B
Bradley Camburn
Researcher at Singapore University of Technology and Design
Publications - 41
Citations - 763
Bradley Camburn is an academic researcher from Singapore University of Technology and Design. The author has contributed to research in topics: Iterative design & Engineering design process. The author has an hindex of 13, co-authored 39 publications receiving 547 citations. Previous affiliations of Bradley Camburn include University of Texas at Austin & Oregon State University.
Papers
More filters
Journal ArticleDOI
Design prototyping methods: state of the art in strategies, techniques, and guidelines
Bradley Camburn,Vimal Viswanathan,Julie S. Linsey,David E. Anderson,Daniel D. Jensen,Richard H. Crawford,Kevin Otto,Kristin L. Wood +7 more
TL;DR: Prototyping is interwoven with nearly all product, service, and system development efforts as discussed by the authors and often predetermines a large portion of resource deployment in development and influences design project success.
Journal ArticleDOI
A Systematic Method for Design Prototyping
Bradley Camburn,Brock U. Dunlap,Tanmay Gurjar,Christopher Lewis Hamon,Matthew G. Green,Daniel D. Jensen,Richard H. Crawford,Kevin Otto,Kristin L. Wood +8 more
TL;DR: This method is novel in providing a systematic approach to prototyping and is correlated, through experimental investigation, with increased application of these best practices and improved design performance outcomes.
Journal ArticleDOI
Designettes: An Approach to Multidisciplinary Engineering Design Education
Cassandra Telenko,Kristin L. Wood,Kevin Otto,Mohan Rajesh Elara,Shaohui Foong,Kin Leong Pey,U-Xuan Tan,Bradley Camburn,Diana Moreno,Daniel D. Frey +9 more
TL;DR: In this paper, the designettes, defined as brief, vignette-like design challenges, provide the opportunity to integrate design learning experiences in class, across courses, across terms, and across disciplines.
Journal ArticleDOI
Machine Learning-Based Design Concept Evaluation
TL;DR: An automated method for design concept assessment that provides a possible avenue to rate design concepts deterministically and hints at bias in human design concept selection is developed and demonstrated.