UKACM2025 School

The UKACM 2025 School will focus on Advanced Computational Methods in Engineering, including fluid mechanics, coupled multi-physics problems and data-driven methods. 

Professor Angela Busse

Angela Busse is Professor of Fluid Dynamics in the James Watt School of Engineering and is based in the Systems, Power and Energy (Mechanical Engineering) Division. Focus of her research is the investigation of problems in fluid dynamics using numerical, experimental, and analytical methods. In her scientific career to date, she has investigated a wide range of flows that occur in technical applications and in the natural environment. This includes wall-bounded turbulent flows with focus on flows over complex surfaces, such as rough and superhydrophobic surfaces, wind-plant interaction, the fundamental properties of Navier-Stokes and magnetohydrodynamic turbulence, flow past bluff bodies, flows in indoor environments, and two-phase flows. Furthermore, she pursues the development of numerical methods and models for computational fluid dynamics in the context of high-performance computing, and the development of experimental methods in interdisciplinary applications of fluid dynamics.  

Course Description 

Topic: Fluid mechanics

Dr Tim Hageman

Tim Hageman is a departmental lecturer and an 1851 research fellow in at the University of Oxford, working on developing novel finite element schemes for a wide range of multi-physics and multi-scale problems (including hydraulic fracturing processes within ice sheets, hydrogen embrittlement and failure of metals, and corrosion processes). Prior to this, he was a research associate at Imperial College London performing research related to similar topics. Tim obtained his PhD at the university of Sheffield under the supervision of prof. René de Borst, developing multi-scale models for poroelasticity. His PhD thesis has earned the UKACM 2022 Roger Owen prize for best thesis in the area of computational mechanics in the UK, and the ECCOMAS PhD award for one of the two best theses related to computational modelling in Europe. 

Course Description 

Topic: Introduction to Multiphysics-Coupling Methods

Dr Burigede Liu

Burgiede Liu is Granta Design Assistant Professor at the University of Cambridge. He received his Ph.D. in Engineering at University of Cambridge in 2019. He was a postdoc in Department of Mechanical and Process Engineering at ETH Zruch (2019) and a postdoctoral fellow in Mechanical and Civil Engineering at California Institute of Technology (2019-2021).  

Course Description 

Topic: Data-driven methods