One of the greatest challenges of this century is the transformation of our society into a sustainable energy economy. I would like to contribute to the necessary scientific progress and technological developments to reach this goal. To that end, my work focuses on the uncertainties in wind power generation from my background in computational fluid dynamics and uncertainty quantification.
Awards and honors Theses Journal articles Book chapters Conference papers Other Upcoming events Professional memberships	Dr.ir. Jeroen A.S. Witteveen Postdoctoral Research Fellow Uncertainty Quantification Laboratory Center for Turbulence Research Mechanical Engineering Stanford University Building 500 488 Escondido Mall Stanford, CA 94305-3035 USA Room: 501L Phone: +1 (650) 723-2330 Fax: +1 (650) 723-9617 jasw AT stanford.edu http://uq.stanford.edu http://ctr.stanford.edu http://www.stanford.edu/~jasw http://www.jeroenwitteveen.com Awards and honors 1.  Rubicon Postdoctoral Fellowship 2011-2012 from the Netherlands Organization for Scientific Research (NWO) and the European Union Marie Curie Cofund Action at Stanford University. 2.  Center for Turbulence Research (CTR) Postdoctoral Fellowship 2009-2010 from Stanford University and the National Aeronautics and Space Administration (NASA). 3.  Da Vinci Ph.D. Thesis Award 2009 silver medal of the European Research Community On Flow, Turbulence And Combustion (ERCOFTAC). 4.  Best Master of Science graduate award 2003-2004 of the Faculty of Aerospace Engineering of Delft University of Technology. 5.  Graduated Ph.D. defense, Master and Bachelor of Science exams, Propedeuse, and secondary school with honor. Top of page Theses 1.  Efficient and robust uncertainty quantification for computational fluid dynamics and fluid-structure interaction, J.A.S. Witteveen, Ph.D. thesis, Delft University of Technology, Delft, The Netherlands (2009). PDF 2.  The simple wave shock wave approximation and a new numerical method for hyperbolic flow problems, J.A.S. Witteveen, M.Sc. thesis, Delft University of Technology, Delft, The Netherlands (2004). 3.  Development of a one-dimensional conservative upwind residual distribution solver for a two-fluid model with tabulated equations of state, J.A.S. Witteveen, Internship thesis, NATO Von Karman Institute for Fluid Dynamics, Sint-Genesius-Rode, Belgium (2002) VKI-SR 2003-06. 4.  Hot plume test facility, F.M. Bos, O. de Bruijn, N.P. van Hinsbergen, T.J.J. Lombaerts, P. Lucas, D.M. Luchtenburg, J.A.S. Witteveen, K.G. van der Zee, B.Sc. thesis, Delft University of Technology, Delft, The Netherlands (2001). Top of page Journal articles 1.  Refinement criteria for simplex stochastic collocation with local extremum diminishing robustness, J.A.S. Witteveen, G. Iaccarino, SIAM Journal on Scientific Computing, 2012, accepted. 2.  Simplex stochastic collocation with random sampling and extrapolation for nonhypercube probability spaces, J.A.S. Witteveen, G. Iaccarino, SIAM Journal on Scientific Computing, Vol. 34, 2012, pp. A814-A838. PDF 3.  Backward uncertainty propagation method in flow problems: application to the prediction of rarefaction shock waves, P.M. Congedo, P. Colonna, C. Corre, J.A.S. Witteveen, G. Iaccarino, Computer Methods in Applied Mechanics and Engineering, Vol. 213-216, 2012, pp. 314-326. PDF 4.  Second order front tracking for the Euler equations, J.A.S. Witteveen, Journal of Computational Physics, Vol. 229, 2010, pp. 2719-2739. PDF 5.  