Contact Information
605 E. Springfield Ave.
Champaign, IL 61820
Research Interests
Multivariate Exploratory Methods
Covariance Modeling
Optimization Methods
Bayesian Lasso
Education
PhD, Operations Research, Cornell University, 2003
Recent Publications
Nguyen, T. N., Podkowa, A. S., Park, T. H., Miller, R. J., Do, M. N., & Oelze, M. L. (2021). Use of a convolutional neural network and quantitative ultrasound for diagnosis of fatty liver. Ultrasound in Medicine and Biology, 47(3), 556-568. https://doi.org/10.1016/j.ultrasmedbio.2020.10.025
Nguyen, T. N., Podkowa, A. S., Tam, A. Y., Arnold, E. C., Miller, R. J., Park, T. H., Do, M. N., & Oelze, M. L. (2019). Characterizing Fatty Liver in vivo in Rabbits, Using Quantitative Ultrasound. Ultrasound in Medicine and Biology, 45(8), 2049-2062. https://doi.org/10.1016/j.ultrasmedbio.2019.03.021
Shand, L., Li, B., Park, T., & Albarracín, D. (2018). Spatially varying auto-regressive models for prediction of new human immunodeficiency virus diagnoses. Journal of the Royal Statistical Society. Series C: Applied Statistics, 67(4), 1003-1022. https://doi.org/10.1111/rssc.12269
Culpepper, S. A., & Park, T. (2017). Bayesian Estimation of Multivariate Latent Regression Models: Gauss Versus Laplace. Journal of Educational and Behavioral Statistics, 42(5), 591-616. https://doi.org/10.3102/1076998617700598
Liu, Z., Smith, P., Park, T. H., Trindade, A. A., & Hui, Q. (2017). Automated contaminant source localization in spatio-temporal fields: A response surface and experimental design approach. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(3), 569-583. [7407666]. https://doi.org/10.1109/TSMC.2016.2521822