Federico Montesino Pouzols
Marie Curie postdoctoral fellow
- Office:
- Room B313 in Computer Science Building,
Konemiehentie 2, Otaniemi, FI-02150 Espoo, Finland - Postal Address:
-
Aalto University School of Science,
Dept. of Information and Computer Science,
P.O. Box 15400, FI-00076 Aalto, Finland - Telephone:
- +358 9 470 25237
- Fax:
- +358 9 470 23369
- Email:
- firstname.lastname@aalto.fi
Moved
These pages are not updated. Since June 2011 I am with the Biodiversity Conservation Informatics Group, Center of Excellence in Metapopulation Biology, Faculty of Biological and Environmental Sciences, University of Helsinki.
Short bio
Federico Montesino Pouzols is a Marie Curie postdoctoral fellow at the Environmental and Industrial Machine Learning group of the Adaptive Informatics Research Center, Dept. of Information and Computer Science of the Aalto University School of Science and Technology (former Helsinki University of Technology). He works in the project DENOT-EM-CI, developing nonlinear tools for environmental modeling and chemoinformatics.
He earned a B.Sc. in Computer Science (Physics) in 1999, followed by an Engineering degree in Computing in 2002, both from University of Seville. He earned his M.Sc. on intelligent microelectronic systems in 2005 and his Ph.D. in 2009 with a thesis on Computational Intelligence applied to Mining and Control of Network Traffic, at CSIC and University of Seville. During 1999-2003 he worked in the telecommunications and computing industry. From 2004-2007 he was a researcher and assistant lecturer at the University of Seville. From 2008 until May 2009 he worked as a researcher at the Institute of Microelectronics of Seville, CSIC. In June 2009, he joined Helsinki University of Technology under a Marie Curie IEF postdoctoral fellowship from the European Commission.
His main research focus is on data-driven models and their applications to environmental modeling and chemoinformatics. His interests span machine learning, computational intelligence methods (with an emphasis on fuzzy logic based ones), pattern recognition, data analysis and mining, nonlinear dynamics, applications in Environmental Sciences, dimensionality reduction and computer networks.
Research
Please check the Environmental and Industrial Machine Learning (EIML) group website.
Courses
- Fall 2010: T-61.6010 - Evolving intelligent systems, methodology and applications (5 to 7 ECTS), with Mark van Heeswijk as course assistant.
- Fall 2009: T-61.6010 - Analysis of nonlinear, nonstationary data (5 to 7 ECTS), with Dusan Sovilj as course assistant.
Publications
List of publications at the EIML group.
List of publications page at the ICS Department.