SSP Supervisor List for Prospective Applicants

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Firstly, prospective applicants must find their preferred supervisor from the list below who matches your field of study. Then, they must access to Online Pre-Application Request form. Prospective applicants must fill out and submit the online-pre application request form to their preferred superviser(s) via Online Pre-Application Form. This process will allow the selected supervisors to assess whether the applicants meet the criteria they require for SSP students prior to the submission of a formal application. Only applicants who obtain the permission of their preferred supervisor are eligible to submit application documents.

You can submit KUT Online Pre-Application Request Form from the below:
KUT Online Pre-Application Request Form for SSP　

Note
(1) Online Pre-Application Request need to be made at least 8 weeks prior to the formal application deadline. The formal application deadline refers to the date by which applicants must send their application documents by post after receiving permission from their selected supervisors.
For more details and selection schedule, please access to SSP Application Guidelines for Prospective Applicants.
(2) Prospective applicants can select a maximum of two supervisors in a given entry period.
(3) If there is no response from their preferred supervisor(s) within two weeks, pre-application request will be considered as a denial
(3) Information on the list is subject to change without notice.

Last updated: May 30, 2025

Intelligent Mechanical and Aerospace Engineering (Kami campus)

Research Field	Supervisor	Past Doctoral Students	Research Introduction	Required Skills and Knowledge	Keyword
Fuid dynamics of complex flulid and development of micro-mechanical elements	Prof. Tomohiro TSUJI	Past Doctoral Students	Research Introduction	- Fluid dynamics - Computer programing	Fluid dynamics, Complex Fluid, MEMS, CFD
Study on functional thin film growth in chemical mechanical electrical engineering	Prof. Toshiyuki KAWAHARAMURA	Past Doctoral Students	Reseasrch Introduction	- Thermodynamics - Physical Chemistry - Chemical Engineering - User of thin film fabrication systems - Experience with the following equipment: XRD, SEM, AFM, TEM, Spectrometer	Mist CVD, Spray pyrolysis, Equilibrium reaction, Functional thin film, Oxide materials, Metal, Semiconductor, Dielectric constant, Ultra wide band gap
Surface Science, Scanning Probe Microscopy, Single Atom/Molecule Manipulation, Nano-functional-materials/devices	Prof. Eiichi INAMI		Research Introduction	- Basic knowledge of surface science - Knowledge and skills for operating ultra-high vacuum (UHV) system, and scanning tunneling microscopy - Knowledge of LabVIEW and programming skills (C++, python etc.)	Scanning tunneling microscopy (STM), Atomic force microscopy (AFM), Ultra-short pulse laser, Atom/molecule manipulation, Semiconductor-surface, Carbon-condensed material, Nanocluster
Control Theory	Assoc. Prof. Shinsaku IZUMI		Research Introduction	- Basic knowledge of control theory (in particular, of multi-agent systems) and signal processing - MATLAB programming skills	Networked systems, Distributed control, Graph signal processing, Swarm robots, Sensor networks
Human Dynamics, Kinematics and Kinetics Analysis, Instrument Technology, Control Engineering	Assoc. Prof. Motomichi SONOBE		Research Introduction	-Fundamental knowledge of dynamics based on the equations of motion - Basic programming skills to perform numerical analysis (MATLAB or C++) - Resilient character and abundant intellectual curiosity	Balance analysis, Force platform, Inertial sensor, System identification
Vibration engineering and fluid mechanics	Assoc. Prof. Yuki KATO		Research Introduction	-Basic knowledge of vibration engineering -MATLAB programming skills	Dynamics of machinery, Visualization measurement, Signal processing, Fault diagnosis, Automotive engineering, Fluid mechanics

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Electronic and Photonic Engineering (Kami campus)

