Dr. Hsin-Hsiung “Bill” Huang is a Professor in Statistics and Data Science at the University of Central Florida (UCF). He earned his Ph.D. in Statistics from the University of Illinois at Chicago, an M.S. in Statistics from the Georgia Institute of Technology, an M.S. in Mathematics from National Taiwan University, and dual B.A./B.S. degrees (Economics and Mathematics) also from National Taiwan University.
Dr. Huang’s research interests include Bayesian ultrahigh-dimensional variable selection, matrix- and tensor-variate regression, clustering, classification, and dimension reduction, with a focus on developing new statistical methods for complex, large-scale data. His recent projects encompass spatiotemporal modeling, novel neuroimaging reconstruction algorithms, and threat detection. His work has been supported by multiple grants from the National Science Foundation’s Algorithms for Threat Detection (ATD) program, where he serves as principal investigator (including NSF DMS-1924792 and DMS-2318925), as well as by the National Institutes of Health (NIH), where he is a co-investigator on a National Institute of Neurological Disorders and Stroke (NINDS) R01 award (1R01NS133094-01A1).
In addition to his research and teaching, Dr. Huang contributes to the broader academic community through professional service, including serving as an Associate Editor for the journal Statistics and Computing.
Dr. Huang’s team at UCF has secured top placements in the ATD Challenge competitions
Dr. Hsin-Hsiung “Bill” Huang is a Professor in Statistics and Data Science at the University of Central Florida (UCF). He earned his Ph.D. in Statistics from the University of Illinois at Chicago, an M.S. in Statistics from the Georgia Institute of Technology, an M.S. in Mathematics from National Taiwan University, and dual B.A./B.S. degrees (Economics and Mathematics) also from National Taiwan University.
Dr. Huang’s research interests include Bayesian ultrahigh-dimensional variable selection, matrix- and tensor-variate regression, clustering, classification, and dimension reduction, with a focus on developing new statistical methods for complex, large-scale data. His recent projects encompass spatiotemporal modeling, novel neuroimaging reconstruction algorithms, and threat detection. His work has been supported by multiple grants from the National Science Foundation’s Algorithms for Threat Detection (ATD) program, where he serves as principal investigator (including NSF DMS-1924792 and DMS-2318925), as well as by the National Institutes of Health (NIH), where he is a co-investigator on a National Institute of Neurological Disorders and Stroke (NINDS) R01 award (1R01NS133094-01A1).
In addition to his research and teaching, Dr. Huang contributes to the broader academic community through professional service, including serving as an Associate Editor for the journal Statistics and Computing.
Dr. Huang’s team at UCF has secured top placements in the ATD Challenge competitions