Artificial Intelligence and Data Integration

Research Area

ICD and its Chair for Computing in Architecture investigate applications of artificial intelligence (AI) for architecture, engineering, and construction, often in collaboration with researchers at the Max Planck Institute for Intelligent Systems and in Cybervalley. In optimization, we investigate and improve the performance of (multi-objective) optimization algorithms. In machine learning (ML), we investigate the use of ML in interactive design tools and visualizations, for example to predict the behavior of material systems. In symbolic AI, we investigate the integration of Knowledge Graphs and AI Planning into multi-disciplinary co-design workflows.

Related Research Projects

Computerbasierte Methoden und KI für die Planung klimaneutraler Gebäude

Modular Data Architecture for Preparation, Annotation and Exchange for Conceptual Design

Data Processing and AI for Predictive and Adaptive Co-Design

Task and Motion Planning for Collaborative Robotic Construction with Irregular Materials

Knowledge Representation for Multi-Disciplinary Co-Design

Innovative AI-based Sustainable Timber Construction Process Planning

Related Research Tools

Opossum

Selected Publications

  1. 2023

    1. Sherkat, S., Garmaroodi, A. A., Wortmann, A., & Wortmann, T. (2023). Residential complex design as a Constraint Satisfaction Problem. Automation in Construction, 154, 104995. https://doi.org/10.1016/j.autcon.2023.104995

  2. 2022

    1. Davidová, M., Fischer, L. K., & Teye, M. (2022). POL– AI: Leveraging Urban EcoSystem. In B. Sweeting (Ed.), Relating Systems Thinking and Design (RSD11) 2022 Symposium (pp. 1–11). Systemic Design Association.
    2. Skoury, L., Amtsberg, F., Yang, X., Wagner, H. J., Menges, A., & Wortmann, T. (2022). A Framework for Managing Data in Multi-actor Fabrication Processes (C. Gengnagel, O. Baverel, G. Betti, M. Popescu, M. R. Thomsen, & J. Wurm, Eds.).
    3. Akbar, Z., Wood, D., Kiesewetter, L., Menges, A., & Wortmann, T. (2022). A Data-Driven Workflow for Modelling Self-Shaping Wood Bilayer, Utilizing Natural Material Variations with Machine Vision and Machine Learning. In J. van Ameijde, N. Gardner, K. H. Hyun, L. Dan, & U. Sheth (Eds.), CAADRIA proceedings: Vol. Volume 1 (pp. 393–402). CAADRIA. https://doi.org/10.52842/conf.caadria.2022.1.393
    4. Elshani, D., Wortmann, T., & Staab, S. (2022, May). Towards Better Co-Design with Disciplinary Ontologies: Review and Evaluation of Data Interoperability in the AEC Industry. In Proceedings of LDAC2022 - 10th Linked Data in Architecture and Construction Workshop. LDAC2022 - 10th Linked Data in Architecture and Construction Workshop, Hersonissos, Greece.
    5. Elshani, D., Lombardi, A., Fisher, A., Staab, S., Hernández, D., & Wortmann, T. (2022, May). Knowledge Graphs for Multidisciplinary Co-Design: Introducing RDF to BHoM. In Proceedings of LDAC2022 - 10th Linked Data in Architecture and Construction Workshop. LDAC2022 - 10th Linked Data in Architecture and Construction Workshop, Hersonissos, Greece.
    6. Zorn, M., Catunda, N., Claus, L., Kobylinska, N., Frey, M., & Wortmann, T. (2022). Replacing energy simulations with surrogate models for design space exploration. Bauphysik, 44(6), Article 6. https://doi.org/10.1002/bapi.202200034
    7. Sherkat, Shermin., Wortmann, Andreas., & Wortmann, Thomas. (2022). Potentials of Symbolic AI Planning for Construction. Forumbauinformatik. https://www.researchgate.net/publication/363481115_Potentials_of_Symbolic_AI_Planning_for_Construction
    8. Elshani, D., Lombardi, A., Fisher, A., Staab, S., Hernández, D., & Wortmann, T. (2022, September). Inferential Reasoning in Co-Design Using Semantic Web Standards alongside BHoM. Proceedings of 33. Forum Bauinformatik. https://doi.org/10.14459/2022md1686600
    9. Zorn, M., Catunda, N., Claus, L., Kobylinska, N., Frey, M., & Wortmann, T. (2022, September 22). Replacing Time-Consuming Building Performance Simulations with Real-Time Surrogate Models and their Application in Early-Stage Design Space Exploration. Proceedings of BauSim Conference 2022. BauSIM 2022, Bauhaus-Universität Weimar. https://publications.ibpsa.org/conference/?id=bausim2022
    10. Wortmann, T., Cichocka, J., & Waibel, C. (2022). Simulation-based Optimization in Architecture and Building Engineering—Results from an International User Survey in Practice and Research. Energy and Buildings, 259, Article 259. https://doi.org/10.1016/j.enbuild.2022.111863

  3. 2021

    1. Natanian, J., & Wortmann, T. (2021). Simplified evaluation metrics for generative energy-driven urban design: A morphological study of residential blocks in Tel Aviv. Energy and Buildings, 240, 110916. https://linkinghub.elsevier.com/retrieve/pii/S0378778821002000
    2. Wortmann, T., & Natanian, J. (2021). Optimizing solar access and density in Tel Aviv: Benchmarking multi-objective optimization algorithms. Journal of Physics: Conference Series, 2042(1), Article 1. https://doi.org/10.1088/1742-6596/2042/1/012066
    3. Natanian, J., Luca, F. D., Wortmann, T., & Capeluto, G. (2021). The Solar Block Generator: an additive parametric method for solar driven urban block design. Journal of Physics: Conference Series, 2042(1), Article 1. https://doi.org/10.1088/1742-6596/2042/1/012049
    4. Petrov, M., & Wortmann, T. (2021, April). Latent fitness landscapes - Exploring performance within the latent space of post-optimization results. Proceedings of the Symposium on Simulation for Architecture & Urban Design.
    5. Waibel, C., Zhang, R., & Wortmann, T. (2021, April). Physics Meets Machine Learning: Coupling FFD with Regression Models for Wind Pressure Prediction on High-Rise Facades. Proceedings of the Symposium on Simulation for Architecture & Urban Design.

Contact Information

This image shows Thomas Wortmann

Thomas Wortmann

Ph.D.,Dipl.-Ing., M.Sc.

Tenure Track Professor | Architectural Computing

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