Biography

Dr. Hsin-Hsiung “Bill” Huang is an Associate Professor in the Department of 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).

Dr. Huang’s team at UCF has secured top placements in the ATD Challenge competitions from 2021 to 2023. Among his recent honors, he received the UCF Research Incentive Award (RIA) in 2021, a UCF College of Sciences Seed Grant in 2023–24, the Outstanding Instruction Award in 2024, the UCF Office of Research Mentoring Program Award in 2025, and the 2025 UCF College of Sciences OSCaR Award for Outstanding Scholarship, Creative Works, and Research.

2023 ATD Award     2022 ATD Award     2021 ATD Award

Research

Bayesian modeling and computation, robust dimension re­duction, manifold learning, ultrahigh-dimensional variable selection, Bayesian cluster Process, algorithms for threat detection, medical image reconstruction, missingness imputation.

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