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123 labs · 5 student voices
Faculties at University of Tsukuba ›
Koji Hasebe, Associate Professor
0 student voices
The Multi-Agent Systems Lab studies systems made up of multiple entities (agents) that make decisions while influencing one another. Examples include animal flocks, human societies, and autonomous decentralized computer systems. The lab aims to elucidate how order and equilibrium emerge from the behavior of individual agents, and to develop engineering applications of that understanding. Its research is distinctively interdisciplinary, combining mathematical logic, game theory, distributed algorithms, and distributed optimization.
Yoshihiro Oyama, Associate Professor
0 student voices
The System Security Lab studies the security of software systems. Computers around the world are exposed to threats from malicious software (malware) and attacks. So that people can use computers with confidence, the lab works on malware analysis, preventing attacks in IoT environments, and virtualization software technology. It is especially interested in technologies related to system software and malware analysis.
Akira Sato, Associate Professor
0 student voices
The Security and Software Lab studies how to observe and analyze networks and the Internet in order to contribute to safety and security in cyberspace. Just as we learn about our health in the physical world and take action based on it, the lab emphasizes understanding the state and environment of cyberspace and linking that understanding to countermeasures. The lab calls this approach “cyber health management.” In addition to network traffic, the lab collects and analyzes information on DNS, the Web, servers, and certificates.
Akihisa Ohya, Professor
0 student voices
The Intelligent Robotics Lab researches and develops technologies for robots that move autonomously and support human life. Using mobile robots as an example, robots that travel to a given destination indoors or outdoors and perform necessary tasks, the lab centers its work on the technologies that make this possible. The lab conducts its research from the standpoint of “experimental robotics,” advancing by repeating experiments in real environments. The “task-oriented approach,” in which the task and environment are first specified concretely and the necessary technologies are then identified and developed, is also one of the pillars of the lab’s methods.
Kazumasa Omote, Professor
0 student voices
The lab studies cybersecurity from two sides: network security and cryptography. Building on this work, it also studies the security of blockchains and crypto-assets. The lab analyzes real blockchain and crypto-asset data and investigates countermeasures against attacks that cause malware to be misclassified as benign files. On the lab's website, it is introduced under the name "Omote Lab."
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.
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