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AMCS

Applied Mathematics and Computational Sciences

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Aritra Dutta

Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences
  • AMCS
  • CEMSE
  • ECRC
  • CLOUD
  • machine learning
  • Deep learning
  • convex optimization
Postdoctoral Fellows
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Han Shao

PhD Student, Applied Mathematics and Computational Sciences
  • AMCS
  • CSG
  • CEMSE
  • VCC
  • computer graphics
  • Deep learning
  • physical simulation
Students
KAUST CEMSE AMCS Seminar Arnulf Jentzen Overcoming the curse of dimensionality: from nonlinear Monte Carlo to deep learning
Overcoming the curse of dimensionality: from nonlinear Monte Carlo to deep learning
Arnulf Jentzen, Professor, Applied Mathematics Münster: Institute for Analysis and Numerics, University of Münster
Sunday, January 10, 14:00
- 15:00
https://kaust.zoom.us/j/98762931020
  • AMCS
  • CEMSE
  • nonlinear
  • Deep learning
  • monte carlo algorithms
Seminar
KAUST CEMSE AMCS STAT Graduate Seminar Xin Gao Quantitative understanding of transcription factor
Quantitative understanding of transcription factor regulation at network- and molecular-levels through optimization and deep learning
Thursday, April 16, 12:00
- 13:00
https://kaust.zoom.us/j/706745599
  • AMCS
  • CBRC
  • CEMSE
  • STAT
  • transcription factor
  • optimization
  • Deep learning
Graduate Seminar
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KAUST CEMSE STAT ES Fouzi Harrou
Dr. Harrou receives two IEEE ECBIOS 2021 best paper awards
2 months 1 week ago
  • CEMSE
  • AMCS
  • ES
  • STAT
  • renewable energy systems
  • Deep learning

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