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DFD Home   |   APS Fellowship

APS Fellowship


Gray arrow DFD Deadline for APS Fellowship Nomination: Monday, April 2, 2012
Gray arrow APS Fellowship Information

APS Fellows Nominated by DFD 

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Adams, Nikolaus [2011]
Technische Universitat Munchen
Citation: For the development of novel numerical methods for Computational Fluid Dynamics, and for their successful application to elucidate dynamics of turbulent boundary layers and shock-turbulence interactions.


Bruus, Henrik [2011]
Tech Univ of Denmark
Citation: For contributions to microfluidics including innovative research in lab-on-a-chip systems, electrohydrodynamics, and acoustics, and as the author of a leading textbook on theoretical microfluidics.


Chong, Min [2011]
University of Melbourne
Citation: For contributions to the development of series-expansion approaches to the Navier-Stokes equations to the use of topology in the study of flow patterns in turbulence, and to our understanding of the structure of jets, wakes, wall turbulence and hot-wire anemometry.


Farge, Marie [2011]
Ecole Normale Supericeure
Citation: For pioneering research applying wavelets to the analysis and computation of turbulent flows in two and three dimensions.


Freund, Jonathan [2011]
University of Illinois, Urbana-Champaign
Citation: For his pioneering and incisive numerical simulation studies of atomic-scale and biological flows, free shear flow turbulence, and jet aeroacoustics.


Ghosal, Sandip [2011]
Northwestern University
Citation: For insightful mathematical models of multi-physics and multi-scale fluid flow phenomena.


Graham, Michael [2011]
University of Wisconsin, Madison
Citation: For diverse contributions to the understanding of complex fluids, including the flow of polymer solutions in confined geometries, the nonlinear dynamics of viscoelastic flows at low and high Reynolds numbers, and the collective dynamics of swimming microorganisms.


Grinstein, Fernando F. [2011]
Los Alamos National Laboratory
Citation: For outstanding technical leadership in the formalization, development, and validation of novel large-eddy simulation strategies, and for their application to transitional and turbulent flows.


Hu, Howard [2011]
University of Pennsylvania
Citation: For pioneering contributions to the understanding of multiphase flows, particularly the direct numerical simulations of Newtonian and viscoelastic particulate flows.


Kaneda, Yukio [2011]
Nagoya University
Citation: For seminal achievements in the understanding of high Reynolds number turbulence, especially through pioneering the conduct of direct numerical simulations at massive scale, and for international leadership in the turbulence and computational science communities.


Klewicki, Joseph [2011]
University of New Hampshire
Citation: For insightful studies revealing the properties and scaling of turbulent boundary layers over a large Reynolds number range, and for developing and sharing with the research community unique flow facilities to carry out such studies.


Mahesh, Krishnan [2011]
University of Minnesota
Citation: For the development of novel numerical algorithms and creative physical insights leading to enhanced understanding of complex turbulent flows, including shock/turbulence interactions, jets in cross flow, reacting flows, and multiphase flows.


Megaridis, Constantine [2011]
University of Illinois, Chicago
Citation: For pioneering the development of thermophoretic sampling, as well as contributions to the fluid dynamics of droplet impact and the behavior of fluids in nanoenclosures.


Mittal, Rajat [2011]
Johns Hopkins University
Citation: For fundamental contributions to the development of immersed boundary methods in computational fluid dynamics and for the understanding of the structure of bluff body wakes, fluid dynamics of locomotion, active flow control, and biomimetics & bioinspired engineering.


Schmid, Peter J. [2011]
CRNS Ecole Polytechnique
Citation: For profound contributions to non-modal stability theory which have elucidated the mechanisms responsible for by-pass transition in shear flows. For the development of powerful methods capable of extracting the dominant dynamic modes and reduced-order models from experimental and numerical data.


Wang, Lian-Ping [2011]
University of Delaware
Citation: For pioneering contributions to the understanding of turbulent flows and turbulent particle-laden flows, relevant to fine-scale dynamic similarity, turbulent dispersion, settling rate, preferential concentration, collision rate and collision efficiency of inertial particles.


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