Research Field	Project Leader	Past Doctoral Students	Research Introduction	Required Skills and Knowledge	Keyword
Plasma Science and Engineering	Prof. Akimitsu HATTA	Past Doctoral Students	Research Introduction	-A basic understanding of physics, electromagnetism, electrical engineering, electronics, and chemistry - As skills for carrying out research, students are required to understand the basis of electrical circuits, electronic circuits, and electronic measurement, and to be able to operate an electron microscope and to analyze thin film materials.	Gas discharge plasma, Plasma process, Atmospheric pressure plasma, Plasma　jet,　Photoelectron　emission,　Photocathode,　Ultraviolet　absorption　spectroscopy,　Hydrogen　embrittlement, Microwave plasma, Pulse plasma
Space Instrumentation, Upper Atmospheric Physics, Image and Sound Processing, Science Education	Prof. Masa-yuki YAMAMOTO	Past Doctoral Students	Research Introduction
Metal-oxide Thin Films and Nanostructure Applying for Optoelectronic Devices	Prof. LI Chaoyang	Past Doctoral Students	Research Introduction	- Study or research background in materials science, particularly oxide-metal semiconductor material, optoelectronics, physics, and chemical physics - Experience in the fabrication and evaluation of nano-scale materials - Good English conversation and academic writing skills -Good IT skills to manage the data and simulation	Nanomaterial,Metal oxide, Solar cells, Antibacterial materials, Sensors, Phosphor
Materials Science and Engineering of Optoelectronic Thin Films	Prof. Hisao MAKINO	Past Doctoral Students	Research Introduction	- Pysical vapor deposition - Characterization methods of structural, electrical, and optical properties of materials -Basic knowledge on physics of semiconductor, surface science, properties of metal oxides	Transparent conductive oxides, Oxide semiconductors, Thin film technology, Magnetron sputtering, Electrical properties, Electronic structure, Plasma process, Surface analysis
Nanomaterials and Thin Film Technology for Advanced Energy and Photonic Devices	Prof. Hiroshi FURUTA	Past Doctoral Students	Research Introduction Research Introduction	- Knowledge of fundamental condensed matter physics, electromagnetism, thermodynamics, - Strong analytical and problem-solving abilities - Technical writing and presentation skills to communicate research. - Ability to work in collaborative, multidisciplinary team - Experience with advanced research eequipment and facilities. - Creativity and innovative thinking to develop novel solutions in nanotechnology and energy applications.	Thin film technology, Nanomaterials, Condensed matter physics, Applied Optics/Quantum Optics, Energy devices (electricity generation, storage, conversion), Metamaterials, Neuromorphic devices
Computer Architecture and LSI Design	Prof. Yukio MITSUYAMA			-Digital design and computer architecture - LSI design: RTL design, FPGA design, HLS design - Embedded software programming: C/C++, Python - Communication and writing skills in English	SoC, Heterogeneous processor, Reconfigurable architecture, FPGA, RISC-V, Accelerator, Embedded system, Machine learning, Autonomous driving, Soft erorr, Dependability
Computer Science and Engineering	Prof. Yukinobu HOSHINO	Past Doctoral Students	Research Introduction	-Deep knowledge in image processing, image feature descriptors - Deep understanding in machine learning - Boosting, decision tree algorithms,etc -C++, OpenCV, FPGA programming language -Understanding in human emotion and sense -Computer vision, image processing - Modeling date by machine learning and reasoning	Fuzzy logic, Neural networks, Machine learning, Multi-agent systems, SoC, Embedded systems, Human interfaces, Usability
Optics, Quantum physics	Prof. Hirokazu KOBAYASHI			-Undergraduate level mathematics (calculus and linear algebra) - Geometric optics, wave optics, polarization optics - Quantum physics	Optical vortex, Singular optics, Laguerre Gaussian beam, Spatial light modulator, Digital micromirror device (DMD), Optical measurement, Optical communication, Quantum optics, quantum measurement, Photon pair
Optical measurement and imaging	Assoc. Prof. Shuji TAUE		Reserch Introduction 1.pdf Research Introduction 2.pdf	-Basic understanding of physics, electromagnetics, and optics - Ability to use development tools such as Matlab, Labview and BeamProp for measurement and analysis	Optical sensors, Magnetometer, Refractometer, Biosensor, Magnetic Particle Imaging, Optically pumped magnetometor, Single-pixel imaging, Compressive Sensing
Wearable system, Microwave engineering, High-frequency electronics	Assoc.Prof. Akihito NODA		Research Introduction	- Fundamental knowledge of electronic circuits, electromagnetics, and instrumentation engineering - Experiences on computer simulations of electromagnetic fields (e.g.CST) and circuits (e.g.LTspice) -Programming skills with C/C++/C#/Python/Arduino	Microwaves, Two-dimensional communications, Wireless communications, Wireless power transfer, Wearable systems
VLSI	Assist. Prof. LIAO Wang		Research Introduction	- Self-motivation and strong interest in circuits - Fluent English (necessary) and Japanese (preferred, related to collaboration in experiments) - Functional level of skill in use of software (C/C++, python etc.) - Functional knowledge of VLSI	Very-large scale integration (VLSI) design, Soft error, Fault-tolerant quantum computer (FTQC), Quantum error correction (QEC)

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Architecture and Infrastructure Design (Kami campus)

