Contact Information
725 S. Wright St.
M/C 374
Champaign, IL 61820
Research Interests
Statistical/mathematical methods, machine learning and data mining
Signal and imaging processing, computation, and analysis
Quantitative and cognitive psychology
Precision medicine
Research Description
Quantitative/mathematical methods and modeling in psychology
Brain and cognitive sciences
Education
Ph.D., Yale University
Courses Taught
Covariance Structure and Factor Models
Methods of Applied Statistics
Applied Regression and Design
Image and Neuroimage Analysis
Statistics and Probability
Image Processing with Matlab
Introduction to Statistics
Signals and Systems
Additional Campus Affiliations
Associate Professor, Psychology
Associate Professor, Bioengineering
Associate Professor, Center for Global Studies
External Links
Recent Publications
Zwilling, C. E., & Wang, M. Y. (2016). Covariance based outlier detection with feature selection. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 (pp. 2606-2609). Article 7591264 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2016-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2016.7591264
Zwilling, C. E., & Wang, M. Y. (2014). Multivariate voronoi outlier detection for time series. In 2014 IEEE Healthcare Innovation Conference, HIC 2014 (pp. 300-303). Article 7038934 (2014 IEEE Healthcare Innovation Conference, HIC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HIC.2014.7038934
Vo, L. T. K., Walther, D. B., Kramer, A. F., Erickson, K. I., Boot, W. R., Voss, M. W., Prakash, R. S., Lee, H., Fabiani, M., Gratton, G., Simons, D. J., Sutton, B. P., & Wang, M. Y. (2011). Predicting individuals' learning success from patterns of pre-learning MRI activity. PloS one, 6(1), Article e16093. https://doi.org/10.1371/journal.pone.0016093
Sakoğlu, Ü., Pearlson, G. D., Kiehl, K. A., Wang, Y. M., Michael, A. M., & Calhoun, V. D. (2010). A method for evaluating dynamic functional network connectivity and task-modulation: Application to schizophrenia. Magnetic Resonance Materials in Physics, Biology and Medicine, 23(5-6), 351-366. https://doi.org/10.1007/s10334-010-0197-8
Wang, Y. M., & Xia, J. (2009). Unified framework for robust estimation of brain networks from fMRI using temporal and spatial correlation analyses. IEEE transactions on medical imaging, 28(8), 1296-1307. Article 4785525. https://doi.org/10.1109/TMI.2009.2014863