Education:

Massachusetts Institute of Technology

PhD Aerospace Engineering ’07
SM Aerospace Engineering ’04
SB Aerospace Engineering ’03
SB Physics ’03

Teaching: ^top

Aerodynamics
Numerical methods
Computational fluid dynamics

Research Interests: ^top

• Robust algorithms for computational fluid dynamics
• Geometry management and mesh generation
• Parallel computation
• Large-scale model reduction
• Output-based error estimation
• Design under uncertainty

Biography: ^top

Krzysztof Fidkowski is an associate professor in the Aerospace Engineering Department at the University of Michigan.  His research interests include development of robust solution techniques for computational fluid dynamics, error estimation, computational geometry management, parallel computation, large-scale model reduction, and design under uncertainty.  His teaching interests are in undergraduate aerodynamics and numerical methods, and in graduate computational fluid dynamics.

POSITIONS HELD AT U-M

Associate Professor, Aerospace Engineering, 2014 – present
Assistant Professor, Aerospace Engineering, 2008 – 2014

Publications: ^top

[1] Krzysztof J. Fidkowski. A hybridized discontinuous Galerkin method on mapped de- forming domains. Computers and Fluids, In Press, 2016. doi:10.1016/j.compfluid.2016.04.004.

[2] Steven M. Kast, Johann P.S. Dahm, and Krzysztof J. Fidkowski. Optimal test functions for boundary accuracy in discontinuous finite element methods. Journal of Computational Physics, 298(1):360 – 386, 2015. URL: http://www.sciencedirect.com/ science/article/pii/S0021999115003885, doi:10.1016/j.jcp.2015.05.048.

[3] Marco A. Ceze and Krzysztof J. Fidkowski. Constrained pseudo-transient continuation. International Journal for Numerical Methods in Engineering, 102:1683–1703, 2015. doi:10.1002/nme.4858.

[4] Devina Sanjaya, Krzysztof Fidkowski, and Ian Tobasco. Adjoint-accelerated statisti- cal and deterministic inversion of atmospheric contaminant transport. Computers and Fluids, 100(1):291–307, 2014. doi:10.1016/j.compfluid.2014.05.021.

[5] K.J. Fidkowski. Algebraic tailoring of discontinuous Galerkin p-multigrid for convection. Computers and Fluids, 98(2):164–176, 2014. doi:10.1016/j.compfluid.2014.01.021.

[6] M. A. Ceze and K. J. Fidkowski. Drag prediction using adaptive discontinuous finite elements. AIAA Journal of Aircraft, 51(4):1284–1294, 2014. doi:10.2514/1.C032622.

[7] Steven M. Kast and Krzysztof J. Fidkowski. Output-based mesh adaptation for high or- der Navier-Stokes simulations on deformable domains. Journal of Computational Physics,252(1):468–494, 2013. doi:10.1016/j.jcp.2013.06.007.

[8] Z.J. Wang, Krzysztof Fidkowski, Remi Abgrall, Francesco Bassi, Doru Caraeni, Andrew Cary, Herman Deconinck, Ralf Hartmann, Koen Hillewaert, H.T. Huynh, Norbert Kroll, Georg May, Per-Olof Persson, Bram van Leer, and Miguel Visbal. High-order CFD methods: Current status and perspective. International Journal for Numerical Methods in Fluids, 2013. doi:10.1002/fld.3767.

[9] Marco A. Ceze and Krzysztof J. Fidkowski. An anisotropic hp-adaptation framework for functional prediction. American Institute of Aeronautics and Astronautics Journal, 51:492–509, 2013. doi:10.2514/1.J051845.

[10] T. J. Drzewiecki, I. M. Asher, T. P. Grunloch, V. E. Petrov, K. J. Fidkowski, A. Manera, and T. J. Downar. Parameter sensitivity study of boiling and two-phase flow models in CFD. Journal of Computational Multiphase Flow, 4(4), 2012. doi:10.1260/1757-482X.4.4.411.

[11] 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, 49(5):1485–1496, September-October 2012. doi:10.2514/1.C031795.

[12] 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.

[13] R.P. Drake, F.W. Doss, R.G. McClarren, M.L. Adams, N. Amato, D. Bingham, C.C. Chou, C. DiStefano, K. Fidkowski, B. Fryxell, T.I. Gombosi, M.J. Grosskopf, J.P. Hol- loway, B. van der Holst, C.M. Huntington, S. Karni, C.M. Krauland, C.C. Kuranz, E. Larsen, B. van Leer, B. Mallick, D. Marion, W. Martin, J.E. Morel, E.S. Myra, V. Nair, K.G. Powell, L. Rauchwerger, P. Roe, E. Rutter, I.V. Sokolov, Q. Stout, B.R. Torralva, G. Toth, K. Thornton, and A.J. Visco. Radiative effects in radia- tive shocks in shock tubes. High Energy Density Physics, 7:130–140, 2011. doi:10.1016/j.hedp.2011.03.005.

[14] Krzysztof J. Fidkowski and Yuxing Luo. Output-based space-time mesh adaptation for the compressible Navier-Stokes equations. Journal of Computational Physics, 230:5753–5773, 2011. doi:10.1016/j.jcp.2011.03.059.

[15] Krzysztof J. Fidkowski. Output error estimation strategies for discontinuous Galerkin discretizations of unsteady convection-dominated flows. International Journal for Nu- merical Methods in Engineering, 88(12):1297–1322, 2011. doi:10.1002/nme.3224.

[16] Krzysztof J. Fidkowski and David L. Darmofal. Review of output-based error estimation and mesh adaptation in computational fluid dynamics. American Institute of Aeronautics and Astronautics Journal, 49(4):673–694, 2011. doi:10.2514/1.J050073.

[17] Krzysztof J. Fidkowski and Philip L. Roe. An entropy adjoint approach to mesh refinement. SIAM Journal on Scientific Computing, 32(3):1261–1287, 2010. doi:10.1137/090759057.

[18] 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, 81:1581–1608, 2009. doi:10.1002/nme.2746.

[19] 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, 225:1653–1672, 2007. doi:10.1016/j.jcp.2007.02.007.

[20] D.W. Milanes, D.R. Kirk, K.J. Fidkowski, and 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):318–325, 2006. doi:10.1115/GT2002-30182.