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Applied Mathematics and Computational Sciences

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APPLIEDPDE Grigorios Kounadis

Grigorios Kounadis

Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences
  • AMCS
  • APPLIEDPDE
  • CEMSE
  • numerical methods for PDE's
  • scientific computing
Postdoctoral Fellows
I.Mousikou

Ioanna Mousikou

PhD Student, Applied Mathematics and Computational Sciences
  • AMCS
  • APPLIEDPDE
  • CEMSE
  • Applied PDE's
  • numerical methods for PDE's
  • Computational mathematics
Students
Th.Katsaounis

Theodoros Katsaounis

Research Scientist, Applied PDE group
  • AMCS
  • APPLIEDPDE
  • CEMSE
  • Computational mathematics
  • Mathematical modeling
  • scientific computing
Former Members
KAUST-CEMSE-AMCS-MAC-Tao-Zhou-Deep-Adpative-Sampling.png
Deep Adaptive Sampling for Numerical PDEs
Prof. Tao Zhou, Chinese Academy of Sciences
Tuesday, November 19, 16:00
- 17:00
Building 1, Level 3, Room 3119
  • AMCS
  • CEMSE
  • numerical methods for PDE's
  • sampling
Mathematics and Applications Colloquium
KAUST CEMSE AMCS Graduate Seminar Matteo ParsaniUnveiling the potential of energy/entropy stable numerical methods for hyperbolic/mixed hyperbolic-parabolic PDEs
Unveiling the potential of energy/entropy stable numerical methods for hyperbolic/mixed hyperbolic-parabolic PDEs
Matteo Parsani
Thursday, February 13, 12:00
- 13:00
Building 9, Level 2, Hall 1
  • CEMSE
  • algorithm
  • Hyperbolic PDEs
  • PDE
Graduate Seminar

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