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1,294 labs · 617 student voices
Takuo Tanemura, Professor
Semiconductors & Electronic Devices2 student voices
Tanemura Lab studies integrated photonics and nanophotonics, which bring optical components together on semiconductor chips only a few millimeters square. The lab builds structures smaller than the wavelength of light, along with large numbers of optical elements, at high density on a small chip. Taking advantage of features unique to light, such as very wide bandwidth and high parallelism, the lab creates optoelectronic devices that leave complex control and digital computation to electronic circuits. The lab aims at applications in a wide range of fields, including next-generation optical communications, sensing, and computing.
Yasunobu Nakamura, Professor
Quantum & Condensed Matter2 student voices
The Nakamura Lab approaches quantum information science, which aims at new information processing, communication, and high-precision measurement based on the principles of quantum mechanics, from both physics and engineering perspectives. At the core of its work is research on operating electrical circuits made of superconductors at extremely low temperatures, and controlling and observing them as qubits. Using these superconducting quantum circuits as a tool, the lab is also working on manipulating the quantum states of other physical systems, such as the vibrations of nanomechanical devices and magnons in ferromagnets.
Tatsuo Hasegawa, Professor
Semiconductors & Electronic Devices2 student voices
The Hasegawa Lab studies the properties of materials made of molecules, such as organic semiconductors and molecular ferroelectrics, and how to use them in devices. Aiming at flexible electronics, the lab develops foundational technologies for turning organic semiconductors, organic conductors, and ferroelectrics into devices by printing. The lab aims to control the complex structures that form when molecules self-assemble, and to bring out both the properties unique to molecular materials and new device functions.
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.
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