報告題目：科學與創新：非線性科學的遠景（Science and Innovation: The Prospective of Nonlinear Science）
報告人：黃锷博士 美國工程院院士、中國工程院外籍院士
（Dr. Norden E. Huang, Member of the US National Academy of Engineering，Foreign Member of the Chinese Academy of Engineering）
報告時間：2022年5月10日下午3點
騰訊會議号：137 420 074
主辦單位：beat365正版唯一
協辦單位：江蘇省聲學學會水聲學專業委員會、beat365正版唯一水聲信号處理教育部重點實驗室
摘要：Innovations have to base on science. Now, we are facing a rare historic opportunity: the new developments of nonlinear science. We have in our hands new tools in data analysis method that will unshackle us from the suffocating hold of linear science from the dawn of science and move into real nonlinear domain. The changes are wide in scope as well as deep in their implications: we have to redefine frequency, expanding the concept of spectral analysis, probability density and quantifying nonlinearity and complexity. For example, the frequency would have instantaneous values and the spectrum would be a high dimensional manifold. The initial seminal single paper (Huang et al, 1998, Proceedings of the Royal Society of London, A454, 903-995) introducing this idea has been cited more than 25,000 times as of now (Google Scholar, May 2022). It was lauded by NASA as “one of the most important discoveries in the field of applied mathematics in NASA history”. This method could be applied from science to medical research. This talk will emphasize the basic ideas of nonlinear vs linear approach to problems. Some potential applications would include the following topics: Wave-turbulence Interactions, Brain Sciences and Potential Electric Pharmacy; Machinery Health Monitoring; Infrastructure Health Monitoring and Auditory Science, Hearing Aids.
報告人簡介：Dr. Norden Huang is the founding director of aidiSCITECH Research Institute, Jiangbei New Area, Nanjing, and the Innovation Center at the First Institute of Oceanography, FIO, Qingdao. He has a DS Degree in Civil Engineering from National Taiwan University in 1960, and a PhD degree from Johns Hopkins University in Fluid Mechanics and Mathematics in 1967. He is the inventor of the Empirical Mode Decomposition, a data analysis method. For this invention, he was awarded the 1998 NASA Special Space Act Award with the citation: “Dr. Huang’s new method is one of the most important discoveries in the field of applied mathematics in NASA history”. Recently, he further proposed the new Holo-spectral analysis, which gives a more revealing spectral representation as a high dimensional manifold that made the Holo-spectral representation a versatile tool for study all nonlinear and nonstationary processes covering from turbulence to brain waves. Before his retirement in 2006, he was the Chief Scientist for Oceanography, NASA Goddard Space Flight Center. He is a member of the US National Academy of Engineering (with the citation: For contributions to the analysis of nonlinear stochastic signals and related mathematical applications in engineering, biology, and other sciences); an Academician of Academia Sinica, Taiwan, China; and a Foreign Member of the Chinese Academy of Engineering.
Current at aidiSCITECH, he is leading a group of young engineers to study dynamic function of the brain based on a novel nonlinear analysis method and an electroencephalogram system with the goal of establishing neurophysiological and psychiatric disorders, such as Depression, Alzheimer’s, Insomnia, ADHD, as a quantitative, evidence-based medicine. His final goal is to develop the Electric Pharmacy industry in China.
