power artificial intelligence that uses the movement of slime molds. The lab also advances research on microfabrication of semiconductors using light and electrochemistry, and on materials that convert light into electricity. The lab consists of the Functional Electronic Devices Group and the Semiconductor Electrochemical Processes Group.
Yoshito Tanaka, Professor
1 student voices
The Nanosystem Optical Manipulation Lab (Tanaka Lab) studies the interaction between light and artificial nanostructures from the perspectives of momentum, angular momentum, and chirality. The lab aims to create new principles of optical manipulation by capturing the dynamics, geometry, and symmetry of the fields where light and matter meet at the nanoscale. The lab develops and integrates its own techniques in microfabrication, optical measurement and control, and electromagnetic field simulation, and uses them as the foundation of its research. The lab was launched in April 2023 at the Research Institute for Electronic Science, and welcomes applicants to its graduate program from other universities and other faculties.
Itsuki Noda, Professor
0 student voices
The Intelligent Software Lab studies how artificial intelligence technology can be used in society. The lab has two pillars. One is multi-agent social simulation, which examines behavior in settings where multiple people or robots are present. The other is natural language processing built around large language models, aiming for processing that goes into causal relationships and specialized knowledge. With these two as twin pillars, the lab also pursues questions such as what intelligence is and what society is.
Masahito Yamamoto, Professor
0 student voices
The Autonomous Systems Engineering Lab studies artificial life and artificial intelligence under the theme of "understanding and creating life-like intelligence." Using neural networks such as deep learning as tools, the lab applies them in a wide range of areas. These include AI programs for board games and curling, reproducing the process by which people experience optical illusions, AI that supports sign language learning, and research on monitoring the behavior of zoo animals. Under the motto "give everything to both research and play," the lab values building an environment where members can commit themselves without fear of failure.
Hidenori Kawamura, Professor
0 student voices
The Harmonious Systems Engineering Lab aims to contribute to people's happiness and social harmony by applying artificial intelligence technology. Its fields are broad, including deep learning, machine learning, genetic algorithms, game theory, and multi-agent systems. The lab implements these as smartphone, cloud, and web services, and carries its research through to having people in the real world use them. As an extension of this, venture companies have emerged from its research results, and joint research with companies is progressing.
Daisuke Sakamoto, Professor
0 student voices
The Human-Computer Interaction Lab studies the design of interaction between people and computers. Its work includes research on conversational robots, xR research covering VR, AR, and MR, and the development of user interfaces that apply artificial intelligence. The lab's scope is broad, extending to user experience design and interaction design, both essential to building products. Students can set their own research topics with freedom, or work on themes the lab has been pursuing.
Takashi Horiyama, Professor
0 student voices
The Large-Scale Knowledge Processing Lab studies foundational technologies for handling large-scale data at extremely high speed, based on cutting-edge algorithm theory. At the base of information science lies mathematical theory, and above it lie practical techniques for solving individual problems. The lab's goal is to build a general-purpose technological foundation that connects these two layers. For this reason, the lab values not only conceptual and theoretical results but also implementing algorithms that hold up in practical use. While pursuing fundamental principles, the lab also sharpens its members' craft as engineers, aiming to solve real-world problems with solid grounding.
Masaharu Yoshioka, Professor
0 student voices
The Knowledge Base Lab studies methods for finding useful knowledge and information in vast amounts of data. It also aims to combine the extracted information with existing knowledge, organize and systematize it, and turn it into knowledge that can be used again and again. The lab approaches this process of discovering, organizing, and reusing knowledge from the viewpoint of information similarity and abstraction, and studies it through both theory and experiments. It also works on ways to link the results of machine learning, such as deep learning, with existing knowledge, and to solve problems in collaboration with people.
Hiroki Arimura, Professor
0 student voices
The Information Knowledge Network Lab studies algorithms and artificial intelligence, with knowledge discovery and information retrieval as its themes. Based on algorithms, the lab tackles head-on the ultra-fast processing of large-scale, unstructured spatiotemporal data from the real world. Its core is basic research on discrete algorithms, and it also covers applications to artificial intelligence and big data. The lab suits people who enjoy thinking about mathematics and how systems work, and people who like writing programs are also welcome.
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