Yu Ding

Mike and Sugar Barnes Professor

Department of Electrical and Computer Engineering (Courtesy Appointment)

Image of Yu Ding

Office: 4016 ETB
Phone: 979.458.2343
Fax: 979.458.4299
Email: yuding@tamu.edu

Personal Website
Curriculum Vitae
Google Scholar Profile

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.

Education

  • 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

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