Levine: Local and International Projects for Students, Okada: Intelligent Pattern Analysis, Yang: Data Mining and Applications in Bioinformatics and Nutrigenomics
Dr. Levine will describe several projects he is leading with both a local and international flavor. These projects include: a solar energy project performed in conjunction with the City of Oakland, a virtual science library project that will ultimately involve developing countries forming a federation for trusted exchange of resources, and contributions to open source projects such as the Sakai Course Management System.
Dr. Okada: My research group at SFSU conducts various projects in the fields of medical imaging, computer vision, artificial intelligence, and machine learning. We focus on figuring out computational principles of various intelligent phenomena, such as how radiologists detect lung tumors or how best to teach special education students. We achieve this by understanding what data tells us through analysis of patterns in such data. This talk outlines our research philosophy and showcases some of our award-winning research projects.
Dr. Yang: Data mining is the exploratory process of discovering meaningful patterns in a dataset. It has been successfully applied to a wide variety of applications, such as target marketing, fraud detection, and social network analysis. In this short talk, I will first give a brief introduction to data mining. I will then give a brief discussion of my ongoing research projects, where one applies data mining to address issues arising from bioinformatics and nutrigenomics.