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CEMSE

Computer, Electrical and Mathematical Sciences and Engineering

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KAUST CEMSE AMCS CS ECRC David Keyes

David Keyes

Professor, Applied Mathematics and Computational Sciences
  • AMCS
  • CS
  • CEMSE
  • ECRC
  • HiCMA
  • exascale
  • High Performance Computing
  • parellel computing
Professors
KAUST CEMSE AMCS STAT CompProb Hamza M. Ruzayqat

Hamza M. Ruzayqat

Research Scientist, Computational Probability
  • AMCS
  • COMPPROB
  • CEMSE
  • computational probability
  • Monte carlo methods
  • kinetic monte carlo
Research Scientists
KAUST CEMSE generic avatar

Habib Toye Mahamadou Kele

PhD Student, Applied Mathematics and Computational Sciences
  • AMCS
  • CEMSE
  • ASSIMILATION
  • Ensemble ocean forecasting
  • ocean forecasting
  • High Performance Computing
Students
KAUST CEMSE AMCS STOCHNUM Hakon A. Hoel

Håkon A. Hoel

Visiting Researcher, Stochastic Numerics Research Group
  • AMCS
  • CEMSE
  • SRI
  • STOCHNUM
  • numerical analysis
  • Mathematical modeling
  • data assimilation
Former Members
KAUST-CEMSE-AMCS-Is-Probability-Theory-the-Only-Viable-Solution-to-Modelling-Statistical-Information?
Is probability theory the only viable solution to modelling statistical information?
Prof. Jeremie Houssineau, Department of Statistics, University of Warwick.
Wednesday, November 24, 15:00
- 16:00
https://kaust.zoom.us/j/91387811431
  • AMCS
  • CEMSE
  • probability theory
  • data assimilation
Seminar
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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