I. de Zarzà y Cubero

I. de Zarzà is with GOETHE-Universität Frankfurt am Main. 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 MSc in Multimedia Information Technology (with Distinction) at City University of Hong Kong and did her master thesis at Carnegie Mellon. She studied Mathematics at Universitat Autònoma de Barcelona (UAB) and Universitat de Barcelona (UB).

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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.

MS in Multimedia Information Technology.
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

Bachelor's degree in Mathematics.
Universitat Autònoma de Barcelona. Universitat de Barcelona.


DE ZARZÀ I CUBERO Irene. Happily married to De Curtò i Díaz.

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