Transonic velocity fluctuations simulated using extremum diminishing uncertainty quantification based on inverse distance weighting, J.A.S. Witteveen, H. Bijl, Theoretical and Computational Fluid Dynamics, 2010, accepted, doi:10.1007/s00162-011-0233-y. PDF 6.  Effect of randomness on multi-frequency aeroelastic responses resolved by unsteady adaptive stochastic finite elements, J.A.S. Witteveen, H. Bijl, Journal of Computational Physics, Vol. 228, 2009, pp. 7025-7045. PDF 7.  A TVD uncertainty quantification method with bounded error applied to transonic airfoil flutter, J.A.S. Witteveen, H. Bijl, Communications in Computational Physics, Vol. 6, 2009, pp. 406-432. PDF 8.  Higher period stochastic bifurcation of nonlinear airfoil fluid-structure interaction, J.A.S. Witteveen, H. Bijl, Mathematical Problems in Engineering, Vol. 2009, 2009, 394387. PDF 9.  An adaptive stochastic finite elements approach based on Newton-Cotes quadrature in simplex elements, J.A.S. Witteveen, G.J.A. Loeven, H. Bijl, Computers and Fluids, Vol. 38, 2009, pp. 1270-1288. PDF 10.  Effect of uncertainty on the bifurcation behavior of pitching airfoil stall flutter, S. Sarkar, J.A.S. Witteveen, G.J.A. Loeven, H. Bijl, Journal of Fluids and Structures, Vol. 25, 2009, pp. 304-320. PDF 11.  A monomial chaos approach for efficient uncertainty quantification in nonlinear problems, J.A.S. Witteveen, H. Bijl, SIAM Journal on Scientific Computing, Vol. 30, 2008, pp. 1296-1317. PDF 12.  An alternative unsteady adaptive stochastic finite elements formulation based on interpolation at constant phase, J.A.S. Witteveen, H. Bijl, Computer Methods in Applied Mechanics and Engineering, Vol. 198, 2008, pp. 578-591. PDF 13.  An unsteady adaptive stochastic finite elements formulation for rigid-body fluid-structure interaction, J.A.S. Witteveen, H. Bijl, Computers and Structures, Vol. 86, 2008, pp. 2123-2140. PDF 14.  Efficient quantification of the effect of uncertainties in advection-diffusion problems using polynomial chaos, J.A.S. Witteveen, H. Bijl, Numerical Heat Transfer B: Fundamentals, Vol. 53, 2008, pp. 437-465. PDF 15.  Probabilistic collocation for period-1 limit cycle oscillations, J.A.S. Witteveen, G.J.A. Loeven, S. Sarkar, H. Bijl, Journal of Sound and Vibration, Vol. 311, 2008, pp. 421-439. PDF 16.  An improved front tracking method for the Euler equations, J.A.S. Witteveen, B. Koren, P.G. Bakker, Journal of Computational Physics, Vol. 224, 2007, pp. 712-728. PDF 17.  Modeling physical uncertainties in dynamic stall induced fluid-structure interaction of turbine blades using arbitrary polynomial chaos, J.A.S. Witteveen, S. Sarkar, H. Bijl, Computers and Structures, Vol. 85, 2007, pp. 866-878. PDF Top of page Book chapters 1.  Introducing essentially non-oscillatory stencil selection with subcell resolution into uncertainty quantification, J.A.S. Witteveen, G. Iaccarino, Annual Research Briefs, Center for Turbulence Research, Stanford University, 2011, pp. 169-180. PDF 2.  Uncertainty quantification simulation of the HyShot II flight experiment, J.A.S. Witteveen, G. Iaccarino, Annual Research Briefs, Center for Turbulence Research, Stanford University, 2010, pp. 81-92. PDF 3.  Robust simulation of nonclassical gas-dynamics phenomena, P.M. Congedo, P. Colonna, C. Corre, J.A.S. Witteveen, G. Iaccarino, Proceedings of the 2010 Summer Program, Center for Turbulence Research, Stanford University, 2010, pp. 27-40. PDF 4.  