Email: james.gopsill@bristol.ac.uk
About James
James is a Research Fellow at the Unviersity of Bristol.
Publications
- Automatic feature recognition from imperfect models using a novel workflow of data surrogation
- Secure by design: exploring a minimal Web3.0 trust network to provide de-centralised secure, private, and provenance preserving design and manufacture workflows
- Designing digital twins: a graph-based schema to enable systematic cost-benefit analysis
- Understanding designers’ experiences with generative AI through user interaction pattern analysis
- A design tool to support the specification of mixed reality prototypes
- Design for AM: the impact of the shell feature on the residual stress in directed energy deposition components
- Inventory of design, engineering and analysis tool environments (IDEATE)
- Comparing gate and annealing-based quantum computing for configuration-based design tasks
For more publications, please visit
https://www.bristol.ac.uk/people/person/James-Gopsill-12895b7e-3fc2-47da-b9ab-aa0982a84cb3/