With the spread of Mobile Mapping System (a vehicle equipped with GNSS, laser scanners and cameras), huge point clouds are being accumulated rapidly. My study is to make effective use of this data in current road-related measurement system. And also I’m trying to display this as a high-speed 3DCG via the Internet.

Metaheuristic algorithms such as simulated annealing, iterated local search, genetic evolutionary algorithms are known to be effective optimization methods that can be used for various problems in engineering field. Our research interests are developments, improvements and analyses of high-performance evolutionary algorithms and metaheuristic algorithms based on local search for optimization problems such as Maximum Clique Problem, Graph Coloring Problem, Quadratic Assignment Problem, Facility Location Problem, Vehicle Routing Problem, Scheduling Problems, etc.

I am currently conducting researches on pedestrian flow modeling, simulation, and optimization. There are two reasons for investigating pedestrian flow. One is to solve the day-to-day problems of crowded public spaces, such as stations, shopping malls, pavements and many other places. The other is to optimize evacuation procedures from densely buildings and urban centers in case of an unpredicted event.

Real-world oriented interface is a research field that aims to realize computers supporting our work in the real world. In our laboratory, we are working on the realization of real-world oriented interfaces.

Although computer performance continues to improve, a very long time is required to solve complex calculations such as deep learning, big data processing, and physics simulation. Therefore, we are researching to improve the computing performance of such complex and large-scale problems by parallel processing using GPUs and many-core CPUs.
Moreover, we are developing reconfigurable computing systems based on FPGA technologies and finding efficient computing algorithms with hardware/software co-processing.

I make a study on reliable, efficient and secure information transfer. In recent years, such as digital communication and digital recording device, it is increasingly digitized in a variety of systems. For improving the reliability of the digital system, error control coding technique is used. These areas of research is the field called coding theory. Error control coding techniques have been actually used in such as mobile phones, DVD, QR code, digital TV broadcasting. Decoding methods suitable for hardware implementation for low density parity check codes, and efficient coding methods for digital storage device such as flash memory are studied. we evaluate the performance by computer simulation.

In recent years, almost all digital systems have operated in synchronization with the clock pulse. However, high-frequency clock pulses not only increase the power consumption but also cause instability in the system. In our laboratory, we are working on the applications of an asynchronous circuit without clock pulses, for example, improving the performance of large-scale digital systems and reducing the power consumption of biometric signal processors. The proposed architectures are designed and implemented in the reconfigurable programmable gate array (FPGA), and we are also working on the FPGA-based image processing accelerator for surveillance camera systems and medical diagnostic imaging systems.

We propose a high-performance computer system called a Hybrid-Cluster and are conducting applied research. It provides a common framework for easy cooperation between computers and consumer electronic devices, such as controlling consumer electronic devices from computers and vice versa. In addition, in the field of educational technology, we are working on practical education, such as efforts to increase students’ self-study time and team development of software in lectures.

I do research the image processing using color effects and visual characteristics. For example, the human visual features vary with on age. I advance the development of a lightness transform method considering the visual features of the elderly person.

Artificial intelligence has regained a lot of attention with the emergence of deep learning. However, I am concerned about the problem of disadvantaged people, such as the digital divide.
I study methodologies for introducing IT into niche fields.
Additionally, I develop self-organization algorithms for practical applications.

IT technologies are advancing at breakneck speed, driven in particular by advances in AI and IoT. While connecting vast amounts of information to the internet has enhanced convenience, it has also increased the risk of personal data and corporate confidential information being compromised. This laboratory focuses on securing IoT devices—which typically have limited computational resources and pose significant security challenges—and develops and implements security measures. We primarily concentrate on cryptography and random number generation, exploring applications of these technologies in IoT devices including FPGAs, as well as encryption for various communication channels and device authentication. Furthermore, we are committed to the real-world deployment of IoT technology.