Uncertainty quantification for the trailing-edge noise of a controlled-diffusion airfoil, J. Christophe, S. Moreau, C.W. Hamman, J.A.S. Witteveen, G. Iaccarino, Proceedings of the 2010 Summer Program, Center for Turbulence Research, Stanford University, 2010, pp. 213-226. PDF 5.  Uncertainty analysis for shock-bubble interaction, K.K. So, T. Chantrasmi, X.Y. Hu, J.A.S. Witteveen, C. Stemmer, G. Iaccarino, N.A. Adams, Proceedings of the 2010 Summer Program, Center for Turbulence Research, Stanford University, 2010, pp. 15-26. PDF 6.  Uncertainty quantification of the transonic flow around the RAE2822 airfoil, J.A.S. Witteveen, A. Doostan, R. Pecnik, G. Iaccarino, Annual Research Briefs, Center for Turbulence Research, Stanford University, 2009, pp. 93-104. PDF 7.  A second-order improved front tracking method for the numerical treatment of the hyperbolic Euler equations, J.A.S. Witteveen, Hyperbolic Problems: Theory, Numerics, Applications; S. Benzoni-Gavage, D. Serre (Eds.), Springer, Berlin, 2008, pp. 1077-1084. PDF Top of page Conference papers 1.  Robust uncertainty quantification based on essentially non-oscillatory stencil selection, J.A.S. Witteveen, G. Iaccarino, 14th AIAA Non-Deterministic Approaches Conference, Honolulu, Hawaii, 2012, AIAA-2012-1683. PDF 2.  A simplex-simplex approach for mixed aleatory-epistemic uncertainty quantification P.M. Congedo, J.A.S. Witteveen, G. Iaccarino, 14th AIAA Non-Deterministic Approaches Conference, Honolulu, Hawaii, 2012, AIAA-2012-1684. PDF 3.  Uncertainty quantification and error estimation in scramjet simulation, J.A.S. Witteveen, K. Duraisamy, G. Iaccarino, 17th AIAA International Space Planes and Hypersonic Systems and Technologies Conference, San Francisco, California, 2011, AIAA-2011-2283. PDF 4.  Uncertainty quantification for laminar-turbulent transition prediction in RANS turbomachinery applications, R. Pecnik, J.A.S. Witteveen, G. Iaccarino, 49th AIAA Aerospace Sciences Meeting, Orlando, Florida, 2011, AIAA-2011-0660. PDF 5.  Assessment of uncertainties in modeling the laminar to turbulent transition for heat transfer predictions on a turbine guide vane, R. Pecnik, J.A.S. Witteveen, G. Iaccarino, 20th ISABE International Society for Airbreathing Engines Conference, Gothenburg, Sweden, 2011, ISABE-2011-1703. PDF 6.  Simplex-simplex approach for robust design optimization, P. Congedo, J.A.S. Witteveen, G. Iaccarino, International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control, EUROGEN 2011, Capua, Italy, 2011. PDF 7.  Uncertainty quantification for the trailing-edge noise of a controlled-diffusion airfoil, J. Christophe, S. Moreau, C. Hamman, J.A.S. Witteveen, G. Iaccarino, 32nd/17th AIAA/CEAS Aeroacoustics Conference, Portland, Oregon, 2011, AIAA-2011-2712. PDF 8.  Wind turbine performance analysis under uncertainty, G. Petrone, C. De Nicola, D. Quagliarella, J.A.S. Witteveen, G. Iaccarino, 49th AIAA Aerospace Sciences Meeting, Orlando, Florida, 2011, AIAA-2011-0544. PDF 9.  Optimization of wind turbine performance and noise under uncertainty, G. Petrone, C. de Nicola, D. Quagliarella, J.A.S. Witteveen, G. Iaccarino, 4th International Meeting on Wind Turbine Noise, WTN2011, Rome, Italy, 2011. PDF 10.  Wind turbine optimization under uncertainty with high performance computing, G. Petrone, C. de Nicola, D. Quagliarella, J.A.S. Witteveen, J. Axerio-Cilies, G. Iaccarino, 41st AIAA Fluid Dynamics Conference, Honolulu, Hawaii, 2011, AIAA-2011-3806. PDF 11.  Explicit and robust inverse distance weighting mesh deformation for CFD, J.A.S. Witteveen, 48th AIAA Aerospace Sciences Meeting, Orlando, Florida, 2010, AIAA-2010-0165. PDF 12.  