Alberto Torres Barrán
Postdoctoral Researcher
Computer Science
Complutense University of Madrid
Spain
Biography
"Alberto Torres holds a degree and master degree in Computer Science from Universidad Autónoma de Madrid. He is currently pursuing a PhD in Computer Science at the same university, where he was also a teaching assistant in courses like Object Oriented Programming, Artificial Intelligence and Programming 1. He has worked as a research assistant at Instituto de Ingeniería del Conocimiento, developing machine learning algorithms for wind energy prediction. He has also teached R programming in the Msc in Big Data and Bussines Analytics program at CIFF Business School and in the Msc in Big Data program at Universidad Autónoma de Madrid. His research as a PhD student covers mostly teoretical aspects with a practical application. This work is mainly focused on studying convex optimization algorithms and developing novel techniques to speed up solving such problems. On the practical side he focuses on applying different machine learning models to the problem of predicting reneweable energies such as wind and solar power. Another topics covered in the research are sparse linear models applied to large scale data."
Research Interest
Sparse linear models applied to large scale data.
Publications
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Catalina A, Torres-Barrán A, Dorronsoro JR. Machine learning prediction of photovoltaic energy from satellite sources. InInternational Workshop on Data Analytics for Renewable Energy Integration 2016 Sep 23 (pp. 31-42). Springer, Cham.
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AlaÃz CM, Torres A, Dorronsoro JR. Sparse linear wind farm energy forecast. InInternational Conference on Artificial Neural Networks 2012 Sep 11 (pp. 557-564). Springer, Berlin, Heidelberg.
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Azegrouz H, Karemore G, Torres A, AlaÃz CM, Gonzalez AM, Nevado P, Salmerón A, Pellinen T, del Pozo MA, Dorronsoro JR, Montoya MC. Cell-based fuzzy metrics enhance high-content screening (HCS) assay robustness. Journal of biomolecular screening. 2013 Dec;18(10):1270-83.