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777 labs · 31 student voices
JUNQUEIRA SALDANHA MATHEUS HENRIQUE, Project Assistant Professor
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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
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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
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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
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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
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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.
Tetsuya Maeshiro, Professor
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Prof. Maeshiro's lab studies ways to make good use of computers and knowledge to elucidate phenomena in biology and medicine that are still poorly understood. Its research also covers ways of representing complex phenomena clearly and ways of explaining them to suit the audience. The lab views things in the world, including knowledge, as networks in which various elements are related to one another, and scientifically examines those relationships and the characteristics of the whole.
Fuyuki Yoshikane, Professor
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Prof. Yoshikane works on research that analyzes co-authorship relationships among researchers and on research that automatically extracts technical terms from text. The website presents the co-authorship analysis under the term "co-authorship network analysis" and the technical term extraction under the term "technical term variant recognition." The college's faculty introduction page also describes research on how research collaboration networks affect researchers' paper output. In addition, the lab is interested in problems that arise when building catalog databases of Chinese and Korean (Hangul) materials.
Haitao Yu, Associate Professor
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The Information Intelligence Lab (II-Research) studies the intersection of information retrieval, artificial intelligence, and human-centered computing. It aims to build intelligent systems that support access to useful information, reasoning grounded in reliable evidence, and better decision-making. Combining fundamental research with practical system development, the lab works on search and ranking, retrieval-augmented generation, multimodal learning, knowledge graphs, and more. The lab values rigorous evaluation, open collaboration, and research that considers both technical performance and societal impact.
Keita Tsuji, Associate Professor
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The Book Recommendation (Keita Tsuji) Lab studies what books are held in public and university libraries and how they are used. The lab has also studied a system that recommends university library books based on the Wikipedia article a user is reading. It has also investigated how the designated manager system, in which the operation of public libraries is entrusted to private companies and other organizations, affects library use. Currently, the lab is working on building a model in which public libraries and kodomo shokudo (community cafeterias for children) provide books to children from families living in poverty.
Junko Teruyama, Associate Professor
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The lab of Associate Professor Junko Teruyama studies the relationship between developmental disorders and communication from the standpoint of cultural anthropology and medical anthropology. Developmental disorders, including learning disabilities and high-functioning autism, are also called “communication disorders,” but the lab reexamines what specific conditions this actually refers to. Using qualitative research such as interviews, it investigates how such conditions relate to the common beliefs and customs found in society and culture. The research themes of the faculty member include disability, addiction, and communication.
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