Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 222222
Loughborough University

Centre for Renewable Energy Systems Technology (CREST)

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Hiro Yoshino

Hiro Yoshino

PhD Research Student
BEng, MEng

Tel: +44 (0) 1509 635308

Location: MBG.0.L01, Garendon Wing

Hiro Yoshino received the Bachelor’s degree in engineering specializing in Pattern Recognition from Kobe University, Hyogo, Japan in 2006, and the Master’s degree in engineering specializing in Pattern Recognition from Tokyo Institute of Technology, Meguro Tokyo, in 2008.

He was with the Research Centre, Asahi Glass Company, Ltd., Yokohama, Japan from 2008 to 2012 as a researcher specializing in thermal fluid analysis. From 2012 to 2014 he was with AMETEK Co., Ltd., Tokyo, Japan as an applications engineer.

Hiro's research project is aimed at further extending the capability of the CCI to measure the roughness of buried interfaces in tow and three dimensions. This will involve the development of mathematical models and algorithms that account for filtering and error correction. Model test structures with well characterised metal-oxide systems will be constructed at CREST using existing magnetron sputtering tools.

The new buried interface metrology capability will then be used to measure the roughness between important systems such as transparent conducting oxide/cadmium sulphide and the cadmium sulphide/cadmium telluride interface. This improved understanding of these important interfaces will lead to ways to improve the device efficiency

Journals:

Hirokazu Yoshino, Chen Dong, Yoshikazu Washizawa, and Yukihiko Yamashita, “Kernel Wiener Filter and its Application to Pattern Recognition,” IEEE Trans. on Neural Networks, vol. 21, no. 11, pp.1719-1730, Nov., 2010.

Conferences:

Hirokazu Yoshino and Yukihiko Yamashita, “Pattern recognition by kernel Wiener filter,” Proc. of Signal Processing, Pattern Recognition, and Applications (SPPRA 2008), pp.7-12, Innsbruck, Austria, Feb 13-16, 2008.

Makiko Yonehara, Hirokazu Yoshino and et al, “Quantitative characterization of wrinkled textured surfaces using areal surface texture parameters based on geometrical product specifications, Proc. of 16th International Conference on Experimental Mechanics, Cambridge, United Kingdom, July 7-11, 2014.