About

I work on the mechanics of turbulent flows, fluvial hydraulics processes and am also interested in developing synthetic data techniques for hypothesis testing. Representative lead-authored work in these three areas, respectively, would include: Keylock, C.J. (2025) The role of normal and non-normal contributions to enstrophy production in the near-wall region of a turbulent channel flow, Journal of Fluid Mechanics 1006 , A3, 10.1017/jfm.2024.1221; Keylock, C.J., Lane, S.N., Richards, K.S. (2014). Quadrant/octant sequencing and the role of coherent structures in bed load sediment entrainment, Journal of Geophysical Research 119, 264-286, doi: 10.1002/2012JF002698. Keylock, C. J. (2017) Multifractal surrogate-data generation algorithm that preserves pointwise Hölder regularity structure, with initial applications to turbulence, Physical Review E 95, 032123, https://doi.org/10.1103/PhysRevE.95.032123.

Career Type:

Scientist/Researcher/Academic

Organization Type:

Universities and Academia

Expertise Fields/Interests:

Turbulence; Fluvial hydraulics; Large-eddy simulation; Synthetic data;

Major Achievements:

The Tenth Fluid Dynamics Research Prize 2017, awarded by the Japanese Society for Fluid Mechanics.