Imperial College London


Faculty of Natural SciencesDepartment of Mathematics

Research Associate



+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, Owhadi H, 2021, Learning dynamical systems from data: A simple cross-validation perspective, part I: Parametric kernel flows, Physica D: Nonlinear Phenomena, Vol:421, ISSN:0167-2789, Pages:132817-132817

Klus S, Nueske F, Hamzi B, 2020, Kernel-based approximation of the koopman generator and schrodinger operator, Entropy: International and Interdisciplinary Journal of Entropy and Information Studies, Vol:22, ISSN:1099-4300, Pages:1-22

Giesl P, Hamzi B, Rasmussen M, et al., 2020, Approximation of Lyapunov functions from noisy data, Journal of Computational Dynamics, Vol:7, ISSN:2158-2491, Pages:57-81

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