The Chair of Intelligent Technical Design is concerned with the application of modern information and communication technology (ICT) during the design, the construction and the operation of civil infrastructure, such as buildings, bridges, tunnels, road and pipe networks. In this regard, we use methods of Building Information Modelling (BIM), Computer Vision and Machine Learning as well as Virtual and Augmented Reality to efficiently and sustainably inform decision makers.
"Intelligent Technical Design refers to a design approach that utilizes advanced technologies, such as artificial intelligence and machine learning, to optimize the design process and improve the performance, efficiency, and sustainability of building and infrastructure systems. It integrates data-driven insights, real-time performance monitoring, and machine learning algorithms into the design process to make informed decisions, automate manual processes, and reduce the risk of human error. The goal of Intelligent Technical Design is to create high-performing, sustainable, and efficient building and infrastructure systems." [ChatGPT, 2023]
Contribution at the 29th EG-ICE International Workshop on Intelligent Computing in Engineering
At this year's conference of the European Group for Intelligent Computing in Engineering, Mathias Artus was invited to introduce the first session and present new results from current research.
Mathias Artus was invited to give the first presentation at this year's EG-ICE workshop, as he won the Best Paper Award at EG-ICE 2021 together with Mohamed Alabassy. Additionally, results from current research in corporation with MFPA Weimar were presented at this workshop. The paper can be found at https://doi.org/10.7146/aul.455.c221.
