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777 labs · 31 student voices
Keisuke Kameyama, Professor
0 student voices
The Adaptive Information Processing Lab studies information processing methods that change algorithms and models by adapting to the environment and circumstances. Living organisms, including humans, can solve problems through repeated trial and error while using limited information processing resources. Regarding this process as "adaptive information processing," the lab proposes adaptive algorithms for pattern recognition, signal and image processing, and search, based on theories of learning, optimization, and signal processing. The lab conducts research aimed at solving real-world problems.
Takeshi Yamada, Professor
0 student voices
The Multimedia Lab studies media information processing with a focus on sound. Recent research topics are speech emotion recognition, acoustic environment understanding, multichannel sound source enhancement, and applications of these component technologies. The lab holds a weekly lab seminar attended by all lab members, where they report research results and rehearse conference presentations. The lab has a student room and an anechoic chamber, and members can use compute servers, GPU servers, and various acoustic equipment.
Hotaka Takizawa, Professor
0 student voices
The Intelligent Image Processing Lab conducts research aimed at enabling computers to see things as humans do and understand what they are. The lab develops theories and algorithms for recognizing and understanding scenes and objects in digital images, and also develops programs that implement them. Students are divided into groups for medical image processing, support for visually impaired people, and material image analysis, and each proceeds with research at their own pace. About once a week, there are sessions to report research progress, and also opportunities to explain English-language papers to one another.
Kazuhiro Fukui, Professor
0 student voices
The Computer Vision Lab studies computer vision and machine learning (AI, deep learning) and develops methods for computers to recognize and generate the visual world. The lab handles all kinds of AI-related themes, from theoretical research using subspace methods to applications in image generation and editing. It also actively studies cutting-edge technologies such as LLMs, VLMs, and diffusion models. Depending on the problem setting, students can also bring in hobby-related themes such as soccer, music, and fashion.
Jun Mitani, Professor
0 student voices
The Computational Geometry and Graphics Lab conducts research on diverse subjects such as people, terrain, and fonts, centered on computer graphics (CG) and image processing. The lab works on technologies for editing and generating clothing, age, pose, body shape, makeup, and more in images of people, as well as on generating and editing terrain landscapes using weather satellite data. It also pursues research that deals with the subjective evaluation of beauty, such as image editing that improves the aesthetics (how good a photo looks) of photographs. The lab actively encourages presenting research outside the university, and supports undergraduates in learning through conference presentations in Japan and graduate students through conference presentations abroad.
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."
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