Research Field	Project Leader	Past Doctoral Students	Research Introduction	Required Skills and Knowledge	keyword
Concrete Engineering	Prof. Masahiro OUCHI	Past Doctoral Students	Research Introduction	- Fundamental of concrete engineering, especially fresh concrete and mix-proportioning	Self-Compacting concrete, Fresh concrete, Chemical admixture
Traffic Engineering and Infrastructure Planning, Transportation Planning and Management	Prof. Hiroaki NISHIUCHI		Research Introduction	- Knowledge on Traffic engineering, infrastructure planning and statistics - Knowledge of transport and infrastructure panning, and public transport management including the use of MaaS and statistics - Programming skills and knowledge of relevant computer technolgies, including Python, R, and SPSS	Mixed traffic flow, Air polution, Travel behavior model, Public transport service
Seismic design, Reinforced Concrete, Composite structure	Assoc. Prof. Suguru SUZUKI		Research Introduction	-Knowledge of basic structural mechanics and reinforced concrete structure - Experience with simple structural experiment	Reinforced concrete, Composite structure, Structural analysis

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Engineering Science (Kami campus)

Research Field	Project Leader	Past Doctoral Students	Research Introduction	Required Skills and Knowledge	keyword
Synthetic Organic Chemistry	Prof. Nagatoshi NISHIWAKI	Past Doctoral Students	Research Introduction	-Fundamental knowledge for organic chemistry - Skills for structural determination (NMR, MS, IR) - X-ray analysis, calculation of molecular orbital (if possible)	Heterocyclic compounds, Nitro chemistry, Functionalized synthetic unit, Cycloaddition
Thin-film electronics and devices	Prof. Mamoru FURUTA	Past Doctoral Students	Research Introduction	- Thin-film deposition (Sputtering, CVD) - Thin-film characterization (Hall, XRD, XPS, Optical measurements) - Device fabrication process (photo lithography, wet/dry etching) - Device characterization (electrical measurements)	Oxide semiconductors, Thin-film transistor, Flat panel displays, Flexible devices
Molecular Developmental Biology	Prof. Yusuke KAMACHI	Past Doctoral Students	Research Introduction	- A strong foundation in molecular and cellular biology - Familiarity with developmental biology (preferred) - Proficiency in general molecular biology techniques	Vertebrate　embryo　development,　Zebrafish,　Gene　regulation,　Transcription　factors,　Cell　differentiation, Genome editing technology, Gene tagging technology
Molecular Biology Molecular Genetics	Prof. Seiji TANAKA		Research Introduction	- A solid understanding on molecular biology, cell biology, and molecular genetics - Basic knowledge of the eukaryotic cell cycle (preferred) - General molecular biology skills	Cell cycle, DNA replication, CDK, Budding yeast
Chromosome Biology Chromosome Engineering	Prof. Kojiro ISHII		Research Introduction	- A solid understanding of molecular biology, cell biology and genetics - An understanding of chromosome biology andchromosome engineering (preferred) - General skills for molecular biology and cytogenetics	Chromosome, Centromere, Telomere, Mitosis, Meiosis, Ploidy, Cancer, Evolution
Catalysis Metallurgy Electrochemistry Electron microscopy	Prof. Takeshi FUJITA		Research Introduction	-Strong English reading skill and writing skill suffient for publication in well-organized academic journals - Basic knowledge of metallurgy, electrochemistry and microscopy - High motivation toward research	High entropy alloy, Water splitting, Characterization of microstructures, Nanoporous metal
Functional Nanochemistry and Physical Chemistry	Prof. Masataka OHTANI		Research Introduction	- Fundamental knowledge and skills in the synthesis of organic, inorganic, and polymer materials - Basic knowledge of electron microscopy and X-ray diffraction to analyze the structure of nanomaterials - Fundamental knowledge of catalyst chemistry	Porous nanomaterials, Metal-organic frameworks (MOFs), Porous coordination polymers (PCPs), Covalent organic frameworks (COFs), Catalysts, Gas adsorption/sepration materials, Thermodynamic analysis, Electron microscopy, Electron-diffraction crystallography
Photochemistry	Prof. Akitaka ITO		Research Introduction	- Photochemistry and coordination chemistry - Fundamental experimental manipulations - Operating absorption/emission spectrometers and pulsed laser	Luminescent materials, Excited-state dynamics, Intramolecular charge transfer, Photoinduced reactions, Solar-energy conversion
Plant Functional Morphology	Assoc. Prof. Takao OI Currently not available		Research Introduction	- A solid understanding of basic biology and chemistry - An understanding of cellular biology or plant physiology (preferred) - General communication skills	Plants, Chloroplasts, Photosynthesis, Electron microscope, Image analysis, Three-dimensional morphological analysis, Quantitative morphology

