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• papers 57
• paper 56
• news 36
• team 29
• blog 10
• misc 2
• home 1
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papers

• Effect of Optimal Geometries and Performance Parameters on Airfoil Latent Space Dimension
• Mean Squared Error may lead you astray when Optimizing your Inverse Design methods
• IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures
• Learning Airfoil Manifolds with Optimal Transport
• Inverse Design of 2D Airfoils using Conditional Generative Models and Surrogate Log-Likelihoods
• Potential Energy Surfaces for Analysis and Conceptual Design and Analysis of Mechanical Systems
• Automatically Discovering Mechanical Functions from Physical Behaviors Via Clustering
• IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures
• Learning to Abstract and Compose Mechanical Device Function and Behavior
• Airfoil Design Parameterization and Optimization using Bézier Generative Adversarial Networks
• Forming Diverse Teams from Sequentially Arriving People
• Machine Learning for Engineering Design
• Algorithms for Optimal Diverse Matching
• Using Semantic Fluency Models Improves Network Reconstruction Accuracy of Tacit Engineering Knowledge
• Data-Driven Geometric Design Space Exploration and Design Synthesis
• Synthesizing Designs with Inter-part Dependencies Using Hierarchical Generative Adversarial Networks
• Measuring and Optimizing Design Variety using Herfindahl Index
• Checking the Automated Construction of Finite Element Simulations from Dirichlet Boundary Conditions
• Structuring Online Dyads: Explanations Improve Creativity, Chats Lead to Convergence
• Deep learning for molecular design - a review of the state of the art
• Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora
• Aerodynamic Design Optimization and Shape Exploration using Generative Adversarial Networks
• Design creativity
• Independent Vector Analysis for Data Fusion Prior to Molecular Property Prediction with Machine Learning
• Interpreting Idea Maps: Pairwise comparisons reveal what makes ideas novel
• Thermal Design and Testing of a Passive Helmet Heat Exchanger With Additively Manufactured Components
• MGGD Parameter Estimation on the Space of SPD Matrices
• BézierGAN: Automatic Generation of Smooth Curves from Interpretable Low-Dimensional Parameters
• Machine Learning of Energetic Material Properties
• Unpacking subjective creativity ratings : Using embeddings to explain and measure idea novelty
• Synthesizing Designs with Inter-part Dependencies Using Hierarchical Generative Adversarial Networks
• Applying machine learning techniques to predict the properties of energetic materials
• Active Expansion Sampling for Learning Feasible Domains in an Unbounded Input Space
• Creative Exploration Using Topic Based Bisociative Networks
• Ranking ideas for diversity and quality
• Diverse Weighted Bipartite b-Matching
• Implications Of Data-driven Models For Design Theory And Methodology
• Beyond the Known: Detecting Novel Feasible Domains over an Unbounded Design Space
• Design Manifolds Capture the Intrinsic Complexity and Dimension of Design Spaces
• Discovering diverse, high quality design ideas from a large corpus
• How Designs Differ: Non-Linear Embeddings Illuminate Intrinsic Design Complexity
• Capturing Winning Ideas in Online Design Communities
• The MechProcessor: Helping Novices Design Printable Mechanisms Across Different Printers
• A Scalpel not a Sword: On the Role of Statistical Tests in Design Cognition
• Pattern Analysis of IDEO’s Human-Centered Design Methods in Developing Regions
• Examining Design for Development Online: A Qualitative Analysis of OpenIDEO using HCD/UCD Metrics
• How Online Design Communities Evolve Over Time: the Birth and Growth of OpenIDEO
• User Research Methods for Development Engineering: A Study of Method Usage with IDEO's HCD Connect
• Machine Learning Algorithms for Recommending Design Methods
• Collaborative Design Informatics: Leveraging Data to Make Design Teams Better
• Analysis of Collaborative Design Networks: A Case Study of OpenIDEO
• Automatically Inferring Metrics for Design Creativity
• ImpactMap: Designing Sustainable Supply Chains by Incorporating Data Uncertainty
• CreativeIT Tools for Assisting and Evaluating Creativity and Problem Framing in Early-Stage Human-Centered Design
• Conceptual Design and Modification of Freeform Surfaces using Dual Shape Representations in Augmented Reality Environments
• Engineering Sketch Recognition: Findings from Recent Bio-Inspired and Cognitive Studies at VDEL
• A Testing Method and Cognitive Model of Human Diagram Understanding for Automating Design Sketch Recognition

