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1,223 labs · 43 student voices
Makoto Yokoo, Project Professor
0 student voices
The Multi-Agent Lab studies multi-agent systems, in which multiple intelligent entities (agents) exist. The lab focuses on systems like the Internet, where humans and agents (software) coexist, and describes problems such as lab assignment and e-commerce within the frameworks of game theory and microeconomics. Using techniques from algorithms and optimization, the lab designs and analyzes systems and social institutions.
Yoichi Tomiura, Professor
0 student voices
The Natural Language Processing Lab studies techniques for processing text in languages such as Japanese and English by computer. The lab studies the classification of sentences and documents based on parameter estimation of statistical language models, and the estimation of similarity between sentences and between documents using deep learning. Using models similar to statistical language models, the lab also works on the analysis of odor information.
Yoshihiro Okada, Professor
0 student voices
The 3D Multimedia Content Lab studies how to support the development of application software that uses 3D graphics. From the perspective of software architecture, the lab investigates how software components should be connected to reduce development costs. Recently, the lab has also been doing research and development on development support environments for video games, educational content, data presentation technology for museums, and applied systems of virtual reality (VR). On the lab's website, it is introduced under the name "Yoshihiro Okada Lab."
Danilo Vasconcelos Vargas, Associate Professor
0 student voices
The Intelligent Systems Lab develops next-generation artificial intelligence with robustness and adaptability. Today's state-of-the-art AI cannot play 9x9 Go even after learning 19x19 Go, and its image recognition can be fooled by changing just one pixel. The lab therefore aims to improve robustness and adaptability by developing new mechanisms and paradigms of intelligence. Lab members can use state-of-the-art CPU and GPU servers.
Hiroto Saigo, Associate Professor
0 student voices
The Statistical Learning Lab researches the development of methods for analyzing biological data. Its main tools are statistics, optimization, and data mining. Besides methods for predicting protein function and compound activity, the lab also develops machine learning methods for the manufacturing sector. The lab cannot provide guidance on wet-lab experiments, but it can provide guidance on data analysis.
Takeaki Yajima, Associate Professor
0 student voices
The Constructive Electronics Lab aims to extract useful technologies from biological neural circuits and apply them to next-generation information-processing hardware. The Yajima Group covers materials, devices, and circuits, while the Kawakami Group covers circuits, architecture, and computational principles, and the two groups carry out research in collaboration. The Yajima Group studies materials that show phase transitions and devices that use protons, and the Kawakami Group studies computers built from new optical and superconducting devices. On the lab's website, the lab is also introduced under the name "Yajima-Kawakami Lab."
Ryo Takigawa, Professor
0 student voices
The Nano-Micro Packaging Lab studies packaging of optical and electronic devices, centered on room-temperature bonding technology that joins dissimilar materials without solder or adhesive. The lab aims to create ultra-compact, highly functional, low-power sensors, information and communication systems, and AI devices that will underpin the future of IoT and AI. The lab is committed to active collaboration with research institutions and companies in Japan and abroad, and also collaborates in some areas with the Kanaya Lab and Kato Lab in the same division. On the lab's website, the lab is also introduced under the name "Takigawa Lab."
Atsushi Shimada, Professor
0 student voices
The Image and Media Understanding Lab conducts research on the analysis and use of learning and educational data, time-series data analysis, and image and media understanding. Through data analysis and AI technology, the lab aims to create new methods that contribute to understanding and supporting people and society. In learning analytics, the lab studies methods that analyze learning records to help instructors improve their teaching and help learners reflect on their learning. To join the lab as a master's student, you take the entrance examination for the Department of Information Science and Technology, Graduate School of Information Science and Electrical Engineering.
Yasutaka Kamei, Professor
0 student voices
POSL (the Software Engineering and Programming Languages Lab) conducts research in software engineering. Specifically, the lab works on research to automate the software development process and on software repository mining. The lab covers a wide range of high-profile topics in the software field and actively collaborates with researchers overseas. On the lab's website, the lab is introduced under the names "POSL" and "Kamei Lab."
Tsunenori Mine, Associate Professor
0 student voices
The Intelligent Information Environment Lab uses machine learning and deep learning to extract meaning and patterns from real-world data, and applies them to recommendation and other tasks. The lab mainly handles real data such as learners' reflection texts, bus travel records, and product reviews. On the lab's website, the lab is introduced as "Mine Lab," and it operates together with Arakawa Lab and Fukushima Lab as the Human Information Systems Research Group.
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