SFDUG Jan 2018 | Machine Learning and Computational Design Adoption

Описание: Educational Module: Methods of Computing Intelligence in Architecture
Join Mahmoud Abdelrahman for an introductory discussion of machine learning applied to design. He will present an introduction to machine learning algorithms with some practical demonstrations. You don’t need to be a computer scientist or even a master user for this meeting.

Featured Presentation: Building a Case for Computational Design Adoption
Join Jeremy Luebker for a discussion of the role of computation and automation in design. Learn how to make management understand how to actually implement computation in their projects and truly maximize the ROI for clients. Jeremy will explain how to create a shared understanding among staff members when adopting computational methods for the first time. Furthermore, he will discuss the importance of building a strong culture that supports computational design and how to measure implementation success.

Speakers's Bio:
Jeremy Luebker is a computational design specialist for Perkins + Will. He is currently working on an international transit project for which he is using Dynamo to create and document the free-form and complex structural elements in Revit. His expertise includes prototyping techniques, 3d printing and digital fabrication.

Mahmoud Abdelrahman works as a teaching and research assistant at the American University in Cairo. He is the creator of some Grasshopper plug-ins like Ant and Gh_CPython.