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- [Platform Software] Year Started : 2021
Professor
Graduate School of Science and Engineering
Saitama University
In this research, a software platform for autonomous mobility will be built to cope with increasing advances and complexity using edge devices equipped with high-performance and low-power consumption hardware for embedded systems. Specifically, the proposed platform realizes low-power consumption and real-time processing for perception, decision, and control which are essential for small autonomous mobility systems such as battery-powered guidance and transportation robots and personal mobility systems.
Associate Professor
Academic Assembly
University of Toyama
In the process of reconstructing the lives of disaster victims, various support programs are provided by the government. However, the application method and data management method are different for each, causing confusion and delay in response. Against this issue, we will develop a platform that can automatically respond to disaster victims and centralize information by improving the backyard processing, even if victims apply the support program in various ways. Especially, based on actual experience and knowledge of past disaster, the platform will propose the prospect of life reconstruction to victims in order to realize their rational and rapid life reconstruction when disaster occurs. Finally, I will implement this platform as a public service that anyone can use anytime, anywhere.
Professor
Graduate School
Muroran Institute of Technology
While mmWave is a promising spectrum for achieving high-speed wireless communication in 5G networks, it is very sensitive to blockage from buildings and objects due to high propagation loss. In this research, I study and develop technologies to control mmWave and optimize wireless communication environments based on an innovative technique called Reconfigureble Intellegent Surface (RIS) which is made of many passive reflection elements. RIS deployment causes various research issues such as an increase of environmental noises and a complexity of propagation paths which are tacked in this research to improve indoor wireless communication using mmWave.
Associate Professor
Information Technology Center
The University of Tokyo
In an accelerator-centric distributed system, the data center hardware bypasses the CPU and communicates directly with other hardware. In such hardware data communication, it’s difficult to investigate vulnerabilities and potential defects by software testing. The goal of this project is to develop a software vulnerability testing method for hardware communication. This project proposes a method for developing PCIe devices with software and performs software testing from software PCIe devices to other PCIe hardware. The project enables flexible software testing methods to be applied to data center hardware.
Associate Professor
Graduate School of Information Science and Technology
The University of Tokyo
We study dynamic information flow tracking based on the entropy of secret data. The goal of this research is to realize an information leakage prevention infrastructure that strictly detects information leakage but does not prevent the execution of practical programs. This research aims to build a comprehensive information leakage prevention infrastructure that protects against information leakage by malware as well as attacks exploiting hardware vulnerabilities.
Senior Researcher
Information Technology and Human Factors
National Institute of Advanced Industrial Science and Technology
Making better decisions based on data is an attractive field of study, business, and services. However, information theft, unauthorized use, and privacy concerns are becoming serious problems. To overcome these issues, in this project, I study and develop secure computation based on cryptography and protocols for authenticity and anonymity in computing environments. Through this project, I aim to establish privacy-preserving mechanism design for secure and privacy-conscious social decision-making.
Assistant Professor
Faculty of Information Science and Electrical Engineering
Kyushu University
This project aims to establish ICT technologies and methodologies that empower people to maintain and recover healthy behaviors while avoiding the risk of continuing unhealthy lifestyles by considering (1) healthy human behaviors and lifestyles as assets, (2) human cognitive biases and preference biases as vulnerabilities, and (3) information presentation that triggers unhealthy behavior choices as threats based on the concept of “health behavior security”.
Associate Professor
Graduate School of Social Data Science
Hitotsubashi University
In the upcoming society based on ubiquitous AI, there is a concern of network bandwidth exhaustion by a massive amount of data. This study aims to establish messaging technology that is capable of large-scale data exchange among AIs. As well as attempting load distribution by placing a large number of messaging servers over a wide area, the proposed method introduces in-network processing to reduce network traffic adaptively.
Associate Professor
Institute of Engineering
Tokyo University of Agriculture and Technology
This research aims to design and implement an operating system (OS) architecture that recovers from various OS failures by resurrecting OS internals in a fine-grained manner. Specifically, the OS dynamically reconstructs memory objects damaged by OS faults such as hijacking attacks and hardware failures. The fine-grained recovery mechanisms integrated by design allow us to achieve OS resiliencability against unknown hardware failures and zero-day attacks that damage memory objects.
Professor
College of Information Science and Engineering
Ritsumeikan University
Since IoT systems need to accept a variety of inputs from multiple users and are often connected to a variety of devices, it is not easy to perform sufficient system tests manually. In addition, it is difficult to identify and fix the code that caused the vulnerability after the vulnerability is discovered only by hand. The purpose of this research is to Buiding automated testing and bug repair infrastructure for IoT systems.