
Dr. Sven Schneider
Sven is a lecturer and researcher specializing in architectural and urban design support systems. From 2016 to 2024, he served as interim professor at the Chair of Computer Science in Architecture at Bauhaus University Weimar. He is also a founding partner of DecodingSpaces GbR.
Sven studied applied computer science at TU Chemnitz and completed degrees in architecture at both TU Dresden and Bauhaus University Weimar. In 2016, he earned his PhD with a dissertation focused on automated spatial layout design from a user-oriented perspective.
His research centers on developing evaluation metrics for the built environment and generative methods that support the architectural design process. He has led and participated in multiple state-funded research projects and has published extensively on generative design and spatial analysis at both architectural and urban scales.
Research Projects:
- 2023 - 2026 BPL (Bauhaus Participation Lab)
- 2022 - 2024 Neufert 4.0
- 2021 - 2025 INUMO (Integrated Urban Mobility)
- 2020 - 2022 OpenVREVAL (Offenes Framework zur Virtual Reality basierten nutzerzentrierten Bewertung von Gebäudeentwürfen)
- 2018 - 2020 DigiWo (Digitaler Wohnbau)
- 2018 - 2020 VRDB (Virtual Reality for User Centered Train Stations)
- 2016 - 2020 IN³ (Integrated Infrastructure)
- 2014 - 2017 ILCO (Integrierte Lebenszyklusoptimierung)
- 2014 - 2018 ESUM (Analysing trade-offs between the energy and social performance of urban morphologies)
- 2012 - 2015 FOGEB (Forschergruppe Green Efficient Buildings)
- 2009 - 2011 KREMLAS (Entwicklung einer kreativen evolutionären Entwurfsmethode für Layoutprobleme in Architektur und Städtebau)
- 2009 - 2010 nuBau (Methoden und Baustoffe zur nutzerorientierten Bausanierung
Teaching:
- Design Studios on evidence based architectural design (Design by Research)
- Design Studios on Integrated Urban Development and Design (IUDD)
- Lecture Series on Computational Design Methods
- Seminars on parametric urban modeling, generative design, building information modeling and user-centered design analysis