Krzysztof Fidkowski

- Program Years: 2003-2007
- Academic Institution: Massachusetts Institute of Technology
- Practicum(s):
Argonne National Laboratory (2004) - Degree(s):
Ph.D. Aeronautics & Astronautics, Massachusetts Institute of Technology, 2007
M.S. Aerospace Engineering, Massachusetts Institute of Technology, 2004
B.S. Aerospace Engineering & Physics, Massachusetts Institute of Technology, 2003 - Field of Study: Computational Fluid Dynamics
- Academic Advisor: David Darmofal
- Contact Information:
- Status: Assistant Professor, Aerospace Engineering, University of Michigan
- Personal URL: http://www-personal.umich.edu/~kfid/
- Research Area: Computational Fluid Dynamics
Publications:
M.A. Ceze and K.J. Fidkowski An Anisotropic hp-Adaptation Framework for Functional Prediction. AIAA Journal, Accepted.K.J. Fidkowski, M.A. Ceze, and P.L. Roe. Entropy-based Drag Error Estimation and Mesh Adaptation in Two Dimensions. AIAA Journal of Aircraft, Accepted.
C. Lieberman, K. Fidkowski, K. Willcox, and B. van Bloemen Waanders. Hessian-based Model Reduction: Large-Scale Inversion and Prediction. International Journal for Numerical Methods in Fluids, 2012, doi:10.1002/fld.3650.
K.J. Fidkowski, and Y.Luo. Output-based Space-Time Mesh Adaptation for the Compressible Navier-Stokes Equations. Journal of Computational Physics, 230, 2011, pp 5753-5773.
K.J. Fidkowski. Output Error Estimation Strategies for Discontinuous Galerkin Discretizations of Unsteady Convection-Dominated Flows. International Journal for Numerical Methods in Engineering, 2011, DOI: 10.1002/nme.3224.
K.J. Fidkowski, and D.L. Darmofal. Review of Output-Based Error Estimation and Mesh Adaptation in Computational Fluid Dynamics. AIAA Journal, 49(4), 2011, pp 673-694.
K.J. Fidkowski, and P.L. Roe. An Entropy Adjoint Approach to Mesh Refinement. SIAM Journal on Scientific Computing, 32(3), 2010, pp 1261-1287.
D. Galbally, K. Fidkowski, K. Willcox, and O. Ghattas, Nonlinear Model Reduction for Uncertainty Quantification in Large-Scale Inverse Problems. International Journal for Numerical Methods in Engineering, 81(12), 2009, pp 1581-1603.
K.J. Fidkowski and D.L. Darmofal. A Triangular Cut–Cell Adaptive Method for High–order Discretizations of the Compressible Navier–Stokes Equations. Journal of Computational Physics, 225, 2007, pp 1653-1672.
D.W. Milanes, D.R. Kirk, K.J. Fidkowski, I.A. Waitz. Gas Turbine Engine Durability Impacts of High-Fuel-Air Ratio Combustors: Near Wall Reaction Effects on Film-cooled Backward-facing Step Heat Transfer. Journal of Engineering for Gas Turbines and Power, 128(2), 2006, pp 318-325.
K.J. Fidkowski, T.A. Oliver, J. Lu, and D.L. Darmofal. p-Multigrid Solution of High-order Discontinuous Galerkin Discretizations of the Compressible Navier–Stokes Equations. Journal of Computational Physics, 207(1), July 2005, pp 92-113.
A. Quirrenbach, J.E. Roberts, K.J. Fidkowski, W. de Vries, and W. van Breugel. Keck Adaptive Optics Observations of the Radio Galaxy 3C294: A Merging System at z = 1.786? The Astrophysical Journal, 556, 2001 July 20, pp 108-112.
J.J.Kirchner, U.J.Becker, R.B.Dinner, K.J.Fidkowski, and J.H.Wyatt. Optimization of Drift Gases for Accuracy in Pressurized Drift Tubes. Nuclear Instruments and Methods in Physics Research, A474, 2001 February 16.
Awards:
Air Force Office of Scientific Research Young Investigator Award, 2011Salisbury award for superior academic achievement in Aeronautics/Astronautics (2003, MIT)
National Merit Scholar, 1999
Honor Societies: Tau Beta Pi, Phi Beta Kappa, Sigma Pi Sigma
Admiral Luis de Florez Award for Original Thinking and Ingenuity, 2002
AP Scholar with Distinction




