Imperial College London


Faculty of Natural SciencesDepartment of Mathematics

Research Associate (Marie Skłodowska-Curie Fellowship)



+44 (0)20 7594 1424b.hamzi Website




654Huxley BuildingSouth Kensington Campus





My current research interests are the analysis of control and random dynamical systems in Reproducing Kernel Hilbert Spaces in view of developing data-based methods for the analysis and prediction of random dynamical systems and  control strategies for nonlinear systems on the basis of observed data (rather than a pre-described model). I am particularly interested in developing a qualitative theory for dynamical systems in reproducing kernel Hilbert spaces with applications to systems with critical transitions.

In general, my research interests lie at the intersection(s) of:

* Control Theory
* Deterministic Dynamical Systems
* Learning Theory/Machine Learning
* Random Dynamical Systems

with a particular emphasis on the following problems:




Hamzi B, Kuehn C, Mohamed S, 2019, A note on kernel methods for multiscale systems with critical transitions, Mathematical Methods in the Applied Sciences, Vol:42, ISSN:0170-4214, Pages:907-917

Bouvrie J, Hamzi B, 2017, KERNEL METHODS FOR THE APPROXIMATION OF NONLINEAR SYSTEMS, Siam Journal on Control and Optimization, Vol:55, ISSN:0363-0129, Pages:2460-2492

, 2015

Hamzi B, Lamb JSW, Lewis D, 2015, A Characterization of Normal Forms for Control Systems, Journal of Dynamical and Control Systems, Vol:21, ISSN:1079-2724, Pages:273-284


Bouvrie J, Hamzi B, 2012, Empirical Estimators for Stochastically Forced Nonlinear Systems: Observability, Controllability and the Invariant Measure, Proc. American Control Conference (ACC)

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