Research Profiles

JP

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[Atomization technology]

Combustion and Atomization Technology in High-Pressure Gas Turbine Conditions

 
 
 
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特徴・独自性
  • Combustion is a complex phenomenon composed of multi-dimensional dynamics of temperature, concentration, velocity, and chemical reactions. Advanced combustion technologies are essential for solving the environmental and energy issues. Our laboratory has a high-pressure combustion test facility which is a unique experimental facility in the world. Research projects have originality, especially in the field of high-pressure combustion and laser diagnostics, and focus on not only aerospace engineering and energy engineering including new fuel technology but also atomization technology and safety operations of chemical plants mostly operated at high pressure.
実用化イメージ

Potential collaborations are in the research fields of aerospace propulsions, automobile engines, power generations and chemical plants, in terms of development of gas turbine combustors for various fuels, generation and control of fuel atomizers, laser diagnostics of combustion and safety design of chemical reactors.

Researchers

Institute of Fluid Science

Hideaki Kobayashi

[Attosecond Physics]

newFirst-Principles Simulations of Laser-Induced Electron and Atomic Dynamics

概要

When light, such as a laser, is irradiated onto matter, the dynamics of atoms and electrons within the material are driven. We have been studying these driven atomic and electronic dynamics using microscopic simulations based on quantum mechanics. Furthermore, through these simulation approaches, we are also studying the microscopic physical processes underlying light-induced phenomena.

従来技術との比較

In conventional materials science calculations, first-principles simulations based on density functional theory have been widely used to study the equilibrium properties of matter. However, such equilibrium approaches are not well suited to capturing the dynamics driven by light within materials. Our research method employs time-dependent density functional theory, which can handle material dynamics, thereby going beyond equilibrium descriptions and enabling precise analysis of nonequilibrium phenomena, nonlinear effects, and ultrafast processes driven by light.

特徴・独自性
  • * First-principles calculations for optical science
  • * Real-time simulations of nonequilibrium dynamics of electrons and atoms
  • * Clarifying microscopic mechanisms behind macroscopic phenomena induced by light
実用化イメージ

We are developing theoretical and computational methods to accurately describe the nonlinear and nonequilibrium dynamics of atoms and electrons driven by light. We are also conducting research aimed at creating new science and technology based on light-driven phenomena. We hope that our research will contribute to the social implementation of new scientific and technological advances.

Researchers

Graduate School of Science

Shunsuke Sato

[Autoimmune disease]

Development of Recombinant Inbred Mice with a Genetic Predisposition to Collagen Disease

 
 
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特徴・独自性
  • Eleven strains of recombinant inbred (RI) mice derived from MRL/lpr and C3H/lpr mice were established. This RI is the only one in the world that randomly develops lesions such as nephritis, arthritis, sialadenitis, vasculitis, and production of autoantibodies in each strain. The genomes of the two strains of mice are randomly held in homozygous condition, and the phenotypes of each strain and the effects of administered drugs could be compared based on their genotype maps. It is possible to identify the regions of gene loci involved in the phenotype and drug sensitivity.
実用化イメージ

Development of diagnostic and therapeutic agents for autoimmune diseases. It can be applied to the elucidation of the mechanism of onset of immunological adverse events caused by immune checkpoint inhibitors and the development of drugs to prevent the onset of such events, and industry-academia collaboration with pharmaceutical companies, test reagent companies, etc. is possible.

Researchers

Graduate School of Biomedical Engineering

Tetsuya Kodama

[automobile recycling]

Developing plastic waste sorter using Terahertz waves and social implementation of sustainable recycling technology

 
 
 
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概要

This research utilizes the characteristics of terahertz waves, used in next-generation communications and autonomous driving, to identify the materials of plastic waste. It improves existing recycling technologies and can be applied to evaluate the quality of recycled plastics, ensuring stable production of high-quality recycled plastics. It enables easy development of devices to solve various issues in containers and packaging and automobile recycling, contributing to the realization of decarbonization and a circular economy.

従来技術との比較

Conventional plastic waste identification and sorting technologies use specific gravity sorting or near-infrared devices. Particularly, near-infrared sorting technology has accumulated an enormous amount of data and serves as the primary sorting technology in plastic recycling plants. However, near-infrared devices struggle with identifying black plastics, additives, and degradation. This technology uses terahertz waves to measure and evaluate transmission and absorption characteristics, allowing for identification of black plastics, additives, and degradation.

