Dimensionality Reduction in Data Science

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是田納西大學的計算機科學和生物信息學教授。他（合著）撰寫了約200本書籍、專書章節、期刊或會議論文。他的研究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。他曾擔任多個期刊的編輯委員會成員和客座編輯，並在這些領域指導了約90名碩士和博士研究生。他還曾擔任多個科學會議和專業會議的技術篩選委員會成員和組織者，並在世界各地的多個研究機構擔任訪問教授和客座科學家。

Ching-Chi Yang是田納西大學數學科學系的助理教授。他於2019年從賓夕法尼亞州立大學獲得統計學博士學位。他的主要興趣集中在統計學習、尺度分析、工業和工程統計學、響應曲面方法學等領域。他的相關研究項目包括響應曲面方法學、熱帶氣旋預測和股票價格預測。他曾獲得多個獎項，包括2018年美國質量學會秋季技術會議學生獎學金和賓夕法尼亞州立大學的Jack和Eleanor Pettit科學獎學金。

Deepak Venugopal是田納西大學計算機科學系的副教授。他的研究興趣涵蓋機器學習和人工智能領域。特別是他在統計關聯學習、神經符號人工智能、可解釋人工智能和基於人工智能的教育技術方面做出了研究貢獻。Venugopal博士經常在研究生和本科生課程中教授機器學習和人工智能。

Nirman Kumar自2016年起擔任田納西大學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在伊利諾伊大學獲得計算機科學博士和碩士學位，並在印度理工學院坎普爾分校獲得計算機科學和工程學士學位。

Kalidas Jana是田納西大學經濟學和數據科學的博士後研究員。他於2005年從北卡羅來納州立大學獲得經濟學博士學位。他的研究興趣包括計量經濟學和數據科學。

Lih-Yuan Deng於1975年和1977年分別在國立臺灣大學獲得數學學士和碩士學位。他還在1982年和1984年分別在威斯康辛大學麥迪遜分校獲得計算機科學和統計學碩士和博士學位。他目前是田納西大學數學科學系的教授。他的主要研究領域是為計算機模擬和計算機安全應用設計隨機數生成器。