Dr. Hsin-Hsiung Bill Huang is an Associate Professor in the Department of Statistics and Data Science at the 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 the BA in Economics and BS in Mathematics degrees from National Taiwan University. His scholarly interests and expertise include Bayesian ultrahigh dimensional variable selection, regularized low-rank matrix-variate regression, clustering, classification, and dimension reduction.

His research addresses challenges in analyzing big data, interdisciplinary research, and developing new statistical methods for real-data challenges. He has developed new statistical methods for computed tomography (CT), developing a statistical reconstruction algorithm for positronium lifetime imaging using time-of-flight positron emission tomography (PET) and interdisciplinary research of developing algorithms for threat detection and large spatiotemporal data modeling challenges. He was awarded the UCF Research Incentive Award (RIA) in 2021. His current research is partially sponsored by his grants of the Algorithms of Threat Detection (ATD 2019: DMS-1924792 and ATD 2023: DMS-2318925) of the National Science Foundation (NSF) as a principal investigator (PI) and an NIH grant as a co-investigator. His team–UCF has won the top places in a row of the 2021, 2022 and 2023 ATD challenge competitions.

2023 ATD Award     2022 ATD Award     2021 ATD Award


Variable Selection, Multiple Comparisons, Cluster Process, Robust Dimension Re­duction, Bioinformatics, Biostatistics, and Computational Biology

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