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The Computational Design Institute is a 501(c)(3) non-profit in the Silicon Valley for Digital Humanities. Started in 2016 as a user-group and finally incorportated in 2020 for research and development. 

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Computational Design Institute Program for Pediatric Palliative Care.

Based on the HOK open-source project Mission Control that uses Revit API to export information and displays them in a web-based dashboard with Angular JS. I developed an aggregate query for MongoDB, and I used Keras and Tensorflow to run multivariate time series analysis.

Blog started in 2017 for approaching architecture with a Statistical Framework capable to combine Geometric Deep Learning techniques and algorithms into the Architecture Practice.  

Today's AEC software require a learning curve to generate a three-dimension building representation. This limits the ability to quickly validate the volumetric implications of an initial design idea communicated via a single sketch. Allowing designers to translate a single sketch to a 3D building will enable owners to instantly visualize 3D project information without the cognitive load required. If previous state-of-the-art (SOTA) data-driven methods for single view reconstruction (SVR) showed outstanding results in the reconstruction process from a single image or sketch, they lacked specific applications, analysis, and experiments in the AEC. Therefore, this research addresses this gap, introducing the first deep learning method focused only on buildings that aim to convert a single sketch to a 3D building mesh: Vitruvio. Vitruvio adapts Occupancy Network for SVR tasks on a specific building dataset (Manhattan 1K). This adaptation brings two main improvements. First, it accelerates the inference process by more than 26% (from 0.5s to 0.37s). Second, it increases the reconstruction accuracy (measured by the Chamfer Distance) by 18%. During this adaptation in the AEC domain, we evaluate the effect of the building orientation in the learning procedure since it constitutes an important design factor. While aligning all the buildings to a canonical pose improved the overall quantitative metrics, it did not capture fine-grain details in more complex building shapes (as shown in our qualitative analysis). Finally, Vitruvio outputs a 3D-printable building mesh with arbitrary topology and genus from a single perspective sketch, providing a step forward to allow owners and designers to communicate 3D information via a 2D, effective, intuitive, and universal communication medium: the sketch.