SSP Supervisor List for Prospective Applicants

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If you are applying for the SSP with the application deadline of September 13th, 2024, please click here to view the SSP Research Project List.
If you are applying for the SSP with the application deadline of April 2025 or later, please refer to the SSP Supervisor List below.

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: September 13, 2024

Intelligent Mechanical and Aerospace Engineering (Kami campus)

Research Field	Supervisor	Past Doctoral Students	Research Introduction	Required Skills and Knowledge
Fuid dynamics of complex flulid and development of micro-mechanical elements	Prof. Tomohiro TSUJI	Past Doctoral Students	Research Introduction	- Fluid dynamics - Computer programing
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
Surface Science, Scanning Probe Microscopy, Single Atom/Molecule Manipulation, Nano-functional-materials/devices	Assoc. 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.)
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
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

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Electronic and Photonic Engineering (Kami campus)

Past Doctoral Students

Research Field	Project Leader	Past Doctoral Students	Research Introduction	Required Skills and Knowledge
	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.
	Prof. Masa-yuki YAMAMOTO	Past Doctoral Students
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
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
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.
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
Computer Science and Engineering	Assoc. 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 languages - Understanding in human emotion and sense - Computer vision, image processing - Modeling data by machine learning and reasoning
Optics, Quantum physics	Assoc. Prof. Hirokazu KOBAYASHI			-Undergraduate level mathematics (calculus and linear algebra) - Geometric optics, wave optics, polarization optics - Quantum physics
Optical measurement and imaging	Assoc. Prof. Shuji TAUE			-Basic understanding of physics, electromagnetics, and optics - Ability to use development tools such as Matlab, Labview and BeamProp for measurement and analysis
Microwave Engineering	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
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

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Architecture and Infrastructure Design (Kami campus)

Research Field	Project Leader	Past Doctoral Students	Research Introduction	Required Skills and Knowledge
Concrete Engineering	Prof. Masahiro OUCHI	Past Doctoral Students	Research Introduction	- Fundamental of concrete engineering, especially fresh concrete and mix-proportioning
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
Seismic design, Reinforced Concrete, Composite structure	Assist.Prof. Suguru SUZUKI		Research Introduction	-Knowledge of basic structural mechanics and reinforced concrete structure - Experience with simple structural experiment

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Engineering Science (Kami campus)

Research Field	Project Leader	Past Doctoral Students	Research Introduction	Required Skills and Knowledge
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)
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)
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
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
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
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
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
Photochemistry	Assoc. Prof. Akitaka ITO		Research Introduction	- Photochemistry and coordination chemistry - Fundamental experimental manipulations - Operating absorption/emission spectrometers and pulsed laser
Plant Functional Morphology	Assoc. Prof. Takao OI		Research Introduction	- A solid understanding of basic biology and chemistry - An understanding of cellular biology or plant physiology (preferred) - General communication skills

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Informatics (Kami campus)

Research Field	Project Leader	Past Doctoral Students	Research Introduction	Required Skills and Knowledge
-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)
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
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
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
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)
Advanced network services in medical field	Prof. Mikifumi SHIKIDA		Research Introduction	- C language - Network programming - Machine learning
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
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
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
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
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 astatistical methods-programming skills would be a plus
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
System neuroscience	Assoc. Prof. Hiroshi KADOTA		Research Introduction	- Motor cotrol - 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

Economics and Management(Eikokuji campus)

Research Field	Project Leader	Past Doctoral Students	Reserch Introduction	Required Skills and Knowledge
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
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
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

Research Field

Project Leader

Past Doctoral Students

Reserch Introduction

Required Skills and Knowledge

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

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

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

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