
معرفی
Kinh Truong is a Professor in the Department of Biostatistics at the University of North Carolina at Chapel Hill's Gillings School of Global Public Health. He holds a PhD in Statistics from the University of California, Berkeley (1985), an MS in Statistics from UC Berkeley (1980), and a BS in Mathematics from the University of Washington (1978).
His research focuses on statistical methods for neuroimaging data (fMRI/EEG), time series analysis, and linear mixed modeling to address between- and within-subject variability. He has developed novel approaches using splines, wavelets, and kernel-based smoothing for dynamic processes in biomedical signals.
Truong has received prestigious awards including the N.C. Board of Science and Technology Development Award (1990) and the Regent Fellowship (1980). He has served as Associate Editor for The Annals of Statistical Mathematics and Journal of Bioinformatics, and held leadership roles in the NC ASA Local Chapter.
His teaching spans core biostatistics courses like Intermediate Linear Models and Time Series Analysis, reflecting his expertise in statistical modeling and experimental design.
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