COURSES & FACULTY MEMBERS

COURSES

Mathematics, Electronics, and Informatics Course

WEBSITE : Department of Information & Computer Sciences

WEBSITE : Department of Electrical & Electronic Systems

The goal of this course is to cultivate researchers with specialized knowledge and skills related to theory, hardware, and software in the field of mathematics, electronics, and informatics; the ability to conduct highly innovative research from a broad perspective by organically linking technologies in various fields; and the ability to take strong leadership roles in their respective disciplines and industries on a global level.

Mechanical Science Course

WEBSITE : Department of Mechanical Engineering & Science

This course aims to cultivate researchers and practitioners with the ability to create systems with new functions based on societal needs, such as human-friendly production machines with new functions and human support-oriented mechanical systems based on core production science technologies and human support technologies, and the ability to take a global lead in these fields of engineering.

FACULTY MEMBERS

Mathematics, Electronics and Informatics Course

【Information & Computer Sciences Unit】

Research Field/Key Words	Professor	WEB SITE
MEDIA INFORMATICS digital signal processing, voice information processing, communication systems, circuits and systems, image processing This lecture is a further advanced version of Advanced Lecture on Signal Processing in master course. Some among the most recent hot topics in the field of digital signal processing are picked up and discussed after presentation by each student. The goal is to know and understand the recent trend in digital signal processing. Some related key words are digital signal processing, statistical signal processing, speech, image and communications systems, multimedia applications.	SHIMAMURA, Tetsuya Professor	SHIMAMURA Lab.
MEDIA INFORMATICS augmented reality, user interfaces, computer vision, image sensing The aim of the course is to help students acquire a fundamental knowledge of image sensing and processing systems. The topics include imaging systems, image recognition, object tracking, 3D measurement, and image restoration. Students are expected to improve their understanding on these topics and to propose a new system through presentations and discussion.	KOMURO, Takashi Professor	KOMURO Lab.
MEDIA INFORMATICS Human Robot Interaction, Human Computer Interaction, Computer Vision This course is a graduate level course in intelligent robotics. The aim of the course is to give a basic understanding of the central concepts and fundamentals of Intelligent Robotics. Topics included kinematics, artificial intelligence, robot vision, human robot interaction. In this class, each student will introduce more than one paper(s) related to Intelligent Robotics. We will discuss the state-of-the-art intelligent robot technologies from the human robot interaction point of view.	KOBAYASHI, Yoshinori Professor	KOBAYASHI Lab.
MEDIA INFORMATICS color-vision mechanisms, functional brain imaging, representations of visual information in human brain This lecture is a further advanced version of “Advanced Lectures on Visual Information Processing System “ for master course. The goal of this lecture is to learn how to catch up with recent advantages in studies on visual information processing in human brains, by reading articles thoroughly. The lecture will be based on presentations by students to introduce recent articles on the cortical visual information processing and the following discussions on topics in each article. Each student will be asked to read an article and its reference articles, when necessary, to thoroughly to learn latest topics. This is a very important skill for Ph.D. trainees to study the recent advantages of the field and to plan their own project. Keywords: human vision, neural systems, psychophysics, computer models, image processing	KURIKI, Ichiro Professor	KURIKI Lab.
MEDIA INFORMATICS graphics, breal-time rendering, visual simulation, and visual appearance modeling This lecture is a further advanced version of Advanced Lecture on Visual Information in the master course. This lecture aims to know and understand the recent trends in computer graphics, especially rendering techniques. Participants must read recent papers, implement them, demonstrate some demos, and deliver a presentation.	IWASAKI, Kei Professor	IWASAKI Lab.
MEDIA INFORMATICS Human-Computer Interaction, Computational Science, Digital Fabrication, Perceptual Psychology, Extended Reality Computational Interactions focus on the use of algorithms and mathematical models to explain and enhance human-computer interactions (HCI). While there are numerous approaches to computational interaction, they all share a commitment to defining computational models of the nature and processes of interaction itself. By which, these models can drive design and decision-making. This lecture will explore the use of algorithms and mathematical models to understand and enhance human-computer interactions (HCI). It is a further advanced version of the Advanced Lecture on Engineering Interactive Technologies in Master course but focusing on its theory and practice approaches to computational interactions. After the class, the students will be able to understand the recent advances in computational interactions in the HCI related area.	PUNPONGSANON Parinnya Associate Professor	PUNPONGSANON Lab.