特徴・独自性
  • In recent years, there has been increasing global attention on plastic waste issues, such as marine pollution from drifting garbage and microplastics, the overseas export of plastic waste resources, and the increase in disposable containers like plastic bags and straws, especially due to the impact of COVID-19. There is growing demand for advanced identification and recycling of plastic waste materials, especially in the context of achieving the Sustainable Development Goals (SDGs) and realizing a circular economy.
  • The research group from Tohoku University, Shibaura Institute of Technology, and Shizuoka University has conducted research on the commercialization of advanced sorting devices for plastic packaging waste. We have successfully identified mixed plastics containing black plastics, additives, and flame retardants, which were difficult to identify with existing devices, by utilizing the characteristics of terahertz waves. We have also confirmed the ability of terahertz waves in assessing degradation caused by UV or long-term use. Furthermore, the method has been shown to be effective for distinguishing bioplastics, which is expected to see increasing demand in the future, in addition to plastic waste from container packaging, automobiles, and home appliances.
  • These identification technologies can be applied to properly sort plastic waste generated by the “The Plastic Resource Circulation Act,” enacted in 2022, contributing greatly to securing high-quality recycled resources through plastic waste resource recycling.
  • Our research group conducts interdisciplinary research with experts in various fields: social engineering, resource circulation (Professor Jeongsoo YU), optical engineering (Professor Tadao TANABE of Shibaura Institute of Technology and Professor Tetsuo SASAKI of Shizuoka University), information science and big data analysis (Associate Professor Kazuaki OKUBO), data collection and analysis, international cooperation (Specially Appointed Lecturer Gaku MANAGO), social experiments, and behavioral economics (Assistant Professor Xiaoyue LIU). We address the needs from social, economic, and environmental issues both domestically and internationally, working from diverse perspectives to solve challenges and contribute to the creation of a sustainable society. Collaboration and networking with private companies, government agencies, research institutions, and civic organizations are also expected.
実用化イメージ

This technology can be applied to the development of plastic waste identification and sorting devices from processes such as containers and packaging recycling, automobile recycling, and home appliance recycling, as well as the production and quality evaluation of recycled plastics.

Researchers

Graduate School of International Cultural Studies

Jeongsoo Yu

[autonomic nervous system]

The Novel Ultrasound Irradiation Device

 
 
 
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特徴・独自性
  • Dr. Katsunori Nonogaki has developed the novel ultrasound irradiation device, which can improve the autonomic nervous system activity and peripheral circulation. In addition, the ultrasoud device can improve hypertension and hyperglycemia within 20 min in subjects with drug-resistant hypertension and diabetes. Our initial device was approved in Japan (226AIBZX00028000). This device will be avaliable for the treatment of 1) muscle pain, 2) the autonomic neural dysfunction and stress-related disorders, 3) hypertention, and 4) diabetes. Moreover, the device will be usefull for your healthy life and aging care.
実用化イメージ

Our aims are to export the device internationally. We seek the investment and international business partners.

Researchers

Research Center for Accelerator and Radioisotope Science

Katsunori Nonogaki

[Autonomous Control]

Research and Development of Space Exploration Robots

 
 
 
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特徴・独自性
  • We study and develop mobile robotics technology for lunar and planetary exploration. Our technology is featured by rich experience in locomotion mechanisms for highly rough terrain and advanced slippage control in loose soil environment. Also by 3D map building technology using a laser scanner for autonomous collision avoidance and for operator assistance in remote control/tele-operation. We also contributed to the design and development of Hayabusa and Hayabusa-2, which are sample-return probes developed and operated by Japanese space agency JAXA.
実用化イメージ

These technologies are also applied to terrestrial robots for such as surveillance or disaster response.