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Informatics (Kami campus)

Research Field	Project Leader	Past Doctoral Students	Research Introduction	Required Skills and Knowledge	Keyword
-Human Color and Visual Information Processing Investigated by Psychophysical Approaches and Development of Applications with Computational Model Simulation - Brain Information Processing for Affective (Kansei) Response Investigated by Simultaneous Non-Invasive Brain Measurement and Psychohysical Approaches, and Development of Brain Function Models - Elucidtion of the Affective (Kansei) Response Determination Mechanism through the Development of Precise and Stable Methods for Affective Response Measurement	Prof. Keizo SHINOMORI	Past Doctoral Students	Research Introduction	- Some background in vision, brain and /or psychological research is strongly preferred - Ability to communicate effectively in English, including writing research papers in English - Ability to adapt quickly to new research area - Ability to collect, analyze, and report to English research publications - High motivation to conduct basic research on human factors - Programming skill (MATLAB) and strong ability in mathematics are preferred - Experience with EEG and fMRI measurements is preferred (Only in the second research field)	Color vision, Vision psychophysics, Vision Affective science, Kansei, fMRI, Brain recording, Affective science, Kansei, Brain information modeling
Human-Engaged Computing Human-Computer Interaction	Prof. Xiangshi REN	Past Doctoral Studetns	Research Introduction Research Lab Introduction	-Strong background in Computer Science, AI, Design, Psychology or Neuroscience - Strong communication ability and interpersonal skills - Strong reading, verbal and written English - Software (e.g.experimental tools) development skills	Human performatnce models, Multi-touch interaction, Haptic interaction, Gesture input, Game interaction, Mindfulness interaction, User interfaces for older users and for people with visual impairments, VR/AR/XR, AI
Cognitive Neuroscience, Functional Brain Imaging	Prof. Kiyoshi NAKAHARA	Past Doctoral Students	Research Introduction Research Lab Introduction	-Strong background in cognitive neuroscience, cognitive psychology, or human informatics, Python or MATLAB programming skills a plus	Learning and memory, Cognitive control, Functional magnetic resonance imaging (fMRI)
Signal Processing for Virtualization Technology Environments	Prof. Masahiro FUKUMOTO	Past Doctoral Students	Research Introduction	- Algebra, Linear algebra - Information theory - Programming (C Language, etc.) - IP network	Distributed information processing system, Network virtualization, New generation network test bed
Wireless Communications and Networking	Prof. Masanori HAMAMURA	Past Doctoral Students	Research Introduction 1 Research Introduction 2	- Knowledge of and skills in communication systems, information theory, signal processing, statistics and the like - Programming skills (MATLAB, Python, C) - Publication of least one technical paper in English as primary author - Experience in the building of experimental systems for wireless links and the measurement of their performance (preferred)	Signal design, Spectral efficiency, SEFDM, Efficient network
Advanced network services in medical field	Prof. Mikifumi SHIKIDA		Research Introduction	- C language - Network programming - Machine learning	Medical education, Diabetes care, Communication robot, Machine learning for electrocardiograms
Game Informatics and Deep Learning	Prof. Kiminori MATSUZAKI	Past Doctoral Students	Research Introduction	- Excellent programming skills in C++ and Python - Good understanding of mathemetics - Good understanding of basic deep learning methods	Games, Game AI, Deep learning, AlphaZero
Human Perception and Cognition using VR and fMRI	Prof. Hiroaki SHIGEMASU	Past Doctoral Students	Research Introduction	- Programing skills (C/C++/C#/Matlab/Python/R), - Statistical Analysis (including Hypothetical Testing) - English writing skills - Experimental Design for Human Subjects	Virtual reality, Metaverse, fMRI, Spatial/3D perception, Cognitive science, Experimental psychology, Vision Science, Multimodal perception, Embodiment
Artificial Intelligence	Prof. Shinichi YOSHIDA	Past Doctoral Students		- Machine learning - Neural Network - Deep Learning - Programming for Deep Learning with Linux-based GPU workstations on the Network	Computational intelligence, Soft computing, Machine learning, Image recognition, Medical data processing, Neuroscience
Computer vision and its application	Prof. Toru KURIHARA		Research Introduction	- Image processing, image acquisition, machine vision - Mathematics, especially linear algebra and statistics - Programming (C/Python) - Ability to communicate and discuss in English	Computer vision, Deep learning, Image based measurement, Image sensing, Image understanding
Neuroscience	Prof. Masaki TAKEDA		Research Introduction	- Good English communication and writing skills - Strong research background in neuroscience or related area - Familiarity with Matlab and/or Python, and statistical methods-programming skills would be a plus	Memory, Sleep, Functional imaging, Neuromodulation, Deep learning
Reinforcement learning and heuristic search	Prof. Wei Ting Han		Research Introduction	- C++/Python programming - Ability to read, write, and present technical papers in English - Experience with deep learning and reinforcement learning preferred	Artificial intelligence, Deep learning, Reinforcement learning, Heuristic search, Games research
System neuroscience	Assoc. Prof. Hiroshi KADOTA		Research Introduction	- Motor cotrol - Neuroscience	Human motor control, Neuroscience
Game Informatics	Assist. Prof. Shogo TAKEUCHI		Research Introduction	- Background in computer science - Strong interest in game informatics - Programming skill in C++, Java, Python, and similar programming languages - Ability to communicate and discuss in English	Game AI, Cooperation, Diversity, Search Algorithm, Learning

