Announcing Schedule for CDFAM NYC 2024
the CDFAM NYC 2024 Computational Design symposium Schedule is now Available.
The (almost) complete program for the CDFAM NYC 2024 Computational Design symposium is now available, featuring leading experts from computational design at all scales.
Opening & Closing Keynotes
The NYC program will open with a keynote presentation by Jessica Rosenkrantz and Jesse Louis-Rosenberg of the leading generative design studio Nervous System that works at the intersection of science, art, and technology. Their work is a part of the permanent collection of museums including the Museum of Modern Art, the Cooper-Hewitt, Smithsonian Design Museum, and the Museum of Fine Arts, Boston and been featured in a wide range of publications, including WIRED, the New York Times, the Guardian, Metropolis, and Forbes
Ryan McClelland from NASA Goddard Space Flight Center will be giving the closing keynote on his latest research into the adoption of AI for aerospace engineering with the ‘Text-to-Spaceship’ concept at NASA Goddard, focusing on the pivotal role of AI in transforming text-based science objectives into mission designs.
From Architected Materials to Architectural Structures
The program will feature presentations on the intersection of machine intelligence, bio-inspired design, ceramic additive manufacturing, and lattice structures. Speakers from the University of Edinburgh, Arizona State University, SUPSI, Metafold 3D, and General Lattice will share their latest research and applications, highlighting both advancements and challenges in computational design and manufacturing.
The event will also address the transformative role of computational systems in design, showcasing how these methods are revolutionizing various industries. Madeleine Metawati Eggers from Kohn Pedersen Fox will explore foundational computational methods in architectural geometry. Andrew Sartorelli from Synera will demonstrate process automation for injection molded part design, enhancing workflow efficiency. Jeremy Lechman of Sandia National Laboratories will discuss physics-based modeling for optimized design and manufacturing processes while Sean Turner and Dauphin Flores from Henderson Engineers will highlight their efforts in modernizing engineering design processes through computational tools. These presentations collectively highlight the critical impact of computational systems in the built environement.
Computational Customization & Data at the Centre of Design
The role of computational systems in enabling mass customization, particularly in applications like dental work, prosthetics and performance sports devices will be discussed by presenters from LifeNabled, Glidewell Dental Laboratories, HP and Radii Devices, and Carbon, on how computational design is essential for scaling custom solutions in healthcare and beyond. They will explore various aspects of the design and manufacturing process, emphasizing the broad applicability and efficiency of additive manufacturing in meeting specific user needs.
We will also explore the central role of data in design processes, featuring groundbreaking approaches from various industry leaders.
Jan Orend from 3MF will introduce the .3MF Volumetric + Implicit Extension, emphasizing its utility for complex, multi-material applications in additive manufacturing. Keyan Rahimzadeh from Formulate will discuss Procedural BIM and its application in large-scale projects, illustrating how metadata-driven design enhances manufacturing workflows. Neel Kumar of Intact Solutions will present on Simulation-Driven Continuous Engineering, highlighting the integration of advanced simulations throughout the product lifecycle to foster innovation. Additionally, Bradley Rothenberg and Andrew Kappers will address computational design challenges in large gas turbine engines, showcasing collaborative efforts between nTop and Siemens Energy.
Together, these presentations underscore how data-centric approaches are shaping the future of design and manufacturing.
Multi-Objective Optimization & Early Adopters of AI
This session on Multi-Objective Optimization will feature presentations that spotlight the advancement of computational design and optimization.
Alexander Lavin from Pasteur Labs & ISI will discuss the role of Scientific Machine Learning in enhancing digital engineering environments. Parto Jahangiri from Ramboll will highlight strategies for improving knowledge flow between computational design teams and their projects. Noresh Varman and Agustin Salas from Stantec & Drexel University will present on adaptive comfort strategies in building design, focusing on tailored solutions.
The final session of the event will focus on the integration of AI and machine learning in manufacturing and design. Joe Griston and Laurence Cook from Generative Engineering will discuss the synergy between AI advancements and high-value manufacturing. At Penn State, Dr. Guha Manogharan and Dr. Ajit Panesar will showcase their work in optimizing multi-material laser powder bed fusion development. Karl D.D. Willis from Autodesk will present on BrepGen, a model that leverages structured latent geometry for design innovation.
These sessions set the stage for the keynote by Ryan McClelland from NASA, highlighting the transformative impact of AI and machine learning across various industries.
Computational Space in Infinite, Space at CDFAM is Limited
We are excited to share the full program and will be announcing a few more that are currently going through review and approval process but we encourage you to register early to secure your spot at the event as space is limited by venue capacity.
Massive thanks to our sponsors who have supported CDFAM from the very beginning, without their generous support the event would not be possible.
Contact us if your organization would like to also help support CDFAM.
2024 Supporting Sponsors
