CDFAM Computational Design Symposium

Form Follows Force: Data-Responsive Stochastic Algorithms For Additive Footwear

CDFAM Computational Design Symposium — Tokyo 2026 David Burpee · MorphXgen Many Additive footwear platforms promise a level of customization beyond traditional footwear

Sub-Optimal: Designer-Built Tools for Additive Manufacturing

CDFAM Computational Design Symposium — Tokyo 2026 Sarat Babu · SARAT Computational design approaches to optimization are often constrained by the tools available and th

Introducing AURA, A Reasoning Engine for Design Exploration and Synthesis by Braid

CDFAM Computational Design Symposium — Tokyo 2026 This episode is the opening keynote from CDFAM Tokyo 2026, presented by Guido Cossu and Ivo Timóteo of Braid. Braid wa

The Era of Living Machines: How Biology Will Build the Next Generation of Building Materials

CDFAM Computational Design Symposium — DC 2026 Giorgia Cannici · Virginia Tech What if material fabrication could shift from assembly to growth—and be directed with pre

From Horns to Armor: Biomimicry, Computational Design, and the Future of Impact Protection

CDFAM Computational Design Symposium — DC 2026 Matthew Shomper · Not a Robot Engineering Nature has been solving the problem of impact protection for millennia, in orde

Before the Model: Aurora as AI-Grounded Climate Intelligence for Early-Stage Design

CDFAM Computational Design Symposium — DC 2026 Damola Michael; Elliot Glassman · CannonDesign The environmental design conversation typically begins too late, after mas

Bridging the CAD-to-Simulation Gap: Integrating Meshing-free Isogeometric Analysis into Industrial Workflows

CDFAM Computational Design Symposium — DC 2026 Matthew Sederberg · Coreform The traditional “design-to-analysis” loop is often bottlenecked by the laborious process of

AI-Native, Simulation-Driven Insight with End-to-End Traceability

CDFAM Computational Design Symposium — DC 2026 Mike Park · Flexcompute Computational design enables wider configuration exploration and reduces time to market, but turn

Optimal Lattice Selection for PCM Thermal Management

CDFAM Computational Design Symposium — DC 2026 Andreas Vlahinos · Advanced Engineering Solutions PCMs provide cooling without requiring an extra power source, unlike fa

Git for Hardware: Version Control as the Foundation for Agile Systems Engineering

CDFAM Computational Design Symposium — DC 2026 Steve Massey · SysGit Software development was transformed when version control became infrastructure rather than afterth

Artificial Intuition: Building an AI Mind for Electromagnetic Design and Engineering

CDFAM Computational Design Symposium — Washington DC 2026 Michael Frei · ARENA Physica Most advances in computational design focus on mechanical structure — domains we

AI-Enabled Assembly Configuration Spaces: Encoding Mechanical Intuition at the Design-Manufacturing Interface

CDFAM Computational Design Symposium — Washington DC 2026 Sai Nelaturi · C-Infinity The gap between digital design and physical assembly is not primarily a geometry pro

Physics AI as a Strategic Advantage: How Physics-based AI Models Are Reshaping U.S. Defense Engineering

CDFAM Computational Design Symposium — Washington DC 2026 Juan Alonso · Luminary The next decade of great-power competition will be won or lost in the engineering loop.

From Text to Robotic Assembly: 3D Generative AI and Discrete Robotic Assembly for Making Physical Objects

CDFAM Computational Design Symposium — Washington DC 2026 Alexander Htet Kyaw · MIT Recent advances in 3D generative AI make it possible to create object geometries dir

Computational Design in Aerostructures: Topology Optimization for Conceptual Design and Trade Studies

CDFAM Computational Design Symposium — Washington DC 2026 Brandon DeMille · General Atomics Aeronautical Systems Computational design methodologies, including topology

From Requirements to Manufacturable Systems: Agentic AI on a Live Engineering Knowledge Graph

CDFAM Computational Design Symposium — Washington DC 2026 Chris Helmerich · Celedon Solutions Most ‘AI for engineering’ tools today sit beside the design process with a

Fast and Robust Design with Implicit Functions and Direct Simulation

CDFAM Computational Design Symposium — Washington DC 2026 Jan Vandenbrande · nTop Current Computer Aided Design systems excel in static detailed design but are too frag

Solving Aerodynamics Problems With Quantum Computers

CDFAM Computational Design Symposium — Washington DC 2026 William Steadman · Quanscient We present the results of the largest CFD simulations to date deployed on IBM an

The Digital Thread In The Real World: Multiple Partners, Multiple Tools, One Truth

CDFAM Computational Design Symposium — Washington DC 2026 Austin Herrema · Istari Digital As the Department of Defense accelerates adoption of digital engineering and a

When Failure Is Not an Option: Bringing Certifiable AI to Engineering Design

CDFAM Computational Design Symposium — Washington DC 2026 Rhushik Matroja · Cognitive Design Systems Artificial intelligence is poised to automate a large share of desi