Simplex elements stochastic collocation in higher-dimensional probability spaces, J.A.S. Witteveen, G. Iaccarino, 12th AIAA Non-Deterministic Approaches Conference, Orlando, Florida, 2010, AIAA-2010-2924. PDF 13.  Simplex elements stochastic collocation for uncertainty propagation in robust design optimization, J.A.S. Witteveen, G. Iaccarino, 48th AIAA Aerospace Sciences Meeting, Orlando, Florida, 2010, AIAA-2010-1313. PDF 14.  Numerical methods for uncertainty propagation in high speed flows, P. Petterson, G. Iaccarino, J. Nordstrom, J.A.S. Witteveen, 5th European Conference on Computational Fluid Dynamics, ECCOMAS CFD, Lisbon, Portugal, 2010. PDF 15.  A meshless front tracking method for the Euler equations of fluid dynamics, J.A.S. Witteveen, ECCOMAS Computational Methods in Applied Sciences CMAS2009, Bratislava, Slovakia, 2009. PDF 16.  A second order front tracking solution of the Euler equations, J.A.S. Witteveen, 19th AIAA Computational Fluid Dynamics Conference, San Antonio, Texas, 2009, AIAA-2009-3989. PDF 17.  Explicit mesh deformation using inverse distance weighting interpolation, J.A.S. Witteveen, H. Bijl, 19th AIAA Computational Fluid Dynamics Conference, San Antonio, Texas, 2009, AIAA-2009-3996. PDF 18.  Uncertainty quantification in fluid-structure interaction simulations using a simplex elements stochastic collocation approach, J.A.S. Witteveen, H. Bijl, 19th AIAA Computational Fluid Dynamics Conference, San Antonio, Texas, 2009, AIAA-2009-3671. PDF 19.  Efficient uncertainty quantification in unsteady aeroelastic simulations, J.A.S. Witteveen, H. Bijl, International Forum on Aeroelasticity and Structural Dynamics (IFASD), Seattle, Washington, 2009, IFASD-2009-046. PDF 20.  A robust and efficient uncertainty quantification method for coupled fluid-structure interaction problems, J.A.S. Witteveen, H. Bijl, ECCOMAS Computational Methods for Coupled Problems in Science and Engineering, Ischia, Italy, 2009. PDF 21.  Explicit inverse distance weighting mesh motion for coupled problems, J.A.S. Witteveen, H. Bijl, ECCOMAS Computational Methods for Coupled Problems in Science and Engineering, Ischia, Italy, 2009. PDF 22.  Uncertainty quantification for multi-frequency unsteady flow and fluid-structure interaction, J.A.S. Witteveen, H. Bijl, 11th AIAA Non-Deterministic Approaches Conference, Palm Springs, California, 2009, AIAA-2009-2287. PDF 23.  Unsteady adaptive stochastic finite elements for quantification of uncertainty in time-dependent problems, J.A.S. Witteveen, H. Bijl, 6th International Conference on Engineering Computational Technology, ECT2008, Athens, Greece, 2008. PDF 24.  An unsteady adaptive stochastic finite elements uncertainty quantification method for fluid-structure interaction problems, J.A.S. Witteveen, H. Bijl, 5th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2008, Venice, Italy, 2008. PDF 25.  Unsteady adaptive stochastic finite elements for aeroelastic systems with randomness, J.A.S. Witteveen, H. Bijl, 10th AIAA Non-Deterministic Approaches Conference, Schaumburg, Illinois, 2008, AIAA-2008-2148. PDF 26.  Long-term stochastic behavior of aeroelastic systems, J.A.S. Witteveen, G.J.A. Loeven, H. Bijl, Computational Uncertainty in Military Vehicle Design Symposium NATO RTO-MP-AVT-147, Athens, Greece, 2007, P-34. PDF 27.  Quantifying the effect of physical uncertainties in unsteady fluid-structure interaction problems, J.A.S. Witteveen, G.J.A. Loeven, H. Bijl, 9th AIAA Non-Deterministic Approaches Conference, Honolulu, Hawaii, 2007, AIAA-2007-1942. PDF 28.  