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123 labs · 5 student voices
Faculties at University of Tsukuba ›

Hiroshi Furukawa, Associate Professor
0 student voices
The Cognitive Support Systems Lab uses digital technology and IoT to study support technologies that fit the way people think and perceive. The lab investigates how people understand information, make decisions, and act in complex situations, and applies the findings to the design of interfaces and support systems. Its subjects include pedestrian navigation, learning support for understanding the functions of ICT devices, and the use of mobile devices in education. The overarching goal is "developing ways to use mobile and ICT devices to realize a smart life."

Mikio Yamamoto, Professor
0 student voices
The Natural Language Processing on the Web Lab studies technologies that enable machines to understand and process human languages such as Japanese and English. The lab uses statistical methods that automatically acquire various rules and information from large amounts of text data, such as patent documents and newspaper articles. It also studies applications of these technologies on the web. Every week, the lab holds a lab seminar where students report on their research, and a paper reading seminar (rinko) where English-language papers are explained.

Noboru Kunihiro, Professor
0 student voices
The Cryptographic Theory Lab focuses on cryptographic theory, in particular the security analysis of cryptography. Using mathematics and the theory of algorithms, the lab thoroughly verifies whether cryptography is truly secure. The lab also evaluates the security of cryptography using quantum computers, and proposes cryptosystems that remain secure even after quantum computers are realized. The lab accepts students from the College of Information Science who are working on their graduation theses.

Naoto Hoshikawa, Associate Professor
0 student voices
The Service Computing Lab studies the technologies and methodologies of information systems and networks from a service perspective, and aims to demonstrate them on real-world problems. The research is divided into three areas: next-generation network infrastructure, information systems that solve people's everyday problems, and mechanisms that support digital twins and the metaverse. Each student takes charge of one research topic, and both undergraduates and graduate students work toward giving an academic presentation every year. On the lab's website, the lab is also introduced under the name "Hoshikawa Lab."

Keiji Nagatani, Professor
0 student voices
The Field Robotics Lab conducts research and development on robot technologies for use in outdoor fields. Its representative targets are emergency recovery after natural disasters and automated construction at construction sites. The lab's research philosophy is "to create technologies and systems that are useful to people." The lab was launched in October 2024 as a sister lab of the "Intelligent Robot Lab."

Taizo Suzuki, Associate Professor
0 student voices
The Multi-Perceptual Media Processing Lab studies media information processing technologies based on human perceptual characteristics. Centered on images and video, the lab studies perceptual media from the perspectives of analysis, compression, protection, understanding, and representation, building on signal processing and machine learning. Perceptual media equipped with functions suited to their purpose and usage environment are called "multi-perceptual media," and the lab studies technologies for them. The lab also welcomes joint research and technical consultation with companies and research institutions.

Tohru Kawabe, Professor
0 student voices
The Applied Mathematical Systems Lab studies the modeling, control, and data analysis of a wide variety of systems using mathematical approaches. The lab places importance on considering the essential characteristics of its subject and on building accurate models and problem formulations. Its goal is to establish a theoretical framework for modeling and design that realizes robust cyber-physical systems, and to apply it to real systems. In addition to individual progress meetings, the lab holds reading seminars on the literature on systems and control, optimization, signal processing, and related topics.

Tetsuya Sakurai, Professor
0 student voices
The Mathematical Informatics Lab studies information modeling and algorithms using mathematical methods. Using mathematical methods, the lab handles a wide range of phenomena in nature, life, and society, as well as computer-based information such as media and knowledge, and explores methods for analyzing, searching, generating, and reconstructing them. The lab mainly studies numerical analysis and mathematical software, and is commonly known as "MMALab." The Numerical Computation Group holds its lab seminar every Thursday, and the Mathematical Media Informatics Group holds its lab seminar every Wednesday.

Yoshio Sano, Associate Professor
0 student voices
The Systems Mathematics Lab carries out a wide range of research on mathematical optimization and algorithms. Once a model is built that expresses conditions and requirements as equations, an optimization algorithm outputs the best answer. By devising better models, designing fast algorithms, and combining both approaches, the lab does research aimed at solving problems ranging from engineering to economics and management. The research page introduces topics such as the stable marriage problem, the simplex method, and railway timetable optimization.

Ikkyu Aihara, Associate Professor
0 student voices
Frog Lab studies a variety of animals, starting with frogs, by combining mathematics and experiments. The lab collects behavioral data through field surveys and laboratory experiments, then uses mathematical equations to model the mechanisms behind the phenomena. Its goal is to discover previously unknown behaviors of living organisms and apply them to engineering. The lab welcomes students who want to study animal behavior based on informatics and mathematical sciences, as well as students who want to learn informatics and mathematical sciences based on biology.
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