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451 labs · 365 student voices
Faculties at The University of Tokyo ›
Yoshinori Tokura, Distinguished Professor
Quantum & Condensed Matter1 student voices
The Tokura Lab studies strongly correlated electron systems, materials in which electrons strongly influence one another, and works to discover new electronic states in them. In these materials, electronic properties such as charge, spin, and orbital are strongly pronounced, giving rise to a wide range of phenomena including high-temperature superconductivity. Alongside studying solid-state physics and reviewing the literature, students carry out experimental research that includes synthesizing samples and measuring their physical properties.
Hiroki Ueda, Professor
Bio & Life Sciences1 student voices
The Systems Pharmacology Lab studies the behavior of living organisms as a whole, using the rhythm of sleep and wakefulness as a clue. The lab aims to understand "biological time," which links molecules, cells, individual organisms, and humans living in society. The lab has independently developed a method for rapidly generating mutant mice, a method for making organs transparent for observation, and methods for measuring human sleep. At the graduate level, students can join from either the Graduate School of Medicine or the Graduate School of Information Science and Technology.
Hideaki Ishii, Professor
Robotics & Control1 student voices
The Systems and Control Lab studies the theory of systems and control and its applications. It focuses in particular on the relationship between control and the theory of information and communication. The lab works on networked control systems and cyber-physical systems, in which agents spread over a wide area use communication to achieve complex control objectives. It tackles questions such as how to achieve high-performance control with a limited amount of communication, and how to ensure the security of control systems.
Hiroshi Saruwatari, Professor
Software & Computing1 student voices
The Saruwatari-Saito Lab studies signal processing and information processing for sound media such as speech, acoustics, and music. Focusing on the constraints imposed by where sounds are produced and the environments they travel through, as well as on the statistical properties of sound, the lab develops new statistical models and machine learning theory. Through this work, the lab aims to expand human abilities in processing sound information and to make engineering contributions to the creation of new art.
Taro Toyoizumi, Affiliated Professor
Bio & Life Sciences1 student voices
The Brain Mathematics and Information Collaboration Lab studies how the brain processes information by analyzing mathematical models in the field of computational neuroscience. The lab investigates the mechanisms by which neural circuits adapt to their environment and learn. It combines analytical techniques developed in statistical mechanics and information theory with computer simulation. The lab aims to understand the basic principles that neural networks need in order to function well.
Akiko Takeda, Professor
Software & Computing1 student voices
The Mathematical Planning and Informatics Lab studies a field called operations research (OR). OR is a scientific technique for solving real-world problems and supporting decision-making by building mathematical models and using computers to find solutions. In particular, the lab focuses on building models of problems as mathematical optimization problems and on developing algorithms to solve them. The lab works on solving such pain points in fields including structural design, energy systems, and machine learning.
Fumiyasu Komaki, Professor
Data Science & Statistics1 student voices
The Statistical Informatics Lab studies methods of statistical modeling from both theoretical and applied perspectives. Its theoretical pillars are statistical inference theory, Bayesian theory, statistical model selection, and information geometry. In collaboration with neuroscience researchers, the lab builds statistical models suited to analyzing neural spike data and EEG. It also pursues research on data assimilation, which integrates observational data and simulations of earthquakes and tsunamis.
Takayasu Matsuo, Professor
Software & Computing1 student voices
The Numerical Informatics Lab studies numerical methods for solving differential equations on computers. Problems in physics, chemistry, biology, finance, and other fields are often expressed as differential equations, and the challenge is how to discretize them and compute solutions. Since the 1990s, the lab has been developing "structure-preserving numerical methods," which retain even the physical and mathematical structure behind an equation. The lab also studies methods for approximating functions accurately, as tools that underpin numerical integration and the approximation of equations.
Tsuyoshi Takagi, Professor
Software & Computing1 student voices
The Cryptography and Mathematical Informatics Lab studies cryptographic theory and information security, which keep the information society secure. The security of public-key cryptography and digital signatures rests on the hardness of mathematical problems such as integer factorization and the shortest vector problem for lattices. The lab examines how secure those mathematical problems really are and considers how they affect cryptographic protocols and information security. The lab also works on security evaluation and efficient implementation of post-quantum cryptography, which is designed to resist attacks even by quantum computers.
Ichiro Daigo, Professor
Environment & Sustainability1 student voices
The Daigo Lab studies where the resources that society needs come from and where they go. The lab views industrial activity as a kind of "metabolism" that takes in and transforms materials and energy, and works to uncover how it operates. Focusing on materials such as steel, the lab designs recycling systems that take into account the variability of impurities mixed into scrap. Based on life cycle assessment (LCA), the lab also develops evaluation methods that look ahead to future technologies and societies.
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