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431 labs · 111 student voices
Hironori Kasahara, Professor
0 student voices
The Kasahara Lab studies parallelizing compilers and multicore processors. The lab develops an automatic parallelizing compiler called the "OSCAR compiler" and works on technology that automatically distributes a program across multiple cores so that it runs fast. The lab also conducts research on low power consumption and green computing, including compiler technology that automatically reduces power consumption. The lab also has applications in familiar devices in view, such as medical image processing and driver-assistance systems.
Keiji Kimura, Professor
0 student voices
The Kimura Lab studies multicore processors and automatic parallelizing compilers. The lab pursues ways to run "multicore" processors, which place multiple CPU "cores" on a single chip, with high performance and low power consumption. Jointly with the Kasahara Lab, the lab studies the "OSCAR compiler," which automatically distributes a program across cores, and the multicore processors suited to it. The lab also works on speeding up and reducing the power consumption of a variety of applications on multicores, such as scientific and technical computing and image recognition.
Edgar Simo-Serra, Professor
0 student voices
Simo-Serra Lab researches technologies in machine learning, computer vision, and computer graphics. The lab was established in October 2018 and has accepted students since April 2019. Each year, the lab accepts new students through lab assignment from the Department of Computer Science and Engineering and the Department of Communications and Computer Engineering.
Toshiharu Sugawara, Professor
0 student voices
The Sugawara Lab studies autonomous agents and multi-agent systems, a field within artificial intelligence. The lab builds mechanisms by which many programs (agents) connected over the Internet learn autonomously while cooperating and coordinating with one another. Beyond the learning of individual agents, the lab also works on theory and simulation-based validation aimed at improving the efficiency of the system as a whole.
Tachio Terauchi, Professor
0 student voices
The Terauchi Lab studies programming languages. Its main focus is program verification, which automatically checks whether a program behaves according to its specification, and program synthesis, which automatically generates a correct program from a specification. The lab also applies these techniques to security problems such as information leaks and timing attacks. It also works on the foundational theories that underpin them, including type systems, mathematical logic, and formal language theory.
Hironori Washizaki, Professor
0 student voices
Washizaki Lab researches how to build and operate reliable software. The lab covers many stages of software development, from requirements analysis and design to quality assurance and maintenance. In recent years, it has also worked on methods that support the development and operation of software using AI and machine learning. The lab also researches how to compile practical know-how from the field into pattern languages that anyone can use.
Tetsuji Ogawa, Professor
0 student voices
Ogawa Lab studies communication between humans and machines through speech and dialogue. The lab combines a wide range of technologies, including speech recognition, pattern recognition, and natural language processing. In recent years, it has also been studying technologies that express human experience and intuition in words based on data. The lab also conducts research on keeping systems built with pattern recognition and machine learning usable over the long term.
Hiroyuki Kasai, Professor
0 student voices
Kasai Lab studies the models of modern machine learning as objects of mathematical study. Beyond statistical learning theory, the lab seeks to clarify the representations and states inside models, as well as the mechanisms by which they generate outputs. The lab draws on a wide range of mathematical ideas, including geometry, probability theory, dynamical systems, and optimization. Another goal is to clarify where the limits of what models can do lie.
Jiro Katto, Professor
0 student voices
Katto Lab studies communication networks and multimedia technologies. Research is carried out in two groups: the Network Group and the Multimedia Group. Students' own preferences are respected when choosing research topics, so each student can pursue research that interests them. The lab works on a wide range of topics, including localization using point cloud data, video compression coding, and image recognition.
Wataru Kameyama, Professor
0 student voices
Kameyama Lab studies multimedia information distribution systems. The lab works on modeling how information spreads, extracting metadata from video and images, and content retrieval technologies. It also studies how to analyze people's preferences and emotions using biosignals such as gaze and EEG. Students come from many countries, including Japan, China, and Cambodia, and English is widely spoken in this international research environment.
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