• S. Abraham, G. Ghorbaniasl, M. Raisee and C. Lacor. Effect of Geometrical Uncertainties on the Performance of Heat Exchangers Using an Efficient POD-Based Model Reduction Technique. 13th International Conference of Numerical Analysis and Applied Mathematics 2015 (ICNAAM 2015). 23-29 September 2015, Rhodes, Greece.
  • S. Abraham, G. Ghorbaniasl and C. Lacor. A Statistical Approach for Building Sparse Polynomial Chaos Expansions. Proc. ECCOMAS European CFD conference, Crete Island, 5-10 June 2016
  • S. Abraham, G. Ghorbaniasl, M. Raisee and C. Lacor (2016). A robust and efficient basis selection technique for adaptive sparse polynomial chaos expansions. J. Comput. Phys. Submitted. 
  • P. Tsirikoglou, G. Ghorbaniasl, S. Abraham, C. Lacor, Heat transfer optimization of a ribbed surface using surrogate-assisted genetic algorithms. Proc. ECCOMAS European CFD conference, Crete Island, 5-10 June 2016.
  • C. Gorlé, G. Lamberti, Uncertainty Quantification for modeling nighttime ventilation in Stanford's Y2E2 building, April 2016 (presentation)
  • C. Gorlé, Z. Hao, S. Zéoli and L. Bricteux, Quantifying turbulence model form uncertainty in RANS simulations of complex flow and scalar transport, April 2016 (presentation)
  • C. García-Sánchez, C. Gorlé, Quantifying uncertainty in the prediction of pollutant dispersion, April 2016 (presentation)
  • Kumar D., Raisee M., Lacor C. An Efficient Non-Intrusive Reduced Basis Approach for Uncertainty Quantification in CFD. To be presented 1st Int Conf UQ in Computational Sciences (UNCECOMP), 25-27 May 2015
  • Raisee M., Kumar D., Lacor C. A Nonintrusive Model Reduction Approach for Polynomial Chaos Expansion Using Proper Orthogonal Decomposition.Int Journal Num Methods in Eng, DOI: 10.1002/nme.4900, 2015
  • Kumar D., Raisee M., Lacor C, Towards an efficient non-intrusive polynomial chaos approach for high dimensional stochastic problems using a reduced basis approach. Proc. ECCOMAS European CFD conference, Barcelona, 20-25 July 2014
  • Raisee M., Kumar D., Lacor C.,Stochastic Model Reduction for Polynomial Chaos Expansion Using Proper Orthogonal Decomposition, Chaotic Modeling and Simulation, 4:615-623, 2013
  • Raisee M., Kumar D., Lacor C. Development of a Non-Intrusive Model Reduction Approach for Polynomial Chaos Representation. Proc. Int Workshop on Uncertainty Quantification in Fluids Simulation, BOQUSE 2013, Bordeaux, 16-18 December 2013