The School of Computer Science and Electronic Engineering announced one final, fully funded, PhD scholarship in the centre for Artificial Intelligence, Machine Learning and Advanced Computing (CDT-AIMLAC, http://cdt-aimlac.org/).
This project aims to explore the integration of metaheuristics and Machine Learning, alongside other AI methodologies, to semi-automate the 3D modelling of building structures. The research will encompass automatic geometry reconstruction, semantic segmentation, and eventually generating BIM models. It is worth noting that one of the main sources in BIM is geometry. Furthermore, point clouds acquired through LiDAR surveys can be massive, reaching terabytes in size. To handle and process such data volumes effectively, the use of Supercomputing Wales is imperative for this research.
Building Information Modelling (BIM) is a widely used methodology for obtaining comprehensive knowledge about the current state of buildings, centralizing digital data related to their structure, including detailed geometry. On the other hand, 3D point clouds, often obtained from LiDAR, have become a standard method for recording and surveying building structures, especially heritage monuments. These point clouds provide a continuous representation of the geometry of built environments and objects. However, generating 3D models from 3D point clouds poses challenges due to irregularities in the cross-sections of surfaces and the complex geometries of the structures, among other reasons. The process can be subjective, time-consuming, and error-prone when performed manually.
Dr Mosab Bazargani (project and PhD supervisor) went on to say
The potential real-world applications of this work are diverse and impactful. These include preserving heritage monuments, visualisation, conducting structural tests, performing heating analysis, mapping the locations of WIFI access points, and virtual reality, among others. The project aims to provide innovative solutions to streamline these processes and enable practical applications across various domains.
Funding will cover the full cost of tuition fees and an annual stipend of approximately £15,900, plus additional funding is available for research expenses. This exciting opportunity is available for UK students.
Artificial Intelligence is poised to revolutionize our lives. This scholarship represents an exciting opportunity for an individual to receive comprehensive training in AI, Machine Learning, and Advanced Computing, and become part of our energetic research community.
Professor Jonathan Roberts (Bangor lead in the AIMLAC project) went on to say:
Our university research across data analysis, visualization, virtual reality, deep learning, and natural language processing, which are applied to a wide array of environmental, scientific, and social datasets. With access to Supercomputing Wales and the chance to join a dynamic team, students can envision themselves as future leaders in AI, Data, and Computing. Are you ready to embrace this path and shape the future of technology?
To apply, please go to the postgraduate scholarship page and select "Application".