Announcing the Schedule for CDFAM NYC 2024
Leading experts in computational design at all scales
The schedule for the CDFAM NYC 2024 Computational Design Symposium is now available. This year's program gathers prominent experts from the field of computational design, exploring applications across various scales.
Opening & Closing Keynotes
The symposium will commence with an opening keynote by Jessica Rosenkrantz and Jesse Louis-Rosenberg of Nervous System, a pioneering generative design studio that operates at the confluence of science, art, and technology.
Their innovative work is featured in the permanent collections of major museums such as the Museum of Modern Art and the Cooper-Hewitt, Smithsonian Design Museum, and has been highlighted in publications like WIRED and the New York Times.
The closing keynote will be delivered by Ryan McClelland from NASA Goddard Space Flight Center, who will discuss his groundbreaking 'Text-to-Spaceship' research.
This research explores the role of AI in translating textual scientific goals into concrete aerospace mission plans, showcasing the dynamic capabilities of AI in aerospace engineering.
From Architected Materials to Architectural Structures
The CDFAM NYC 2024 program will include presentations on machine intelligence, bio-inspired design, ceramic additive manufacturing, and lattice structures, featuring research and applications from universities and industry leaders like the University of Edinburgh and Arizona State University.
The symposium will also highlight the impact of computational systems in transforming design across industries. Key speakers will include Madeleine Metawati Eggers from Kohn Pedersen Fox discussing computational methods in architectural geometry and Andrew Sartorelli from Synera on automating design processes for injection molding. Additionally, Jeremy Lechman from Sandia National Laboratories will cover physics-based modeling, and Sean Turner along with Dauphin Flores from Henderson Engineers will present on modernizing engineering design with computational tools. These sessions underscore the pivotal role of computational systems in advancing design and manufacturing practices.
Computational Customization & Data at the Centre of Design
The symposium will address the pivotal role of computational systems in enabling mass customization across sectors like healthcare, emphasizing applications in dental work, prosthetics, and performance sports devices. Presenters from LifeNabled, Glidewell Dental Laboratories, HP, Radii Devices, and Carbon will discuss the importance of computational design in scaling custom solutions and enhancing the efficiency of additive manufacturing to meet specific user needs.
The event will also focus on the central role of data in design processes, with industry leaders demonstrating innovative approaches. Jan Orend from the 3MF Consortium and EOS will showcase the new .3MF Volumetric + Implicit Extension, designed for complex, multi-material additive manufacturing. Keyan Rahimzadeh from Formulate will discuss into Procedural BIM's impact on large-scale projects, while Neel Kumar of Intact Solutions will discuss the benefits of Simulation-Driven Continuous Engineering across the product lifecycle. Bradley Rothenberg and Andrew Kappers will explore computational design challenges in developing large gas turbine engines, highlighting the collaboration between nTop and Siemens Energy.
These sessions collectively highlight how data-centric strategies are critical in advancing design and manufacturing techniques.
Multi-Objective Optimization & Early Adopters of AI
The "Multi-Objective Optimization & Early Adopters of AI" session at CDFAM NYC 2024 will feature discussions on the forefront of computational design and optimization. Alexander Lavin from Pasteur Labs will delve into how Scientific Machine Learning is transforming digital engineering environments. Parto Jahangiri from Ramboll will discuss methods to enhance knowledge flow within computational design teams. Noresh Varman and Agustin Salas from Stantec & Drexel University will explore adaptive comfort strategies in building design.
The event will also emphasize the role of AI and machine learning in design and manufacturing. Joe Griston and Laurence Cook from Generative Engineering will examine the integration of AI in high-value manufacturing processes. Dr. Guha Manogharan and Dr. Ajit Panesar from Penn State will discuss their advancements in multi-material laser powder bed fusion. Karl D.D. Willis from Autodesk will introduce BrepGen, a model that incorporates structured latent geometry for enhanced design capabilities.
These presentations will lead into the keynote by Ryan McClelland from NASA, underscoring the significant impact of AI and machine learning in various sectors.
REGISTER TO ATTEND
While the possibilities within computational design are boundless, space at CDFAM NYC 2024 is not.
We are pleased to announce the full program and will soon add a few more sessions currently under review.
We encourage early registration to ensure your attendance, as space is limited by venue capacity.
We extend our heartfelt gratitude to our sponsors, whose unwavering support has been crucial to the success of CDFAM. Without them, this event would not be possible.
If your organization is interested in supporting CDFAM, please contact CDFAM for more information on sponsorship opportunities.