Prof. Alessandro Salvini - Elettronica Applicata - Università degli ...

Prof. Alessandro Salvini - Elettronica Applicata - Università degli ... Prof. Alessandro Salvini - Elettronica Applicata - Università degli ...

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06.08.2015 Views

Ampere-Lab.He is involved in the following listed Educational Activities for Graduated orMaster students:1) Circuit Theory2) Eletrotechnics3) Non-linear Circuits4) Electric Safety5) Electric Circuits and SystemsFor Phd students:1) Neural Networks and Technology2) Syntesis of NetworksHis main scientific interests are:1) Analysis and Modelling of MHD generators (from 1993)2) Electromagnetic behaviour of Materials and Devices (from 1995): frequencyresponse of multilayer magnetic thin films and massive conductors3) Magnetic Dynamic Hysteresis: Macromodels based on neural networks(from 2000), Genetic Algorithms (from 2001), soft-computing (from 2003)4) Neural Networks for biological signals (from 2000)5) Optimization by means of Evolutionary Algorithms and modern heuristics ofElectrical and Electromagnetic Systems (from 2005)Alessandro Salvini was involved in several Research Projectlike: MURST ex 60%, CNR, PRIN.He is author of more than 90 papers published on International Journals or inProceedings of International Conferences.Pubblicazioni più recenti (dal 2009 al giugno 2013)1 inpressCoco S, Laudani A, Riganti Fulginei F, Salvini A (in stampa). NeuralFem approach for the analysis of hysteretic materials in unboundeddomain. COMPEL, vol. 32, ISSN: 0332-16492 inpressCoco S, Laudani A, Pulcini G, Riganti Fulginei F, Salvini A (instampa). Optimization of multistage depressed collectors using femand parallel algorithm Meteo. COMPEL, vol. 32, ISSN: 0332-16493 2013 Fulginei F R, Laudani A, Salvini A, Parodi M (2013). Automatic andParallel Optimized Learning for Neural Networks performing MIMOApplications. ADVANCES IN ELECTRICAL AND COMPUTERENGINEERING, vol. 13, p. 3-12, ISSN: 1582-7445, doi:10.4316/AECE.2013.01001

4 2012 COCO S, LAudani A, Riganti FULGINEI F, SALVINI A (2012).Accurate design of Helmholtz coils for ELF Bioelectromagneticinteraction by means of continuous FSO. INTERNATIONAL JOURNALOF APPLIED ELECTROMAGNETICS AND MECHANICS, vol. 39, p.651-656, ISSN: 1383-5416, doi: 10.3233/JAE-2012-15245 2012 F. RIGANTI FULGINEI, SALVINI A, M. PARODI (2012). Learningoptimization of neural networks used for MIMO applications basedon multivariate functions decomposition. INVERSE PROBLEMS INSCIENCE & ENGINEERING, vol. 20, p. 29-39, ISSN: 1741-5977,doi: 10.1080/17415977.2011.6290476 2012 RIGANTI FULGINEI F, SALVINI A, PULCINI G (2012). Metrictopological-evolutionaryoptimization. INVERSE PROBLEMS INSCIENCE & ENGINEERING, vol. 20, p. 41-58, ISSN: 1741-5977,doi: 10.1080/17415977.2011.6246247 2012 RIGANTI FULGINEI F, SALVINI A (2012). Neural Network Approachfor Modelling Hysteretic Magnetic Materials under DistortedExcitations. IEEE TRANSACTIONS ON MAGNETICS, vol. 48, p. 307-310, ISSN: 0018-9464, doi: 10.1109/TMAG.2011.21761068 2012 COCO S, LAUDANI A, RIGANTI FULGINEI F, SALVINI A (2012).Shape Optimization of Multistage Depressed Collectors by ParallelEvolutionary Algorithm. IEEE TRANSACTIONS ON MAGNETICS, vol.48, p. 435-438, ISSN: 0018-9464, doi:10.1109/TMAG.2011.21740359 2012 S. COCO, A. LAUDANI, F. RIGANTI FULGINEI, SALVINI A (2012).TEAM PROBLEM 22 APPROACHED BY A HYBRID ARTIFICIAL LIFEMETHOD. COMPEL, vol. 31, p. 816-826, ISSN: 0332-1649, doi:10.1108/0332164121120972610 2012 COCO S, LAUDANI A, POLLICINO G, RIGANTI FULGINEI F, SALVINIA (2012). TWT MAGNETIC FOCUSING STRUCTURE OPTIMIZATIONBY PARALLEL EVOLUTIONARY ALGORITHM. COMPEL, vol. 31, p.1338 -1346, ISSN: 0332-1649, doi: 10.1108/0332164121124634711 2009 RIGANTI FULGINEI F, SALVINI A (2009). Hysteresis modelidentification by the Flock-of-Starlings Optimization.INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS ANDMECHANICS, vol. Volume 30, Number 3-4, p. 321-331, ISSN:1383-5416, doi: 10.3233/JAE-2009-1032N° Anno12 2010 RIGANTI FULGINEI F, SALVINI A (2010). The Flock of StarlingsOptimization: Influence of Topological Rules on the CollectiveBehavior of Swarm Intelligence. In: SLAWOMIR WIAK AND EWANAPIERALSKA-JUSZCZAK. Studies in Computational Intelligence -Computational Methods for the Innovative Design of ElectricalDevices. vol. 327, p. 129-145, doi: 10.1007/978-3-642-16225-1_7

