Tags

• sketching 4
• CAD 1
• augmented-reality 1
• creativity 5
• machine learning 7
• publication 17
• JCISE 1
• talk 3
• OpenIDEO 3
• network-analysis 2
• conference 4
• JMD 8
• dissertation 1
• online-communities 1
• design-methods 2
• machine-learning 2
• HCD 3
• lab 2
• fellowship 1
• grant 7
• IDETC 5
• statistics 1
• DTM 1
• grad-school 1
• design-synthesis 1
• 3D-printing 1
• mechanisms 1
• diverse 3
• embedding 1
• Mindlin 1
• ONR 1
• award 1
• gemstone 1
• manifolds 2
• material-science 1
• sampling 2
• NSF 2
• workshop 1
• arXiv 1
• DARPA 2
• diversity 3
• openings 1
• media 2
• bisociation 1
• SAMO 1
• materials 7
• hgan 1
• unpack 1
• curve 3
• additive manufacturing 1
• novelty 1
• editorial 2
• airfoil_opt 1
• year-in-review 6
• nlp 1
• deep learning 1
• AI 1
• molecules 1
• structure 1
• measure 1
• hgan_jmd 1
• chen_dissertation 1
• matching 2
• writing 1
• FAQ 1
• online 1
• AIAA Journal 1
• beziergan_aiaaj 1
• presentation 1
• learn-to-compose 1
• ihgan_arxiv 1
• conceptual design 1
• design automation 1
• mechanism design 1
• computational design synthesis 1
• differentiable simulation 1
• potential energy surfaces 1
• artificial intelligence 5
• data-driven design 5
• design optimization 5
• generative design 3
• uncertainty modeling 1
• manifold learning 1
• inverse design 2
• summerschool 1

sketching

• TEAM Print awarded Mindlin Foundation grant for symbolic CAD research
• 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

CAD

• Conceptual Design and Modification of Freeform Surfaces using Dual Shape Representations in Augmented Reality Environments

augmented-reality

• Conceptual Design and Modification of Freeform Surfaces using Dual Shape Representations in Augmented Reality Environments

creativity

• Design creativity
• Mark awarded NSF grant for creativity measurement research
• Collaborative Design Informatics: Leveraging Data to Make Design Teams Better
• Automatically Inferring Metrics for Design Creativity
• CreativeIT Tools for Assisting and Evaluating Creativity and Problem Framing in Early-Stage Human-Centered Design

machine learning

• 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
• Deep learning for molecular design - a review of the state of the art
• Automatically Inferring Metrics for Design Creativity

publication

• Article on Bézier-GAN accepted to AIAA Journal
• 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 Active Expansion Sampling (AES) accepted to SAMO
• Article about Active Expansion Sampling available on arXiv
• Article on Discovering Novel Feasible Desgins accepted to JMD
• Article on Intrinsic Design Space Complexity accepted to JMD
• 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
• Design method recommendation article accepted to JMD
• Two articles accepted to IDETC
• Network Structure of OpenIDEO article accepted to JCISE

JCISE

• Network Structure of OpenIDEO article accepted to JCISE

talk

• Mark giving invited talk at the Machine Learning for Materials Research workshop
• Talk at Accenture Tech Labs
• Talk at GE Global Research

OpenIDEO

• 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
• Analysis of Collaborative Design Networks: A Case Study of OpenIDEO

network-analysis

• How Online Design Communities Evolve Over Time: the Birth and Growth of OpenIDEO
• Analysis of Collaborative Design Networks: A Case Study of OpenIDEO

conference

• Faez selected for HCOMP Doctoral Consortium
• Faez selected for IJCAI Student Grant
• Faez selected for Kulkarni Summer Research Fellowship
• Two articles accepted to IDETC

