After completing his undergraduate studies in Mathematics and Engineering in Paris and Hanover, Dr Onof undertook his PhD research at Imperial, and started as a lecturer in 1992. His main area of current research is in the stochastic modelling of rainfall fields for the purpose of hydrological simulation and flood design, with a particular emphasis upon fine time-scales. One particular focus of his research has been the development of downscaling tools which can be applied to assess the impact of climate change upon hydrological variables.
Dr Onof has supervised several PhD students. His teaching focuses upon Systems Engineering and Mathematical Modelling techniques. He has intitated new lecture courses in Statistics (MEng Year II), Operational Research (MEng Year IV), and Stochastic Hydrology (MSc). He has lectured in over a dozen undergraduate papers, and also taught a course in optimisation at the Ecole de Ponts Paris Tech as part of the European Athens Network.
Dr Onof is Course Director of a new MSc course in Systems Engineering and Innovation.
Dr Onof has been active in promoting student exchange programmes between Imperial and other universities in Europe, and been instrumental in setting up new exchanges with the universities of Melbourne, Hong Kong PolyU, Barcelona, Queensland, and California.
et al., 2022, Revisiting causality using stochastics: 1. theory, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol:478, ISSN:1364-5021
et al., 2022, Revisiting causality using stochastics: 2. applications, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol:478, ISSN:1364-5021
et al., 2022, Insensitivity of ecosystem productivity to predicted changes in fine‐scale rainfall variability, Journal of Geophysical Research: Biogeosciences, Vol:127, ISSN:2169-8953, Pages:1-21
Ramesh N, Rode G, Onof C, 2021, A Cox Process with State-Dependent Exponential Pulses to Model Rainfall, Water Resources Management, Vol:36, ISSN:0920-4741, Pages:297-313
Sioné L, Templeton MR, Onof C, 2022, The Challenge of Assisting Stakeholders in Data-Scarce Settings: Characterising Intermittent Water Systems Using A Citizen Science Approach, ISSN:1755-1307