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32 labs · 2 student voices
Other departments in College of Information Science ›Faculties at University of Tsukuba ›
Atsuyuki Morishima, Professor
0 student voices
The Fusion Intelligence Design Lab researches "fusion intelligence," which combines AI, humans, and big data. By combining billions of people accessible through the network with AI such as machine learning, the lab works on problems that could not be solved before. Led by students, the lab develops Crowd4U, a crowdsourcing platform, and conducts research using it. Students can choose their research theme in the way that suits them: taking over an existing project, being assigned a new one, or proposing their own.
Sangtae Kim, Professor
0 student voices
The Graphic Design Lab researches graphic methods based on visual communication. It focuses on why something looks beautiful, where its appeal lies, and what devices were used to express it. Combining art and design skills with cutting-edge technology, the lab produces content. Professor Sangtae Kim has a track record of joint projects with the fields of medicine, engineering, and art, as well as joint research with NTT.
Hiroko Terasawa, Associate Professor
0 student voices
The Human and Sound Informatics Lab researches interdisciplinary areas centered on sound and music, such as sound synthesis, cognition, emotion, and sound environments. Both research that analyzes music and sound themselves and research on the relationship between people and music and sound are carried out. The faculty study timbre, singing voice, hearing impairment and music, and instrument performance and knowledge representation. Students doing graduation research are accepted from the College of Media Arts, Science and Technology, and graduate students from the Degree Program in Informatics of the Graduate School of Comprehensive Human Sciences.
Yoichi Ochiai, Professor
0 student voices
The Digital Nature Lab conducts research with an eye toward the arrival of "Digital Nature" beyond ubiquitous computing. Digital Nature is a view of nature from the perspective of computer science, which treats everything, including both humans and computers, as computable, autonomous nature. Using the methods of computer science, the lab implements the options that computer applications create between the material world and the virtual world, and takes on problem solving in industry, academia, and the arts. On the lab's website, it is introduced under the name "Digital Nature Lab".
Mikio Yamamoto, Professor
0 student voices
The Natural Language Processing 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 volumes of text data such as patent documents and newspaper articles, and also studies applying these technologies to the web. Research topics differ from student to student, and members share each other's work through a weekly lab seminar and rotating presentations of English-language papers. On the lab's website, it is introduced as the natural language processing group of the Intelligent Informatics and Bioengineering Lab.
Ryuji Tokunaga, Professor
0 student voices
The Chaos Lab studies nonlinear problems with few degrees of freedom, centered on chaos, fractals, and bifurcation theory. Image compression and decompression are central to the lab's development of core technologies for computer amusement. The lab also works on technology for automatically generating 2D animation, which supports the creation of content made by users. Prof. Tokunaga's page also introduces products in which image compression technology, developed jointly with companies, was built into game software and other items.
Tohru Kawabe, Professor
0 student voices
The Applied Mathematical Systems Lab studies a wide range of systems mathematically, building on control theory, optimization theory, time series analysis, and machine learning. In its research, the lab considers the essential characteristics of the target system and aims for an appropriate model and problem formulation. Its goal is to build a unified theoretical framework for modeling and design toward robust cyber-physical systems, and to apply it to real systems. The lab seminar consists of individual meetings to check research progress and reading-group sessions on literature in systems control, optimization, signal processing, and related fields.
Yoshio Sano, Associate Professor
0 student voices
The Systems Mathematics Lab conducts a wide range of research on mathematical optimization and algorithms. An optimization algorithm is a procedure that takes a model expressing conditions and requirements as mathematical formulas as input and outputs the best answer. By devising models that can be processed efficiently and by designing new fast algorithms, the lab tackles problems ranging from engineering to economics and management.
Masako Kishida, Professor
0 student voices
The Mathematical Engineering Lab conducts theory-centered research in mathematical engineering fields such as control theory, optimization, machine learning, and applied mathematics. Current work covers technology that uses visual information for control and technology for analyzing data on networks. Research themes are decided through consultation, from topics in mathematical engineering that interest the student or are related to ongoing projects. Joint supervision with faculty at other universities is also available upon consultation.
JUNQUEIRA SALDANHA MATHEUS HENRIQUE, Project Assistant Professor
0 student voices
The Neural Sequence Modeling Lab studies complex data such as earthquake records and human language as sequence modeling problems. Using deep learning and sequence alignment methods, the lab treats everything from fault motion over several decades to the structure of language within the same framework. By combining mathematical theory with data science based on high-performance computing, the lab aims to build next-generation AI mechanisms that can extract causal relationships and predict future states. Students interested in machine learning, earth science, or computational linguistics are welcome, and can gain experience with the latest supercomputers, AI frameworks (PyTorch, Hugging Face), and open-source software development.
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