JMD

• Article on Hierarchical GAN accepted to JMD
• Article on Discovering Novel Feasible Desgins accepted to JMD
• Article on Intrinsic Design Space Complexity accepted to JMD
• Congratulations to Wei and Faez on Passing Their Qualifying Exams
• Article on Automated Design Methods for 3D Printable Mechanisms accepted to JMD
• Pattern Analysis of IDEO’s Human-Centered Design Methods in Developing Regions
• Article on Pattern Analysis Techniques for HCD Methods accepted to JMD
• Design method recommendation article accepted to JMD

dissertation

• Collaborative Design Informatics: Leveraging Data to Make Design Teams Better

online-communities

• Collaborative Design Informatics: Leveraging Data to Make Design Teams Better

design-methods

• Machine Learning Algorithms for Recommending Design Methods
• Collaborative Design Informatics: Leveraging Data to Make Design Teams Better

machine-learning

• Mark giving invited talk at the Machine Learning for Materials Research workshop
• Machine Learning Algorithms for Recommending Design Methods

HCD

• 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
• User Research Methods for Development Engineering: A Study of Method Usage with IDEO's HCD Connect

lab

• Prospective Student Frequently Asked Questions
• Frequently Asked Questions

fellowship

• Lab Member Ryan Elder Receives SEEDS Fellowship

grant

• Mark receives NSF CAREER Award to study new Machine Learning Algorithms for Design
• Mark receives DARPA Fundamentals of Design award to study foundations of conceptual design
• Mark awarded DARPA Young Faculty Award to study Design Manifolds
• Mark awarded NSF grant for creativity measurement research
• Mark Fuge and Peter Chung awarded ONR grant to study Machine Learning for Material Science
• TEAM Print awarded Mindlin Foundation grant for symbolic CAD research
• Lab Member Ryan Elder Receives SEEDS Fellowship

IDETC

• 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 accepted to IDETC 2016
• Article accepted to IDETC 2015

statistics

• A Scalpel not a Sword: On the Role of Statistical Tests in Design Cognition

DTM

• A Scalpel not a Sword: On the Role of Statistical Tests in Design Cognition

grad-school

• Statement of Purpose Tips

design-synthesis

• The MechProcessor: Helping Novices Design Printable Mechanisms Across Different Printers

3D-printing

• The MechProcessor: Helping Novices Design Printable Mechanisms Across Different Printers

mechanisms

• The MechProcessor: Helping Novices Design Printable Mechanisms Across Different Printers

diverse

• Diverse Weighted Bipartite b-Matching
• Discovering diverse, high quality design ideas from a large corpus
• Capturing Winning Ideas in Online Design Communities

embedding

• How Designs Differ: Non-Linear Embeddings Illuminate Intrinsic Design Complexity

Mindlin

• TEAM Print awarded Mindlin Foundation grant for symbolic CAD research

ONR

• Mark Fuge and Peter Chung awarded ONR grant to study Machine Learning for Material Science

award

• Mark receives Gemstone Mentor of the year award

gemstone

• Mark receives Gemstone Mentor of the year award

manifolds

• Video Presentation on Design Manifolds now available on YouTube
• Design Manifolds Capture the Intrinsic Complexity and Dimension of Design Spaces

material-science

• Mark giving invited talk at the Machine Learning for Materials Research workshop

sampling

• Active Expansion Sampling for Learning Feasible Domains in an Unbounded Input Space
• Beyond the Known: Detecting Novel Feasible Domains over an Unbounded Design Space

NSF

• Mark receives NSF CAREER Award to study new Machine Learning Algorithms for Design
• Mark awarded NSF grant for creativity measurement research

workshop

• Implications Of Data-driven Models For Design Theory And Methodology

arXiv

• Article about Active Expansion Sampling available on arXiv

DARPA

• Mark receives DARPA Fundamentals of Design award to study foundations of conceptual design
• Mark awarded DARPA Young Faculty Award to study Design Manifolds

diversity

• Forming Diverse Teams from Sequentially Arriving People
• Algorithms for Optimal Diverse Matching
• Ranking ideas for diversity and quality

openings

• Multiple Postdoctoral Positions Available

media

• Article on Machine Learning for Energetic Materials featured on Citrine Informatics
• IDEAL Lab Featured on IBM's Business of Government Hour

