Dimensionality Reduction in Data Science (PDF)

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