杜風 108期 校友動態

校友黃鍔博士榮獲美國約翰霍金斯大學 2016 傑出校友獎



本系45級校友黃鍔博士(陳清泉老師的同班同學),現為美國工程院士、我國中央研究院院士及大陸工程院外籍院士,並於今年(2016)榮獲美國約翰霍金斯大學傑出校友獎(黃博士於1967年自約翰霍普金斯大學獲得流體力學博士學位)。

 

Johns Hopkins University
Distinguished Alumnus Award 2016
Norden Huang, Engr '67


Dr. Norden Huang is the K.T. Lee Chair Professor and the Director of the Research Center for Adaptive Data Analysis at the National Central University (NCU) in Taiwan. He holds a doctoral degree (1967) in Fluid Mechanics and Mathematics from Johns Hopkins University. Dr. Huang is a renowned scientist and prior to NCU, worked for NASA for over 30 years. His past work focused on nonlinear random ocean waves. Recently, he has devoted his time to the invention of a new data analysis method known as the Hilbert-Huang Transform (HHT). Over the last few years, he has applied this method to analyze data in the following areas: nonlinear ocean wave evolution data; earthquake signals and structure responses; bridge and structural health monitoring; biomedical signals such as blood pressure fluctuations; long term environmental data such as global temperature variations, Antarctic ice extents records, and solar irradiance variance; hydro- machinery design and machine vibration data. Dr. Huang has received numerous prestigious accolades and awards. He was awarded the 1998, 2003, and 2004 NASA Special Space Act Award for his work on designing and implementing the Hilbert-Huang Transform. He was also the winner of the 1999 Federal Government Technical Leadership Award; the 2001 Federal Laboratory Development Award, 2006 Service to America Medal for Science and Environment, and, for his contribution in the field of nonstationary and nonlinear data analysis, elected as a member of the National Academy of Engineering in 2000. Dr. Huang serves as an Associate Editor for Journal of Physical Oceanography, and Journal of Geophysical Research. He has published extensively on subjects covering data analysis method and its applications to natural science, engineering, biomedical, and financial problems.

(更多黃博士的介紹亦可見 Wikipedia 頁面  https://zh.wikipedia.org/zh-tw/%E9%BB%83%E9%8D%94

 


 

 

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