Summary
I am a Professor in the department of Earth Science and Engineering at Imperial College London (ICL), UK. I am also head of the Applied Computation and Modelling Group (AMCG), which is the largest department research group at ICL and comprises of about 70 research active scientists. AMCG specialises in the development and application of innovative and world leading modelling techniques for earth, engineering and biomedical sciences. The group has core research interests in numerical methods for ocean, atmosphere and climate systems, engineering fluids including multiphase flows, neutral particle radiation transport, coupled fluids-solids modelling with discrete element methods, turbulence modelling, inversion methods, imaging, and impact cratering. I was honoured by Imperial College London by winning its Research Excellence Award in 2010, in recognition my world-leading research.
As of 2017, I have authored over 200 journal publications (which have so far received over 5000 citations), 2 book chapters, 1 patent, graduated 45 PhD students and completed 40 industry and research council grants.
Career Highlights and Awards (as of 2017)
- Published 200 journal papers, 2 book chapters, 1 patent, and 2 published reports.
- Graduated 45 PhD students.
- Rector’s Award for Research Excellence 2010 – only one awarded at Imperial annually.
- Rector’s Award for Research 2004.
- Attracted more than 40 industry, research council and European grants.
- Attracted over £23M in research funding over the last 10 years.
- Chair and organiser of a number of conferences e.g. Ocean Modelling, Transport Theory and the Japanese Todai Forum 2010.
Publications
Journals
Phillips T, Heaney C, Chen B, et al., 2023, Solving the discretised neutron diffusion equations using neural networks, International Journal for Numerical Methods in Engineering, Vol:124, ISSN:0029-5981, Pages:4659-4686
Wu X, Gan P, Li J, et al., 2023, A long short-term memory neural network-based error estimator for three-dimensional dynamically adaptive mesh generation, Physics of Fluids, Vol:35, ISSN:1070-6631
Woodward H, Schroeder A, de Nazelle A, et al., 2023, Do we need high temporal resolution modelling of exposure in urban areas? A test case, Science of the Total Environment, Vol:885, ISSN:0048-9697, Pages:163711-163711
Dargaville S, Smedley-Stevenson RP, Smith PN, et al., 2023, Angular Adaptivity in P<SUP>0</SUP> Space and Reduced Tolerance Solves for Boltzmann Transport, Nuclear Science and Engineering, ISSN:0029-5639
Cheng M, Fang F, Navon IM, et al., 2023, Assessing uncertainty and heterogeneity in machine learning-based spatiotemporal ozone prediction in Beijing-Tianjin- Hebei region in China, Science of the Total Environment, Vol:881, ISSN:0048-9697, Pages:1-13