Electrical and information engineering is an academic discipline that studies the nature, structures and logic of information from the points of generation, transmission, conversion, recognition and usage. This discipline also studies the theory and practice of information equipment and the hardware and software of information systems, with a focus on computers. This technology is indispensable and is a foundation of industry and life in our modern society. Electrical and information engineering is based on electrical and electronic engineering, communication engineering and computer science. The combination of these broad technological fields led to the creation of this advanced technological field of study.
Through instruction and research into electrical and information engineering, whith an eye towards taking consideration into the impact of information communication technology on society, the Faculty of Electrical and Information Engineering cultivates specialists who will acquire the ability to adapt to a wide range of electrical, information and communication related problems, and can therefore respond to modern day demands. Additionally, we work to cultivate specialists who can solve yet unknown problems autonomously and creatively.
“Compressed sensing” is a technology that allows one to restore the entire multi-dimensional data (like image data) from randomly selected small parts of data. Although this method is relatively a new mathematical tool developed around 2006, it is closely related to the fundamental mathematical problem well-known as simultaneous linear equations. By using "compressed sensing" it is possible to obtain high-resolution MRI images from low-resolution images obtained in medical sites with short scan times.
Viewers can enjoy clear images even when only a small amount of image data is delivered over the Internet. In order to understand exactly how much information is required for restoration, knowledge of mathematics learned at university is necessary. However, the information can be restored from the least amount of data intuitively if it is represented as a “sparse vector”, (a vector with most components set to 0).
Although this method has been applied to the restoration of various signals including images, movies, and voice, in our laboratory we extend our research on the application of compressed sensing focusing regarding the sparseness of signals in communication systems and big data.
With the development of AI and IoT, terminals are placed everywhere, and huge amounts of information are exchanged. Preventing congestion or delay of this information exchange is a task for future communication researchers. Currently, if there are 100 terminals, they must transmit signals one by one in order. When multiple terminals transmit signals at the same time, the signals collide and cannot be properly received. However, if we apply the compressed sensing approach, we can restore the complete transmitted signals of all terminals, with the number of transmissions less than the number of terminals, by making multiple conflicted signal transmissions by these 100 terminals at the same time and catching the received signals. As a result, we can receive signals from a large number of IoT terminals in a significantly shortened time.
If we apply it to big data, we can imagine for example that information regarding “payment status of utility bills in the past” is useful to know the “repayment tendency of mortgage loans”, but the information on “favorite food” could also be helpful. Compressed sensing can also be applied to find hidden relationships that humans have thus far not realized.
From signal processing to big data, we are researching and developing practical application of technologies that makes the world happy. If you are interested in both basic theory and application, please knock at the door of our laboratory.
In our modern society, information is carried by physical quantities such as electric signals, magnetic signals, optical signals, and more. We work to research the principles and advanced devices used for control of these physical quantities with high efficiency and accuracy, which is vital for manufacturing.
In particular, we are focusing on light amplification technology, optical functional systems that use nonlinear devices for amplified light, information photonics technology used to acquire and display 3-dimensional images by utilizing characteristics of light and measure biological information, ultra-compact thin film power sensors and micro electromagnetic devices that can become key devices for smart energy systems, spintronics and other hardware.
We are researching application of semiconductor lasers in regards to optical communication, direct light amplification, functional optical devices utilizing light wavelength conversion, as well as three-dimensional shape measurements and the stereoscopic display of objects, the measurement of biological information and other subjects related to the field of optical information engineering.
We are researching microelectromagnetic devices, micromachines, phased array antennas, and the measurement and analysis of electrical information from living organisms. We are also focusing on developing the world’s first compact thin-film power sensors, that could be incorporated into all electric products. We measure power consumption in real time and reduce unnecessary power.
We are researching electronic devices that use new energy saving methods. In traditional devices, the information is transmitted and processed using only electrical currents. We focus on devices that transfer information using a magnetic flow called “spin current”, rather than electric current.
