Overview Research Education Projects Media Contact
Pirouz is a generative design technologist and theorist who is actively researching the utilization of simulation-driven complexity sciences (generative sciences), digital twinning, and mathematical modelling to contribute to sustainable urban development. He is developing mathematical, computational, and gamified methods for augmented urban planning, urban design, and participatory housing development.
Expertise Computer Science Algorithms Data Model Programs Social Media Social Sciences Analysis Planning Process Approach Organisations Participatory Design, Planning Support Systems, Design Support Systems, Computational Design, Generative Design
Publications Urban digital twin-based solution using geospatial information for solid waste management (2024) Sustainable Cities and Society, 115 . Article 105798. Cárdenas-León, I., Koeva, M., Nourian, P. & Davey, C.https://doi.org/10.1016/j.scs.2024.105798 Voxel graph operators: Topological voxelization, graph generation, and derivation of discrete differential operators from voxel complexes (2024) Advances in engineering software, 196 . Article 103722. Nourian, P. & Azadi, S.https://doi.org/10.1016/j.advengsoft.2024.103722 Real-Time Visibility Assessment in an Interactive Immersive Virtual Reality Application for Urban Public Space Design (2024) In Real-Time Visibility Assessment in an Interactive Immersive Virtual Reality Application for Urban Public Space Design . Dane, G., Campoverde, C., Nourian, P. & Koeva, M. N. Planning Support System Development for analysing environmental performance of form-based design decisions: Case Study of Enschede (2024) In Planning Support System Development for analysing environmental performance of form-based design decisions: Case Study of Enschede (pp. 137-144) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). Copernicus. Tripathy, A., Koeva, M. N., Cárdenas-León, I. & Nourian, P. https://doi.org/10.5194/isprs-archives-XLVIII-4-W11-2024-137-2024 Voxel Graph Operators (2024) [Dataset Types › Dataset]. Zenodo. Azadi, S. & Nourian, P. https://doi.org/10.5281/zenodo.10801894 Solid Waste in the Virtual World: A Digital Twinning Approach for Waste Collection Planning (2024) In Recent Advances in 3D Geoinformation Science - Proceedings of the 18th 3D GeoInfo Conference (pp. 61-74) (Lecture Notes in Geoinformation and Cartography). Springer. Cárdenas, I., Koeva, M., Davey, C. & Nourian, P. https://doi.org/10.1007/978-3-031-43699-4_4 A LiDAR-based digital twinning workflow for traffic monitoring and simulation (2024) ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-4-2024 , 411-418. Wibisana, M. I., Koeva, M., Nourian, P. , Petrova-Antonova, D. & Karamitov, K.https://doi.org/10.5194/isprs-annals-X-4-2024-411-2024 Open-Source solutions for real-time 3D geospatial web integration (2024) In ISPRS TC IV Mid-term Symposium “Spatial Information to Empower the Metaverse” (pp. 289-295) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. La Guardia, M., Koeva, M., Díaz-Vilariño, L. & Nourian, P. https://doi.org/10.5194/isprs-archives-XLVIII-4-2024-289-2024 Real-Time Visibility Assessment in an Interactive Immersive Virtual Reality Application for Urban Public Space Design (2024) International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-4-2024 , 139-145. Dane, G., Campoverde, C., Nourian, P. & Koeva, M.https://doi.org/10.5194/isprs-archives-XLVIII-4-2024-139-2024 Screening the stones of Venice: Mapping social perceptions of cultural significance through graph-based semi-supervised classification (2023) ISPRS journal of photogrammetry and remote sensing, 203 , 135-164. Bai, N., Nourian, P. , Luo, R., Cheng, T. & Pereira Roders, A.https://doi.org/10.1016/j.isprsjprs.2023.07.018 Research profiles Pirouz teaches a few specific subjects in Area Development and 3D Geospatial Digital Twinning next to providing general guidance in geospatial analysis case studies and MSc thesis projects.
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