COMPUTER SCIENCE computer network management, cyber security including cyber crime, software verification Software is used for many kinds of systems such as vehicles, airplanes and social infrastructure. It is important to create software without faults. Software verification checks whether software satisfies specifications or some important properties for software such as safety, liveness and fairness properties. There are several methods of software verification. Logic and automata theory are bases for the methods. This lecture selects some research papers of software verification. In the lecture, participants read the papers and explain them to understand the latest topic and theoretical bases of software verification.	YOSHIURA, Noriaki Professor	YOSHIURA Lab.
COMPUTER SCIENCE real-time systems, model-based development, operating systems, middleware for embedded systems This course is a graduate-level course in real-time systems. The course aims to understand real-time scheduling, including specific scheduling algorithms for hard real-time tasks, such as the earliest deadline first. Participants read and discuss the latest papers in the lecture to understand the state of art topic for real-time systems. Prerequisites are fundamentals of computer software such as operating systems.	AZUMI, Takuya Professor	AZUMI Lab.
COMPUTER SCIENCE Graph Networks, Discrete Algorithms, Parallel and VLSI Computations being prepared	YAMADA, Toshinori Associate Professor	YAMADA Lab.
COMPUTER SCIENCE relevant reasoning and its applications, automated theorem finding, epistemic programming, anticipatory reasoning reacting systems, Web services This course is a graduate level course in information systems to deal with knowledge processing. The aim of the course is to give a basic understanding of knowledge representation methods and their reasoning through the critical reading of research papers. Prerequisites are fundamentals of the first-order classical mathematical logics, set theory, and graph theory. Topic is “old” artificial intelligence: proving and reasoning, knowledge base, etc.	GOTO, Yuichi Associate Professor	GOTO Lab.
COMPUTER SCIENCE Information Theory Information theory gives various analytical methods that support information and communication technologies. The purpose of this class is to study some of these methods. Students taking this class will be asked to read some textbooks and papers on information theory, give a presentation on these articles and answer questions from students in the class.	MATSUTA, Tetsunao Associate Professor	MATSUTA Lab.
COMPUTER SCIENCE Protocol, Mobile Network, Network Protocol, Communication System, QoS	WATABE, Kohei Associate Professor	WATABE Lab.
MATHEMATICAL INFORMATICS Complex photonics, Secure key distribution, ICT, Fractal, Nonlinear dynamics This course is a graduate level course in nonlinear optics and their applications in information-communication engineering. The aim of the course is to give a basic understanding of the central concepts and fundamentals of complex photonics and related topics. Topics include chaotic dynamics in lasers, synchronization of chaotic lasers, optical secure communication, random number generation, and artificial intelligence using photonic devices.	UCHIDA, Atsushi Professor	UCHIDA Lab.
MATHEMATICAL INFORMATICS Complex networks, Stochastic process Some topics are selected from stochastic methods in various research fields, including probability theory, statistics, machine learning. This class aims at making understanding of information processing based on stochastic methods, and at learning techniques to solve problems. The class basically consists of paper reading, presentation, and discussion on advanced topics of probabilistic methods.	OHKUBO, Jun Professor	OHKUBO Lab.
MATHEMATICAL INFORMATICS Molecular simulation, Free energy calculation, Data assimilation, Molecular Dynamics, Nonlinear Science being prepared	MATSUNAGA, Yasuhiro Associate Professor	MATSUNAGA Lab.
MATHEMATICAL INFORMATICS Geographic Information Science including geographic information system, remote sensing, spatial statistics This class aims at exploring the latest topics of geospatial information science including geographic information systems, remote sensing, spatial statistics, and any relevant studies. The class provides the opportunities to discuss those topics above by reading and presenting selected journal papers. Students are expected to understand such state-of-art studies to explore new research topics in this field.	TSUTSUMIDA, Narumasa Associate Professor	TSUTSUMIDA Lab.
MATHEMATICAL INFORMATICS Soft computing, Sensitivity (kansei) informatics This lecture is a further advanced version of Advanced Lectures on Network Science for the master course. The goal of this lecture is to learn about recent advances in studies on dynamical processes on complex networked systems and their applications. The topics include coupled dynamical systems, network inference of biological and technological systems, information diffusion on social networks, human mobility patterns, and temporal networks. The assignments in this course will consist of research paper reading, reviews of presented papers, and presentations.	SHIMADA, Yutaka Associate Professor
MATHEMATICAL INFORMATICS reservoir computing, time-delayed dynamical system, semiconductor laser, chaos, nonlinear science being prepared	KANNO, Kazutaka Associate Professor
MATHEMATICAL INFORMATICS Evolutionary Computation, Machine Learning, Optimization, Game AI, Sleep Measurement	HARADA, Tomohiro Associate Professor	HARADA Lab.