Our research is focuses on the distributed and cooperative control of networked, multi-agent systems. Specifically, our goal is to design effective control algorithms for multi-agent discrete-events as well as cyber-physical systems, and apply the designed controls to networks for autonomous robots.
We are engaged in research organically combining hardware and software expertise in the field of information processing with the aim of creating new value sought by modern society. In particular, we are researching human interfacing with wearable computers in the form of glasses-type displays that produce 3D images, etc.; in relation to both their use in the medical and engineering fields as well as in regards to subjects such as the endoscope and health care, signal processing and data analysis based on probability and statistical methods, technical modeling of visual information processing and pattern recognition performed by humans and living organisms, and application of these models in robotics and medical image processing, control of legged robots imitating living organisms, as well as reinforcement learning aimed to achieve human-like environmental recognition and action planning.
We are researching 3D video interfaces which combine 3D displays and 3D cameras, eyeglass displays (Head-Mounted Display), wearable computers, new endoscopes, medical specimen control and healthcare.
In addition to fundamental research conducted regarding statistical signal processing used as a method for extracting useful information from observed raw signals and data as well as engineering models of information processing performed by living organisms and humans, we are also researching application of this theoretical knowledge in various fields, including on the communication of information, intelligent robots and image processing for medical use.
We are researching the motion control of humanoid robots, that can adapt to a human living environment, as well as multilegged robots which are designed to imitate animals or insects. We are also researching reinforcement learning, with the aim to develop an artificial intelligence which has abilities close to the thinking power of human beings, so that robots could acquire proper environment recognition and behavioral policy when performing tasks.
The domain of advanced communications and networking comprises a wide range of research fields related to information communication, including information communication networks and information communication systems. We strive to develop technology which can perform data transfers with a high speed, large capacity, high reliability and low power consumption. We believe this will be highly advanced technology that will be the basis for next generation communications. We are also working on the active application of already available knowledge to other fields, and on development of entirely new fields of research, such as the development of disaster relief robot networks and the application of our research results in regards to healthcare, sports, medicine and social welfare. Through these research results, the laboratory of information and communications will contribute to building a safer and more secure social infrastructure.
We are working on the development of technologies for the next generation, in regards to both wired and wireless networks, to enable us to use networks more intimately and with confidence. Our R&D work is directed towards the advancement of network technologies, in terms of increasing speed, data volume, reliability and lowering levels of power consumption.
The goal of our research is to establish a new foundation for information distribution, integrated with network that use diversified media in a unified way. We are researching and developing methods used to find distributed information quickly and reliably, the establishment of high-quality communication technology, and new communication models utilizing mobile devices.
We are working on spreading codes for communication channels and for multiple access in optical and wireless communications, wireless networks for multiple robots, and their application, the application of wireless information communication technologies in regards to health care, sports and the medical field, as well as technology regarding position estimation in wireless systems and its application.
We are engaged in researching methods of providing various services by distributed systems using a large number of computers connected to a network. We are also conducting R&D of infrastructure software distributed systems. Designed to implement distributed systems, applications using.
Information infrastructure, such as the Internet and cloud networks, is indispensable for in our modern society. We are researching various technologies and methods to help keep information infrastructure safe, reliable and efficient.
We are researching the retrieval of information, artificial intelligence and user interfaces. We are also studying web intelligence, the extraction and organization of information (text), life logs, library informatics and more.
Human behavior is always relatable to their position on the Earth. For example, it is possible to know the history of an area and think about a future city in this place by using position and map information related to human activities and extracted from various sources. We are researching the application of information about location, map and spaces for urban development with respect to the individuality of local communities, disaster prevention and mitigation, and more.
A society which holds sophisticated information requires far-sighted researchers and engineers with flexible practical skills based on a wide range of related technologies such as electrical and electronic engineering as well as computers and their ability to process, transmit and control information. In our faculty, future engineers and researchers will acquire the ability to deal with a wide range of problems related to electricity, information and communication, as well as the ability to solve yet unknown problems by themselves, autonomously and originally. Thus, we are seeking the following people for our faculty;