Photo of Eurika
 
Eurika Kaiser
research in turbulence control
 
Eurika@uw.edu
 
Academic background

since 2016
PostDoc at the Mechanical Engineering Department at University of Washington, Seattle, USA.
Advisors: Steven Brunton, Nathan Kutz

2016 WRF and Moore/Sloan Postdoctoral Fellow at eScience Institute
2014-2015
Visiting researcher position at the Department of Mechanical Engineering at Florida State University, Tallahassee, USA.
Advisors: Louis Cattafesta, Farrukh Alvi
2012-2015
PhD Student in the Turbulence Control Team – PPRIME, Poitiers, France
Advisors: Bernd Noack, Andreas Spohn
2012
Diplom-Ingenieurin (M.Sc.) in Physical Engineering at Technische Universität Berlin, Germany
Thesis advisor: Michael Schlegel
2010-2012
Research Assistant of the Computational Fluid Dynamics GroupTechnische Universität Berlin, Germany
Advisor: Michael Schlegel, Jörn Sesterhenn
2010-2011
Research Assistant at the Biofluid Mechanics Lab – Charité, Berlin, Germany
Upcoming Talks

  • Kaiser, E. & friends "Cluster-based reduced-order modeling and control of nonlinear dynamics". SIAM Annual Meeting, July 11-15, 2016, Boston, MA, USA.

Publications

  • Kaiser, E., Noack, B.R., Spohn, A. & Cattafesta, L.N. (2016) "Cluster-based control of a separating flow". Submitted manuscript Special Issue on Global Flow Instability and Control by Vassilis Theofilis and Ati Sharma (ED.) in Theoretical and Computational Fluid Dynamics. ( arXiv )
  • Bai, Z., Brunton, S. L., Brunton, B. W., Kutz, J. N., Kaiser, E., Spohn, A. & Noack, B.R. (2016) "Data-driven methods in fluid dynamics: Sparse classification from experimental data". To appear in Whither Turbulence and Big data in the 21st Century, Springer.
  • Niven, R.K., Noack, B.R., Kaiser, E., Cattafesta, L.N., Cordier, L. & Abel, M. (2015) "Bayesian cyclic networks, mutual information and reduced-order Bayesian inference (Invited)". Invited submitted manuscript to 35th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Egnineering, Clarkson University, NY, USA, 19-24 July, 2015.
  • Östh, J., Kaiser, E., Krajnović, S. & Noack, B.R. (2015) "Cluster-based reduced-order modelling of the flow in the wake of a high-speed train". Journal of Wind Engineering and Industrial Aerodynamics, 145, pp 327-338. ( pdf )
  • Cao, Y., Kaiser, E., Borée, J., Noack, B. R., Thomas, L. & Guilan, S. (2014) "Cluster-based analysis of Cycle-to-Cycle Variations. Application to internal combustion engines". Exp. Fluids, 55:1837. ( html, pdf )
  • Kaiser, E., Noack, B.R., Cordier, L., Spohn, A., Segond, M., Abel, M., Daviller, G., Östh, J., Krajnović, S. & Niven, R.K. (2014) "Cluster-based reduced-order modelling of a mixing layer". Journal of Fluid Mechanics, 754, pp 365-414. ( arXiv, html, pdf )
  • Kaiser, E., Noack, B.R., Cordier, L., Spohn, A., Segond, M., Abel, M., Daviller, G. Morzyński, M., Östh, J., Krajnović, S. & Niven, R.K. (2014) "Cluster-based reduced-order modelling of shear flows". Chapter in the book Niven, R. K, Brewer, B., Paull, D. , Shafi, K. & Stokes, B. (ED.), Bayesian Inference and Maximum Entropy Methods in Science and Egnineering, AIP Publishing, Melville, New York.
  • Berger, Z. P., Berry, M. G., Shea, P., Glauser, M., Jiang, N., Goginemi, S., Kiel, B., Kaiser, E., Noack, B.R. & Spohn, A. (2014) "Analysis of High Speed Jet Flow Physics with Time-Resolved PIV". Technical Paper presented at the AIAA Science and Technology Forum and Exposition 2014, 13-17 Jan. 2014, National Harbor, MD, USA.
  • Kaiser, E., Spohn, A., Cordier, L. & Noack, B.R. (2013) "Local forcing of laminar separation bubbles". Paper in the Proceedings of the 8th International Symposium On Turbulent and Shear Flow Phenomena (TSFP-8) (EDs.: Bonnet, J.-P., Sung, H.J., Vervisch, L. & Hanjalic, K.), 28-30 Aug. 2013, Poitiers, France. ( pdf )