Dimensionality Reduction in Data Science
暫譯: 數據科學中的降維技術

Max H. Garzon is professor of computer science and bioinformatics at the U of Memphis. He has (co-)authored about 200 books, book chapters, journal or refereed conference publications. The main theme of his research is biomolecule-based computing and applications to areas such as bioinformatics, nanotechnology, self-assembly, machine learning and foundations of data science. He has served on the editorial board and as guest editor of several journals and as mentor of about 90 MS and PhD students in these areas. He has also served as TPC member and organizer of many scientific conferences and professional meetings and has been a visiting professor and guest scientist at several research institutions around the world.
Ching-Chi Yang is an assistant professor of mathematical sciences at the University of Memphis. He received a doctoral degree in statistics from The Pennsylvania State University in 2019. His primary interests focus on statistical learning, dimensional analysis, industrial and engineering statistics, response surface methodology. His related research projects vary from response surface methodology, tropical cyclone predictions, to stock price predictions. He has received awards including the American Society for Quality 2018 Fall Technical Conference Student Scholarship, and Jack and Eleanor Pettit Scholarship in Science from Penn State University.

Deepak Venugopal is an associate professor in the department of Computer Science at University of Memphis. His research interests lie in the fields of Machine Learning and Artificial Intelligence. In particular, he has made research contributions to statistical relational learning, Neuro-Symbolic AI, explainable AI and AI-based educational technologies. Dr. Venugopal regularly teaches Machine learning and AI courses both at the graduate and undergraduate levels.
Nirman Kumar is an assistant professor of computer science at the University of Memphis since 2016. His research area is approximation algorithms and Computational geometry. Nirman holds a Phd and Masters degree in Computer Science from the University of Illinois, and a Bachelors degree in Computer Science and Enginnering from the Indian Institute of Technology, Kanpur.
Kalidas Jana is post-doctoral research fellow in Economics and Data Science at the University of Memphis. He received Ph.D. in Economics from North Carolina State University in 2005. His research interests are in Econometrics and Data Science.
Lih-Yuan Deng received the B.S. and M.S. degree in Mathematics from National Taiwan University, Taiwan in 1975 and 1977, respectively. He also received M.S. and Ph.D. degrees in Computer Science and Statistics from University of Wisconsin-Madison, USA in 1982 and 1984, respectively. He is currently professor in the department of Mathematical Sciences, University of Memphis, USA. His active research work is mainly in the area of "design of random number generators" for computer simulation and computer security applications.

Max H. Garzon 是孟菲斯大學計算機科學與生物信息學的教授。他（共同）撰寫了約200本書籍、書章、期刊或經過審核的會議出版物。他的研究主要主題是基於生物分子的計算及其在生物信息學、納米技術、自組裝、機器學習和數據科學基礎等領域的應用。他曾擔任多本期刊的編輯委員會成員和客座編輯，並指導約90名碩士和博士生。他還擔任過許多科學會議和專業會議的程序委員會成員和組織者，並在全球多個研究機構擔任訪問教授和客座科學家。
Ching-Chi Yang 是孟菲斯大學數學科學的助理教授。他於2019年在賓夕法尼亞州立大學獲得統計學博士學位。他的主要研究興趣集中在統計學習、維度分析、工業與工程統計、響應面方法學。他的相關研究項目涵蓋響應面方法學、熱帶氣旋預測以及股票價格預測等領域。他曾獲得包括美國質量學會2018年秋季技術會議學生獎學金和賓州州立大學的Jack and Eleanor Pettit科學獎學金等獎項。

Deepak Venugopal 是孟菲斯大學計算機科學系的副教授。他的研究興趣在於機器學習和人工智慧領域。特別是，他在統計關係學習、神經符號人工智慧、可解釋的人工智慧和基於人工智慧的教育技術方面做出了研究貢獻。Venugopal博士定期教授研究生和本科生的機器學習和人工智慧課程。
Nirman Kumar 自2016年以來一直是孟菲斯大學的計算機科學助理教授。他的研究領域是近似算法和計算幾何。Nirman擁有伊利諾伊大學的計算機科學博士和碩士學位，以及印度理工學院坎普爾分校的計算機科學與工程學士學位。
Kalidas Jana 是孟菲斯大學經濟學和數據科學的博士後研究員。他於2005年在北卡羅來納州立大學獲得經濟學博士學位。他的研究興趣在於計量經濟學和數據科學。
Lih-Yuan Deng 於1975年和1977年分別在台灣國立台灣大學獲得數學學士和碩士學位。他還於1982年和1984年在美國威斯康辛大學麥迪遜分校獲得計算機科學和統計學的碩士和博士學位。他目前是美國孟菲斯大學數學科學系的教授。他的活躍研究工作主要集中在計算機模擬和計算機安全應用的“隨機數生成器設計”領域。