【 Electrical & Electronic Systems Unit】

Research Field/Key Words	Professor	WEB SITE
Electronic materials and devices Microreactor array, Organic electronic materials, Gas Sensors, Biosensors,Chemical Sensors Discussion about the recent chemical sensor based on the latest article.	UCHIDA, Hidekazu Professor	UCHIDA Lab.
Electronic materials and devices Manufacturing technology (mechanical, electrical/electronic, chemical engineering), Electronic devices and equipment This course is a graduate level course in superconducting devices. The aim of the course is to give a basic understanding of the superconducting devices including the Josephson junctions and nano-structures, recently supporting the quantum information technology including quantum computing such as quantum annealing and quantum computer, quantum information communication and measurement fields such as quantum key distribution and deep space communication / observation.	MYOREN, Hiroaki Professor	MYOREN Lab.
Electronic materials and devices Semiconductors, Photonics, nano-quantum structures This course is a graduate level course in optoelectronic devices and materials. The aim of the course is to give an advanced understanding of the properties of semiconductor materials used for optoelectronic and photonic devices, such as light-emitting diodes and semiconductor lasers. The course also aims to provide a basic understanding of quantum optics.	YAGUCHI, Hiroyuki Professor	YAGUCHI Lab.
Electronic materials and devices SiC semiconductors,power devices, hard electronics, quantum device The aim of this course is to widely learn the recent progresses in electron devices processing and characterizations. The course also lectures the historical background as well as material science and solid-state physics underlying the electron device developments.	HIJIKATA, Yasuto Associate Professor	HIJIKATA Lab.
Electronic materials and devices High Efficiency Solar Cells, Crystal Growth, Semiconductor Engineering This couse is a graduate level course in semiconductor device technologies.The aim of the course is to provide an overview of fabricatoin processes for several selected devices such as high-speed transistors, lasers, and advanced solar cells. The couse also deals with the operating principles, device physics, and characteristics of these devices.	YAGI, Shuhei Associate Professor	YAGI Lab.
Energy control system Manufacturing technology,Electrical power engineering Intellectual information processing and control" is an application of "Advanced Automatic Control System" of Master's Program of Electrical and Electronic Systems course. Students in this class can listen to the features of the wireless power transfer system and commentary on the design method and learn intelligent information processing and control methods (such as neural networks) for control system design to improve the characteristics , Practice analysis and design. Also, you will investigate trends on intellectual property related to electrical and electronic equipment and power electronics, etc.	KANEKO, Yasuyoshi Professor	KANEKO Lab.
Energy control system discharge control in vacuum and interruption of large current by fuse,Power system operation being prepared	YAMANO, Yasushi Professor	Yamano Lab.
Energy control system Force control, Motion control, Robotics This course is a graduate level course of lectures on Robotics Robot Control. The aim of the course is to study the technological trends of elemental technologies of robotics (sensors, actuators, mechanisms, and control systems) and deepen expertise through survey and discussion of advanced technologies.	TSUJI, Toshiaki Associate Professor	TSUJI Lab.
Information communication and circuit system microwave / millimeter wave circuit and its design method High-performance microwave circuits are required for various communication equipments. In this lecture, the latest research trend on various microwave circuits, especially advanced microwave/millimeter-wave filters and new microwave circuits using high-temperature superconductors will be investigated, and the research method will be learned.	MA, Zhewang Professor	Advanced Microwave Lab.
