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Markus Peer Rumpfkeil

Professor; Hans von Ohain Endowed Chair in Mechanical and Aerospace Engineering

Full-Time Faculty

School of Engineering: Department of Mechanical and Aerospace Engineering


Email: Markus Rumpfkeil
Phone: 937-229-5319
Kettering Laboratories Room 365 V


Markus Peer Rumpfkeil is a professor and the Hans von Ohain Endowed Chair in the Department of Mechanical and Aerospace Engineering and the aerospace program director. Before joining UD, Markus was a Post-doctoral Research Assistant at the University of Wyoming working with Professor Dimitri Mavriplis on efficient Hessian calculations and uncertainty analysis. He earned his Ph.D. from the University of Toronto Institute for Aerospace Studies (UTIAS) under the supervision of Professor David Zingg. He also obtained a Diplom (a combined B.Sc. and M.Sc.) in Physics from the Humboldt University of Berlin, Germany, with a minor in Mathematics. He wrote his master’s thesis at the Max-Planck Institute for Gravitational Physics. His research interest is the broad area of uncertainty quantification and design optimization applied to computational fluid dynamics (CFD) problems, in which he has published more than 80 peer reviewed journal and conference papers and has advised more than two dozen graduate students.

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Selected Publications

  • Bryson, D., Rumpfkeil, M. (2018). Aeroelastic design optimization using a multifidelity quasi- Newton method. SciTech. AIAA 2018-0102
  • Khamlaj, T., & Rumpfkeil, M. (2018). Analysis and optimization study of shrouded horizontal axis wind turbines. SciTech. AIAA 2018-0996
  • Rumpfkeil, M., & Beran, P. (2018). Multi-fidelity surrogate models for flutter database generation. Tenth International Conference on Computational Fluid Dynamics (ICCFD10).
  • Rumpfkeil, M. (2018, July). Multi-fidelity surrogate models for flutter databases. Presented at an AFRL Seminar, WPAFB, Dayton, Ohio.
  • Boopathy, K., and M.P. Rumpfkeil. 2015. A unified framework for training point selection and error estimation for surrogate models. AIAA Journal 53, no. 1: 215-234.
  • Eldredge, J.D., I. Senocak, P. Dawson, J. Canino, W.W. Liou, R. LeBeau, D.L. Hitt, M.P. Rumpfkeil, and R.M. Cummings. 2014. A best practices guide to CFD education in the undergraduate curriculum. International Journal of Aerodynamics 4, no. 3/4: 200-236.
  • Narvaez, J.A., M.P. Rumpfkeil, H. Thornburg, and R.J. Wilkens. 2014. Computational modeling of a microchannel cold plate: Pressure, velocity, and temperature. International Journal of Heat and Mass Transfer 78: 90-98.
  • Rumpfkeil, M.P. 2013. Robust design under mixed aleatory/epistemic uncertainties using gradients and surrogates. Journal of Uncertainty Analysis and Applications 1:7 (October).
  • Rumpfkeil, M.P. 2013. Optimizations under uncertainty using gradients, Hessians, and surrogate models. AIAA Journal 51, no. 2: 444-451.
  • Rumpfkeil, M.P., and D.J. Mavriplis. 2010. Efficient Hessian calculations using automatic differentiation and the adjoint method with applications. AIAA Journal 48, no. 10: 2406-2417.
  • Rumpfkeil, M.P., and D.W. Zingg. 2010. A hybrid algorithm for far-field noise minimization. Computers and Fluids 39, no. 9: 1516-1528. doi:10.1016/j.compfluid.2010.05.006
  • Rumpfkeil, M.P., and D.W. Zingg. 2010. The optimal control of unsteady flows with a discrete adjoint method. Journal of Optimization and Engineering 11, no. 1: 5-22, doi: 10.1007/s11081-008-9035-5

Courses Taught

  • Fluid Mechanics (Junior year class) every fall and spring 2010 - Present
  • Computational Fluid Dynamics (Senior year / Graduate level) every spring 2011 - Present
  • Special Topics in Computational Fluid Dynamics (Graduate level) intermittent
  • Aerodynamics (Senior year / Graduate level) Summer 2011
  • Introduction to Flight (Sophomore year) every fall 2011 - Present


  • Ph.D. University of Toronto Institute for Aerospace Studies, 2008
  • Diplom Physik (M.S. and B.S. Physics), Humboldt University of Berlin, 2004

Professional Activities

  • Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA)
  • Member of the Scientific Committee of ICCFD (International Conference on Computational Fluid Dynamics)
  • Senior Member, American Institute of Aeronautics and Astronautics (AIAA)

Research Interests

  • Computational fluid dynamics
  • Uncertainty quantification
  • Deterministic PDE constrained optimization
  • Optimization under uncertainty
  • Multidisciplinary design optimization