Publications

Ph.D. Dissertation:

Xiang Ma, "An efficient computational framework for uncertainty quantification in multiscale systems", Cornell University, 2010. (pdf, ppt)

Journal Publications:

  1. Xiang Ma and Linfeng Bi, "A robust adaptive iterative ensemble smoother scheme for practical history matching applications", Computational Geosciences, Vol. 23, pp. 415-442, 2019. (pdf)
  2. Xiang Ma and Nicholas Zabaras, "Kernel principal component analysis for stochastic input model reduction", Journal of Computational Physics, Vol. 230, pp. 7311-7331, 2011. (pdf)
  3. Xiang Ma and Nicholas Zabaras, "A stochastic mixed finite element heterogeneous multiscale method for flow in porous media", Journal of Computational Physics, Vol. 230, pp. 4696-4722, 2011. (pdf)
  4. Xiang Ma and Nicholas Zabaras, "An adaptive high dimensional stochastic model representation technique for the solution of stochastic partial differential equations", Journal of Computational Physics, Vol. 229, pp. 3884-3915, 2010. (pdf)
  5. Xiang Ma and Nicholas Zabaras, "An efficient Bayesian inference approach to inverse problems based on an adaptive sparse grid collocation method", Inverse Problems 25 (2009) 035013 (27pp). (pdf) (This paper was selected by the Editorial Board to be part of Inverse Problems' Highlights of 2009 collection).
  6. Xiang Ma and Nicholas Zabaras, "An adaptive hierarchical sparse grid collocation algorithm for the solution of stochastic differential equations", Journal of Computational Physics, Vol. 228, pp. 3084-3113, 2009. (pdf)
  7. Xiang Ma and Nicholas Zabaras, "A stabilized stochastic finite element second-order projection method for modeling natural convection in random porous media”, Journal of Computational Physics, Vol. 227, pp. 8448-8471, 2008. (pdf)
  8. S. Cong, X. Ma and Y. X. Zhang, "Application of LMI in the analysis and design of singularity, dexterity and rigidity of parallel mechanism", Journal of Mechine Design, Vol. 22, pp 10-13, 2005.

Conference Publications:

  1. X. Ma and F. Zhou etc. “Evaluation of water hammer analysis as diagnostic tool for hydraulic fracturing”, Unconventional Resources Technology Conference, Denver, Colorado, 22-24 July 2019.
  2. X. Ma and G. Hetz etc. “A robust iterative ensemble smoother method for efficient history matching and uncertainty quantification”, SPE reservoir simulation conference, 20-22 February, Montgomery, TX, USA, 2017.
  3. X. Ma and Z. Borden etc. “Real-Time production surveillance and optimization at a Mature subsea asset” SPE Intelligent Energy International Conference and Exhibition, 6-8 September, Aberdeen, Scotland, UK, 2016.
  4. Nicholas Zabaras, Xiang Ma and Ilias Bilionis, "Kernel PCA for stochastic input generation of multiscale systems", presented at the "Uncertainty Quantification in Multiscale Systems" symposium at the 2011 SIAM-Computational Science and Engineering Meeting, Reno, Nevada, Februray 28 - March 2, 2011. (ppt)
  5. Nicholas Zabaras and Xiang Ma, "A stochastic heterogeneous multiscale method for porous media flow", presented at the "Numerical methods for stochastic computation and uncertainty quantification" symposium at the 2010 SIAM Annual Meeting, Pittsburgh, PA, July 12-16, 2010. (ppt)
  6. Nicholas Zabaras and Xiang Ma, "An adaptive hierarchical sparse grid collocation algorithm for the solution of stochastic differential equations", presented at the "Uncertainty quantification in computational science and engineering" symposium at the 10th U.S. National Congress in Computational Mechanics, Columbus, OH, July 16-19, 2009. (ppt)
  7. Xiang Ma and Nicholas Zabaras, "An efficient Bayesian inference approach to inverse problems based on adaptive sparse grid collocation method", presented at the "Inverse problems: Theory and applications" symposium at the 10th U.S. National Congress in Computational Mechanics, Columbus, OH, July 16-19, 2009. (ppt)
  8. Nicholas Zabaras and Xiang Ma, "A Dimension-reduction Method for Stochastic PDEs", presented at the "MS120 Numerical Methods for Stochastic Computation and Uncertainty Quantification" symposium at the 2009 SIAM Conference in Computational Sciences and Engineering (CSE09), Miami, FL, March 2-6, 2009. (ppt)
  9. Nicholas Zabaras and Xiang Ma, "Bayesian Inference Using an Adaptive Sparse Grid Collocation Method", presented at the "MS138 Bayesian Formulations for System Identification, Modeling and Prediction" symposium at the 2009 SIAM Conference in Computational Sciences and Engineering (CSE09), Miami, FL, March 2-6, 2009. (ppt)
  10. Nicholas Zabaras and Xiang Ma, "An Adaptive Hierarchical Sparse Grid Collocation Algorithm for the Solution of Stochastic Differential Equations", presented at the "Numerical Methods for Stochastic Computation and Uncertainty Quantification" symposium in the 2008 SIAM Annual Meeting), San Diego, CA, July 7-11, 2008. (ppt)
  11. Nicholas Zabaras, Xiang Ma and B. Ganapathysubramanian, "Non-linear data driven model reduction techinques for stochastic PDE systems", presented at the 6th GRACM International Congress on Computational Mechanics Thessaloniki, Greece, June 19-21, 2008. (paper, ppt)
  12. Xiang Ma and Nicholas Zabaras, "Modeling natural convection in random porous media", presented at the "Computational aspects of the Stochastic Finite Element Methods" symposium in the 9th National Congress on Computational Mechanics), San Francisco, CA, July 22-26, 2007. (ppt)
  13. X. Ma and S. Cong, "The thoery of linear matrix inequalities and its application in control", In Proceedings of 2004 Chinese Control and Decision Conference, DongBei University Press, May 2004, pp 950-954. (This paper was awarded Excellent Paper of the conference)