News Archive

UQLab v1.4.0 now available

01 February 2021

UQLab Modules Rel 1.4 is released. The new release includes the new active learning reliability (ALR) module, a modular framework to easily build custom active learning solution schemes and the high-performance computing (HPC) dispatcher module, a user-friendly interface to connect UQLab to HPC resources.

UQLab 3000th user

9 September 2020

Abdulrauf Khetrish, a master's student in Civil and Environmental Engineering at the University of Sharjah (United Arab Emirates) is the 3,000th registered user of UQLab since the first public release in July 2015.
Abdulrauf will use UQLab during his course on Applied Engineering Statistics to do uncertainty and reliability analysis, and plans to further use it in his master thesis.
​Virtually on the same day, we got the 500th registration from the USA, and the 300th one from France. China, with 370 registered users completes this top trio of countries.

UQLab 2500th user

14 January 2020

Maxime Fays, a master’s student in Modelling, Scientific Computing and Image Analysis at the Université Grenoble Alpes (France), is the 2500th user of UQLab since the first public release in July 2015. Maxime currently uses UQLab as a support to a course related to rare event simulation. As a future PhD student in computational biomechanics applied to biomedical stents, he considers using UQLab’s comprehensive surrogate modelling modules.

UQLab v1.3.0 now available

19 September 2019

UQLab Modules Rel 1.3 is released. The new release includes a new reliability-based design optimization (RBDO) module, statistical inference module, and an overhauled Input module, now with much more advanced dependence modeling.

UQLab 2000th user

6 June 2019

Prof. Wouter Huberts (Maastricht University Medical Center, The Netherlands) registered as UQLab’s 2000th user since the first public release in July 2015. Prof. Huberts and his team plan to develop and apply physics-based patient-specific models to support clinical diagnosis and intervention planning. They will more specifically use the sensitivity analysis and Bayesian calibration modules of UQLab.