Collaborative Computer Graphics Imaging for Augmented Scientific Discovery (May or may not run in 2020)



Until recently, deciphering genome architecture has been intractable due to a lack of high resolution data across multiple genomes. Data methods are currently not developed to address the industrially important data sets that are increasingly becoming available . This project aims to use new types of digital hologram rendering to allow direct, embodied interaction between face-to-face humans and their data sets though the development of new collaborative data rendering techniques. Of particular interest will be ways in which multiple people can independently navigate and analyse aspects of the data while staying grounded in their co-located physical environment.



 Investigate networked computer graphics imaging systems. Develop new multi-person rendering techniques. Demonstrate the effectiveness of new 3D rendering techniques in collaborative settings.



• Computer programming
• Computer graphics
• Computer vision
• Machine/deep learning


To apply for this project, write to before 17:00 on 5 October 2019. Include your cv and a statement of why you are suitable for this project. Your subject line must read "apply for summer projects".

Updated:  10 August 2021/Responsible Officer:  Dean, CECS/Page Contact:  CECS Marketing