SRI - Center for Uncertainty Quantification
in Computational Science & Engineering
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Content Details
Contact us:
SRI - Center for Uncertainty Quantification in Computational Science & Engineering
Email: erik.vonschwerin@kaust.edu.sa
UN 1500 Building 1, Al-Khawarizmi, 4th Floor, 4242
Thuwal 23955-6900, Kingdom of Saudi Arabia
Office:
+966 (12) 808 0307
Click here to download the brochure of the Center
.
Mission of the Uncertainty Quantification Center
The mission of the SRI UQ Center is to become an internationally recognized
Center
for research in Uncertainty Quantification (UQ) and Verification and Validation. The center will
advance the state of the art in UQ and VV methods, algorithms, and software
while focusing
on high-impact applications such as
i) green wireless communications
ii) complex multi-scale electromagnetic
systems
iii) reactive computational fluid dynamics
Computational and data-driven certification and design
:
The novel UQ methodology will be relevant to systems for which testing is expensive or difficult and that operate outside the normal range of laboratory conditions. Systematic UQ is crucial for the development of new technological products that need to meet regulatory and budget constraints. The UQ Center will thus provide KAUST with a leadership position to engage in ambitious research projects by facilitating and streamlining technology transfers to applications of interest to industrial companies and National Laboratories;
Research driven education and training
:
The SRI UQ Center will build a curriculum of courses and research mentorship on UQ-VV, which will have a direct impact on the KAUST MCSE Master and PhD programs and, given the interdisciplinary nature of UQ, on other KAUST programs. Moreover, the Center will generate unique networking opportunities for postdocs and graduate students who will be able to:
a) participate in exchange programs
b) be co-advised externally, and
c) benefit from center-driven short courses and scientific meetings.
Visibility and recruitment
:
The UQ Center will enhance KAUST’s visibility and recruitment opportunities at the faculty and postdoctoral levels by leveraging our extensive
collaborator network.
No
Alexander von Humboldt
Professor Raul Tempone awarded Germany’s most endowed research award
Zaid Sawlan
Statistical analysis and Bayesian methods for fatigue life prediction and inverse problems in linear time dependent PDEs
Nadhir Ben Rached
Rare Events Simulations with Applications to the Performance Evaluation of Wireless Communication Systems
SRI UQ Center
Publications
SRI UQ Annual Meeting
UQAW 2016, 5 - 10 January
Juho Häppölä
PhD thesis entitled "Efficient Numerical Methods for Stochastic Differential Equations in Computational Finance"
Congratulations
to Dr. Abdul Lateef Haji Ali, the new Hooke fellow at Oxford University.
Soumaya ElKantassi
successfully defended her MS Thesis, April 2017
Abdul-Lateef Haji-Ali
successfully defended his PhD thesis on May 19th, 2016
KAUST UQ School 2016
Organizers: Raul Tempone - KAUST & Fabio Nobile - EPFL
MIMClib:
new open source library for UQ problems
Victor Zavala
April 25 - 27, 2016
SRI UQ Center
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in Computational Science & Engineering
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