CDFAM 23

Presentation Archive

Archive of presentations in video and audio format from CDFAM Computational Design (+DfAM) Symposium, June 14-15 2023 held at Newlab in Brooklyn NYC by Bits to Atoms.

All videos will also be available on CDFAM YouTube and as audio via your podcast app of choice via the CDFAM Podcast RSS feed.

Keynote Presentations

Video


Onur Yüce Gün – Opening Keynote – Design Computation Human

Podcasts


Onur Yüce Gün – Opening Keynote – Design Computation Human
Ronald Rael – Keynote – Mud y Robots

Ronald Rael – Keynote – Mud y Robots

Prof. neil Gershenfeld – Closing Keynote – roadmap to replicators

Prof. neil Gershenfeld – Closing Keynote – roadmap to replicators

Presentations

Day One

Computational Disruption: Design Engines & Additive’s Untapped Potential – Nathan Shirley – HP

Computational Disruption: Design Engines & Additive’s Untapped Potential – Nathan Shirley – HP

Scaling & Standardizing Patient Specific Design – Adam Wentworth – Mayo Clinic 

Scaling & Standardizing Patient Specific Design – Adam Wentworth – Mayo Clinic 

Enable Mass Customization through Design Automation – Thomas D’Huyvetter – Twikit 

Enable Mass Customization through Design Automation – Thomas D’Huyvetter – Twikit 

Computational Design Ops – Ronnie Parsons – Mode Lab

Computational Design Ops – Ronnie Parsons – Mode Lab 

Overcoming the Design Dilemma – Ryan Carter – JHAPL

Overcoming the Design Dilemma – Ryan Carter – JHAPL 

Ryan McClelland – NASA – Generative Design & Digital Manufacturing at NASA Goddard

Ryan McClelland – NASA – Generative Design & Digital Manufacturing at NASA Goddard 

Software Presentations
André A.R. Wilmes – Rafinex – Generate-to-Validate: Optimal Designs and the Need to Deliver Under Uncertainty

André A.R. Wilmes – Rafinex – Generate-to-Validate: Optimal Designs and the Need to Deliver Under Uncertainty

Nina Korshunova – Hyperganic: Physics-Driven Generative Design: The Future of Engineering

Nina Korshunova – Hyperganic: Physics-Driven Generative Design: The Future of Engineering

Marek Moffett – General Lattice – Digital Materials – Geometry and Data Combined

Marek Moffett – General Lattice – Digital Materials – Geometry and Data Combined

Daniel Hambleton – Metafold – Geometry Streaming: Hardware-First Software for Digital Manufacturing

Daniel Hambleton – Metafold – Geometry Streaming: Hardware-First Software for Digital Manufacturing

Hardik Kabaria – Carbon – Defining Performance not Just Geometry with Software, Process + Material Science

Hardik Kabaria – Carbon – Defining Performance not Just Geometry with Software, Process + Material Science

Justin Hattendorf – nTop – Field Optimization A Modular Design Tool for Advanced Manufacturing

Justin Hattendorf – nTop – Field Optimization A Modular Design Tool for Advanced Manufacturing

Kirill Volchek – OQTON – Hybrid DfAM: From Topology to Toolpath & Production to Performance

Kirill Volchek – OQTON – Hybrid DfAM: From Topology to Toolpath & Production to Performance

Day Two

Educating the Human in the Loop
Mark Burhop – Siemens – Reinventing the Wheel – Representing & Manufacturing Geometry with a Program

Mark Burhop – Siemens – Reinventing the Wheel – Representing & Manufacturing Geometry with a Program 

Prof. John Hart – MIT – Ten Years Teaching Additive

Prof. John Hart – MIT – Ten Years Teaching Additive 

Prof. Tim W. Simpson – Penn State – 10 Years of Applying DFAM

Prof. Tim W. Simpson – Penn State – 10 Years of Applying DFAM

Chelsea Cummings – The Barnes Global Advisors – MfAM Walks so DfAM Can Run!

Chelsea Cummings – The Barnes Global Advisors – MfAM Walks so DfAM Can Run!

Natalie Alima – Biolab + Adidas – Interspecies Forms: Robotic Feedback Systems, Mycelia Growth & Computational Form

Natalie Alima – Biolab + Adidas – Interspecies Forms: Robotic Feedback Systems, Mycelia Growth & Computational Form 

Matt Shomper – Not a Robot – Computational Mapping of Biomimetic Structures

Matt Shomper – Not a Robot – Computational Mapping of Biomimetic Structures

Daniele Panozzo – NYU – Robust Geometry Processing for Physical Simulation and Shape Optimization

Daniele Panozzo – NYU – Robust Geometry Processing for Physical Simulation and Shape Optimization

AI, Data + Design
Wes John-Alder – Citrine Informatics – Informatics and AI for Materials Development 

Wes John-Alder – Citrine Informatics – Informatics and AI for Materials Development 

Behrooz Jalalahmadi – Sentient Science – DigitalClone for Additive Manufacturing

Behrooz Jalalahmadi – Sentient Science – DigitalClone for Additive Manufacturing

ALEX ROSCHLI – ORNL – Designing Material Properties with Advanced Toolpath Generation

ALEX ROSCHLI – ORNL – Designing Material Properties with Advanced Toolpath Generation

Rhushik Matroja – CDS – Design Automation Using Machine Learning & Computational Design

Rhushik Matroja – CDS – Design Automation Using Machine Learning & Computational Design

Mike Grau – Synera – Connect Everything, Engineer Anything

Mike Grau – Synera – Connect Everything, Engineer Anything

Francis Bitonti – Lexset AI – From Simulation to Reality: The Evolution of Computer Vision Training with Synthetic Data

Francis Bitonti – Lexset AI – From Simulation to Reality: The Evolution of Computer Vision Training with Synthetic Data

Learning to Generate Shapes – Karl DD Willis – Autodesk AI Lab

Learning to Generate Shapes – Karl DD Willis – Autodesk AI Lab

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