Chris Snider MEng PhD FHEA
Chris is a Lecturer in Engineering Design and Manufacture. His areas of interest include the physical / digital divide, deskilling the engineering design process, and the next generation of computational design systems.
Chris has been a member of the Design and Manufacturing Futures Lab since its inception, first as a post-doc researcher, and now as a Lecturer and Project Lead. His work areas have ranged from technical engineering design processes, to big-data analysis and real-time analytics of engineering progress and performance, computational design and interaction systems, effective global engineering management, and creativity and innovation in complex and constrained design scenarios.
This has given him expertise in how engineers can and should design in a world of ever more complex machines and systems, and how the next generation of processes and cutting-edge computational systems can enable them to produce outputs that meet the needs of the future.
He is particularly interested in how we can bridge the physical / digital divide in design, and use computation to increase capability while reducing the workload and skill requirements of engineering activities. Through his work he aims to enable engineers to work rapidly and effectively in both the digital and physical worlds, supported by cutting-edge systems that automatically analyse ideas and designs, suggest solutions, monitor progress, and perform simulations and tests, giving engineers the freedom, knowledge, and capability to explore the design space and generate innovative, high-performance outputs.
The Language of Collaborative Manufacture – Developing cutting-edge analytics for real-time, automatic monitoring of large-scale engineering processes and projects.
Digital – Physical Twinning – Creating a fully integrated digital / physical toolchain for engineering prototyping, enabling engineers to design, test, and evolve their ideas in any medium at any time.
Engineering Project Health Management: A Computational Approach for Project Management Support Through Analytics of Digital Engineering Activity
CHARACTERISING THE AFFORDANCES AND LIMITATIONS OF COMMON PROTOTYPING TECHNIQUES TO SUPPORT THE EARLY STAGES OF PRODUCT DEVELOPMENT
THE DESIGN OF VISUAL INFORMATION OBJECTS IN THREE-DIMENSIONAL VIRTUAL ENVIRONMENTS FOR ENGINEERING INFORMATION NAVIGATION
Engineering Project Health Monitoring: Application of automatic, real-time analytics to PDM systems
Mixed Reality tools as an enabler for improving Operation and Maintenance in Small and Medium Enterprises
Investigating the Evolving Knowledge Structures in New Technology Development
Identifying the influences on performance of engineering design and development projects
Design variation through richness of rules embedded in LEGO bricks
Automatic design structure matrices: A comparison of two formula student projects
- And we’re funded! Our new project on seamless physical – digital prototyping.- The DMF lab has just secured an EPSRC grant for funding! Led by Prof. Hicks, Chris Snider, and Aydin Nassehi, we've secured £1.6 million to study the creation of seamless digital / physical prototypes over the next four years starting August this year. There will be lots of new information,… Read More