ESEP-G 2020 List of Host Laboratories 
The program period for all laboratories in 2020 will be June 8 to July 17.      
@ Department Title Host Professor  Research Topic & Research Description  Special academic conditions required for research Campus
@ 1) Prerequisite knowledge and/or special skills and level of proficiency 2) Required academic background 3)  Academic or research project experiences beneficial during selection process 4) Other conditions
1 Civil Engineering Associate Professor Di SU Bridge Engineering, Structural Dynamics
Structural mechanics and dynamics, basic programming knowledge Civil Engineering None undergraduate and  graduate students      Hongo
2 Mechanical Engineering/ Bioengineering Professor

Associate Professor
Kanako HARADA 
Microsurgical robots:
participant(s) will join one of our projects and study surgical robotic design, control, or simulation. The detailed topic will be determined considering the preference, experience and ability of each participant.
Programming in C++ Mechanical Engineering or Computer Science Robotics
Image processing
undergraduate and  graduate students      Hongo
3 Mechanical Engineering Distinguished Professor Shigeo MARUYAMA The research topic is Synthesis of hetero nanotubes for solar cells.
We will study the synthesis of novel hetero nanotubes such as BN nanotubes and MoS2 nanotubes concentrically grown on single-walled carbon nanotubes. The characterization and application in solar cells would be explored.
Basic knowledge of chemistry, physics, materials and engineering Graduate level in chemistry, physics, materials, or mechanical engineering Experience in characterization of nano-materials using SEM, TEM, Raman, PL and absorption spectroscopy are preferred. undergraduate and  graduate students      Hongo
4 Mechanical Engineering Professor Yuji SUZUKI "Laser diagnostics of flame to wall interaction"
The wall effect is crucial for various combustors including internal combustion engines.  However, especially, the knowledge on the wall chemical effect, by which the intermediate species in the flame are destructed through the surface reaction on the wall surface, is limited.  In this topic, planar laser induced fluorecence will be used to characterize the wall chemical effect in a combustor.
basic skill in programing

combustion phenomena
reaction kinetics
Mechanical engineering
Chemical engineering
Laser-based measurement
Experiments related to heat transfer
Gas chromatography
graduate students  
5 Mechanical Engineering Professor Junichiro SHIOMI Thermal energy engineering: Computational design or experimental improvement of thermoelectric materials or devices
Basic skills in programming or heat transfer experiments.  Mechanical Engineering, Physics, Materials Engineering, or Electrical Engineering Any problem solving experience using computation or measurements undergraduate and  graduate students      Hongo
6 Precision Engineering Professor Masanori  KUNIEDA Study on micromachining by electrochemical machining and electrical discharge machining
Anyone who is interested in material processing technologies is welcome. Anyone who is interested in micromachining, materials processing technologies, manufacturing, production engineering, etc. is welcome. Micro-machining in many cases involves multi-physics phnomena. Any students who have fundamental knowledge about physics, mechanical engineering, materials,  electrochemistry, and electrical engineering, etc. are welcome.@ undergraduate and  graduate students      Hongo
7 Precision Engineering Professor Yasuhiko JIMBO Research Topic:Modeling bilogical system on a chip
Research Description: We will model a biological system on a chip with microfabrication techniques, and evaluate functional interaction by electrical recording.
(e.g. sympathetic innervation on cardiomyocytes, connection between cerebral cortex and hippocampus )
Anyone who is interested in biological system or microfabrication technologies is welcome. Not strictly required but better to have biomedical engineering or biological background. Any project related to biological system would be beneficial.  
graduate students    
8 Systems Innovation Professor Jun TAKAHASHI  Advanced Composite Material Technology for Future Society
- CFRTP for the Future Transportation Society
- Innovative Simulation Technology for New Services
- Hybrid Materials for Improving Social Resilience
Mechanics of materials
Strength of materials
Mechanics of materials
Strength of materials
Composite material
Carbon fiber reinforced plastics
undergraduate and  graduate students      Hongo
9 Systems Innovation Professor Seiichi KOSHIZUKA@ Students will participate in the research activities in the ongoing projects in Koshizuka- Shibata Laboratory. The projects are of computer simulation and computer graphics using particle methods: for example, fluid dynamics, solid dynamics, flow in a mixing tank, rain water infiltration in a car, flooding, tsunami, etc.
Experience of computer programming using C or other languages.
Knowledge of basics of fluid dynamics.
None None undergraduate and  graduate students      Hongo
10 Aeronautics and Astronautics Associate Professor Taro IMAMURA Aerodynamic flow analysis around aero-components of an aircraft using in-house computational fluid dynamics program, UTCart.
Windows OS
Microsoft Word, Excel, Powerpoint
Fluid dynamics (incompressible, compressible)
Computer science
Aircraft Dynamics
Aircraft Designing
undergraduate and  graduate students   

