- Affiliated Faculty, Industrial & Systems Engineering
- Associate Director for Research Engagement - Texas A&M Institute of Data Science
- Phone: 979-458-2343
- FAX: 979-458-4299
- Email: yuding@tamu.edu
- Office: ETB 4016
- Website: Research Website

Educational Background
- Ph.D., Mechanical Engineering, University of Michigan - 2001
Research Interests
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- Data and Quality Science
- Data Science for Wind Energy
- Data Science for Material/Manufacturing
Awards & Honors
- Impact Prize, Institute for Operations Research and the Management Sciences (INFORMS), 2022
- The Association of Former Students (AFS) University-Level Distinguished Achievement Award in Research, Texas A&M University, 2020
- Technical Innovation Award, IISE, 2019
- Research Impact Award, Texas A&M Engineering, 2018
- Montague – Center for Teaching Excellence Scholar, Texas A&M University, 2005
- CAREER Award, National Science Foundation, 2004
Selected Publications
- Park, C., Huang, J. Z., and Ding, Y., 2010, A computable plug-in estimator of minimum volume sets for novelty detection, Operations Research, Vol. 58 (5), pp. 14691480
- Lee, G.; Byon, E., Ntaimo, L, and Ding, Y., 2013, Bayesian spline method for assessing extreme loads on wind turbines, Annals of Applied Statistics, Vol. 7, pp. 2034-2061
- Park, C., Huang, J.Z., Ji, J., and Ding, Y., 2013, Segmentation, inference and classification of partially overlapping nanoparticles, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35 (3), pp. 669-681
- Pourhabib, A; Mallick, B.K., Ding, Y., 2015, Absent data generating classifier for imbalanced class sizes, Journal of Machine Learning Research, Vol. 16, pp. 2695-2724
- Lee, G.; Ding, Y., Genton, M. G., and Xie, L., 2015, Power curve estimation with multivariate environmental factors for inland and offshore wind farms, Journal of the American Statistical Association, Vol. 110(509), pp. 56-67
- Hwangbo, H.; A. L. Johnson, and Y. Ding, 2018, “Spline model for wake effect analysis: characteristics of single wake and its impacts on wind turbine power generation.” IISE Transactions, Vol. 50 (2), pp. 112-125