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Pirouz Nourian is an Assistant Professor at the University of Twente specializing in computational mathematics and generative systems technology. He actively conducts research in simulation-driven complexity sciences, digital twinning, computational architectural design, and urban planning. His work aims to contribute to sustainable urban development, addressing complex decision-making questions involving ambiguous trade-offs. Nourian develops innovative mathematical and computational methods for augmented spatial planning, computational urban design, and participatory housing, as seen in his publications on design-build games and open-source participatory construction. He focuses on R&D in Spatial Planning Support Systems (SPSS) and Spatial Decision Support Systems (SDSS), often exploring themes of multi-criteria decision problems and spatial optimization related to urban networks. His expertise spans Earth and Planetary Sciences, Urban Development, Computer Science, and Digital Twin methodology, with a history of engaging in significant funded projects and academic collaborations.
Includes specializations in Financial Engineering & Management, Healthcare Technology & Management, and Production & Logistics Management.