paper

• Effect of Optimal Geometries and Performance Parameters on Airfoil Latent Space Dimension
• Mean Squared Error may lead you astray when Optimizing your Inverse Design methods
• IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures
• Learning Airfoil Manifolds with Optimal Transport
• Inverse Design of 2D Airfoils using Conditional Generative Models and Surrogate Log-Likelihoods
• Potential Energy Surfaces for Analysis and Conceptual Design and Analysis of Mechanical Systems
• Automatically Discovering Mechanical Functions from Physical Behaviors Via Clustering
• IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures
• Learning to Abstract and Compose Mechanical Device Function and Behavior
• Airfoil Design Parameterization and Optimization using Bézier Generative Adversarial Networks
• Forming Diverse Teams from Sequentially Arriving People
• Machine Learning for Engineering Design
• Algorithms for Optimal Diverse Matching
• Using Semantic Fluency Models Improves Network Reconstruction Accuracy of Tacit Engineering Knowledge
• Synthesizing Designs with Inter-part Dependencies Using Hierarchical Generative Adversarial Networks
• Measuring and Optimizing Design Variety using Herfindahl Index
• Checking the Automated Construction of Finite Element Simulations from Dirichlet Boundary Conditions
• Structuring Online Dyads: Explanations Improve Creativity, Chats Lead to Convergence
• Deep learning for molecular design - a review of the state of the art
• Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora
• Aerodynamic Design Optimization and Shape Exploration using Generative Adversarial Networks
• Design creativity
• Independent Vector Analysis for Data Fusion Prior to Molecular Property Prediction with Machine Learning
• Interpreting Idea Maps: Pairwise comparisons reveal what makes ideas novel
• Thermal Design and Testing of a Passive Helmet Heat Exchanger With Additively Manufactured Components
• MGGD Parameter Estimation on the Space of SPD Matrices
• BézierGAN: Automatic Generation of Smooth Curves from Interpretable Low-Dimensional Parameters
• Machine Learning of Energetic Material Properties
• Unpacking subjective creativity ratings : Using embeddings to explain and measure idea novelty
• Synthesizing Designs with Inter-part Dependencies Using Hierarchical Generative Adversarial Networks
• Applying machine learning techniques to predict the properties of energetic materials
• Active Expansion Sampling for Learning Feasible Domains in an Unbounded Input Space
• Creative Exploration Using Topic Based Bisociative Networks
• Ranking ideas for diversity and quality
• Diverse Weighted Bipartite b-Matching
• Implications Of Data-driven Models For Design Theory And Methodology
• Beyond the Known: Detecting Novel Feasible Domains over an Unbounded Design Space
• Design Manifolds Capture the Intrinsic Complexity and Dimension of Design Spaces
• Discovering diverse, high quality design ideas from a large corpus
• How Designs Differ: Non-Linear Embeddings Illuminate Intrinsic Design Complexity
• Capturing Winning Ideas in Online Design Communities
• The MechProcessor: Helping Novices Design Printable Mechanisms Across Different Printers
• A Scalpel not a Sword: On the Role of Statistical Tests in Design Cognition
• Pattern Analysis of IDEO’s Human-Centered Design Methods in Developing Regions
• Examining Design for Development Online: A Qualitative Analysis of OpenIDEO using HCD/UCD Metrics
• How Online Design Communities Evolve Over Time: the Birth and Growth of OpenIDEO
• User Research Methods for Development Engineering: A Study of Method Usage with IDEO's HCD Connect
• Machine Learning Algorithms for Recommending Design Methods
• Collaborative Design Informatics: Leveraging Data to Make Design Teams Better
• Analysis of Collaborative Design Networks: A Case Study of OpenIDEO
• Automatically Inferring Metrics for Design Creativity
• ImpactMap: Designing Sustainable Supply Chains by Incorporating Data Uncertainty
• CreativeIT Tools for Assisting and Evaluating Creativity and Problem Framing in Early-Stage Human-Centered Design
• Conceptual Design and Modification of Freeform Surfaces using Dual Shape Representations in Augmented Reality Environments
• Engineering Sketch Recognition: Findings from Recent Bio-Inspired and Cognitive Studies at VDEL
• A Testing Method and Cognitive Model of Human Diagram Understanding for Automating Design Sketch Recognition