Information communication and circuit system photonics and sensing systems, optical fiber communication, free-space optics,non-linear optics, optical interferometry The purpose is to understand the property of light as a wave and to apply it to sensing technology. Especially, the recent advanced research topics, related to the Fourier optics based applied sensing technologies, will be investigated, and the research method will be studied.	SHIODA, Tatsutoshi Associate Professor	Advanced Photonics & Sensing Lab.
Quantum property crystal engineering,quantum devices This course is a graduate level course in semiconductor device and materials. The aim of the course is to give a basic understanding of the fundamentals of photovoltaic, display and charge storage device and related materials using inorganic and organic materials. Topics include device physics of photovoltaic, charge storage, sensor and field effect transistor (FETs) devices. The class aims at building up capabilities of understanding scientific framework, recognizing research front on this field and pointing out necessary discussions toward future developments.	SAKAI, Masamichi Professor	SAKAI Lab.
Quantum property Magnetic material engineering This course is a graduate level course in magnetic recording devices and storage systems. The aim of this course is to give a basic understanding of magnetic recording at very high areal densities which has evolved over the past few years and which will serve as part of its foundation for continued growth. Topics included microstructure of magnetic recording media, magnetization dynamics and thermal fluctuations in fine grains and thin films, patterned media and perpendicular recording media, self-assembles magnetic nanoparticle arrays.	KAKIZAKI, Koichi Professor	KAKIZAKI Lab.
Quantum property Molecular magnets, Quantum spin system, Magnetism This course is a graduate level course in magnetism and magnetic materials. The aim of the course is to give a basic understanding of the central concepts and fundamentals of magnetism and magnetic materials. Topics included magnetic moments in classical and quantum mechanical pictures, diamagnetism, paramagnetism, crystal field environments, exchange interactions, ferromagnetism, antiferromagnetism, ferrimagnetism, and quantum magnetism.	HONDA, Zentaro Professor	HONDA Lab.
Quantum property magnetic materials, ferrites This course is aimed at filling a gap between advanced topics and fundamental knowledge of Solid State Physics. Notwithstanding the great variety of this subject, a well-established theory is available for explaining electron behavior that determines the physical properties of a solid such as electrical conductivity, thermal conductivity, and thermoelectric power. It begins with elementally classical and quantum characteristics of the free electron theory of metals, passing to the terminology of periodic systems, Bloch's theorem, nearly-free-electron approximation, tight-binding approximation, and semi-classical mechanics that accounts for transport phenomena.	KAMISHIMA, Kenji Associate Professor	KAMISHIMA Lab.
Quantum property Intermetallic compounds, nanoparticles, catalysts This course is aimed at filling a gap between advanced topics and fundamental knowledge of Solid State Physics. Notwithstanding the great variety of this subject, a well-established theory is available for explaining electron behavior that determines the physical properties of a solid such as electrical conductivity, thermal conductivity, and thermoelectric power. It begins with elementally classical and quantum characteristics of the free electron theory of metals, passing to the terminology of periodic systems, Bloch's theorem, nearly-free-electron approximation, tight-binding approximation, and semi-classical mechanics that accounts for transport phenomena.	ABE, Hideki Professor (Collaborative / NIMS)

