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EPSRC Support by Research Area (Artificial Intelligence Technologies) in Theme (Mathematical Sciences)

Research areas are used to describe EPSRC's portfolio of excellent long term research and high quality postgraduate training.

Grants are classified using one or more research areas. The number and value of grants listed below reflects how the theme portfolio is described by this research area.

Please note: some research areas will appear under multiple themes. There is no unique, absolute, relationship between a research area and a theme.

Grant TitlePrincipal
Investigator		OrganisationDepartmentTotal Grant
Value (£)
deeP redUced oRder predIctive Fluid dYnamics model (PURIFY)Xiao, Dr DSwansea UniversityCollege of Engineering 315,689
Keep LearningHart, Professor EEdinburgh Napier UniversitySchool of Computing 388,219
Keep LearningMiguel, Professor IJUniversity of St AndrewsComputer Science 378,027
Mathematical models and algorithms for allocating scarce airport resources (OR-MASTER)Zografos, Professor KLancaster UniversityManagement Science 2,262,469
The Mathematics of Deep LearningBudd, Professor CUniversity of BathMathematical Sciences 3,357,501
Turing AI Fellowship: Probabilistic Algorithms for Scalable and Computable Approaches to Learning (PASCAL)Nemeth, Dr CJLancaster UniversityMathematics and Statistics 1,097,295
Turing AI Fellowship: Rigorous time-complexity analysis of co-evolutionary algorithmsLehre, Dr PUniversity of BirminghamSchool of Computer Science 1,241,935

Total Number of Grants: 7
Total Value of Grants: £9,041,135

The grant value may include the cost of access to facilities (these funds are not awarded to the grant holding organisation).