Modeling physical uncertainties in stall induced oscillation of an airfoil using polynomial chaos approach, S. Sarkar, J.A.S. Witteveen, H. Bijl, Asian Computational Fluid Dynamics Conference ACFD7, Bangalore, India, 2007. 29.  A probabilistic radial basis function approach for uncertainty quantification, G.J.A. Loeven, J.A.S. Witteveen, H. Bijl, Computational Uncertainty in Military Vehicle Design Symposium NATO RTO-MP-AVT-147, Athens, Greece, 2007, P-35. PDF 30.  Probabilistic collocation: an efficient nonintrusive approach for arbitrarily distributed parametric uncertainties, G.J.A. Loeven, J.A.S. Witteveen, H. Bijl, 45th AIAA Aerospace Sciences Meeting, Reno, Nevada, 2007, AIAA-2007-317. PDF 31.  Efficient uncertainty quantification in computational fluid-structure interactions: the probabilistic collocation method in a two step approach, G.J.A. Loeven, J.A.S. Witteveen, H. Bijl, International Workshop on Coupled Methods in Numerical Dynamics, Dubrovnik, Croatie, 2007. PDF 32.  Dynamic stall flutter analysis with uncertainties using multi-element probabilistic collocation, G.J.A. Loeven, S. Sarkar, J.A.S. Witteveen, H. Bijl, 9th AIAA Non-Deterministic Approaches Conference, Honolulu, Hawaii, 2007, AIAA-2007-1964. PDF 33.  A second-order front tracking method applied to the Euler equations, J.A.S. Witteveen, 44th AIAA Aerospace Sciences Meeting, Reno, Nevada, 2006, AIAA-2006-1277. PDF 34.  A monomial chaos approach for efficient uncertainty quantification in computational fluid dynamics, J.A.S. Witteveen, H. Bijl, European Conference on Computational Fluid Dynamics ECCOMAS CFD, Egmond aan Zee, The Netherlands, 2006. PDF 35.  Reliable computational predictions by modeling uncertainties using arbitrary polynomial chaos, J.A.S. Witteveen, H. Bijl, European Conference on Computational Fluid Dynamics ECCOMAS CFD, Egmond aan Zee, The Netherlands, 2006. PDF 36.  An efficient monomial chaos approach for uncertainty quantification in nonlinear computational models, J.A.S. Witteveen, H. Bijl, 47th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Newport, Rhode Island, 2006, AIAA-2006-2071. PDF 37.  Using polynomial chaos for uncertainty quantification in problems with nonlinearities, J.A.S. Witteveen, H. Bijl, 47th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Newport, Rhode Island, 2006, AIAA-2006-2066. PDF 38.  Modeling arbitrary uncertainties using Gram-Schmidt polynomial chaos, J.A.S. Witteveen, H. Bijl, 44th AIAA Aerospace Sciences Meeting, Reno, Nevada, 2006, AIAA-2006-896. PDF 39.  Efficient uncertainty quantification using a two-step approach with chaos collocation, G.J.A. Loeven, J.A.S. Witteveen, H. Bijl, European Conference on Computational Fluid Dynamics ECCOMAS CFD, Egmond aan Zee, The Netherlands, 2006. PDF 40.  Efficient uncertainty quantification in computational fluid-structure interactions, G.J.A. Loeven, J.A.S. Witteveen, H. Bijl, 47th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Newport, Rhode Island, 2006, AIAA-2006-1634. PDF 41.  An improved front tracking method for the Euler equations, J.A.S. Witteveen, P.G. Bakker, B. Koren, 17th AIAA Computational Fluid Dynamics Conference, Toronto, Canada, 2005, AIAA-2005-5335. PDF 42.  Feasibility study of a hot plume test facility, F.M. Bos, O. de Bruijn, N.P. van Hinsbergen, T.J.J. Lombaerts, P. Lucas, D.M. Luchtenburg, J.A.S. Witteveen, K.G. van der Zee, 4th European Symposium on Aerothermodynamics for Space Vehicles, Capua, Italy, 2001. PDF Top of page Other 1.  