4 2012 COCO S, LAudani A, Riganti FULGINEI F, SALVINI A (2012).Accurate design of Helmholtz coils for ELF Bioelectromagneticinteraction by means of continuous FSO. INTERNATIONAL JOURNALOF APPLIED ELECTROMAGNETICS AND MECHANICS, vol. 39, p.651-656, ISSN: 1383-5416, doi: 10.3233/JAE-2012-15245 2012 F. RIGANTI FULGINEI, SALVINI A, M. PARODI (2012). Learningoptimization of neural networks used for MIMO applications basedon multivariate functions decomposition. INVERSE PROBLEMS INSCIENCE & ENGINEERING, vol. 20, p. 29-39, ISSN: 1741-5977,doi: 10.1080/17415977.2011.6290476 2012 RIGANTI FULGINEI F, SALVINI A, PULCINI G (2012). Metrictopological-evolutionaryoptimization. INVERSE PROBLEMS INSCIENCE & ENGINEERING, vol. 20, p. 41-58, ISSN: 1741-5977,doi: 10.1080/17415977.2011.6246247 2012 RIGANTI FULGINEI F, SALVINI A (2012). Neural Network Approachfor Modelling Hysteretic Magnetic Materials under DistortedExcitations. IEEE TRANSACTIONS ON MAGNETICS, vol. 48, p. 307-310, ISSN: 0018-9464, doi: 10.1109/TMAG.2011.21761068 2012 COCO S, LAUDANI A, RIGANTI FULGINEI F, SALVINI A (2012).Shape Optimization of Multistage Depressed Collectors by ParallelEvolutionary Algorithm. IEEE TRANSACTIONS ON MAGNETICS, vol.48, p. 435-438, ISSN: 0018-9464, doi:10.1109/TMAG.2011.21740359 2012 S. COCO, A. LAUDANI, F. RIGANTI FULGINEI, SALVINI A (2012).TEAM PROBLEM 22 APPROACHED BY A HYBRID ARTIFICIAL LIFEMETHOD. COMPEL, vol. 31, p. 816-826, ISSN: 0332-1649, doi:10.1108/0332164121120972610 2012 COCO S, LAUDANI A, POLLICINO G, RIGANTI FULGINEI F, SALVINIA (2012). TWT MAGNETIC FOCUSING STRUCTURE OPTIMIZATIONBY PARALLEL EVOLUTIONARY ALGORITHM. COMPEL, vol. 31, p.1338 -1346, ISSN: 0332-1649, doi: 10.1108/0332164121124634711 2009 RIGANTI FULGINEI F, SALVINI A (2009). Hysteresis modelidentification by the Flock-of-Starlings Optimization.INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS ANDMECHANICS, vol. Volume 30, Number 3-4, p. 321-331, ISSN:1383-5416, doi: 10.3233/JAE-2009-1032N° Anno12 2010 RIGANTI FULGINEI F, SALVINI A (2010). The Flock of StarlingsOptimization: Influence of Topological Rules on the CollectiveBehavior of Swarm Intelligence. In: SLAWOMIR WIAK AND EWANAPIERALSKA-JUSZCZAK. Studies in Computational Intelligence -Computational Methods for the Innovative Design of ElectricalDevices. vol. 327, p. 129-145, doi: 10.1007/978-3-642-16225-1_7

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