The Study of Mechatronics in the Context of Emerging Industries

Mechatronics is the academic area of focus at KUAS’s graduate school, specifically the study of mechatronics in the context of emerging industries. Conventional fields of mechatronics have included mechanical, electrical, and electronic engineering, which at KUAS are extended with chemical, materials, information, and knowledge engineering. Skills acquired in these disciplines can be applied in many industries, particularly in the fields of robotics, drones, and electric vehicles. Graduate students are affiliated with a research laboratory and learn in an “on-the-research training” environment under the supervision of globally-active professors from around the world. Along with cutting-edge research facilities, this environment is ideal to help students further the development of their specialized field.

More specifically, the study of mechatronics at the graduate school includes:
(1) mechanical engineering, for the development of actuators (such as motors), mechanical elements, sensors, and control equipment, as well as design, production, and information processes;
(2) electrical, electronic, and communications engineering, for the development of electromagnetic and communication circuits and devices;
(3) materials science and engineering, for developing new materials and their mechanical applications;
(4) computer science and information engineering, for information processing, machine learning, and big data analysis; and
(5) chemical engineering, for the development of batteries essential to electrical vehicles, autonomous systems, and the Internet of Things.

A New Style of Graduate Program

The program of the KUAS Graduate School of Engineering is based on the four fields of materials, energy, information and systems, with each research field correlating and overlapping with the others. Students can seek expert advice from specialists outside their own field, which can lead to new ideas. Students can learn how to innovate professionally while expanding their integrated knowledge beyond the boundaries of their major.
At KUAS, students are taught by experts in a wide range of fields. Please see the table below for details.
 

Materials	Dr. Koichi Nakamura	Quantum Materials Science, Theory of Electronic States, Nanomaterials
	Dr. Shigeru Horii	Materials Science, Solid State Physics, Superconductivity (Ceramics, Functional materials, magnetic alignment, physical properties)
	Dr. Tadayuki Imai	Optoelectronic Devices, Optical Crystals, Dielectrics, Holography
	Dr. Takahiro Namazu	Nanomechanics, Nanotechnology, Functional Materials
	Dr. Ryosuke Matsumoto	Solid Mechanics, Computational Mechanics, Strength and Fracture of Materials, Atomic Simulationn
Energy	Dr. Alberto Castellazzi	Power Electronics, Power Semiconductor Devices, Packaging, Thermal Management
	Dr. Ryo Takahashi	Electrical Engineering, Information and Communication Engineering, Statistical Physics
	Dr. Ippei Kishida	Computational Materials Science, Battery Engineering, Ionics
	Dr. Fuat Kucuk	Electrical Engineering, Electrical Machines, Power Electronic Circuits, Renewable Energy Conversion, Electric Vehicles
Information	Dr. Osamu Tabata	MEMS, NEMS, DNA Nanotechnology
	Dr. Hiroshi Kawakami	System Design, Systems Engineering, Mechanical Engineering
	Dr. Ian Piumarta	Meta-programming, Reconfigurable Systems, Embedded and IoT Technologies
	Dr. Zilu Liang	Pervasive Computing, Wearable Computing, Personal Informatics, Digital Health
	Dr. Martin Sera	Mathematics, Complex Analysis, Complex Geometry
	Dr. Masayuki Nishi	Inorganic Material Chemistry, Nanomaterials, Synthesis and Processing, Optical Materials, Glasses, Ceramics
Systems	Dr. Kazuo Oki	Remote Sensing, Drone Measurement, Sustainable Watershed Management
	Dr. Hiroaki Fukushima	Control Engineering, Robotics
	Dr. Salem Ibrahim Salem	Remote Sensing, Water Resources and Environment, Water Quality, Optical properties, Ocean, Coastal & inland waters, Machine Learning, Voice Recognition
	Dr. Sajid Nisar	Robotics, Mechanism Design, Haptics, Flexible Manipulators
	Dr. Yoshihiro Sato	Robotics, Computer Vision, VR/MR