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71 labs · 9 student voices
Other departments in College of Science and Engineering ›Faculties at University of Tsukuba ›

Jun Izawa, Professor
0 student voices
The Brain Information Systems Lab studies the brain's ability to reselect the way it learns, which the lab calls "meta-intelligence." The lab investigates its computational principles and neural mechanisms by combining behavioral experiments, computational models, neural measurement, robotics, artificial intelligence, and neural intervention. The lab also explores neurorehabilitation and new design principles for artificial systems. On the lab's website, it is introduced under the name "HEBB'S Meta-Intelligence Science Lab."

Fumihide Tanaka, Professor
0 student voices
Tanaka Lab aims to create intelligent agent technologies that are always by people's side and support their lives in a society with a shrinking population. The lab conducts research through international collaborations in HRI (Human-Robot Interaction), the study of interactions between people and robots, and in AI robotics. Its current main focuses are realizing new families made up of people and robots, and research on general-purpose AI models aimed at application to HRI. The lab also aims to let everyone enjoy immersing themselves in research in a well-equipped lab environment.

Yoshiyuki Sankai, Professor
0 student voices
The Cybernics Lab is pioneering "Cybernics," a new field that fuses humans, AI robots, and information systems, with cybernetics, mechatronics, and information science at its core. It aims to improve, support, augment, and regenerate human abilities, which have limits, through technology, such as wearable cyborgs that assist people from the outside and artificial hearts that assist people from the inside. University of Tsukuba students, including those in the College of Engineering Systems, who wish to join the lab must attend the lab assignment briefing held in winter. Students coming from other universities must take the entrance exam for graduate programs such as the Degree Program in Intelligent and Mechanical Interaction Systems.

Takehito Utsuro, Professor
0 student voices
The Natural Language Processing Lab studies how to make computers handle human language using artificial intelligence technology. Examples of its research include machine translation, automatic aggregation of free-response survey answers, and generation of game AI and quizzes, using large language models and deep learning. Research themes are narrowed down after students join the lab, in consultation about their interests, mainly from the topics the lab presents. The lab accepts fourth-year students of the College of Engineering Systems for graduation research; to join from graduate school, applicants must pass the entrance exams of programs such as the Degree Program in Intelligent and Mechanical Interaction Systems.

Tadashi Ebihara, Associate Professor
0 student voices
The Communication Systems Lab applies digital signal processing, developed through wireless communication research, to acoustic waves and visible light, and studies communication, positioning, and sensing. Its target environments include the sea, where radio waves do not reach; construction sites in turbid water; crowded roads; and farms, livestock barns, and greenhouses. The lab does not stop at theory and simulation. It values bringing devices that students build themselves to real sea areas, pig farms, cattle barns, and greenhouses to test them. In graduation research, each student aims to build one system on their own from start to finish and get it working in practice.
Masahiro Kawasaki, Associate Professor
0 student voices
The Brain Communication Lab studies human communication by combining a variety of methods, centered on experiments in cognitive neuroscience. Its research rests on three pillars: exchanges within the brain, exchanges between people, and new kinds of exchanges between people and objects. Using EEG experiments and mathematical modeling, the lab investigates brain networks involved in memory and emotion.

Yoshihiro Kuroda, Professor
0 student voices
The Life Engineering Lab conducts research spanning medicine, engineering, and informatics, based on modeling biological systems and applying them in engineering. Aiming at the social implementation of technology in medical settings and daily life, the lab is building the foundations of life-support technologies that enable easy-to-use, comfortable information support in medical care, nursing care, and everyday settings. The lab designs and develops software, hardware, and systems that take into account the physical, physiological, and cognitive characteristics of the body, and conducts research in collaboration with experts in medicine and nursing care. The lab's website also introduces it under the name "Kuroda-Puentes Lab."

Hiroki Koga, Professor
0 student voices
The Information Theory Lab studies Shannon-theoretic analysis of information and communication systems, universal data compression, and information security technologies such as secret sharing. Because the Internet is used by an unspecified large number of people, the lab holds that establishing information security technologies that protect important information is essential. Drawing on information theory and discrete mathematics, the lab studies fingerprinting codes, secret sharing schemes, and visual cryptography.

Sho Sakaino, Associate Professor
0 student voices
The Motion Control Lab conducts research aimed at controlling the interaction among humans, environments, and machines, that is, realizing the control of robots that support humans. The lab identifies two current challenges: building robots with many degrees of freedom is difficult, and achieving the soft, compliant control needed for contact with humans is hard. On the hardware side, the lab works on controlling the human body through functional electrical stimulation; on the software side, it works on bilateral control, force control, and deep learning. The lab's website also introduces it under the name "Sakaino Lab."

Takeshi Shibuya, Associate Professor
0 student voices
The Machine Intelligence Lab studies technology that lets "machines adapt to people" rather than "people adapt to machines." The lab focuses on the software that controls systems, and is strong in machine learning, a field within artificial intelligence. Machine learning is a technology that trains machines using data so that they behave in ways that are useful to people. Rather than having machines learn everything, the lab's policy is to actively incorporate premises and knowledge that are already known, and it approaches the work from both theoretical and applied sides.
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