Numerical methods for large-scale inverse problems in imaging applications; methods for large-scale machine learning; parallel computing for numerical applications in imaging, biosciences and pattern recognition; numerical optimization

Short description of the research team

Thematic fields of interest/research areas:
numerical methods for large-scale inverse problems in imaging applications; methods for large-scale machine learning; parallel computing for numerical applications in imaging, biosciences and pattern recognition; numerical optimization.

Manager/head of the team: Valeria Ruggiero

Team members: Gaetano Zanghirati, Silvia Bonettini, Riccardo Zanella, Alessandro Benfenati, Michele Ferrari.

 

Research infrastructures:
hybrid CPU/GPU servers (http://fermi.unife.it), PC cluster, scientific-technological libraries (www.unife.it/sba), Numerical Analysis laboratory.

 

Prerequisites of the trainee researcher:
Level of education: Ph.D. in Applied Mathematics, or Computer Science, or related fields.
Research experience: comparable to or higher than that of a Ph.D.
Required working language: English.
Further required requisites: programming skills at least for Matlab/Octave, some experiences in using numerical libraries. Some experiences with C/C++/Fortran programming and parallel programming paradigms are appreciated.

 

Further useful information:
the research group has a well established scientific cooperation with the Numerical Analysis groups of the Universities of Modena-Reggio Emilia, Genova and Bologna. Moreover, research collaborations are ongoing with foreign institutions such as the Faculté des Sciences of the Université Libre de Brusselles (BE) and the Maths and CS Division of the University of Dundee (UK). The group is currently involved in a three-years-long Ph.D. program on Biomed applications of inverse problems, funded by the SPINNER 2013 initiative of the Emilia-Romagna Region (http://ipbioss.unimore.it). A long-lasting cooperation for research and support is also established with the CINECA Supercomputing Centre (Bologna, http://www.cineca.it), which provides access to large HPC facilities, such as the BlueGene/Q (rated 7th in the Top500 supercomputers world list, 2nd in Europe). Two type-C ISCRA research projects are currently ongoing at CINECA for large-scale imaging and genomic applications, headed by members of the research group.

 

Contact:
v.ruggiero@unife.it, g.zanghirati@unife.it, silvia.bonettini@unife.it, riccardo.zanella@unife.it.