Skip to main content
CEMSE Join Us
Join Us
Study at KAUST
Work at KAUST
CEMSE Openings
Internships
KAUST Alumni Community
Campus Life
Ask a Graduate Student
Top Header Form Menu
News
Events Calendar
CEMSE
Computer, Electrical and Mathematical Sciences and Engineering
CEMSE Main navigation
About
Message from the Dean
CEMSE Openings
CEMSE Brochure 2020 - 21
Annual Report 2019 PDF
Annual Report 2019 template PowerPoint
Contacts
About the 5th CMSA
Research
Research Groups
Research Highlights
Research Centers
Research Initiatives
Programs
Applied Mathematics and Computational Science
Computer Science
Electrical and Computer Engineering
Statistics
Study
Internships
People
All People
Professors
Students
Research Scientists
Postdoctoral Fellows
Administrative Staff
Visiting Scientists
Alumni
Campus Life
Life at KAUST
Accomodation
Health Care
International School and Daycare
Services
Athletics & Recreation
Search by Keywords
Search by Name or Title
Content type
Article
Event
Person
Project
Items per page
12
24
48
72
144
288
- All -
Ajay Jasra
Professor,
Applied Mathematics and Computational Sciences
AMCS
COMPPROB
CEMSE
STAT
Monte carlo methods
Bayesian Statistics
Marko Chain Theory
Hamza M. Ruzayqat
Postdoctoral Research Fellow,
Computational Probability
AMCS
COMPPROB
CEMSE
computational probability
Monte carlo methods
kinetic monte carlo
Miguel Angel Alvarez Ballesteros
MS Student,
Applied Mathematics and Computational Sciences
AMCS
COMPPROB
CEMSE
Monte carlo methods
Bayesian computational statistics
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
