Research

The research strategy of the professorship Computational Architecture is closely linked with the context of a framework of Cognitive Computing in Design (CCD). CCD is the basis for a new kind of intelligent digital design method that makes it possible to transform data into information and knowledge, enabling us to plan our built environment in a smarter way to make it more liveable, sustainable and resilient. At present, however, intelligent digital support for complex design processes is lacking. The development of CCD methods offers much potential for collaboration, especially with the fields of mathematics and computer science which have already played an important role in the development of the current system, which is available on the Computational Planning Group website. The description of the main research streams for CCD and how it can be combined with recent trends in smart buildings and cities, big data, and spatial simulation is outlined in my research profile.

Research Projects

DiPlanner

2017-2018 // funded by DIPLAN.

Research Team

Iuliia Osintseva, Reinhard Koenig, Martin Bielik, Sven Schneider

Abstract

The DiPlanner research project in a collaboration between the Junior-Professorship Computational Architecture and the companies DIPLAN and DeCodingSpaces.

In this project, we develop algorithms for the generation of building volumes and floorplans for the semi-automated design of residential building. On the one hand, this involves the implementation and testing of new generative algorithms for the three scale levels of building volume, residential units, apartment floor plans and, on the other hand, the exploration of procedures with regard to concrete application to practical examples. The system for prefabricated concrete elements developed by DIPLAN is also taken into account.

Demonstration Video