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23 labs · 28 student voices
Other departments in Faculty of Engineering ›Faculties at The University of Tokyo ›
Ryoichi Horisaki, Professor
Imaging & Sensing3 student voices
The Information Photonics Lab studies the interdisciplinary field between optics and information science. The lab works on pioneering new optical systems and computing systems. The lab rests on two pillars: computational imaging, which aims to bring innovation to optics through information science, and AI photonics, which aims to bring innovation to information science through optics. The lab aims to design minimal, refined systems rooted in the essence of light and information.
Yamanishi Kenji, Professor
AI & Machine Learning3 student voices
The Learning Mathematical Informatics Lab studies how much knowledge computers can acquire from large amounts of data. On the theoretical side, the lab works on information-theoretic learning theory, which is based on information theory and statistics. On the practical side, it uses data mining to extract the knowledge buried deep in data, along with how that knowledge changes. The lab also works on applications to real-world data in fields such as healthcare, transportation, marketing, and education.
Masahiko Inami, Professor
Software & Computing2 student voices
The Embodied Informatics Lab studies technologies that support human physical ability, perception, and learning. Its work includes virtual reality (VR), wearable robots, and measurement and communication using terahertz waves. The lab is part of the Research Center for Advanced Science and Technology. It is based mainly at the Komaba Research Campus and also has a base at Hongo Campus. The lab accepts undergraduate students from the Department of Mathematical Engineering and Information Physics, and graduate students from the Graduate School of Information Science and Technology, the Graduate School of Interdisciplinary Information Studies, and the Graduate School of Engineering.
Hiroshi Nakamura, Professor
Software & Computing2 student voices
The Nakamura-Takase Lab studies computing that connects the physical world and the information world at an advanced level. Here, high quality refers to high performance, responsiveness, low power consumption, reliability, security, and similar attributes. Because these attributes trade off against one another, each system needs to be optimized individually. Targeting everything from edge devices such as sensors and robots to servers, the lab explores design methodologies that optimize systems through the coordination of circuit technology, architecture, and software.
Kaoru Amano, Professor
Bio & Life Sciences2 student voices
The Brain Information Measurement and Control Lab studies human visual perception and the brain mechanisms that integrate information from multiple senses. Using devices such as MRI and MEG, the lab measures brain activity from outside the head. The lab also focuses on developing methods to manipulate brain activity using TMS, tCS, and neurofeedback. The lab aims to identify the brain activity that actually gives rise to perception and behavior.
Hiroyuki Shinoda, Professor
Imaging & Sensing2 student voices
The Real-World Information Environment Lab studies haptics, which makes use of the human sense of touch. By introducing new physical phenomena and physical structures into systems, the lab aims to realize real-world information environments that go beyond conventional barriers. Starting from the hardware level, the lab proposes technologies for sensing humans, environments, and their interactions, as well as technologies that support people by acting on their senses. Alongside fundamental results based on novel ideas, the lab also treats the process by which those results come to be widely used as practical technologies as a research theme.
Yoshihiro Kanno, Professor
Data Science & Statistics2 student voices
The Mathematical Data Science Lab studies the theory of mathematical optimization and mathematical statistics, as well as their applications. In optimization, the lab applies theories such as convex optimization and duality to problems including structural design and contact mechanics. In statistics, the lab works on computational algebraic statistics and on statistical modeling of rare events and time series data. The lab also conducts empirical research that uses stochastic processes to analyze high-frequency stock market data and measure risk.
Hiroshi Kori, Professor
Bio & Life Sciences2 student voices
The Nonlinear Physics Lab studies complex dynamical systems found in nature, living organisms, and artificial systems. It describes the mechanisms that give rise to these phenomena with mathematical models that are as simple as possible, and uses them for understanding, prediction, control, and optimization. The lab's research is based on the theory of dynamical systems (differential equations) and stochastic processes, as well as numerical simulation. It collaborates with experimental researchers in engineering, biology, medicine, and chemistry, and aims to solve problems that society needs solved.
Satoru Iwata, Professor
Software & Computing2 student voices
The Computational Informatics Lab (Mathematical Informatics Lab 7) studies the theory of optimization, including discrete optimization. For problems whose solutions have a combinatorial structure, the lab aims to analyze that structure, develop efficient algorithms, and build frameworks that can treat such problems in a unified way. The lab also works on designing mechanisms that fairly aggregate people's preferences, and on network analysis of social and biological systems.
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.
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