Federico De Martino

Title: engineer

Clermonlunet 13a

6221JB Maastricht

The Netherlands

Dutch mobile: 0031-(0)6-15508059

Office number: 0031-(0)43-3884532

e-mail: f.demartino@psychology.unimaas.nl

 

 

 

 

Academic Background:

      The research for the thesis was conducted at the department of Cognitive Neuroscience,         Faculty of Psychology of the University of Maastricht, The Netherlands (supervisors Dr. Elia Formisano and Prof. Rainer Goebel).

 

Research:

Ph.D. student at the department of Cognitive Neuroscience, faculty of Psychology of the University of Maastricht.

 

Work in progress, detection and classification of fMRI independent components extracted from fMRI experiments based on multi parameters and support vector machines.

 

Integrating Independent Component Analysis (ICA) tools in the BrainVoyager fMRI software package.

 

Attended courses:

            At the university of Rome "La Sapienza", exams related to biomedical engineering:

                        Mathematic models for engineering.

Microelectronics, in particular work on mioelectric signals.

                        Mathematic models for biological systems.

                        Bio-engineering.

                        Electromagnetic interaction with biological systems.

                        Data and signal analysis of biomedical signals.

            Autumn school on Functional MRI (Sorrento Italy, 2003).

Advanced fMRI analysis toolkit 2004 at the F.C Donders centre Njimegen, The Netherlands.

Advanced MR imaging toolkit 2004 at the F.C. Donders centre Njimegen, The Netherlands.

Mathematic in Brain Imaging, Institute of Pure and Applied Mathematics (IPAM), University of California Los Angeles, U.S.A.

IDEA programming course, Siemens Erlangen, Germany.

 

Awards:

June 2005: Travel award for the 11th annual meeting of the Organization for Human Brain Mapping Conference (Toronto, Canada).

 

Languages:

            Italian (native) - Spoken and written English and Spanish.

 

Programming capabilities:

            Matlab, C\C++, OpenGL

  

Publications:

E. Formisano, F. De Martino, F. Gentile, M. Balsi, F. Esposito, F. Di Salle and R. Goebel.

Classification of fMRI-independent components in a multidimensional feature space

using least-square support vector machines (abstract) OHBM 2004 meeting, 10th edition, Budapest, HU, WE 171.

 

E. Formisano, F. De Martino,  N. Kriegeskorte, B. Sorger, F. Esposito, F. Di Salle, & R. Goebel.

Spatiotemporal fingerprints of fMRI brain activations during structure from motion face recognition (abstract). Society for Neuroscience, 34th edition, San Diego, USA.258.7.

 

F. De Martino, F. Gentile, E. Formisano.

Local multivariate mapping of fMRI dynamics using Support Vector Machines (abstract) OHBM 2005 meeting, 11th edition, Toronto.

 

G. Valente, F. De Martino, M. Balsi, E. Formisano.

Optimising ICA using generic knowledge of the sources.

IEEE Prime 2005 conference, Lausanne (Switzerland), July 2005.
 
G. Valente, G. Filosa, F. De Martino, E. Formisano, M. Balsi.

Optimising ICA using Prior Information.

Proceedings of the 2nd International Conference on Informatics in Control, Automation and Robotics, Workshop on biosignal processing and classification (BPC 2005), Barcelona (Spain), September 2005.