Ying Zhang

Ying ZhangDr. Ying Zhang is an associate professor in the Institute of Process Engineering, Chinese Academy of Sciences (IPE, CAS), who joined the faculty in 2011 after the graduation. She graduated from Central South University of China with BS degree in 2006 and received her Ph.D degree from the University of Chinese Academy of Sciences in 2011 in the research field of metallurgy. From February 2014 to November 2016, Dr. Zhang joined Prof. Zak Fang's research group in the University of Utah as a Post-doctor, working on the project of titanium metal powder production under the financial support from the DOE of US. Prior to that, Dr. Zhang was in charge of and participated in a few projects supported by either the Chinese government or industries, including NSFC, the Ministry of Science and Technology of China, Hunan Provincial Science & Technology Department, etc., focusing on the cleaner production of nonferrous metals (including Al, Cr, Zn and Cd). Now she continues her interests in the production of titanium-group metals under the financial support from NSFC as PI. Dr. Zhang has authored/co-authored over 30 publications and over 20 patents. Read More Read Less

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Dermal Needling Therapy64 %
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Using Educational Robots to Enhance Learning4 % NR
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Chinese Path Toward a Leaner Government37 %
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6gn for Future Wireless Networks37 %
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6gn for Future Wireless Networks37 %
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Innovation of Digital Economy37 %
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Chinese Path Toward a Leaner Government37 %
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Integrated Governance in Rural China: Case Study of Nanjiang County37 %
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Energy Efficient Computation Offloading in Mobile Edge Computing37 %
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Innovation of Digital Economy37 %
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Integrated Governance in Rural China: Case Study of Nanjiang County37 %
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Genetic Programming for Image Classification37 %
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Intelligent Machining of Complex Aviation Components37 %
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Energy Efficient Computation Offloading in Mobile Edge Computing37 %
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Data Augmented Design37 %
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Genetic Programming for Image Classification37 %
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Intelligent Machining of Complex Aviation Components38 %
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Data Augmented Design37 %
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Software Foundations for Data Interoperability and Large Scale Graph Data Analytics37 %
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