Mechanical Science Course

Research Subject/Key Words	Professor	WEB SITE
Materials science Molecular Dynamics Simulation, Acoustic Emission, Viscoelasticity, composite, polymer This course is a graduate level course in mechanics of polymeric materials. The aim of the course is to give an advanced understanding of the properties of composites and polymer, such as viscoelasticity of the carbon fiber reinforced plastics and their matrix resin. The course also aims to provide a basic understanding of viscoelastic theory.	SAKAI, Takenobu Professor	M & M Lab.
Materials science Materials science, material engineering, non-destructive evaluation,acoustic emission, electret, acoustic sensor, sensor materials, bioacoustics This course is a graduate level course on mechanical materials. The aim of this course is to understand advanced materials such as FRP and cellulose nanofiber used in various machines. This course also requires the innovative proposals and discussions for new applications of advanced mechanical materials.	KAGEYAMA, Kensuke Professor	Material Science & Engineering Lab.
Materials science Mechanical metamaterials, Impact engineering Strength of Materials, Mechanics of Materials Continuum Mechanics This course is a graduate level course in mechanics of polymeric materials. The aim of the course is to give an advanced understanding of the properties of composites and polymer, such as viscoelasticity of the carbon fiber reinforced plastics and their matrix resin. The course also aims to provide a basic understanding of viscoelastic theory.	KOJIMA, Tomohisa Associate Professor	Material Science & Engineering Lab.
Production processing Production processing, ultra-precision grinding, micro-machining, laser processing, laser trapping, production environment,processing properties, production principles This course is a graduate level course in dynamics and control of mechanical systems. The aim of the course is to provide the students with a fundamental knowledge of how to model mechanical systems and how to design control systems. Topics include modeling of mechanical systems, motion of multi-body systems, simulation of mechanical systems, stability of dynamical systems, and control methods of mechanical systems.	IKENO, Junichi Professor	Science of Production & Environment Lab.
Production processing Cutting, NC machining, end milling, CAM, computer simulation, error prediction, GPGPU This course is a graduate level course in machine tool and machining process. The purpose of the course is to give an advanced understanding the cocept of numerical control and the charasteristics of mechanical elements, which are the basis of modern machine tools.	KANEKO, Junichi Professor	Manufacturing & Machine Tool Lab.
Production processing Additive manufacturing, 3D printers, arc welding, CAM	ABE, Takeyuki Associate Professor	Manufacturing & Machine Tool Lab.
Production processing Dynamics of Machinery, Bearing, Tribology This course is a graduate level course in dynamics and design of machinery. The aim of the course is to give a basic understanding of the analyzing method of dynamics of machinery and the design procedure of machinery considering dynamical characteristics of it. This course is focused on a vibration reduction devices (vibration isolator and high damping bearing) to give how to obtain governing equations giving their dynamical characteristics based on finite element method and finite difference method.	YAMAMOTO, Hiroshi Professor	Machine Element Lab.
Production processing Dynamics of mechanical systems, machine element, mechanism This course is a graduate level course in dynamics and control of mechanical systems. The aim of the course is to provide the students with a fundamental knowledge of how to model mechanical systems and how to design control systems. Topics include modeling of mechanical systems, motion of multi-body systems, simulation of mechanical systems, stability of dynamical systems, and control methods of mechanical systems.	NARUKAWA, Terumasa Associate Professor	Machine Element Lab.
Thermo-fluid dynamics Reactive gas dynamics, propagation and quenching of detonation wave, deflagration-to-detonation transition on obstacle flame jet and shock-flame interaction This class provides students with an introduction of compressible fluid dynamics including topics as sound propagation, finite amiplitude wave, non-linear wave, shock waves. The characteristics propagation in flows is discussed according to the Navier-Stokes equation and Euler equation. The solution will be related to the multi phisics in the wide research area. The students will be able to develop a skill of theoretical and numerical simulation technique.	OBARA, Tetsuro Professor	Thermal Engineering Lab.
Thermo-fluid dynamics Gaseous detonation, Detonation engine, Aerospace propulsion engine, High-speed flame, Gaseous explosion This course provides students with an introduction of reactive gas dynamics, which is often define the flow in combustors of various engines. In this course, we deal with the systems in which compressible gas flow and chemical reaction (mainly combustion) proceed simultaneously. The goal of this course is to provide students with an introductory knowledge of the general theory and analytical methods of such reactive gas dynamics.	MAEDA, Shinichi Associate Professor	Thermal Engineering Lab.
