Introducing Our Advisors - Astraea-Software Co. LTD

Introducing Our Advisors




Yoshihiro Taguchi
Chuo University, Faculty of Science and Engineering
Professor, Doctor of Science, Department of Physics
Biography :
Apr 1988 - Mar 1997 Assistant in the Department of Physics, Faculty of Science, Tokyo Institute of Technology
Oct 1989 - Sept 1990 Researcher, Forschungszentrum Juelich GmbH, Federal Republic of Germany
Apr 1997 - Mar 2006 Assistant Professor, Faculty of Science and Engineering, Chung-Ang University
Apr 2006 - Current Professor, Faculty of Science and Engineering, Chung-Ang University
Mar 2009 - Mar 2010 Visiting Professor at the European Bioinformatics Institute

Education :
Mar-1984 Graduated from the Faculty of Science, Tokyo Institute of Technology, Department of Physics
Mar-1986 He studied physics at the Graduate School of Science and Engineering, Tokyo Institute of Technology
Mar-1988 He completed a postdoctoral degree in physics at the Graduate School of Science and Engineering, Tokyo Institute of Technology

Degree:
Doctor of Science (Tokyo Institute of Technology)

Affiliation :
Apr 1984 - Japan Physical Society
Jan 2006 - Japan Bioinformatics
Jan 2006 - The Society of Intelligence

Research Topics :
Apr 2012 - Mar 2015 Research on microRNA target-specific epigenetic markers using MiRaGE method
Apr 2012 - Mar 2015 Soil disease inhibition using biological multi-activity index
Apr 2012 - present Exploring miRNAs as disease-specific biomarkers
Apr 2013 - Mar 2015 Drug discovery based on protein function prediction using Fams
Apr 2014 - present Unsupervised variable selection using principal component analysis
Apr 2017 - present Unsupervised variable selection using tensor decomposition

Authors :

Y-h. Taguchi, Unsupervised Feature Extraction applied to bioinformatics, Springer International, (2020)
Yoshihiro Taguchi, Life is Made of Digital (Bluebacks, 2019)
Yoshihiro Taguchi, The Seven Mysteries of the Hourglass (Chuko Shinsho, 1995)

Papers :

Y-h. Taguchi, Turki Turki,
Mathematical formulation and application of kernel tensor decomposition based unsupervised feature extraction,
Knowledge-Based Systems,
Volume 217, 2021, 106834,

Y. -H. Taguchi and T. Turki,
“Application of Tensor Decomposition to Gene Expression of Infection of Mouse Hepatitis Virus Can Identify Critical Human Genes and Effective Drugs for SARS-CoV-2 Infection,”
in IEEE Journal of Selected Topics in Signal Processing,
vol. 15, no. 3, pp. 746-758, 2021
Other

Research Table :

Taguchi Yoshihiro ,
Data science using variable selection method by unsupervised learning using tensor decomposition,
AI・artificial knowledge can EXPO Spring Academic Forum,
28/04/2021,

Y-h. Taguchi, Turki Turki ,
In silico drug discovery for COVID-19 using gene expression profiles of mouse infected by MHV and those of human cell lines infected by SARS-CoV-2
7th Annual Congress of the European Society for Translational Medicine on Covid-19
21/09/2020,
Other

   
※For more details, click here to refer Advisor Taguchi's sensei laboratory website.


Yoshitaka Wada
Kindai University, Faculty of Science and Engineering
Professor, Department of Mechanical Engineering, Ph. D.
Biography :
Apr 1997 - Jan 2000 Assistant Professor, TEPCO Endowed Chair, Graduate School of Engineering, The University of Tokyo
Feb 2000 - Mar 2002 Invited Researcher, Research Organization for Advanced Information Science and Technology
Apr 2002 - Mar 2007 Lecturer, Faculty of Systems Engineering, Tokyo University of Science, Suwa
Apr 2007 - Mar 2012 Associate Professor, Faculty of Systems Engineering, Tokyo University of Science, Suwa
Apr 2012 - Mar 2017 Associate Professor, Department of Mechanical Engineering, Faculty of Science and Engineering, Kindai University
Apr 2017 - Current Professor, Department of Mechanical Engineering, Faculty of Science and Engineering, University

Education :
Apr 1989 - Mar 1993 Department of Mechanical Engineering, Faculty of Science and Engineering, Tokyo University of Science
Apr 1993 - Mar 1995 Graduate School of Science and Engineering, Tokyo University of Science, Department of Mechanical Engineering
Apr 1995 - Mar 1997 Department of Systems Quantum Engineering, Graduate School of Engineering, The University of Tokyo

Degree :
Ph.D. (Engineering)

Affiliations :
Japan Society of Mechanical Engineers (Fellow)
The Japan Society for Computational Engineering and Science (Director)
Society of Automotive Engineers of Japan
Japan Welding Engineering Society

Research Topics :
In 1998, he received his Ph.D. (Engineering) for his research on automatic element division methods for hexahedrons.
In February 2000, he was involved in the development of simulation-related programs (GeoFEM project) for the Earth Simulator, the world's fastest at the time, at the Research Organization for Advanced Information Science and Technology.
In 2002, he worked as a lecturer and associate professor at Tokyo University of Science, Suwa. In April 2012 he became an associate professor at Kindai University, and in April 2017 he became a professor at Kindai University.
Since 2016, he has been conducting research into whether crack propagation can be predicted using deep learning and how to speed up learning.
In particular, his research focuses on building CAE surrogate models for simulation-less systems.
Physical surrogate models are necessary for data augmentation for regression problems.

Papers :

Yoshitaka Wada
Building a surrogate model using deep learning
Plastics Molding, Vol.32, No.3, pp.37-41, 2020

Naoki Miura, Tomohisa Kumagai, Masanori Kikuchi, Akiyuki Takahashi, Yun-Jae Kim, Toshio Nagashima, Yoshitaka Wada
Benchmark Analysis of Ductile Fracture Simulation for Circumferentially Cracked Pipes Subjected to Bending,
Proc. ASME, PVP2017-6A, 2017

Yoshitaka Wada, Masanori Kikuchi, Shinji Yamada, Ryosuke Serizawa, Yulong Li
Fatigue growth of internal flaw: Simulation of subsurface crack penetration to the surface of the structure,
ENGINEERING FRACTURE MECHANICS, Vol.123, pp.100-115, 2014