news

• Frontiers in Design Representation Summer School 2022
• Video Presentation on Design Manifolds now available on YouTube
• Article on Bézier-GAN accepted to AIAA Journal
• Mark receives NSF CAREER Award to study new Machine Learning Algorithms for Design
• Article on Hierarchical GAN accepted to JMD
• Article on Type-Checking in FEM from Dirichlet Boundary Conditions accepted to IDETC 2019
• Article on unpacking subjective creativity ratings accepted to IDETC 2018
• Article on Hierarchical GANs accepted to IDETC 2018
• Article on Machine Learning for Energetic Materials featured on Citrine Informatics
• Article on Active Expansion Sampling (AES) accepted to SAMO
• IDEAL Lab Featured on IBM's Business of Government Hour
• Mark receives DARPA Fundamentals of Design award to study foundations of conceptual design
• Multiple Postdoctoral Positions Available
• Mark awarded DARPA Young Faculty Award to study Design Manifolds
• Faez selected for HCOMP Doctoral Consortium
• Article about Active Expansion Sampling available on arXiv
• Mark awarded NSF grant for creativity measurement research
• Faez selected for IJCAI Student Grant
• Mark giving invited talk at the Machine Learning for Materials Research workshop
• Article on Discovering Novel Feasible Desgins accepted to JMD
• Mark receives Gemstone Mentor of the year award
• Faez selected for Kulkarni Summer Research Fellowship
• Mark Fuge and Peter Chung awarded ONR grant to study Machine Learning for Material Science
• Article on Intrinsic Design Space Complexity accepted to JMD
• TEAM Print awarded Mindlin Foundation grant for symbolic CAD research
• Article accepted to IDETC 2016
• Congratulations to Wei and Faez on Passing Their Qualifying Exams
• Article on Automated Design Methods for 3D Printable Mechanisms accepted to JMD
• Article accepted to IDETC 2015
• Article on Pattern Analysis Techniques for HCD Methods accepted to JMD
• Lab Member Ryan Elder Receives SEEDS Fellowship
• Talk at Accenture Tech Labs
• Design method recommendation article accepted to JMD
• Two articles accepted to IDETC
• Talk at GE Global Research
• Network Structure of OpenIDEO article accepted to JCISE

team

• Xavier Francois
• Nathaniel Hoffman
• Milad Habibi
• Alec Van Slooten
• Arthur Drake
• Seyede Fatemeh Ghoreishi
• Xiaolong Liu
• Jun Wang
• Rachel Hess
• Kevin Chiu
• Zois Boukouvalas
• Rachael Sexton
• Daniel Elton
• Henrique Lima Brasiliero
• Kailyn Cage
• Faez Ahmed
• Lev David
• Noa Chazen
• Gregory Laboe
• Fernanda Jimenez Capetillo
• Wei Chen
• Nayman Leung
• Javier Fernandez Artime
• Stephen Blumenthal
• Faith Chung
• Jessica Cornelius
• Greg Carmean
• Ryan Elder
• Mark Fuge

blog

• Year in Review: 2023
• Year in Review: 2022
• Year in Review: 2021
• Year in Review: 2020
• Year in Review: 2019
• Prospective Student Frequently Asked Questions
• Scientific Writing: A Self-Study Guide
• Year in Review: 2018
• Statement of Purpose Tips
• Frequently Asked Questions

misc

• The IDEAL Lab
• About

home

• The IDEAL Lab

phdthesis

• Data-Driven Geometric Design Space Exploration and Design Synthesis