Robust approximation of stochastic discontinuities, J.A.S. Witteveen, G. Iaccarino, SIAM Conference on Uncertainty Quantification, Raleigh, North Carolina, 2012. 2.  Simplex stochastic collocation for adaptive uncertainty quantification, J.A.S. Witteveen, G. Iaccarino, 11th US National Congress on Computational Mechanics, USNCCM, Minneapolis, Minnesota, 2011. 3.  Improving the scalability of simplex stochastic collocation, J.A.S. Witteveen, G. Iaccarino, SIAM Conference on Computational Science and Engineering, CSE11, Reno, Nevada, 2011. 4.  A framework for managing the combined effect of aleatoric uncertainty, epistemic uncertainty, and numerical error, J.A.S. Witteveen, K. Duraisamy, G. Iaccarino, SIAM Conference on Computational Science and Engineering, CSE11, Reno, Nevada, 2011. 5.  Non-intrusive uncertainty propagation, J.A.S. Witteveen, Lecture notes for NATO RTO-AVT-VKI Short Course on Uncertainty Quantification, Stanford University, Stanford, California, 2011. 6.  Large-scale uncertainty and error analysis for time-dependent fluid/structure interactions in wind turbine applications, J.J. Alonso, G. Iaccarino, K. Duraisamy, J.A.S. Witteveen, G. Petrone, G. Tang, M. Eldred, M. Barone, S. Domino, D. Xiu, Poster presentation, SciDAC Conference, Denver, Colorado, 2011. 7.  Multi-element uncertainty quantification based on simplex elements stochastic collocation, J.A.S. Witteveen, G. Iaccarino, SIAM Annual Meeting, Pittsburgh, Pennsylvania, 2010. 8.  Uncertainty quantification in computational fluid dynamics, J.A.S. Witteveen, 1st China-UK-Netherlands Frontiers of Science Symposium, Beijing, China, 2009. 9.  Efficient and robust uncertainty quantification for computational fluid dynamics and fluid-structure interaction, J.A.S. Witteveen, ERCOFTAC Bulletin, European Research Community on Flow Turbulence and Combustion, December issue, 2009. 10.  Comparison of stochastic collocation methods for uncertainty quantification of the transonic RAE 2822 airfoil, J.A.S. Witteveen, A. Doostan, T. Chantrasmi, R. Pecnik, G. Iaccarino, Workshop on Quantification of CFD Uncertainties, Vrije Universiteit Brussel, Brussels, Belgium, 2009. PDF 11.  Uncertainty quantification in computational fluid dynamics and fluid-structure interaction, H. Bijl, J.A.S. Witteveen, G.J.A. Loeven, 13th International Conference on Computational and Applied Mathematics, ICCAM 2008, Ghent, Belgium, 2008. PDF 12.  A residual distributive approach for one-dimensional two-fluid models and its relation with Godunov finite volume schemes, M. Ricchiuto, D.T. Rubino, J.A.S. Witteveen, H. Deconinck, ASTAR International Workshop on Advanced Numerical Methods for Multidimensional Simulation of Two-Phase Flow, Garching, Germany, 2003. PDF Top of page Upcoming events 1.  SIAM Conference on Uncertainty Quantification, Raleigh, North Carolina, April 2-5, 2012. 2.  14th AIAA Non-Deterministic Approaches Conference, Honolulu, Hawaii, April 23-26, 2012. 3.  European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2012, Vienna, Austria, September 10-14, 2012. Top of page Professional memberships 1.  American Institute of Aeronautics and Astronautics (AIAA) and guest member of the AIAA Non-Deterministic Approaches Technical Committee 2.  Society for Industrial and Applied Mathematics (SIAM) and member of the SIAM Activity Group on Uncertainty Quantification 3.  United States Association for Computational Mechanics (USACM) and International Association for Computational Mechanics (IACM) Top of page