Keywords
Skills
Good knowledge of the following programs:
Windows 9x, DOS, Unix, Linux, MAC OS X e Shell scripting
Office
Microsoft Publisher, Adobe Photoshop CS2
Microsoft Acces, MYSQL
Internet Explorer, Firefox, Safari
Macromedia Dreamweaver 8, Macromedia Fireworks 8
Arcgis, Arcmap, ArcView, Hydra, ENVI, ERDAS ER Mapper, BEAM, Geonetwork, GI-cat, GI-go, Joomla, Wordpress, R
LATEX.
Good knowledge of the following programming languages:
Matlab, IDL
Fortran 77, C++
HTML, XHTML, CSS, PHP, SQL, Java, Javascript, Jquery.
Formation and work experiences:
May 2014 - May 2015
Research fellow at the Department of Computer Science - University of Bari \"A. Moro\" entitled: \"Methods based on the recognition
emotions, for the design of adaptive multimodal interaction in virtual environments\"; Head of Research: Prof. Fabio Abbattista.
February 2011 - December 2013
PhD in Computer Science at the Department of Informatics, University of Bari \"A. Moro\" with the theme of the application of mathematical techniques to the field of recommender systems. Tutor: Dr. Gemmis de Marco.
July 2005
Degree in Mathematics, degree from the Faculty of Science MATHEMATICS, PHYSICS AND NATURAL University of Bari with a score of 102/110.
Thesis in Approximation Methods entitled \"Numerical solution of the equation of Richard for the motion of a fluid in the subsoil.\" Supervisors: prof. Luciano Lopez and dr. Filippo Notarnicola ( IAC CNR-Bari).
Windows 9x, DOS, Unix, Linux, MAC OS X e Shell scripting
Office
Microsoft Publisher, Adobe Photoshop CS2
Microsoft Acces, MYSQL
Internet Explorer, Firefox, Safari
Macromedia Dreamweaver 8, Macromedia Fireworks 8
Arcgis, Arcmap, ArcView, Hydra, ENVI, ERDAS ER Mapper, BEAM, Geonetwork, GI-cat, GI-go, Joomla, Wordpress, R
LATEX.
Good knowledge of the following programming languages:
Matlab, IDL
Fortran 77, C++
HTML, XHTML, CSS, PHP, SQL, Java, Javascript, Jquery.
Formation and work experiences:
May 2014 - May 2015
Research fellow at the Department of Computer Science - University of Bari \"A. Moro\" entitled: \"Methods based on the recognition
emotions, for the design of adaptive multimodal interaction in virtual environments\"; Head of Research: Prof. Fabio Abbattista.
February 2011 - December 2013
PhD in Computer Science at the Department of Informatics, University of Bari \"A. Moro\" with the theme of the application of mathematical techniques to the field of recommender systems. Tutor: Dr. Gemmis de Marco.
July 2005
Degree in Mathematics, degree from the Faculty of Science MATHEMATICS, PHYSICS AND NATURAL University of Bari with a score of 102/110.
Thesis in Approximation Methods entitled \"Numerical solution of the equation of Richard for the motion of a fluid in the subsoil.\" Supervisors: prof. Luciano Lopez and dr. Filippo Notarnicola ( IAC CNR-Bari).
Project history
Dr. Marco de Gemmis - Department of Computer Science - University of Bari "A. Moro" - email: marco.degemmis@uniba.it
Local Availability
Only available in these countries:
Italy
Spatial availability: only remote work/project.
Temporal availability: part-time
Temporal availability: part-time
Other
Pubblications:
Giuseppe Ricci, Marco de Gemmis, Giovanni Semeraro
Mathematical Methods of Tensor Factorization Applied to Recommender Systems
New Trends in Databases and Information Systems
17th East European Conference on Advances in Databases and Information Systems Volume 241, ISBN 978-3-319-01862-1, 2013, pp 383-388.
Giuseppe Ricci, Marco de Gemmis, Giovanni Semeraro
Matrix and Tensor Factorization Techniques applied to Recommender
Systems: a Survey.
International Journal of Computer and Information Technology
(2277 – 0764) Volume 01– Issue 01, September 2012.
Giuseppe Ricci, Marco de Gemmis, Giovanni Semeraro
Mathematical Methods of Tensor Factorization Applied to Recommender Systems
New Trends in Databases and Information Systems
17th East European Conference on Advances in Databases and Information Systems Volume 241, ISBN 978-3-319-01862-1, 2013, pp 383-388.
Giuseppe Ricci, Marco de Gemmis, Giovanni Semeraro
Matrix and Tensor Factorization Techniques applied to Recommender
Systems: a Survey.
International Journal of Computer and Information Technology
(2277 – 0764) Volume 01– Issue 01, September 2012.
