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AMCS

Applied Mathematics and Computational Sciences

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KAUST CEMSE CS AMCS STAT ECRC VCC Peter Richtarik Photo

Peter Richtarik

Professor, Computer Science
  • AMCS
  • CS
  • CEMSE
  • ECRC
  • AI
  • OML
  • STAT
  • VCC
  • optimization
  • machine learning
  • Big Data
Professors
KAUST CEMSE AMCS STOCHNUM Erik von Schwerin

Erik von Schwerin

Research Scientists, Stochastic Numerics Research Group
  • AMCS
  • CEMSE
  • STOCHNUM
  • multiscale methods
  • hybrid modelling
  • algorithms
Research Scientists
Thumbnail

Alibek Sailanbayev

PhD Student, Applied Mathematics and Computational Sciences
  • AMCS
  • CEMSE
  • OML
  • VCC
  • optimization
  • machine learning
  • algorithms
Students
Elnur Gasanov

Elnur Gasanov

MS Student, Applied Mathematics and Computational Sciences
  • CS
  • CEMSE
  • OML
  • VCC
  • optimization
  • machine learning
  • algorithms
Students
KAUST CEMSE AMCS STAT Graduate Seminar Meriem Laleg Estimation problems for differential equations
Estimation problems for partial and fractional differential equations
Taous-Meriem Laleg-Kirati
Thursday, November 21, 12:00
- 13:00
Building 9, Level 2, Hall 1, Room 2322
  • AMCS
  • CNR
  • CBRC
  • CEMSE
  • ECE
  • EMANG
  • STAT
  • Fractional differential equations
  • Partial Differential Equations
  • Estimation problems
Graduate Seminar
KAUST Campus
PCCFD - Predictive Complex Computational Fluid Dynamics
David Keyes
Monday, May 22, 08:45
- 05:00
B9, Engineering Science Hall, L2, Hall 1
  • AMCS
  • CS
  • CEMSE
  • ECRC
  • ​CFD
  • algorithms
  • applied mathematics
Workshop
Ferrofluid surface simulations go more than skin deep
1 year 4 months ago
  • CEMSE
  • CS
  • CSG
  • AMCS
  • VCC
  • algorithms
  • visual computing
  • Computer science
Image
KAUST CEMSE CS AMCS STAT VCC ECRC P RICHTARIK Machine Learning Models Gather Momentum
Machine learning models gather momentum
2 years 5 months ago
  • CEMSE
  • CS
  • STAT
  • VCC
  • ECRC
  • AMCS
  • OML
  • algorithms
  • machine learning
  • Computer science

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