Conference: SIAM UQ20
Conference on Uncertainty Quantification 2020
The SIAM Conference on Uncertainty Quantification (UQ20) will be held at the Garching campus of the Technical University of Munich (TUM) from 24 to 27 March 2020. We are pleased to welcome seven internationally leading researchers in the field of Uncertainty Quantification (UQ) as plenary speakers.
All interested parties are warmly welcome. Doctoral and master’s students can register with a discounted fee. Until 31 January you can get Early Bird tickets. Register now for the SIAM Conference on Uncertainty Quantification 2020!
SIAM Conference on Uncertainty Quantification 2020
UQ20 is the fifth conference in a series of successful biennial conferences initiated and sponsored by the SIAM Activity Group on Uncertainty Quantification (SIAG/UQ). With Garching it takes place for the second time outside the USA. With more than 800 talks and poster presentations from many countries we expect a new record number of participants.
Uncertainty quantification is essential for providing informative computational predictions in many branches of science and engineering. It is an interdisciplinary field built on a broad range of mathematical and statistical foundational topics, and associated algorithmic and computational developments.
UQ20 will bring together leading experts in the field uncertainty quantification from various subject areas such as (applied) mathematics, statistics, science and engineering with an interest in the theory, development, and implementation of UQ methods.
UQ20: Speakers and Topics
The invited plenary speakers will cover all the above-named areas and will provide new insights into current research directions in the area of UQ:
David M. Higdon (Virginia Polytechnic Institute and State University, USA), Frances Y. Kuo (University of New South Wales, Australia), Youssef M. Marzouk (Massachusetts Institute of Technology, USA) and Anthony Nouy (Centrale Nantes, France) are leading experts in UQ, who will set new impulses in the field of mathematical and statistical foundations of UQ with their talks.
The fast growing field of physics-informed and data-driven UQ approaches will be covered by George Em Karniadakis (Brown University, USA) and Karen Veroy-Grepl (RWTH Aachen University, Germany). On the application side, Elaine Spiller (Marquette University, USA) will demonstrate the importance of UQ in climate and environmental models and discuss new ideas and challenges in this area.