SFDUG Jan 2018 | Machine Learning and Computational Design Adoption

On Wednesday, January 24th at 12:00 pm SFDUG for our first meetup in 2018 we would like to start in the best way as possible, so welcomes two great presentations

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.

Attending in person? Click here for the Eventbrite registration.

Attending via GoToWebinar? Click here to register for the Go to Meeting link prior to the meeting.

Food and spirits courtesy of Ideate Inc.

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