Dr. De Zarzà y Cubero

I. de Zarzà is a researcher at the Centre for Intelligent Multidimensional Data Analysis (CIMDA) in HK Science Park. She is also with Universitat Politècnica de València (UPV) and Universitat Oberta de Catalunya (UOC). De Zarzà has been with the Dept. of Information Technology and Electrical Engineering at ETH Zürich, the Dept. of Electrical Engineering at City University of Hong Kong and the Dept. of Computer Science and Engineering at CUHK, among others. She obtained her master studies (with Distinction) at City University of Hong Kong and at Carnegie Mellon. She studied Mathematics at the Universitat de Barcelona (UB) and at the Universitat Autònoma de Barcelona (UAB).

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My research interests span a wide range of topics related to computer vision and statistical learning. That said, I enjoy both theoretical work and practical applications. Currently, in pursuit of an analytical characterization of abstract reasoning. The ultimate goal is to build conscious systems that evolve and learn with time as we humans do.

A Library for Fast Kernel Expansions with Applications to Computer Vision and Deep Learning.
Carnegie Mellon. Pittsburgh. 2014.

Master of Science.
City University of Hong Kong. Carnegie Mellon.

Physical-layer Network Coding: Design of Constellations over Rings.
Universitat Autònoma de Barcelona. Cerdanyola del Vallès (Barcelona). 2013.
slides / secure network coding

Degree in Mathematics.
Universitat Autònoma de Barcelona. Universitat de Barcelona.


DE ZARZÀ Y CUBERO Irene. Happily married to Dr. De Curtò y DíAz.

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