基本信息
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Bio
The research activity has been carried out in the field of information processing technology and systems, with reference to distributed, massively-parallel and adaptive approaches, from the points of view of hardware, computational paradigms, and intensive-computing applications. In particular, the following areas have been addressed.
Neural techniques, architectures and applications
Theoretical, architectural, and application aspects of artificial neural networks have been studied for implementing optimized solutions, with particular reference to identification, prediction, control, signal, and image processing applications. Design methodologies have been developed for designing embedded composite systems and fault tolerance systems. Advanced industrial applications have been realized for production process and environmental monitoring, quality certification, and biomedical analysis.
Biometrics techniques and systems
Biometrics technologies and systems, including multi-modal approaches, have been studied for person verification, identification and recognition as well as for behavioral analysis, with specific reference to security applications. Biometric technologies and systems have been evaluated from different points of view to support a comprehensive design methodology. Privacy issues in biometrics have been analyzed.
Distributed and parallel information processing architectures
Modeling approaches have been studied for concurrent processes and communications in distributed and multiprocessor systems. Methodologies have been defined for evaluating process parallelism and system dimensioning, including fault tolerance capacity. The virtual FPGA management and an innovative agent-based distributed file system have been proposed.
Arithmetic units
Algorithmic and structural characteristics of arithmetic units and systems have been studied. New architectural solutions have been defined, with specific reference to high computational performance, high modularity, regularity of the integrated implementation, and fault tolerance by using codes.
Fault-tolerant architectures
Techniques and design methodologies have been studied for information processing systems with high performance and fault tolerance characteristics. In particular, innovative solutions have been proposed for array processors, and digital systems for signal and image processing applications.
Associations
IEEE (Fellow) - Institute of Electrical and Electronic Engineers
ACM (Distinguished Scientist) - Association for Computing Machinery
INNS (Senior Member) - International Neural Network Society
IMACS - International Association for Mathematics and Computers in Simulation
AEIT - Italian Federation for Electrotechnics, Electronics, Automation, Informatics and Telecommunications (formerly, Associazione Eletrotecnica ed Elettronica Italiana, AEI)
SIREN - Italian Society for Neural Networks
Research Interests
Papers共 555 篇Author StatisticsCo-AuthorSimilar Experts
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IEEE Transactions on Geoscience and Remote Sensingpp.1-1, (2024)
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICSno. 99 (2024): 1-13
IEEE Trans. Artif. Intell.no. 4 (2024): 1743-1754
2024 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)pp.1-6, (2024)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensingno. 99 (2024): 1-4
IEEE Systems Journalno. 99 (2024): 1-12
IEEE Trans. Comput. Soc. Syst.no. 3 (2024): 3045-3048
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2024): 7212-7215
IEEE Transactions on Geoscience and Remote Sensingno. 99 (2024): 1-1
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2024): 1-17
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