bisociation

• Creative Exploration Using Topic Based Bisociative Networks

SAMO

• Article on Active Expansion Sampling (AES) accepted to SAMO

materials

• Using Semantic Fluency Models Improves Network Reconstruction Accuracy of Tacit Engineering Knowledge
• 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
• Independent Vector Analysis for Data Fusion Prior to Molecular Property Prediction with Machine Learning
• MGGD Parameter Estimation on the Space of SPD Matrices
• Machine Learning of Energetic Material Properties
• Applying machine learning techniques to predict the properties of energetic materials

hgan

• Synthesizing Designs with Inter-part Dependencies Using Hierarchical Generative Adversarial Networks

unpack

• Unpacking subjective creativity ratings : Using embeddings to explain and measure idea novelty

curve

• Automatically Discovering Mechanical Functions from Physical Behaviors Via Clustering
• Checking the Automated Construction of Finite Element Simulations from Dirichlet Boundary Conditions
• BézierGAN: Automatic Generation of Smooth Curves from Interpretable Low-Dimensional Parameters

additive manufacturing

• Thermal Design and Testing of a Passive Helmet Heat Exchanger With Additively Manufactured Components

novelty

• Interpreting Idea Maps: Pairwise comparisons reveal what makes ideas novel

editorial

• Machine Learning for Engineering Design
• Design creativity

airfoil_opt

• Aerodynamic Design Optimization and Shape Exploration using Generative Adversarial Networks

year-in-review

• Year in Review: 2023
• Year in Review: 2022
• Year in Review: 2021
• Year in Review: 2020
• Year in Review: 2019
• Year in Review: 2018

nlp

• Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora

deep learning

• Deep learning for molecular design - a review of the state of the art

AI

• Deep learning for molecular design - a review of the state of the art

molecules

• Deep learning for molecular design - a review of the state of the art

structure

• Structuring Online Dyads: Explanations Improve Creativity, Chats Lead to Convergence

measure

• Measuring and Optimizing Design Variety using Herfindahl Index

hgan_jmd

• Synthesizing Designs with Inter-part Dependencies Using Hierarchical Generative Adversarial Networks

chen_dissertation

• Data-Driven Geometric Design Space Exploration and Design Synthesis

matching

• Forming Diverse Teams from Sequentially Arriving People
• Algorithms for Optimal Diverse Matching

writing

• Scientific Writing: A Self-Study Guide

FAQ

• Prospective Student Frequently Asked Questions

online

• Forming Diverse Teams from Sequentially Arriving People

AIAA Journal

• Article on Bézier-GAN accepted to AIAA Journal

beziergan_aiaaj

• Airfoil Design Parameterization and Optimization using Bézier Generative Adversarial Networks

presentation

• Video Presentation on Design Manifolds now available on YouTube

learn-to-compose

• Learning to Abstract and Compose Mechanical Device Function and Behavior

ihgan_arxiv

• IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures

conceptual design

• Potential Energy Surfaces for Analysis and Conceptual Design and Analysis of Mechanical Systems

design automation

• Potential Energy Surfaces for Analysis and Conceptual Design and Analysis of Mechanical Systems

mechanism design

• Potential Energy Surfaces for Analysis and Conceptual Design and Analysis of Mechanical Systems

computational design synthesis

• Potential Energy Surfaces for Analysis and Conceptual Design and Analysis of Mechanical Systems

differentiable simulation

• Potential Energy Surfaces for Analysis and Conceptual Design and Analysis of Mechanical Systems

potential energy surfaces

• Potential Energy Surfaces for Analysis and Conceptual Design and Analysis of Mechanical Systems

artificial intelligence

• 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

data-driven design

• 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

design optimization

• 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

generative design

• 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
• Inverse Design of 2D Airfoils using Conditional Generative Models and Surrogate Log-Likelihoods

uncertainty modeling

• Inverse Design of 2D Airfoils using Conditional Generative Models and Surrogate Log-Likelihoods

manifold learning

• Learning Airfoil Manifolds with Optimal Transport

inverse design

• 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

summerschool

• Frontiers in Design Representation Summer School 2022