I. de Zarzà

I. de Zarzà studied Mathematics at the Universitat de Barcelona (UB) and at the Universitat Autònoma de Barcelona (UAB), where she completed an interdisciplinary thesis with honors in the Department of Telecommunications and Systems Engineering at UAB. Prior than that, she had top nationwide university entrance examinations and a perfect grade point average in the baccalaureate. She pursued further graduate studies at City University of Hong Kong and at Carnegie Mellon. De Zarzà has been also with the Dept. of Information Technology and Electrical Engineering at ETH Zürich and the Dept. of Computer Science and Engineering at CUHK, among others. She is currently a CIMDA Researcher, a doctoral student in Computer Science at UPV in the group of Unmanned Aerial Vehicles and a master student in Data Science at UOC.

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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 De Curtò y DíAz.

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