SAWADA Kazuaki

The Integrated Circuit Group (ICG) at Toyohashi University of Technology deals with the study of integrated circuits (ICs) and sensor devices using new materials and structures. Our ultimate goal is to realize high-performance integrated

NAKAUCHI Shigeki

We can see and recognize things, and act without feeling any difficulties. Our mission is to explore visual function and the mechanisms of the brain which allow us to do so, and to develop new technology, including color universal design, spectral imaging, for visual information processing based on the fundamental vision research.

SHIBATA Takayuki

Establishment of interdisciplinary Monodzukuri (manufacturing) basic technology in micro- and nano-scale. Novel micro- and nano-structuring techniques for manufacturing MEMS/NEMS devices, and MEMS-based platform for in vitro manipulation and analysis of living cells for supporting the creation of innovation in life science and biotechnology.

TAKAYAMA Kotaro

Advanced Agricultural Engineering Laboratory is focusing on the development of sensor-based plant diagnosis techniques (Chlorophyll fluorescence imaging, volatile organic compound measurement,photosynthesis and transpiration measurement etc.) for agricultural production under environmental control such as intelligent greenhouse and plant factory.

TANAKA Saburo

Development of High-Tc Superconducting Quantum Interference Device and its applications, such as Low-Field NMR/MRI, Nondestructive Evaluation and Bio-Sensing are implemented.

KAWANO Takeshi

Our research focuses on new science and technology of nano/micro-scale approaches for tackling challenging and interesting problems of “Connecting electronics to the brain”, which involves the development of high biocompatible neural interface devices and the high-quality signal recording from neurons.

NUMANO Rika

Our group propose medical innovation mainly in neuronal science by interdisciplinary research using original technique. An original DNA transfection method into cells, droplet electroporation, was developed . This technique can contribute to biomedical innovation in mass-production of iPS cells for regenerative medicine, genome editing for gene therapy. The long-term stable measurement can be succeeded in the brain activity of disease model mice by implanted TOYOHASHI electrophysiological micro probe. We are going to apply it to a drug screening in medicine., functional analysis of circadian rhythms or chrono pharmacology.

NAGAI Moeto

I am working on scaling up tasks on the micro-and nano-scale. In particular, cell therapy and drug discovery require the processing of single cells in large quantities. Micro/nano-devices, mechatronics, and information science are integrated to realize high-throughput cell processing.

TAKAHASHI Kazuhiro

MATSUMOTO Yukihiro

Research and development of FRP (fiber reinforced plastic) material applications for construction use are implemented. Strength and damage sensing of the adhesive bonding and mechanical joints, unbonded strengthening methodology, and long-term mechanical behavior of FRP structures are also investigated.

MATSUI Toshie

We read the speaker’s intentions from the voice, judge the situation by the environmental sound, and move to the music. We aim to reveal how such a reaction to sound occurs from the input to the auditory periphery. We are also working on a “universal design of sound” that supports various hearing levels.

KAKIUCHI Yohei

NAKABACHI Atsuchi

Our research interests focus on the molecular basis for the symbiosis between multicellular organisms and microbes, which has not only been playing key roles in evolutionary history of life, but is also important for agricultural and medical biotechnologies.

KOIDA Kowa

Our research goal is to understand neural basis of visual functions. We use macaques and mice as model animals and measure neuronal activities through electrophysiological recordings. Development of innovative electrodes is also carried out.

NODA Toshihiko

Our research interest is multimodal sensors based on CMOS/MEMS technology. We aim to apply our sensing approach, which combines CMOS-based sensor technology with deep learning, to biomedical, agricultural, and environmental measurement fields.