{"id":2060,"date":"2025-11-03T14:50:46","date_gmt":"2025-11-03T13:50:46","guid":{"rendered":"https:\/\/portale2.unime.it\/decilab\/?post_type=lo_staff&p=2060"},"modified":"2025-12-16T12:18:38","modified_gmt":"2025-12-16T11:18:38","slug":"danny-de-novi","status":"publish","type":"lo_staff","link":"https:\/\/portale2.unime.it\/decilab\/?lo_staff=danny-de-novi","title":{"rendered":"Danny De Novi"},"content":{"rendered":"\t\t
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DANNY DE NOVI<\/h2>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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danny.denovi@unime.it<\/a><\/h2>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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Danny DE NOVI<\/b> \u00e8 un Dottorando di Ricerca in Artificial Intelligence for Society<\/i> con sede amministrativa presso l\u2019Universit\u00e0 di Pisa e sede esecutiva presso l\u2019Universit\u00e0 degli Studi di Messina.<\/p>

Ha conseguito la laurea magistrale in Data Science (LM-DATA) nel 2025 presso l\u2019Universit\u00e0 degli Studi di Messina.<\/p>

\u00a0<\/p>

\u00c8 stato borsista di studio nel progetto Horizon Europe NEUROKIT2E, occupandosi di ricerca sulle computazioni neurali per dispositivi a basso consumo energetico e ridotta capacit\u00e0 computazionale, con particolare attenzione ai meccanismi di compressione dei modelli (i.e., quantizzazione e pruning).<\/p>

\u00a0<\/p>

La sua attuale attivit\u00e0 di ricerca si concentra sullo sviluppo di modelli di forecasting, anomaly detection e scheduling di microservizi nel computing continuum, con l\u2019obiettivo di ottimizzare l\u2019allocazione dinamica delle risorse e migliorare l\u2019efficienza operativa dei sistemi distribuiti. Parallelamente, studia tecniche di certificazione di modelli e pipeline di machine learning su blockchain, mirate a garantire trasparenza, tracciabilit\u00e0 e verificabilit\u00e0 nei processi decisionali automatizzati.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"featured_media":2189,"template":"elementor_header_footer","categories":[39],"class_list":["post-2060","lo_staff","type-lo_staff","status-publish","has-post-thumbnail","hentry","category-dottorandi","entry"],"yoast_head":"\nDanny De Novi - DECILab<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/portale2.unime.it\/decilab\/?lo_staff=danny-de-novi\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Danny De Novi - DECILab\" \/>\n<meta property=\"og:description\" content=\"DANNY DE NOVI danny.denovi@unime.it Danny DE NOVI \u00e8 un Dottorando di Ricerca in Artificial Intelligence for Society con sede amministrativa presso l\u2019Universit\u00e0 di Pisa e sede esecutiva presso l\u2019Universit\u00e0 degli Studi di Messina. 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