Project cooperation
Please get in touch if you are interested in developing machine learning solutions for novel computational imaging and sensing applications
Author
Michael Davies
professor
The University of Edinburgh
Edinburgh, United Kingdom
Organisation from Academic Sector
I research the theory and application of self-supervised learning enabling computational imaging solutions without the need for ground truth training
My organisation
The University of Edinburgh is a public research university based in Edinburgh, Scotland. Founded by the town council under the authority of a royal charter from King James VI in 1582 and officially opened in 1583, it is one of Scotland's four ancient universities and the sixth-oldest university in continuous operation in the English-speaking world. The university played a crucial role in Edinburgh becoming a leading intellectual centre during the Scottish Enlightenment and contributed to the city being nicknamed the "Athens of the North".
The three main global university rankings (ARWU, THE, and QS) place the University of Edinburgh within their respective top 40. It is a member of several associations of research-intensive universities, including the Coimbra Group, League of European Research Universities, Russell Group, Una Europa, and Universitas 21. In the fiscal year ending 31 July 2024, the university had a total income of £1.386 billion, with £365.2 million from research grants and contracts. It has the third-largest endowment in the UK, behind only Cambridge and Oxford.The university occupies five main campuses in the city of Edinburgh, which include many buildings of historical and architectural significance, such as those in the Old Town.
About me
Mike Davies holds the Jeffrey Collins Chair in Signal and Image Processing at the University of Edinburgh where he is also Director of Research for the School of Engineering. He is a leading expert in the mathematical theory and algorithm design for computational imaging, compressed sensing, and machine learning systems. From 2013-24 he led the University Defence Research Collaboration (UDRC) a major UK research programme for signal processing in defence in collaboration with the UK Defence Science and Technology Laboratory (Dstl). With over 300 publications and over 20,000 citations, his research has been recognised through numerous keynote and invited talks, 5 ESI highly cited papers, 4 paper awards, and underpins leading commercial imaging and sensing systems. He has served on various professional committees and consulted for both UK government and industry on signal processing and AI. He has been the recipient of various awards and prizes including a Royal Society University Research Fellowship, a prestigious ERC advanced grant, and a Royal Society Wolfson Research Merit Award. He is a Fellow of IEEE, the European Society for Signal Processing (EURASIP), the Royal Society of Edinburgh, and the Royal Academy of Engineering.
The current focus of his research is on the theory and application of self-supervised machine learning for developing computational imaging solutions without the need for ground truth data.
Skills
- Machine Learning
- compressed sensing
- signal processing
- computational imaging
- low dimensional modelling
- self-supervised learning
Interests
- computational imaging
- self-supervised learning
- Machine Learning
- compressed sensing
- Information Theory
Marketplace (2)
Expertise
If you are interested in pursuing research into machine imaging at the university of Edinburgh please get in touch
- MAT - Mathematics
- ENG - Information Science and Engineering
- POSTDOCTORAL FELLOWSHIPS: Hosting Postdoctoral Candidates / Secondments / Placements
Author