深海科學目前在實驗設計以及數據收集、分析、解釋方面需要攻克許多技術難關。而利用數學和計算機工具可以輔助深海科學家和工程師們攻堅克難。不論是數學工具還是計算機工具，都有它們的優勢以及限制。通過了解科學上的問題和數據的特性，只要謹慎選擇，找到合適的工具并加以應用，應用數學可加強數據分析和研究結論的可靠性。數學除了對許多科學領域有價值外，它還是一門美麗的學科。
Deep Sea Science has to overcome many technical challenges in experimental design and in the collection, analysis and interpretation of data. There are many mathematical and computational tools that can assist Deep Sea scientists and engineers. Each tool has its own strengths and limitations. By understanding the properties of the problem and data, carefully selecting the right tools and applying them well, applied mathematics adds robustness to data analysis and conclusions. Besides being valuable to many scientific fields, mathematics is a beautiful subject.
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研究方向
o?數學與數值分析
o?統計學與實驗設計
o?數據分析?– 時間序列數據、傳統數據和大數據
o?機器學習與人工智能?– 多維數據、圖像識別
o?建模與仿真?
Research Areas
o?Mathematical and Numerical Analysis
o?Statistics and Experimental Design
o?Data Analysis?– time series,?traditional and big data
o?Machine Learning and Artificial Intelligence – high dimensional data, image recognition
o?Modeling and Simulation
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研究團隊
? Personnel?
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Philip A. Vetter?
????副研究員(Associate Researcher)
?擁有普林斯頓大學的數學學士學位；密西根大學安娜堡分校物理學碩士（主攻量子理論和電磁學）學位；杜克大學數學碩士學位；普林斯頓大學應用數學碩士學位。
2011年從事法律訴訟案件的顧問，提供統計分析依據。2012年-2015年在德克薩斯A&M大學的量子科學與工程研究所進行量子光學和自旋表示方面的研究。2017年進入美國NEC實驗室從事傳感器網絡的設計、建設、安裝、數據采集和時序數據分析等工作。
多年的研究經歷發現純數學的很多分支都是非常美麗的，并且致力于將它們應用于實際的科學和工程問題上。代數本身是美麗的，同時它在編碼數據方面也有非常重要的用途，例如：用于數據傳輸、存儲和檢索中的糾錯編碼。
Princeton University BA(Mathematics)
University of Michigan Ann Arbor MSc(Physics), quantum theory and electromagnetism
Duke University MA(Mathematics)
Princeton University MA(Applied and Computational Mathematics)
He has done statistical analysis for legal conflicts. He has worked in quantum optics and spin representations with the Texas A&M University’s Institute for Quantum Science and Engineering. At NEC Laboratories America he worked on sensor network design, construction, deployment, data acquisition and analysis of time series data.
He finds many branches of pure mathematics very beautiful, and enjoys their application to practical science and engineering problems.?Algebra is beautiful in itself and it also has very important uses in coding data, such as error-correcting codes for data transmission, storage and retrieval.
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當前研究課題
球面小波與球面數據表示
機器學習的算法
Current Research Projects
Spherical wavelets and representation of spherical data
Machine learning algorithms
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