深海科学目前在实验设计以及数据收集、分析、解释方面需要攻克许多技术难关。而利用数学和计算机工具可以辅助深海科学家和工程师们攻坚克难。不论是数学工具还是计算机工具，都有它们的优势以及限制。通过了解科学上的问题和数据的特性，只要谨慎选择，找到合适的工具并加以应用，应用数学可加强数据分析和研究结论的可靠性。数学除了对许多科学领域有价值外，它还是一门美丽的学科。
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.
研究方向
o 数学与数值分析
o 统计学与实验设计
o 数据分析 – 时间序列数据、传统数据和大数据
o 机器学习与人工智能 – 多维数据、图像识别
o 建模与仿真
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
研究团队
personnel
philip a. vetter
副研究员(associate researcher)
拥有普林斯顿大学的数学学士学位；密西根大学安娜堡分校物理学硕士（主攻量子理论和电磁学）学位；杜克大学数学硕士学位；普林斯顿大学应用数学硕士学位。
2011年从事法律诉讼案件的顾问，提供统计分析依据。2012年-2015年在德克萨斯a&m大学的量子科学与工程研究所进行量子光学和自旋表示方面的研究。2017年进入美国nec实验室从事传感器网络的设计、建设、安装、数据采集和时序数据分析等工作。
多年的研究经历发现纯数学的很多分支都是非常美丽的，并且致力于将它们应用于实际的科学和工程问题上。代数本身是美丽的，同时它在编码数据方面也有非常重要的用途，例如：用于数据传输、存储和检索中的纠错编码。
princeton universityba(mathematics)
university of michigan ann arbormsc(physics), quantum theory and electromagnetism
duke universityma(mathematics)
princeton universityma(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.
当前研究课题
球面小波与球面数据表示
机器学习的算法
current research projects
spherical wavelets and representation of spherical data
machine learning algorithms
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