• Mike and Sugar Barnes Professor
  • Department of Electrical and Computer Engineering (Courtesy Appointment)
Yu Ding

Educational Background

  • Univ of Science and Technology of China Precision Engineering B.S. 1993
  • Tsinghua University, China Precision Instrument M.S. 1996
  • Penn State University, University Park, PA Mechanical Engineering M.S. 1998
  • University of Michigan, Ann Arbor, MI Mechanical Engineering Ph.D. 2001

Research Interests

    • Systems informatics
    • Data and quality science
    • Wind energy and manufacturing informatics

Awards & Honors

  • TEES Fellow Award, College of Engineering, Texas A&M University, April 2011.
  • Brockett Professorship Award, College of Engineering, Texas A&M University, April 2009
  • TEES Select Young Faculty, College of Engineering, Texas A&M University, Oct 2006
  • Best Paper Award, IIE Transactions, April 2006.
  • Montague - Center for Teaching Excellence Scholar, Texas A&M University, Oct 2005.
  • CAREER Award, National Science Foundation, 2004.
  • Best Paper Award, ASME Manufacturing Engineering Division, 2000.

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