Fluid engineering turbomachinery, fluid instability, fluid-structure coupled vibration, microfluidic machines This class provides students with an introduction of flow instabilities, including linear stability analysis, Kelvin–Helmholtz instability, Rayleigh-Taylor instability, the Von-Karman vortex sheet, Orr-Sommerfield equation, turbulence boundary layer, flow instabilities in turbomachinery, and cavitation instabilities. The students will be able to develop a skill of theoretical fluid dynamics.	KANG, Donghyuk Associate Professor	Fluid Dynamics Lab.
Fluid engineering Visualization and measurement of the multiphase flow including bubbles and jets for fundamental and applied studies This class provides students with an introduction of flow instabilities, including linear stability analysis, Kelvin–Helmholtz instability, Rayleigh-Taylor instability, the Von-Karman vortex sheet, Orr-Sommerfield equation, turbulence boundary layer, flow instabilities in turbomachinery, and cavitation instabilities. The students will be able to develop a skill of theoretical fluid dynamics.	KIYAMA, Akihito Associate Professor	Fluid Dynamics Lab.
Mobility dynamics Self-excited sound and self-excited vibration, synchronization phenomena, and analysis methods This course is a graduate level course in dynamics of mechanical systems.The aim of the course is to give an advanced understanding of nonlinear vibrations which are observed in mechanical systems.The course also aims to provide a basic understanding of numerical calculations.	NAGAMINE, Takuo Professor	Mechanical System Lab.
Dynamic design Vibration, tribology (Boundary lubrication, nano-film thickness measurement), autonomous systems, functional materials, and soft materials	TADOKORO, Chiharu Professor	Mechanical System Lab.
Ambient mobility Human Interface, Brain Machine Interface,Univasal Design, Virtual Reality, Skill Transfer, Human Resource Development, Analysis, Medical Engineering, Kansei Engineering, Ergonomics, Welfare Engineering, Environmental Design under preparation	WATANUKI, Keiichi Professor	Human Interface Lab.
Ambient mobility Mechatronics, robotics, human-machine system, usability.	KAEDE, Kazunori Associate Professor	Human Interface Lab.
Cogunetics Cognetics, robotics and mechatronics, haptics, virtual reality, experimental psychology, cognitive neuroscience. being prepared	HARA, Masayuki Professor	Measurement Engineering Lab.
Mechatronics Mechatronics, control engineering,ultrasonic engineering, ultrasonic applications, ultrasonic motors,surface acoustic wave applications, tactile displays, and computerinterfaces This course is a graduate level course in application of ultrasonic vibration for mechatronics. The aim of the course is to give a theoretical understanding of ultrasonic vibrations in solid and analysis method for designing ultrasonic transducers. This course includes description of ultrasonic wave with partial differential equations, inverse piezoelectric effect, equivalent circuit model and introduction of ultrasonic vibration applications for mechatronic devices.	TAKASAKI, Masaya Professor	Control Engineering Lab.
Dynamic design Dynamics design, damping dynamics and modeling, seismic engineering, sensitivity engineering, sports engineering, multi-body dynamics being prepared	WATANABE, Tetsuya Professor	Mechanical Dynamics Lab.
Robotics and mechatronics Robotics and mechatronics, mechatronics, intelligent machines, biomimetic machines, Robot safety The aim of this lecture is to develop appropriate behavioral goals for state-of-the-art research and acquire the ability to autonomously investigate related research. Students participating in this lecture are required to investigate state-of-the-art research papers on robotics and report the results. The report will be evaluated to understand the purpose of the referenced paper and explain it without excess or deficiency.	KOTOSAKA, Shinya Associate Professor	Design Engineering Lab.
Robotics and mechatronics Robotics and mechatronics, mechanism design, motion control, mobile robots, biomimetic robots, embedded systems, robot elements This course is a graduate level course in robotics and mechatronics. The aim of the course is to introduce the design process of the novel robotic systems, including biologically inspired, mobile, tethered and aerial robots, and explain the basic methods and principles of robotic mechanism design. Topics are biomechanics of walking animals and a snake, harvestman-like robots, shake-like robots, wheeled and crawler robots, space robots, rescue robots, tethered robots, aerial robots.	HODOSHIMA, Ryuichi Associate Professor	Design Engineering Lab.
Physical information system Acoustic Engineering, Nonlinear Acoustics, Physical Information System, Human Information System	HASEGAWA, Keisuke Associate Professor	Hasegawa Lab.