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Data and Innovation(Eikokuji campus)

Research Field	Project Leader	Past Doctoral Students	Reserch Introduction	Required Skills and Knowledge	Keyword
Gerontechnology, Well-being Information Technology, Software Engineering, AI Educational Engineering	Assoc. Prof. Sachio SAIKI		Research Introduction	-Web Application Development - Basics of statistics and informatics analysis necessary for data acquisition, analysis, and interpretation	Dementia, MCI, Super-aging society, Software development, Human-Centered AI, Educational Technology

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Economics and Management(Eikokuji campus)

Research Field	Project Leader	Past Doctoral Students	Reserch Introduction	Required Skills and Knowledge	Keyword
Experimental Economics, Environmental Economics, Future Design, Climate Change	Prof. Koji KOTANI	Past Doctoral Students	Research Introduction Research Introduction 2	- Intermediate Level of Economics - Mathematics - Calculus - Linear algebra - Statistics	Sustainability, Future possibility, Climate change
Cultural evolution	Prof. Yutaka KOBAYASHI		Research Introduction	- Basic knowledge of biology, mathematics, statistics - Some experiences of programming - Interests in cultural evolution and social/behavioral science	Cultural transmission, Social learning, Innovation, Evolutionary biology, Laboratory experiment, Mathematical model, Computer simulation
Social Cognitive Neuroscience	Prof. Keise IZUMA		Research Introduction	- Strong intellectual curiosity about psychology and neuroscience concerning human social cognition - Proficiency in programming language (e.g., Matlab, Python) - Demonstrable good written and oral communication skills - Relevant experience in conducting psychological research behavioral experiments - Evidence of an advanced understanding of statistical analysis and its interpretation	Social decision, Self attitude, fMRI

Research Field

Project Leader

Past Doctoral Students

Reserch Introduction

Required Skills and Knowledge

Keyword

Experimental Economics, Environmental Economics,
Future Design,
Climate Change

Prof. Koji KOTANI

Past Doctoral Students

Research Introduction

Research Introduction 2

- Intermediate Level of Economics
- Mathematics
- Calculus
- Linear algebra
- Statistics

Sustainability, Future possibility, Climate change

Cultural evolution

Prof. Yutaka KOBAYASHI

Research Introduction

- Basic knowledge of biology, mathematics, statistics
- Some experiences of programming
- Interests in cultural evolution and social/behavioral science

Cultural transmission, Social learning, Innovation, Evolutionary biology, Laboratory experiment, Mathematical model, Computer simulation

Social Cognitive Neuroscience

Prof. Keise IZUMA

Research Introduction

- Strong intellectual curiosity about psychology and neuroscience concerning human social cognition
- Proficiency in programming language (e.g., Matlab, Python)
- Demonstrable good written and oral communication skills
- Relevant experience in conducting psychological research behavioral experiments
- Evidence of an advanced understanding of statistical analysis and its interpretation

Social decision, Self attitude, fMRI

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Admission

Special Scholarship Program(Doctral Program, SSP)
Special Scholarship Program(Doctral Program, SSP)(2019~April2024)
CSC-KUT Scholarship Program (Doctoral Program)
Other Postgraduate Programs
- Standard Program Application Guidelines for Prospective Students
- List of Required Standard Program Application Documents for Prospective Students
Other Postgraduate Programs(~April 2019)
Non-degree Program