• Mike and Sugar Barnes Professor, Industrial & Systems Engineering
  • Associate Director for Research Engagement - Texas A&M Institute of Data Science
  • Affiliated Faculty, Electrical & Computer Engineering
Yu Ding

Educational Background

  • Ph.D., Mechanical Engineering, University of Michigan - 2001
  • M.S., Mechanical Engineering, Penn State University - 1998
  • M.S., Precision Instrument, Tsinghua University, China - 1996
  • B.S., Precision Engineering, University of Science and Technology of China - 1993

Research Interests

    • Data and Quality Science
    • Data Science for Wind Energy 
    • Data Science for Material/Manufacturing

Awards & Honors

  • 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. 1469–1480
  • 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