Dr Hayder Salman

Career

  • 2007-present: Postdoctoral Research Associate, University of Cambridge
  • 2003-2007: Postdoctoral Research Fellow, University of North Carolina at Chapel Hill
  • 2002-2003: Postdoctoral Research Associate, MIT
  • 2001-2002: Postdoctoral Research Associate, Brown University

Research

Hayder Salman is a member of the Quantum Fluids group in DAMTP. He is an applied mathematician whose primary research interests are in nonlinear waves, non-equilibrium statistical mechanics, and turbulence with applications to Bose-Einstein condensates and superfluids. His other research interests include chaotic advection with applications to transport and mixing, and stochastic dynamic prediction.

Selected Publications

  • H. Salman and N.G. Berloff. Condensation  of classical nonlinear waves in a two-component, Physica D (2009).

  • H. Salman. Hybrid Grid/Particle Filter for Lagrangian  Data Assimilation. Part I: Formulating the passive scalar approximation, Q. J. Roy. Meteor. Soc. 134, 1539-1550, (2008).

  • H. Salman. A Hybrid Grid/Particle Filter for Lagrangian Data Assimilation. Part II: Application to a model vortex flow, Q. J. Roy. Meteor. Soc. 134, 1551-1565, (2008).

  • H. Salman, K. Ide, C.K.R.T. Jones. Using Flow Geometry for Drifter Deployment in Lagrangian Data Assimilation, Tellus A. 60, 336-347, (2008). 

  • H. Salman and P.H. Haynes. A Numerical Study of Passive Scalar Evolution in Peripheral Regions, Phys. Fluids. 19, 067101 1-20, (2007).

  • H. Salman, J.S. Hesthaven, T. Warburton, G. Haller. Predicting Transport by Lagrangian Coherent Structures with a High Order Method, Theor. Comp. Fluid Dyn. 21, 39-58, (2007).

  •  L. Kuznetsov, C.K.R.T. Jones, K. Ide. A Method for Assimilating Lagrangian Data into a Shallow-Water Equation Ocean Model. Mon. Weather Rev. 134, 1081-1101, (2006).
  • H. Salman, M. Soteriou. Lagrangian simulation of evaporating droplet sprays, Phys. Fluids. 16, 4601-4622, (2004).
  • H. Salman, G.J. Page, J.J. McGuirk. Prediction of lobed mixer vortical structures with a k-epsilon turbulence model, AIAA Journal. 41, 878-887, (2003).