Interest in aeronautics

11 Electrical Engineering and Information Systems/ Electrical and Electronic Engineering Professor Yoshiaki NAKANO  Semiconductor optoelectronic materials, devices, and circuits
Description: Compound semiconductor material and device technologies for semiconductor lasers, optical modulators/switches, photonic integrated circuits, and high efficiency solar cells are studied.
None Basic study on optics and semiconductor physics None undergraduate and  graduate students      Hongo,
12 Materials Engineering Professor

Takeshi  MOMOSE
gThin film deposition and characterization for device applications.h
 Nitride semiconductor (GaN/AlN), metallic films (Cu, Ni, Ru, Co), ceramic thin films (AlN, TiN, BN) will be synthesized by Chemical Vapor Deposition (CVD), Atomic Layer Deposition (ALD), or Supercritical Fluid Deposition (SCFD). The chemical bonding states of these materials will be analyzed by XPS (X-ray photo-electron spectroscopy. The surface structure will be observed by AFM (Atomic Force Microscopy), and their crystal structure will be discussed based on XRD (X-ray diffraction) measurements.
Special knowledge/skills are not required. Basics of solid state physics and chemistry are required. If the applicant has experiences on operating vacuum equipment and knows about the characterization of solid materials, it will be appreciated. undergraduate and  graduate students      Hongo
13 Materials Engineering Professor Kazuki MORITA Thermodynamics and/or physical properties on molten oxides.
High temperature physical chemistry on iron and steel making.
Development of purification process of solar grade silicon via metallurgical route.
Knowledge of Chemical Thermodynamics and Kinetics related to Materials Processing Materials Science None undergraduate and  graduate students      Hongo
14 Materials Engineering Professor Satoshi WATANABE Development of interatomic potentials for molecular dynamics simulations via machine-learning:
This project aims at establishing methodology to construct interatomic potentials for molecular dynamics (MD simulations using neural network. Examples of specific tasks are improvement of algorithm, improvement of training data sampling, training of neural network potential (including its performance test), and obtaining training data.
None Basic knowledge on solid state physics or materials science. Specifically, on atom dynamics in solids.  Molecular dynamics simulation; Python programming; machine learning; numerial analysis undergraduate and  graduate students      Hongo
15 Materials Engineering Associate Professor Hirotaka EJIMA  Our research topic is bioinspired materials. Recently, we've developed a rapid and simple coating method based on the one-step assembly of metal-polyphenol network (MPN, Science, 2013, 341, 154–157.). Purpose of this project is to engineer cells and extracellular vesicles' surface by using the MPN coating.
The basic knowledge on chemistry and biology. Not strictly required but better to have chemistry or biochemistry or materials science background.  None undergraduate and  graduate students      Hongo
16 Materials/
Professor Keiichi EDAGAWA

Physical properties of quasicrystals: sample preparation by arc-melting and annealing, sample characterization by X-ray, TEM, etc., and physical property measurements

Basic knowledge of materials science Materials science, Solid state physics Experiments related to materials science graduate students      Komaba
(Institute of Industrial Science)
17 Bioengineering/
Precision Engineering
Lecturer Keiichi NAKAGAWA 1) Ultrafast imaging: we will build an optical system and perform imaging of ultrafast plasma dynamics in laser processing.
2) Biophotonics: we will develop a new photoacoustic method to guide visible light into deep brain site.
3) Mechanobiology: we will conduct the biological experiment to understand acoustic interaction with cells.
None None Optical engineering, and
Physics (for topic 1),
Brain Science (for topic 2),
Cell Biology (for topic 3)
undergraduate and  graduate students      Hongo
18 Nuclear Engineering and Management/ Systems Innovation Professor Hiroaki ABE Nuclear materials related fundamental science
Irradiation effects in metallic materials
Electron microscopic observations
Mechanical property measurements
Materials science
Interests in nuclear engineering
Materials science Experiences and safety knowledge in handling chemical solutions undergraduate and  graduate students     

Two times experiments are scheduled in Tokai (Ibaraki).  The accommodation fee  (about 4,000 yen)  in Tokai should be paid from the stipend.
19 Nuclear Engineering and Management Professor Yasumasa FUJII Nuclear Energy Systems Analysis under Long-term Uncertainty

Mathematical programming techniques, such as stochastic dynamic programming, are applied to evaluate the long term optimal development path of energy systems including radioactive waste management for nuclear power generation.
Nuclear power generation, Nuclear materials and nuclear fuels, Radioactive waste manegement, Programming of Matlab and C language Nuclear Enegineering, Engineering and Society, Enrionmental Sustainability in Engineering Project experience in analyzing sustainability of nuclear energy system including radioactive waste management is desirable. Should have solid understanding of  relationship between nuclear industry and surrounding communities as well as general society.

graduate students

Modern knowledge of nuclear policy & nuclear waste policy is desired.  

 As of November 8, 2019