Researchers

Graduate School of Engineering

Kazuya Yoshida

[Autonomous Decentralized System]

Understanding Biological Control Systems and its Application to Development of Life-Like Resilient Systems

 
 
 
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特徴・独自性
  • In contrast to artificial systems, living organisms exhibit astoundingly adaptive and resilient properties. One of the central research goals in our laboratory is to endow artificial systems with similar properties. To this end, we are particularly focusing on the concept of autonomous decentralized control. We have so far successfully developed various types of robots on the basis of decentralized control, including amoeboid robots, snake-like robots, legged robots etc., in collaboration with mathematicians and biologists.
実用化イメージ

Development of adaptive autonomous robotic system, Control of Large D.O.F. system

Researchers

Research Institute of Electrical Communication

Akio Ishiguro

[Autonomous Mobile Robot]

Robot Technology for Achieving Secure Society

 
 
 
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特徴・独自性
  • Tadokoro Laboratory developed ‘Active Scope Camera,' a world-unique rescue robot that can search deep in rubble piles of collapsed structures through a gap of a few cm wide. It also developed ‘Quince,' a world-unique unmanned ground vehicle that could survey the second to fifth floors of Nuclear Reactor Buildings of Fukushima-Daiichi Nuclear Power Plant. Its technologies was applied industries, including unmanned transfer vehicle for outdoors under ice and snow environment being actually used in a factory of Toyota Motor East Japan, and ‘Robo-Scope' for debris inspection in collaboration with Shimizu Corporation.
実用化イメージ

We have a policy of education through and research for solution to actual problems. Current nearly ten collaborative researches focuses on outdoor investigation, infrastructure/plant inspection, and remote/autonomous task execution by robots.

Researchers

Tough Cyberphysical AI Research Center

Satoshi Tadokoro

 B

[BABHY]

Development of the method of Baby Borehole Hydraulic Fracturing, BABHY

特徴・独自性
  • For the effective measurement of the reopening pressure in hydraulic fracturing, it is necessary to use the testing equipment with sufficiently small compliance. This limitation makes it difficult to apply the hydraulic fracturing for the measurement of the maximum stress, because the compliance of conventional equipments is generally so large. Taking account of this situation, we proposed a new concept which allows us to do the in-situ tests of hydraulic fracturing for stress measurement at so deep depths as more than 1 km. We call the concept the Baby Borehole Hydrofracturing, BABHY for short. In order to put the new concept into practice, we developed the BABHY sonde and finally we succeeded to carry out hydraulic fracturing test by using the tools in a vertical borehole of 811 m depth. We hope to conduct collaborative research with a willing company for a practical application of this technology in industry.
実用化イメージ

Researchers

Institute of Fluid Science

Takatoshi Ito

[Bacteria-induced deterioration]

Oral Biofilm Functional Analysis: from “What Are They?" to “What Are They Doing?"

 
 
 
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特徴・独自性
  • A large number of microorganisms inhabit the oral cavity, such as the teeth, gingiva and tongue, in the form of oral biofilm. The oral cavity forms an ecosystem where the host (humans) and parasites (microorganisms) coexist. Disruption of the balance of this oral ecosystem leads to dental caries, periodontal diseases and oral malodor, and even deterioration of dental materials.
  • Using leading-edge techniques of anaerobic experimental systems including original and unique devices, as well as the notion of "omics" such as metagenomics and metabolomics, we conduct research on oral biofilm functions. Knowledge of oral biofilms, from "what are they?" to "what are they doing?", enables us to address their control, that is, prevention of and therapy for oral biofilm-associated diseases.
実用化イメージ

Risk assessment of oral biofilm-associated diseases, such as dental caries, periodontal disease, oral malodor and aspiration pneumonia
Effects of medicine and food ingredients on oral biofilm function
Evaluation of biofilm-mediated material deterioration

Researchers

Graduate School of Dentistry

Nobuhiro Takahashi

[barley]

Methods to Restore Strelity of Gramineous Plants under High- and Low-Temperature Stress Conditions

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特徴・独自性
  • Plant reproductive development is more sensitive than vegetative growth to many environmental stresses. High-temperature injury is becoming an increasingly serious problem due to recent global warming. In wheat, barley, and other crops, the early phase of anther development is most susceptible to high temperature. Oppositely, grain yields in rice plants are often reduced by exposure to low temperature. Unexpected climate change, such as abnormally hot or cool summer temperatures, have occurred repeatedly during recent years. This method indicates that an appropriate use of specific phytohormones, such as auxin and GA, may promote stress tolerance and adaptation to abiotic stresses.
実用化イメージ

These potentially novel functions of the classical phytohormones will be important sustainable agriculture in the face of global climate change.

