The 7th International Workshop on Reliable Engineering Computing (REC) is hosted by Ruhr University Bochum, Germany. The theme of this conference is “Computing with Polymorphic Uncertain Data”. Academic institutions and industry are invited to contribute and to join in the discussions on needs and developments in the field.
Reliable Engineering Computing has emerged as a multi-disciplinary quality brand with this conference series, which has been hosted at Georgia Tech Savannah in 2004, 2006, and 2008, at the National University of Singapore in 2010, at Brno University of Technology in Brno, Czech Republic in 2012, and at Illinois Institute of Technology in Chicago in 2014. The REC-meetings provide a unique symbiosis of various engineering and associated disciplines with the kernel areas of Civil/Mechanical Engineering, Computer Science, and Mathematics. Central issue of the discussions is the reliability of engineering computations. Cross-disciplinary advisements generate synergy and impulses of a new quality for research and development, as well as for innovative applications.
REC2016 will help to bring together different uncertainty quantification strategies. The focus is on computational approaches taking polymorphic uncertain data into account. Polymorphic uncertainty modelling combines stochastic and non-stochastic approaches to quantify aleatory and epistemic uncertainties. Several simulation techniques will be discussed to compute and predict the reliability of engineering structures and systems.
As, in the previous conferences, different fields of engineering, sciences, and mathematics within the context of risk and uncertainty will be addressed. While providing solutions for real life problems represents the ultimate goal of the engineering profession, it is crucial to retain the rigor of mathematical formulations and their computational implementations to ensure safety, reliability, and more accurate predictions. For that purpose, reliable approaches are required starting with uncertainty quantification of input parameters with respect to available information, computing with uncertain data, and ending with the assessment and communication of uncertain results. The potential for research ranges over all scientific and societal issues related to reliability and computations of engineering structures and processes.
REC2016, with its unique multi-disciplinary character, provides an ideal platform to bring the various aspects together and to achieve advancements in the field of Reliable Engineering Computing and solution strategies will be discussed and examined within the framework of polymorphic uncertain data. The results of this conference will provide support for translation of Reliable Engineering Computing into general engineering practice.
We have scheduled REC2016 back-to-back with the 9th Small Workshop on Interval Methods (SWIM'2016), which will be held in Lyon, France, June 20-22, 2016.