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29 labs · 8 student voices
Other departments in School of Engineering ›Faculties at Institute of Science Tokyo ›
Kenji Suzuki, Professor
0 student voices
The Suzuki Lab researches computer-aided diagnosis using medical images, and machine learning for image processing and image analysis. Its goal is to build AI that learns, from data and clinical cases, the skills physicians use to read images and make correct diagnoses. The lab works on research in which AI finds lesions in images to assist physicians' diagnosis, and research in which AI learns to identify organs as experienced physicians do. It is the Biomedical AI Research Unit of the Institute of Integrated Research, spanning computer engineering and the biomedical field.
Konstantinos Slavakis, Professor
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The Slavakis Lab studies signal processing and machine learning, focusing on the design of computational methods (numerical algorithms). The lab aims to extract and exploit the geometric structure underlying signals and data, in order to build signal processing and machine learning frameworks that are more flexible than before. Its applications span a wide range of fields, including reinforcement learning, medical imaging, brain networks, and quantum machine learning. Because a background in mathematics is important for the research, the lab welcomes visits and inquiries from students who are considering joining the lab or going on to its graduate program.
Tsuyoshi Isshiki, Professor
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The Isshiki Lab researches design methods for application-specific processors and for the SoCs (systems on chip) that incorporate them. The lab develops C2RTL, a CAD tool that automatically generates circuit descriptions (RTL) from the processing flow written in C/C++. It aims to build a foundation that lets people design hardware as flexibly and readably as software. In addition, the lab works on circuit design tailored to specific uses, such as arithmetic circuits for deep learning, information security, and biometric authentication.
Yoshihiro Watanabe, Associate Professor
0 student voices
The Watanabe Lab researches augmenting reality through advanced visual sensing. The key is speed that exceeds human perception. The lab works on projection mapping that captures and controls instants invisible to the eye, overlaying images precisely onto moving objects. It also develops high-speed projectors and 3D measurement devices.
Takehiro Nagai, Associate Professor
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The Nagai Lab studies information processing in human vision. The world that humans see is not the external world itself, but one that has been processed by the brain and nervous system. Using psychophysical experiments, EEG measurement, and eye movement measurement, the lab investigates the mechanisms that process material perception, color, and kansei (affective response), which are directly involved in object recognition. The lab also explores why human eyes still play a major role in checking quality, material appearance, and flaws, and what mechanisms lie behind that.
Fukawa Kazuhiko, Professor
0 student voices
The Fukawa Lab studies modulation/demodulation and networking technologies for realizing fast, reliable next-generation wireless communications. In recent years, the lab has focused on applying machine learning to mobile communications. The proposed methods are evaluated mainly through computer simulations. Lab visits are accepted at any time.
Shoichi Hasegawa, Associate Professor
0 student voices
The Hasegawa Lab studies virtual reality, augmented reality, and human interfaces. It aims to contribute to creating information environments in which people can live naturally, enjoyably, and creatively. The goal is not to simulate reality as it is, but to modify reality to create better environments. The lab specializes in building computational simulation models of humans and the real world, and in interfaces that take force and tactile sensation into account.
Yasuharu Koike, Professor
0 student voices
Koike Lab studies human motor control, sensory integration, measurement of brain activity, and data analysis that links medicine and engineering. The lab aims to understand the functions of the human brain and to reproduce them on computers by imitating the methods the brain uses. From an early stage, the lab has developed musculoskeletal models that can estimate muscle tension, joint angles, and more from electromyograms, and has applied them to controlling robots such as prosthetic hands. Research topics include VR and pseudo-haptics, electromyography and muscle synergies, analysis of electroencephalograms and brain activity, and analysis of medical and nursing care data.
Takahiro Shinozaki, Professor
0 student voices
Shinozaki Lab studies speech information processing and machine learning, with a focus on speech recognition. From an engineering perspective, the lab aims to uncover how humans recognize, understand, and learn speech, and to realize those abilities on computers. Rather than relying only on speech data with correct labels, the lab works on technologies that learn on their own through unsupervised learning and reinforcement learning. The basic knowledge mainly needed for the research is mathematics and programming.
Masahiro Yamaguchi, Professor
0 student voices
The Yamaguchi Lab builds on light and image processing technology to study spectral imaging, color reproduction, medical imaging, holography, and more. Its themes are imaging systems that faithfully reproduce the color and texture of real objects, and image analysis technology for quantitative pathological diagnosis. The lab is also advancing research on 3D displays that use holography to project three-dimensional images into space. The lab is run jointly by Professor Yamaguchi and Assistant Professor Takeyama.
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