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CEMSE

Computer, Electrical and Mathematical Sciences and Engineering

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KAUST CEMSE AMCS Daniele Boffi

Daniele Boffi

Professor, Applied Mathematics and Computational Sciences
  • AMCS
  • CEMSE
  • NumPDE
  • mixed finite elements
  • fluid dynamics
Professors
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Matteo Parsani

Associate Professor, Applied Mathematics and Computational Sciences
  • AANS
  • AMCS
  • CEMSE
  • ECRC
  • AI
  • ME
  • Structure-Preserving Algorithms
  • fluid dynamics
  • High Performance Computing
Professors
Lisandro Dalcin

Lisandro Dalcin

Research Scientist, Extreme Computing Research Center
  • CEMSE
  • ECRC
  • HiCMA
  • petsc
  • High Performance Computing
  • fluid dynamics
Research Scientists
Irving Reyna

Irving Enrique Reyna Nolasco

PhD Student, Applied Mathematics and Computational Sciences
  • AANS
  • AMCS
  • CEMSE
  • ECRC
  • fluid dynamics
  • High Performance Computing
  • machine learning
Students
AMCS Seminar - Hua Shen

Hua Shen

Postdoctoral Research Fellow,
  • AMCS
  • CEMSE
  • ECRC
  • High Performance Computing
  • fluid dynamics
Former Members
KAUST-CEMSESeminar Particle Approximations For Partially Observed Fluid Dynamics Models
Particle Approximations For Partially Observed Fluid Dynamics Models
Professor Dan Crisan, Mathematics, Imperial College London
Wednesday, November 03, 15:00
- 16:00
https://kaust.zoom.us/j/98631176164
  • AMCS
  • CEMSE
  • fluid dynamics
  • data assimilation
  • stochastic
Seminar
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KAUST CEMSE CS ECE AI VCC VCCIMAGING Numerical Algorithm Holo Flow
Harnessing the particle-tracking power of the algorithm
1 year 6 months ago
  • CEMSE
  • CS
  • ECE
  • AI
  • VCC
  • VCCIMAGING
  • fluid dynamics
  • visual computing
  • algorithms
Better racing car design through an industry partnership
3 years 10 months ago
  • CEMSE
  • AMCS
  • ECRC
  • applied mathematics
  • computational science
  • fluid dynamics

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