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123 labs · 5 student voices
Faculties at University of Tsukuba ›
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.
Hiromi Morita, Professor
0 student voices
The Perception and Cognitive Psychology Lab studies the characteristics and mechanisms of human cognition through psychological experiments. Research topics include the integration of visual features, visual working memory, and procedural memory. The lab also studies how information devices are used, looking for clues to presentation methods, such as scrolling displays, that let people obtain information efficiently. On the lab's website, it is introduced under the name “Morita Lab.”
Hiroko Terasawa, Associate Professor
0 student voices
The Human and Sound Informatics Lab conducts research in interdisciplinary fields centered on sound and music, including sound synthesis, cognition, emotion, and sound environments. Associate Professor Hiroko Terasawa conducts research on the cognition of timbre and music, analysis of the singing voice, and data sonification. Assistant Professor Nami Iino specializes in music informatics and knowledge representation, and conducts research on instrumental performance. Undergraduate thesis students join from the College of Media Arts, Science and Technology, and graduate students join from the Degree Programs in Informatics.
Hideo Joho, Professor
0 student voices
The Human Information Interaction Lab studies people's information behavior, in particular information seeking and searching. Grounded in an understanding of the cognitive and affective aspects of human beings, the lab proposes, develops, and evaluates new methods for accessing knowledge and information resources. The various factors that influence information behavior are studied within the framework of context. In recent years, the lab has also become interested in understanding and supporting information seeking and searching through collaborative work.
Atsushi Toshimori, Professor
0 student voices
Prof. Toshimori's lab analyzes people's behavior and attitudes when they choose information sources and evaluate information, using choice behavior models. There are many ways to obtain information: hearing it from other people, watching TV, reading newspapers, or searching online. Taking advantage of the fact that these models can be expressed in numbers, the lab aims to apply them as policy models that inform policy decisions about how information should be provided to benefit society.
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