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Prof. Shao Hsien Chen | Smart machine | Best Researcher Award

Prof. Shao Hsien Chen,ย  National Chin-Yi University of Technology, Taiwan

Prof. Shao Hsien Chen is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

 

Professional Profiles:

Scopus

๐ŸŽ“ Academic Background:

B.S. degree from National Chin-Yi University of Technology, Taiwan, in 1992.M.S. and Ph.D. degrees from National Chung Cheng University, Taiwan, in 2001 and 2006, respectively.

๐Ÿ‘จโ€๐Ÿซ Professional Experience:

R&D manager at Ching Hung Machinery & Electric Industrial Co. LTD and AWEA Machinery & Electric Industrial Co. LTD, Taiwan, from 2005 to 2009.Professor at National Chin-Yi University of Technology since 2009.

๐Ÿ” Research Focus:

Smart machines, machine tool design, and superalloy machining.

๐Ÿ“Š Selected Research Highlights:

๐Ÿ” Utilized Neural Networks for cutting temperature prediction.๐Ÿ”„ Developed a Hybrid Optimization Algorithm for thermal displacement compensation.๐Ÿ› ๏ธ Explored the application of Response Surface Methodology in rigid tapping.๐Ÿ“ˆ Investigated the use of CNN-BP for Inconel-718 chip feature analysis.๐Ÿ”„ Applied Backpropagation Neural Model in automatic lubrication installation.๐ŸŒ Explored the integration of CNC Machine Tool with Plasma for online surface heat treatment.This comprehensive research portfolio showcases Dr. Shao-Hsien Chen’s expertise in advanced manufacturing technologies, optimization methodologies, and innovative applications in machine tool design. ๐Ÿš€๐Ÿ”ง

๐Ÿ“Šย Citation Metrics (Google Scholar):

Citations by: All โ€“ 215, Since 2018 โ€“ 158

h-index: All โ€“ 7, Since 2018 โ€“ 7

i10 index: All โ€“ 6, Since 2018 โ€“6

Prof. Shao Hsien Chen | Smart machine | Best Researcher Award

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