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610 labs · 150 student voices

Yusuke Shimoyama, Professor
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The Shimoyama Lab studies chemical processes that use carbon dioxide in a supercritical state. It takes advantage of three properties of supercritical CO2: its ability to dissolve substances well, to spread well, and to penetrate into narrow gaps. The lab produces pharmaceutical crystals, lipid nanoparticles, and materials that capture carbon dioxide from the air. It designs processes by combining computational prediction of phase equilibria with control of flow inside narrow channels.

Manabu Ihara, Professor
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The Ihara-Manzhos Lab studies the chemistry and engineering of energy conversion. Targeting electrochemical devices such as fuel cells, water electrolysis cells, and carbon-air secondary batteries, the lab covers everything from developing new materials and elucidating the mechanisms of reactions at electrodes to fabricating and evaluating devices. It develops data science methods and integrates them into an intelligent energy system called Ene-Swallow. Since 2021, a faculty member specializing in quantum chemical calculations and machine learning has joined, and the lab advances its research through both computation and experiment.

Teruoki Tago, Professor
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The Tago-Fujitsuka Lab studies the synthesis of functional materials, including solid catalysts, and the design of catalysts based on catalytic reaction engineering. To address environmental and energy problems, the lab develops new materials and carries out analyses grounded in physical chemistry. It also works on proposing and developing catalytic reaction processes that incorporate these materials. The two pillars are research on improving the efficiency of petrochemical processes and research on putting biomass-related materials to use.

Mikito Nanashima, Associate Professor
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The Nanashima Lab conducts research centered on computational complexity theory. This is a field that asks how far problems can be solved under limited computing resources. From there, the lab also takes up fundamental questions that connect to learning theory and cryptography. The lab was founded in May 2026.

Ryuichi Sakamoto, Associate Professor
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The Sakamoto Lab studies methods for connecting and intelligently operating a wide range of computers, from supercomputers and the cloud to embedded devices. It designs hardware such as accelerators and networks together with software such as operating systems and cloud platforms. Considering everything from compilers to algorithms as a whole, the lab aims for computing systems that are high-performance, highly reliable, and low in power consumption.

Jin Takahashi, Associate Professor
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The Takahashi Lab uses mathematical methods to study the singularities of solutions to partial differential equations involving diffusion. It is particularly interested in a class of equations known as nonlinear parabolic equations, which involve time evolution. The lab deals with cases in which solutions depart from ordinary behavior, such as blow-up solutions and singular solutions.

Satoshi Matsuura, Professor
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The Matsuura Lab studies, from a cybersecurity perspective, the technologies and countermeasures that organizations need in order to operate stably. A distinctive feature of the lab is that it covers a wide range of topics related to cybersecurity. Working with the front lines of security operations, the lab processes and analyzes large-scale data. It also takes on practical research themes such as incident response.

Ryohei Kobayashi, Associate Professor
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The Kobayashi Lab studies massively parallel computer systems and methods for solving real problems with them. At its center is high-performance computing using accelerators, beginning with GPUs. Because the power available to supercomputers is limited, improving energy efficiency has become an urgent issue. From system configuration and algorithms to execution scheduling, the lab builds mechanisms that draw out performance from both the hardware and software sides.

Ken'Ichiro Tanaka, Professor
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The Tanaka Lab studies numerical analysis and the computational methods used in science and engineering. The lab mathematically designs formulas that approximate functions well and formulas that compute integrals numerically. In doing so, it draws on ideas from optimization, for example using mathematical optimization to decide at which points to take the function's values. The lab's research also covers numerical computation for economics and finance, and verified numerical computation, which guarantees bounds on the error.

Miyoshi Naoto, Professor
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The Miyoshi Lab models and analyzes uncertain phenomena in everyday life using probability. From the models it builds, the lab draws out mathematical structures and essential properties, and examines what outcomes to expect. It is particularly interested in stochastic phenomena that arise in information and communications and in computer science. Its subjects include the placement of mobile phone base stations and queues, which work on the same principle as a line at a store checkout.
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