We aim to provide you with the very best teaching experience. Our speakers include Professor Derksen, who has experience in the field for more than decade and recent graduates who went through the same questions/problems as you do in the moment:

Prof. J.Derksen, University of Alberta, Canada
Email: jos@ualberta.ca
Area of interests:

  1. Meso-scale simulations of solid-liquid suspensions
    • Direct simulation of dense suspensions
    • Particles in non-Newtonian liquids
    • Aggregation & breakage
    • Suspensions of non-spherical particles
    • Two-way meso-macro coupling
  2. Turbulent & transitional flow in process equipment
    • Large-eddy & direct numerical simulations
    • Mixing & separation
    • Non-Newtonian mixing
    • Mobilizing density stratified systems
    • Solid-liquid mixing
  3. Multiphase lattice Boltzmann simulations for liquid-liquid systems
    • Mesoscopic modeling of transport phenomena
    • Direct numerical simulations at the meso-scale
    • Coupling between meso and macro scales

Timm Krüger, Max-Planck-Institut für Eisenforschung, Germany
Email: t.krueger@mpie.de
Area of interests:

  1. Theory and simulation of dense suspensions of deformable particles (in particular blood)
  2. Rheology of dense suspensions (e.g., microscopic origin of shear thinning of blood)
  3. Lattice Boltzmann method (fluid component)
  4. finite element method (particles)
  5. Immersed boundary method (fluid-particle coupling)

Goncalo Silva, Technical University of Lisbon, Portugal
Email: goncalo.silva@ist.utl.pt
Research interests:

  1. Lab-on-a-CD device, Lab-on-a-Chip concept in a rotating platform
  2. Microfluidics
  3. Finite Volume Method
  4. Theory of the Lattice Boltzmann Method
  5. Microscopic Particle Image Velocimetry (micro-PIV)

Dr. Alexandr Kuzmin, University of Alberta, Canada
Email: kuzmin@ualberta.ca
Research interests:

  1. Theory of the LBM
  2. Numerical Methods
  3. Stability of the LBM schemes
  4. Multiphase models
  5. Multiphase flows in microchannels
  6. Mass transfer
  7. High Performance Computing