M
Matthew I. Campbell
Researcher at Oregon State University
Publications - 139
Citations - 2625
Matthew I. Campbell is an academic researcher from Oregon State University. The author has contributed to research in topics: Conceptual design & Graph (abstract data type). The author has an hindex of 26, co-authored 136 publications receiving 2441 citations. Previous affiliations of Matthew I. Campbell include University of Texas at Austin & University of Auckland.
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Journal ArticleDOI
Computer-Based Design Synthesis Research: An Overview
Amaresh Chakrabarti,Kristina Shea,Robert Stone,Jonathan Cagan,Matthew I. Campbell,Noe Vargas Hernandez,Kristin L. Wood +6 more
TL;DR: Advances in function-based, grammar- based, and analogy-based synthesis approaches and their contributions to computational design synthesis research in the last decade are reviewed.
Journal ArticleDOI
A-Design: An Agent-Based Approach to Conceptual Design in a Dynamic Environment
TL;DR: The theory of A-Design is introduced along with some simple test problems to demonstrate the capabilities of different aspects of the theory, and is shown as the basis for a design tool that adaptively creates electro-mechanical configuration designs for changing user preferences.
Journal ArticleDOI
A Framework for Computational Design Synthesis: Model and Applications
TL;DR: A model of the automated synthesis process is provided as a context to discuss research in the area and some guidelines are presented to help researchers and designers find approaches to solving their particular design problems using computational design synthesis.
Proceedings ArticleDOI
A Computational Technique for Concept Generation
TL;DR: An automated concept generation tool that utilizes the repository of existing design knowledge to generate and evaluate conceptual design variants and produce numerous feasible concepts early in the design process.
Journal ArticleDOI
Automated synthesis of electromechanical design configurations from empirical analysis of function to form mapping
TL;DR: A methodology is developed that extracts design knowledge from an expanding online library of engineering artefacts in the form of grammar rules and demonstrates a computational process that builds new design configurations by borrowing concepts from how common functions are solved in related designs.