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1,223 labs · 43 student voices
Takeru Nose, Professor
1 student voices
The Biomolecular Chemistry Lab studies the design, synthesis, physical properties, and biological activity of molecules, using peptides and other biomolecules as subjects. The main substances it handles are amino acids, peptides, and proteins. The lab combines methods such as chemical synthesis, analysis of structural changes, enzyme activity measurement, enzyme inhibition experiments, receptor binding assays, and molecular modeling. Through methods such as chemical synthesis, three-dimensional structure analysis, activity measurement, computational science, and molecular biology, the lab explores how to create biomolecules with new structures and functions.
Junji Yamamoto, Professor
1 student voices
The Earth System Chemistry Lab analyzes the chemical and isotopic compositions of minerals and rocks to investigate how the Earth formed and how materials cycle on a global scale. Based on the idea that the Earth itself is the best record of the Earth, the lab focuses its research on rocks from the Earth. Its main target is the mantle. The lab collects mantle-derived magma itself, as well as mantle xenoliths, which are rocks carried up to the surface by magma as it rises, and extracts chemical information from them. Isotope ratios are an important clue to material cycling, so the lab not only measures them but also continues to take on the challenge of developing the measurement methods.
Haruki Tatsuta, Professor
1 student voices
The Ecological Science Lab conducts research grounded in evolutionary ecology, without being limited to particular study organisms. Ecology is a field that seeks to explain the evolution and diversity of life by examining adaptive strategies and interactions arising at different levels, such as individuals, populations, and communities, as well as changes in the distribution and abundance of organisms. While advancing basic research under keywords such as evolution, behavior, morphology, and phylogeny, the lab also tackles societal issues such as the conservation of rare species and the management of pests. Student research topics mainly deal with arthropods such as spiders and stink bugs.
Shunsuke Inenaga, Professor
0 student voices
The Stringology Lab uses the term "strings" for all kinds of sequentially arranged data, and studies the theory of algorithms that process them at extremely high speed and with minimal space. The targets include text, time series, numerical sequences, labeled trees and graphs, and two-dimensional arrays. By combining combinatorics on words, which explores the mathematical properties of strings, with state-of-the-art algorithms and data structures, the lab aims to process large-scale data efficiently. The lab's website notes that string-processing problems appear frequently in competitive programming as well, and are attracting attention.
Junichi Takeuchi, Senior Professor
0 student voices
The Mathematical Engineering Lab aims to clarify the mathematical form of a wide range of problems in computers and digital communications, and to derive universal solutions based on that understanding. Its research themes are basic theories such as learning theory, machine learning, information theory, information geometry, communication theory, network theory, and nonlinear systems theory, as well as their applications. Examples of applications include cyber attack detection on the Internet, super-resolution, pattern recognition, CDMA communications, and ultra-high-resolution analog-to-digital conversion. On the lab's website, the Takeuchi, Jitsumatsu, and Hanaka labs are introduced together under the name "Mathematical Engineering and Information Circuits Lab."
Yukiko Yamauchi, Professor
0 student voices
The Algorithm Theory Lab studies the theory of distributed algorithms, in particular distributed coordination of swarms of autonomous mobile robots and fault-tolerant distributed algorithms. On the lab's website, it is introduced under the name "Theoretical Computer Science Group (Yamauchi Lab)." Students' bachelor's and master's theses include titles dealing with gathering, search, and merging of robot swarms.
Koichi Sakurai, Professor
0 student voices
The Information Security & Multimedia Security Lab studies security technologies that protect society. Based on the concept of the "Internet of Things" (IoT), the lab considers that in a society where not only people but also things are connected to one another, an attacker taking control of the network could cause major damage. The lab is affiliated with the Department of Electrical Engineering and Computer Science in the School of Engineering, and the Department of Information Science and Technology in the Graduate School of Information Science and Electrical Engineering.
Kazunori Shidoji, Professor
0 student voices
The Cognitive Science Lab studies the relationship between people and technology using diverse psychological perspectives and experimental methods. In traffic settings, the lab uses tools such as driving simulators to investigate support for drivers and communication between automated vehicles and people. Human cognition and behavior in virtual reality spaces are also subjects of research. Education and research in traffic science are also carried out in the Department of Automotive Science at the Interdisciplinary Graduate School of Engineering Sciences.
Einoshin Suzuki, Professor
0 student voices
The Machine Learning, Data Mining, and AI Lab conducts research on machine learning, data mining, and AI. As one example, the lab uncovers human thought patterns and biases by studying "bad explanatory texts about data," a tricky kind of misinformation. The lab also works on recommendation systems that suggest products and other items, anomaly detection from images and video, and autonomous mobile robots. On the lab's website, it is presented under the name "Suzuki Lab."
Eiji Takimoto, Professor
0 student voices
The main research themes of the Machine Learning Theory Lab are online decision making, computational learning theory, and computational complexity. Based on the principles of the theory of computation, Prof. Takimoto conducts broad research on online decision making, learning theory, and computational complexity theory. Prof. Hatano works on computer science, particularly machine learning. In education, Prof. Hatano is in charge of the Information Science Course in the Department of Physics at the School of Science, the Department of Electrical Engineering and Computer Science at the School of Engineering, and the Department of Information Science and Technology at the Graduate School of Information Science and Electrical Engineering.
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