Contact Information

Fabio Scotti
Department of Computer Science, UniversitÓ degli Studi di Milano
Via Bramante 65 - 26013 Crema (CR), Italy
phone: +39 02 503 30053 or +39 0373 898053
Fax: +39 02 50330010
email: fabio.scotti AT




The research activity has principally been performed in the field of information processing technology and systems, signal and image processing methodologies and techniques, computational intelligence methods in industrial, security and service-oriented applications, intensive-computing applications and embedded applications. In particular, the sequent areas have been researched.


The research activity has been focused on the acquisition, coding, encryption, and privacy protection of biometric data. The high level theory for the elaboration of biometric data has been studied in order to obtain a flexible balancing between accuracy and computational complexity in monomodal and multimodal biometric systems. Techniques for the automatic design and performance optimization of distributed biometric systems, and for the definition and measurement of the related figures of merit and performance have been presented. Methods based on image processing techniques for fingerprint images captured in contactless biometric systems have been studied, also considering three-dimensional techniques. The presented techniques have been implemented and verified with specific virtual environments designed for the computation of synthetic three-dimensional models and techniques for the quality assessment of the extracted data. Soft biometric techniques have also been analyzed with the specific reference to the weight estimation of walking individuals from frame sequences captured at a distance. Researches have also been performed on techniques for the continuous biometric authentication based on multiple biometric traits (fingerprint and face), with particular attention to data fusion strategies based on fuzzy logic approaches. Techniques for the quality enhancement of iris images captured by biometric systems have also been studied. In particular, the algorithms presented in regarding adaptive techniques for the segmentation of noisy iris images captured in unconstrained conditions ranked seventh at the international completion NICE.I (Noisy Iris Challenge Evaluation) involving 97 participants from universities and companies of 30 countries.

High-level synthesis and system optimization based on computational intelligence techniques

The following topics were studied: The obtained theoretical results have been applied and tested in the following real cases. The real-time detection and measurement of profiles in high speed captured images was studied, using composite image processing techniques, based on traditional prefiltering methods and computational intelligence techniques, also in embedded systems. A method for the classification of the laser cut of metals, based on the images of the jet of sparks captured by a camera, was studied. The high-level synthesis methods were also applied in the creation of automatic multisensorial systems for the quality evaluation in industrial laser production machinery. The research activity produced innovative methods for the quality identification in laser cut systems, registered in the Italian, European and American patent offices. The composite design method was also applied in the field of the automatic wood type classification based on the neural analysis of the fluorescent spectrum, and in the automatic defect analysis of the finished particle boards. Very positive results were obtained in the study of the automatic diagnosis of the Acute Lymphoblastic Leukemia from microscopic images. The application of neural networks was also studied in conjunction with image processing techniques for the particle granulometry analysis, for the creation of virtual environments for their design and optimization, and for the object volume measurement using contactless techniques based on multiple views.

Other topics

Other topics addressed include the study of the techniques for the optimization of the structure of distributed information systems using genetic techniques, and the study of the problems related to the privacy protection in the processing of environmental data.

Collaborations with research institutes and industries

The activities have been carried out within research institutes (Agenzia Spaziale Italiana, CNR, European Centre for Soft Computing, IRST-Trento, Istituto di studio sui sistemi intelligenti per l'automazione, Laser Zentrum Hannover, Politecnico di Bari, Politecnico di Milano, Universidad Rey Juan Carlos) and national and international industries (Centro Ricerche FIAT, Dermalog Identification Systems Gmbh, Gilardoni s.p.a., Gruppo Finmeccanica, Edison s.p.a., IMAL s.r.l., Indra Sistemas s.a., Laben s.p.a, Planetek Italia s.p.a, Philips, Quadrics Supercomputers World Ltd, Safe-ID solutions Gmbh, SAIB s.p.a, STMicroelectronics, Space DAT s.r.l., Space Software Italia s.p.a, Tecnogamma s.p.a, Trumpf GmbH, Vision-box s.a).



Undergraduate and graduate courses

UniversitÓ degli Studi di Milano (after 2005 as "Professore aggregato", L. 04/11/05 n. 230 and present law):

Ph.D. programs

International master courses

Teaching support

UniversitÓ degli Studi di Milano: Politecnico di Milano:

Modules in undergraduate and graduate courses

International courses and tutorials


Ph.D. co-supervision

Other teaching activities




Research activities

Research organization

Management of research projects

Scientific partecipation in international and national research projects

Technology transfer

Co-inventor of the following patents:

Editorial activities

Reviewer for journals and conferences

Reviewer for many international conferences (mainly in the computer science field and relative applications) and for the sequent international scientific journals:

Conference activities

Technical committees and Chapters

Educational activities in International programs

He was the coordinator of the operational management of the International Master's Degree Program on Soft Computing for Industrial Applications - IMSCIA, at UniversitÓ degli Studi di Milano (Italy), with the scientific cooperation of Carnegie Mellon University (USA), Írebro University (Sweden), University of Ottawa (Canada), University of Siena (Italy), and Warsaw University of Technology (Poland), and with the support of the IEEE Neural Networks Society, IEEE Instrumentation and Measurement Society, INNS - International Neural Networks Society, ENNS - European Neural Network Society, and SIREN - SocietÓ Italiana Reti Neurali

Reviewing activities for scientific research projects

University services

As member of the Orientation committee of the Faculty of Mathematical, Physical and Natural Sciences, at UniversitÓ degli Studi di Milano, and as the coordinator of the Orientation committee at the Crema campus of the UniversitÓ degli Studi di Milano, he performs the sequent tasks: