Editorial 2015 edition of the Workshop of European Group for Intelligent Computing in Engineering (EG-ICE) Jakob Beetz a,⇑ , Timo Hartmann b a Eindhoven University of Technology, Eindhoven, The Netherlands b Technical University Berlin, Berlin, Germany article info Article history: Available online xxxx Keywords: Precipitation forecast Pattern recognition Topology optimization Structural design Knowledge-based scheduling Point clouds HDF5 Building Information Modelling abstract In this Special Issue, four extended versions of selected contributions of the 2015 edition of the Workshop of European Group for Intelligent Computing in Engineering (EG-ICE) are presented. The selected papers span a variety of topics ranging from machine learning applications to weather forecast for potentially hazardous conditions affecting the built environment, topological optimization of Finite Element simula- tions of structural building components, the recognition of process patterns in construction schedules to the intelligent compression and efficient storage of large point cloud data sets. In their thematic hetero- geneity, they are representative for the coverage of the annual workshops. Ó 2017 Published by Elsevier Ltd. 1. Introduction The European Group for Intelligent Computing in Engineering, EG-ICE is an interdisciplinary research community focussing to promote research and applications of advanced informatics to all aspects of engineering. The group’s primary goals are ‘‘to promote advanced informatics research across Europe by improving contact between researchers, fostering research collaboration and enhanc- ing awareness of the latest developments. With this latter aim in mind, the group maintains active contact with similar groups in countries outside Europe and encourages membership by non- Europeans”. As a main means to achieve these goals, an annual single-track workshop is organized that was held for the 22nd time at the Tech- nical University of Eindhoven between July 13th and 15th in 2015. The 21 papers selected from 27 initial submissions where presented to 41 participants from 12 countries. The single-track presentations sessions where organized into thematic groups including ‘‘BIM applications and analysis”, ‘‘BIM and scheduling”, ‘‘As-Built BIM”, ‘‘Energy and Building Physics” and ‘‘Sensor Data and Infrastructure”. The workshop was co-jointly organized by the Eindhoven University of Technology, the University of Twente as well as the Dutch Institute for Applied Sciences TNO. This special issue, compiles four significantly extended and elaborated papers that were presented at the workshop, archiving important contributions to the field of intelligent computing that were presented at the workshop in Eindhoven. The papers under- went an independent rigorous reviewing process and are a great display of the work of the EG-ICE group. The selected contributions address current challenges in advanced engineering informatics. To this end, they draw on recent advances in the broader field of com- puter science, such as novel approaches for machine learning that can include multiple sources with varying levels of uncertainty [1] known as ensemble prediction systems (EPS), advanced topology optimization methods [2] for potential use in CAD/CAM applica- tions of engineers, approaches for the detection of micro-patterns through semi-automated decomposition of graph based process schedules[3], or the integration of massive and ill structured geo- metric data [4] in semantic Information Models for establishing training data sets for machine learning based automated geometric feature detection. 2. Brief summaries of the submissions 2.1. Doycheva et al. In [1], the authors introduce a novel machine learning approach to enhance the reliability of ensemble prediction systems (EPS) to forecast floods in river banks. Using historical data sets of the flooding event of the Mulde river in Germany in 2013 as a http://dx.doi.org/10.1016/j.aei.2017.05.004 1474-0346/Ó 2017 Published by Elsevier Ltd. ⇑ Corresponding author. E-mail address: J.Beetz@tue.nl (J. Beetz). Advanced Engineering Informatics xxx (2017) xxx–xxx Contents lists available at ScienceDirect Advanced Engineering Informatics journal homepage: www.elsevier.com/locate/aei Please cite this article in press as: J. Beetz, T. Hartmann, 2015 edition of the Workshop of European Group for Intelligent Computing in Engineering (EG- ICE), Adv. Eng. Informat. (2017), http://dx.doi.org/10.1016/j.aei.2017.05.004