FERRARI STEFANO

Stefano Ferrari obtained the laurea degree in Computer Science, Università degli Studi di Milano in 1995 and the Ph.D. in Computer and Automation Engineering, Politecnico di Milano in 2001.

From 1996 to 1998 he collaborates with the Laboratory of Human Motion Analysis and Virtual Reality, Neuroscience e Bioimages Institute, Italian National Research Council and with the Department of Bioengineering of Politecnico di Milano
From 1998 to 2001 he is Ph.D. student at Department of Electronics and Information of Politecnico di Milano. From 2001 to 2002 he is Research associate at the Department of Information Technology, Università degli Studi di Milano. From 2002 to 2016 he is Assistant professor at the Department of Information Technology, Università degli Studi di Milano. Since 2016 he is Associate professor at the Department of Computer Science, Università degli Studi di Milano.

TEACHING ACTIVITY

- 2021/22--now Computer Programming, Undergraduate course in Artificial Intelligence, Università degli Studi di Milano.
- 2009/10--now Image Processing I, Graduate course in Informatics, Università degli Studi di Milano.
- 2016/17--2020/21 Programming, Undergraduate course in Computer security, Università degli Studi di Milano.
- 2003/04-2008/09 Fundamentals of Informatics for computer security, Undergraduate course in Computer security, Università degli Studi di Milano.
- 2003/04-2008/09 Lab. for Architectures and Logic networks, undergraduate course in Informatics, Università degli Studi di Milano.
- 2002/03 Lab. for Computer architectures, undergraduate course in Informatics, Università degli Studi di Milano.

RESEARCH ACTIVITY

The research activity tackled different areas of theory and application of soft computing and statistical learning paradigms. In particular, the main effort has been dedicated to the study of neural models and Support Vector Machines, and applications for measurement and representation of biometric signals.

* Multiscale paradigms for signal representation

The research considered tools for multiresolution signal representation.
A new self-configuring multiscale neural model (Hierarchical Radial Basis Functions network) has been developed and compared with the theoretical tool most used in the literature for multiscale signal processing (Wavelet transform).
Recently, a new multiscale model based on Support Vector Machines has been developed.

* Three-dimensional image processing

The reconstruction and representation of tridimensional surface has been the main applicative field of the neural models that have been studied, with particular focus on the problem of surface reconstruction from a dataset of noise affected sampled points.
Two different neural models (Enhanced Vector Quantization and Hierarchical Radial Basis Functions network) have been developed and applied to this problem.

* Signal processing

More general signal processing aspects have been subjected to the research activity.
In this field, both neural models and traditional techniques have been studied and applied.
In particular, the reasearch work focused on granulometry and diagnostic problems.

* Methodological aspects for composite systems specification and design.

The research in this field faced the problem of the implementation of soft computing paradigms. The traditional methodologies for designing embedded systems are base on algorithmic description of the specification. For the soft computing paradigms, such description exists only after the their configuration has been operated. The research work studied a new example based methodology, which can be integrated with the traditional methodology.

EDITORIAL AND PROFESSIONAL ACTIVITY

2021--, Membership Development Committee Coordinator of IEEE Italy Section
2016--2021, Information Management Coordinator of IEEE Italy Section
2014--2016, Treasurer of the IEEE Italy Section
2012--2015, Chair of the IEEE Italy Section Systems Council Chapter
2010-2011, Vice-Chair of the IEEE Italy Section Systems Council Chapter.
2009, Secretary of the IEEE Italy Section Systems Council Chapter.

2006 and 2007, Co-Guest Editor for the Special Section on Virtual Environments, Human-Computer Interface and Measurement Systems, IEEE Transactions on Instrumentation and Measurement.

Technical program co-chair: HAVE 2007, VECIMS 2009 and 2010
Publication chair: EESMS 2010
Program committee:
- VECIMS (2004, 2005, 2006, 2008), IEEE International Conference on Virtual Environments, Human-Computer Interfaces, and Measurement Systems;
- WCCI 2008, IEEE World Congress on Computational Intelligence;
- EESMS 2010 (2010 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems).

Journal Review:
- IEEE Transaction on Neural Networks
- IEEE Transaction on Instrumentation and Measurements
- IEEE Signal Processing Letters
- IEEE Systems Journal
- Integrated Computer-Aided Engineering, pubblicato da IOS Press
- Journal of Systems Architecture, pubblicato da Elsevier Science
- Neural Computing & Applications
- Optics Express

Conference Review:
IMTC (2005, 2006), VECIMS (2003, 2006, 2008, 2009), CIMSA (2004, 2007, 2008, 2009), HAVE (2007), WCCI (2008, 2010), VIMS (2001, 2002), Computing Frontiers (2004), ICRA(2008).