CRAIDL is born as the result of a growing interest in AI in our research at the CodeLab. From 2018, we have been focused on AI at different fields, including natural language, reinforcement learning, deep learning and multimodal machine learning.
Veloso, Pedro, Jinmo Rhee, Ardavan Bidgoli, and Manuel Ladron de Guevara. 2022. “Bubble2Floor: A Pedagogical Experience with Deep Learning for Floor Plan Generation.” In POST-CARBON – Proceedings of the 27th CAADRIA Conference, edited by Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, and Urvi Sheth, 373–82. Sydney: CUMINCAD. http://papers.cumincad.org/cgi-bin/works/paper/caadria2022_90.
Veloso, Pedro, and Ramesh Krishnamurti. (2021). “Self-Learning Agents for Spatial Synthesis.” In Proceedings of the 5th International Symposium on Formal Methods in Architecture (5FMA), edited by Sara Eloy, David L. Viana, Franklim Morais, and Jorge V. Vaz. Springer.
Ladron de Guevara, M., George, C., Gupta, A., Byrne, D., & Krishnamurti, R. (2020). “Multimodal Word Sense Disambiguation in Creative Practice”. In IEEE International Conference on Machine Learning and Applications (ICMLA). https://arxiv.org/abs/2007.07758
Bidgoli, A., Ladron De Guevara, M., Hsiung C., Oh J., and Kang E. (2020). “Artistic Style in Robotic Painting; a Machine Learning Approach to Learning Brushstroke from Human Artists.” In Proceedings of the 29th International Conference on Robot and Human Interactive Communication (RO-MAN). Naples.
Rhee, J., Veloso, P., Krishnamurti, R. (2020). “Integrating Building Footprint Prediction and Building Massing”. In Proceedings of the 25th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) 2020, Volume 2, 669-678.
Veloso, P., Krishnamurti, R. (2020). “An academy of Spatial Agents”. In Proceedings of the eCAADe 38 Conference, Volume 2.
Veloso, P., Rhee, J., Krishnamurti, R. (2019). “Multi-Agent Space Planning: A Literature Review (2008-2017).” In Hello, Culture!: Proceedings of 18th CAAD Futures Conference, edited by Ji-Hyun Lee, 52–74. Daejeon, Korea. http://papers.cumincad.org/cgi-bin/works/paper/cf2019_009.
Veloso, P., Krishnamurti, R. (2019). “From Black Box to Generative System.” In BLACK BOX: Articulating Architecture’s Core in the Post-Digital Era. Pittsburgh: ACSA. https://www.researchgate.net/publication/333089518_From_Black_Box_to_generative_System.
Bidgoli, A., Kang, E., Cardoso Llach, D. (2019). “Machinic Surrogates: Human-Machine Relationships in Computational Creativity”. In Proceedings of the 25th International Symposium on Electronic Art, 153-9. Gwangju, South Korea. http://www.isea-archives.org/docs/2019/ISEA2019_Proceedings.pdf.
Rhee, Jinmo, Daniel Cardoso Llach, and Ramesh Krishnamurti. (2019). “Context-Rich Urban Analysis Using Machine Learning – A Case Study in Pittsburgh, PA.” In Architecture in the Age of the 4th Industrial Revolution, 3:343–52. University of Porto, Porto, Portugal: Architecture in the Age of the 4th Industrial Revolution – Proceedings of the 37th eCAADe and 23rd SIGraDi Conference. http://papers.cumincad.org/cgi-bin/works/paper/ecaadesigradi2019_550.
Rhee, J., and Chung, J.,(2019). “A Study of Automation of Housing Design Method Using Artificial Intelligence,” in Annual Conference in Architectural Institute of Korea, vol. 39, 2 (Annual Conference in Architectural Institute of Korea, Daejeon, Korea: Architectural Institute of Korea, 2019), 181–84., best paper awarded
Bidgoli, A., and Veloso, A., (2018). “DeepCloud. The Application of a Data-Driven, Generative Model in Design.” In Recalibration: On Imprecision and Infidelity. Proceedings of the 38th ACADIA Conference, edited by Phillip Anzalone, Marcella Del Signore, and Andrew J. Wit, 176–85. Mexico City: Universidad Iberoamericana. http://papers.cumincad.org/cgi-bin/works/paper/acadia18_176.