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Computer, Electrical and Mathematical Sciences and Engineering

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KAUST CEMSE AMCS STAT CompProb Ajay Jasra

Ajay Jasra

Professor, Applied Mathematics and Computational Sciences
  • AMCS
  • COMPPROB
  • CEMSE
  • STAT
  • Monte carlo methods
  • Bayesian Statistics
  • Marko Chain Theory
Professors
KAUST CEMSE AMCS STAT CompProb Hamza M. Ruzayqat

Hamza M. Ruzayqat

Postdoctoral Research Fellow, Computational Probability
  • AMCS
  • COMPPROB
  • CEMSE
  • computational probability
  • Monte carlo methods
  • kinetic monte carlo
Postdoctoral Fellows
KAUST CEMSE AMCS COMPPROB Miguel Ángel Álvarez Ballesteros

Miguel Angel Alvarez Ballesteros

MS Student, Applied Mathematics and Computational Sciences
  • AMCS
  • COMPPROB
  • CEMSE
  • Monte carlo methods
  • Bayesian computational statistics
Students
KAUST CEMSE STAT PhD Dissertation Defense Fangyuan Yu
Coupled Sampling Methods for Filtering
Fangyuan Yu
Monday, March 07, 15:00
- 17:00
https://kaust.zoom.us/j/6992288669
  • COMPPROB
  • CEMSE
  • STAT
  • Monte carlo methods
  • computational statistics
  • Markov models
PhD Dissertation Defense
KAUST CEMSE CS Graduate Seminar Timo Ropinski Learning for Visual Data Synthesis and Analysis
Learning for Visual Data Synthesis and Analysis
Dr. Timo Ropinski, Professor, Visual Computing, Ulm University, Germany
Monday, October 07, 12:00
- 13:00
Building 9, Level 2, Hall 1, Room 2322
  • CS
  • CEMSE
  • NANOVIS
  • Deep learning
  • visual data synthesis
  • visual data analysis
Graduate Seminar

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