I am Ido Cohen. I graduated BSc MSc and PhD from the Technion. I held a faculty position in Electrical and Electronics Engineering Department in Ariel University, I held Ph.D. research fellow positions at the Faculty of Mathematics at the Technion, and the Department of Applied Mathematics and Statistics at Johns Hopkins University.
My main research interest is dynamical systems from different aspects and applications, such as image processing, data mining, control theory and more. In the last years I focused on the Theory of Koopman which I leverage for parsimonious representations in big data and dynamics.
I am particularly interested in developing theoretical and computational tools for analyzing complex systems and high-dimensional data:
