I am an Associate Professor of electrical engineering at the Technion — Israel Institute of Technology, Haifa, Israel. I received the B.A. degree (cum laude) in mathematics and computer science from the Open University in 2005, and the Ph.D. degree in electrical engineering from the Technion in 2011.
My research interests lie at the intersection of signal processing, data analysis, and machine learning. In particular, I develop methods for high dimensional data and signal analysis with diffusion operators, making use of recent transformative results in manifold and geometry learning. I find exciting that the development of unsupervised nonlinear data analysis techniques facilitates the transition from data observations to creating representations, without deriving models in closed-form. In our work, we shift the focus from processing the data samples themselves and consider instead structured data through the lens of operators. This approach introduces new powerful “handles” to data, capturing their complexity efficiently. In our research group, we study the basic theory behind this nonlinear analysis, develop new operators for this purpose, and devise efficient data-driven algorithms.
Our recent contributions involve intrinsic representations, sensor fusion, dynamical systems analysis, and transports on manifolds. In addition, we explore how our approach can be leveraged for devising efficient solutions to a broad range of open real-world data analysis problems, including problems in neuroscience, medicine, bioinformatics, as well as in audio and acoustics.