Researchers

Graduate School of Life Sciences

Atsushi Higashitani

[barometric sensor]

Assessment of Physical Activities Using Wearable Sensors

 
 
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特徴・独自性
  • Maintaining appropriate amount of physical activity is essential for health and disease prevention. Gait is the most common type of physical activity in everyday life. Monitoring the amount of physical activity in everyday lives may benefit mainly those who are at threat of metabolic syndrome and overweight. Towards better estimation of the amount of physical activity utilizing wearable sensors, we focused on taking running and walking economy into account. The relationship between step length and oxygen uptake was first determined. Step length estimation with moderate accuracy was accomplished using acceleration signals during walking. Step length was then taken into energy expenditure calculation as one of the variables.
実用化イメージ

Together with the basic version of the current locomotion monitoring system capable of counting staircase climbing up & down, we managed to upgrade our locomotion monitoring system into 3 dimensional.

Researchers

Head Office of Enterprise Partnerships

Ryoichi Nagatomi

[Basal metabolic rates]

Development of New Drugs and Devices Regulating Inter-Organ Neural Network for Obesity Therapy

 
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特徴・独自性
  • Obesity induced the metabolic syndrome, which causes cardiovascular diseases. Obesity has now become a major health concern not only in developed countries but developing countries. However, diet and exercise are still major therapies. We discovered endogenous systems maintaining homeostasis of energy metabolism and revealed several neuronal networks among organs to be responsible for the regulation systems.
  • 1) Afferent neuronal signals from adipose tissue regulate appetite and prevent over-eating during obesity development (Cell Metab 2006)
  • 2) Neuronal network from the liver enhances basal metabolic rates to prevent obesity development when energy store is increasing (Science 2006) 3) Neuronal network from the liver suppresses adaptive thermogenesis in brown adipose tissue (Cell Metab 2012).
実用化イメージ

On the basis of these original discoveries, we are aiming at developing new drugs and/or building devices which regulate the inter-organ neuronal networks and hope to conduct collaborative research with a willing company for a practical application to obesity therapy.

Researchers

Graduate School of Medicine

Hideki Katagiri

[battery]

“HYDRIDE" Researches for Energy Applications

 
 
 
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特徴・独自性
  • This group is engaged in basic and applied researches of "hydrides" for practical use in hydrogen energy system. The main subject is the exploration of advanced hydrogen storage materials which support hydrogen energy technologies such as fuel cells. Currently, we synthesize a wide variety of novel hydrides composed of lightweight metals with specific nano-structures using advanced techniques for crystal and electronic structure analyses. In addition to the hydrogen storage, we develop the wide research fields related to hydrides, such as fast lithium ionic conductors.
実用化イメージ

Besides the contributions in industrial progress through the material development for future hydrogen energy system and next-generation secondary battery, we positively provide technical assistance to organizations and companies concerned about our findings.

Researchers

Advanced Institute for Materials Research

Shin-Ichi Orimo

[Bayes Modeling]

Data Analytics for Creation of Social Values

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特徴・独自性
  • My research field is a data analytics for creation of social values by data science approaches. In modern society, we can observe various data sets about our daily life, business or community. I aim to create new services for it using such data set and methods of Bayesian modeling, data mining or machine learning.
実用化イメージ

Researchers

Graduate School of Economics and Management

Tsukasa Ishigaki

[Bayesian Optimization]

Optimizing everything / Optimal Society

 
 
 
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特徴・独自性
  • Aiming at developing practical quantum optimization technology known as quantum annealing, we are working on exploring basic technologies that can overcome the limitations and applications in collaboration with multiple companies. The advantage of the method is that it can be used simply by formulating a cost function that draws the goal to be optimized once, but we are not limited to the original method. We extend it by considering a much easier problem, sequential optimization by learning, black box optimization, etc.. In particular, it is being applied to automated driving, logistics in factories, and evacuation guidance during disasters.
実用化イメージ

Applications to route search problems such as automatic driving of various vehicles, evacuation route guidance at the time of disaster, process scheduling and a large number of combination problems. We can provide a solution to combinatorial optimization in each industry. (Transportation / distribution, manufacturing, materials, drug discovery, etc.)

Researchers

Graduate School of Information Sciences

Masayuki Ohzeki

[Beam Yielding Mechanism]

[Big Data]

Developing plastic waste sorter using Terahertz waves and social implementation of sustainable recycling technology

 
 
 
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概要

This research utilizes the characteristics of terahertz waves, used in next-generation communications and autonomous driving, to identify the materials of plastic waste. It improves existing recycling technologies and can be applied to evaluate the quality of recycled plastics, ensuring stable production of high-quality recycled plastics. It enables easy development of devices to solve various issues in containers and packaging and automobile recycling, contributing to the realization of decarbonization and a circular economy.

従来技術との比較

Conventional plastic waste identification and sorting technologies use specific gravity sorting or near-infrared devices. Particularly, near-infrared sorting technology has accumulated an enormous amount of data and serves as the primary sorting technology in plastic recycling plants. However, near-infrared devices struggle with identifying black plastics, additives, and degradation. This technology uses terahertz waves to measure and evaluate transmission and absorption characteristics, allowing for identification of black plastics, additives, and degradation.

特徴・独自性
  • In recent years, there has been increasing global attention on plastic waste issues, such as marine pollution from drifting garbage and microplastics, the overseas export of plastic waste resources, and the increase in disposable containers like plastic bags and straws, especially due to the impact of COVID-19. There is growing demand for advanced identification and recycling of plastic waste materials, especially in the context of achieving the Sustainable Development Goals (SDGs) and realizing a circular economy.
  • The research group from Tohoku University, Shibaura Institute of Technology, and Shizuoka University has conducted research on the commercialization of advanced sorting devices for plastic packaging waste. We have successfully identified mixed plastics containing black plastics, additives, and flame retardants, which were difficult to identify with existing devices, by utilizing the characteristics of terahertz waves. We have also confirmed the ability of terahertz waves in assessing degradation caused by UV or long-term use. Furthermore, the method has been shown to be effective for distinguishing bioplastics, which is expected to see increasing demand in the future, in addition to plastic waste from container packaging, automobiles, and home appliances.
  • These identification technologies can be applied to properly sort plastic waste generated by the “The Plastic Resource Circulation Act,” enacted in 2022, contributing greatly to securing high-quality recycled resources through plastic waste resource recycling.
  • Our research group conducts interdisciplinary research with experts in various fields: social engineering, resource circulation (Professor Jeongsoo YU), optical engineering (Professor Tadao TANABE of Shibaura Institute of Technology and Professor Tetsuo SASAKI of Shizuoka University), information science and big data analysis (Associate Professor Kazuaki OKUBO), data collection and analysis, international cooperation (Specially Appointed Lecturer Gaku MANAGO), social experiments, and behavioral economics (Assistant Professor Xiaoyue LIU). We address the needs from social, economic, and environmental issues both domestically and internationally, working from diverse perspectives to solve challenges and contribute to the creation of a sustainable society. Collaboration and networking with private companies, government agencies, research institutions, and civic organizations are also expected.
実用化イメージ

This technology can be applied to the development of plastic waste identification and sorting devices from processes such as containers and packaging recycling, automobile recycling, and home appliance recycling, as well as the production and quality evaluation of recycled plastics.

Researchers

Graduate School of International Cultural Studies

Jeongsoo Yu

Brain Development and Aging Using Large Brain MRI Database

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特徴・独自性
  • We have revealed relationships among brain structure, brain function, lifestyle, genetic factor, and cognitive function using brain magnetic resonance imaging (MRI) database. The goal of our project is to prevent several diseases and disorders such as dementia by performing personalized medicine using the large brain MRI database.
実用化イメージ

Our research is related with several industrial fields such as food, sleep, and other lifestyle industries. In addition, our research is also related with medical field such as preventing medicine and brain check-up.

Researchers

Smart-Aging Research Center

Yasuyuki Taki

Advanced Analysis of Socio-Economical Data for Capturing Social Needs

 
 
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特徴・独自性
  • We have proposed advanced methods of behavior analysis for public transport service.
  • They include a demand composition based on the automatically mesured traffic data, estimation of true demand partly unrealized by the congestion, and intense usage of geographical data. These methods may be applicable for behavior analysis besides transport service.
実用化イメージ

We welcome cooperative research on demand analysis of public services, as well as needs analysis for new goods and services.

Researchers

International Research Institute of Disaster Science

Makoto Okumura

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