University of Central Florida
United States of America
Dr. Hsin-Hsiung is an Assistant Professor in the Department of Statistics at University of Central Florida (UCF). Dr. Huang received his Ph.D. in Statistics from the University of Illinois at Chicago and two MS degrees from the Georgia Institute of Technology and National Taiwan University as well as BA and BS from National Taiwan University. His scholarly interests and expertise include clustering, classification, dimension reduction, and Bioinformatics. His research addresses challenges in analyzing big data in bioinformatics and cybersecurity by developing and evaluating new statistical methods. Examples of his research projects include classifying multiple-segmented viruses, discovering the association of biomarkers and hypertension, as well as business intelligence classification.
Variable Selection, Multiple Comparisons, Cluster Process, Robust Dimension Reduction, Bioinformatics, Biostatistics, and Computational Biology
Chen Hand Huang H-H. Operating Characteristics of Cp-Lasso on Variables Selection in Linear Regression with Orthonormal Regressors. Academia Sinica technical report, 2009.
Lu A T-H, Austin E, Bonner A, Huang H-H, and Cantor RM, Applications of Machine Learning and Data Mining Methods to Detect Associations of Rare and Common Variants with Complex Traits, Genetic Epidemiology, 38(S1), 2014.
Huang H-H, Ensemble method of k-mer and natural vector for the phylogenetic analysis of multiple-segmented viruses, submitted under review, 2014.