{"id":50,"date":"2021-09-21T09:11:43","date_gmt":"2021-09-21T09:11:43","guid":{"rendered":"http:\/\/connets.di.unimi.it\/?page_id=50"},"modified":"2026-02-12T09:36:51","modified_gmt":"2026-02-12T09:36:51","slug":"thesis","status":"publish","type":"page","link":"https:\/\/connets.di.unimi.it\/?page_id=50","title":{"rendered":"Thesis"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"50\" class=\"elementor elementor-50\">\n\t\t\t\t\t\t\t\t\t<section data-eae-particle=\"{\n  &quot;particles&quot;: {\n    &quot;number&quot;: {\n      &quot;value&quot;: 99,\n      &quot;density&quot;: {\n        &quot;enable&quot;: true,\n        &quot;value_area&quot;: 552.4044389642416\n      }\n    },\n    &quot;color&quot;: {\n      &quot;value&quot;: &quot;#faf6f0&quot;\n    },\n    &quot;shape&quot;: {\n      &quot;type&quot;: &quot;edge&quot;,\n      &quot;stroke&quot;: {\n        &quot;width&quot;: 0,\n        &quot;color&quot;: &quot;#000000&quot;\n      },\n      &quot;polygon&quot;: {\n        &quot;nb_sides&quot;: 7\n      },\n      &quot;image&quot;: {\n        &quot;src&quot;: &quot;img\/github.svg&quot;,\n        &quot;width&quot;: 100,\n        &quot;height&quot;: 100\n      }\n    },\n    &quot;opacity&quot;: {\n      &quot;value&quot;: 0.5,\n      &quot;random&quot;: false,\n      &quot;anim&quot;: {\n        &quot;enable&quot;: false,\n        &quot;speed&quot;: 1,\n        &quot;opacity_min&quot;: 0.1,\n        &quot;sync&quot;: false\n      }\n    },\n    &quot;size&quot;: {\n      &quot;value&quot;: 2,\n      &quot;random&quot;: true,\n      &quot;anim&quot;: {\n        &quot;enable&quot;: false,\n        &quot;speed&quot;: 40,\n        &quot;size_min&quot;: 0.1,\n        &quot;sync&quot;: false\n      }\n    },\n    &quot;line_linked&quot;: {\n      &quot;enable&quot;: true,\n      &quot;distance&quot;: 150,\n      &quot;color&quot;: &quot;#faf6f0&quot;,\n      &quot;opacity&quot;: 0.11048088779284833,\n      &quot;width&quot;: 1\n 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data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;shape_divider_bottom&quot;:&quot;opacity-tilt&quot;}\">\n\t\t\t\t\t<div class=\"elementor-shape elementor-shape-bottom\" data-negative=\"false\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 2600 131.1\" preserveAspectRatio=\"none\">\n\t<path class=\"elementor-shape-fill\" d=\"M0 0L2600 0 2600 69.1 0 0z\"\/>\n\t<path class=\"elementor-shape-fill\" style=\"opacity:0.5\" d=\"M0 0L2600 0 2600 69.1 0 69.1z\"\/>\n\t<path class=\"elementor-shape-fill\" style=\"opacity:0.25\" d=\"M2600 0L0 0 0 130.1 2600 69.1z\"\/>\n<\/svg>\t\t<\/div>\n\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d7800bf\" data-id=\"d7800bf\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c84807d elementor-widget elementor-widget-heading\" data-id=\"c84807d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Thesis<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-036d858 elementor-widget elementor-widget-spacer\" data-id=\"036d858\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-eae-particle=\"{\n  &quot;particles&quot;: {\n    &quot;number&quot;: {\n      &quot;value&quot;: 99,\n      &quot;density&quot;: {\n        &quot;enable&quot;: true,\n        &quot;value_area&quot;: 552.4044389642416\n      }\n    },\n    &quot;color&quot;: {\n      &quot;value&quot;: &quot;#faf6f0&quot;\n    },\n    &quot;shape&quot;: {\n      &quot;type&quot;: &quot;edge&quot;,\n      &quot;stroke&quot;: {\n        &quot;width&quot;: 0,\n        &quot;color&quot;: &quot;#000000&quot;\n      },\n      &quot;polygon&quot;: {\n        &quot;nb_sides&quot;: 7\n      },\n      &quot;image&quot;: {\n        &quot;src&quot;: &quot;img\/github.svg&quot;,\n        &quot;width&quot;: 100,\n        &quot;height&quot;: 100\n      }\n    },\n    &quot;opacity&quot;: {\n      &quot;value&quot;: 0.5,\n      &quot;random&quot;: false,\n      &quot;anim&quot;: {\n        &quot;enable&quot;: false,\n        &quot;speed&quot;: 1,\n        &quot;opacity_min&quot;: 0.1,\n        &quot;sync&quot;: false\n      }\n    },\n    &quot;size&quot;: {\n      &quot;value&quot;: 2,\n      &quot;random&quot;: true,\n      &quot;anim&quot;: {\n        &quot;enable&quot;: false,\n    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elementor-section-height-min-height eae-particle-yes elementor-hidden-desktop elementor-hidden-tablet elementor-section-boxed elementor-section-height-default elementor-section-items-middle\" data-id=\"7d88c3c\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;shape_divider_bottom&quot;:&quot;opacity-tilt&quot;}\">\n\t\t\t\t\t<div class=\"elementor-shape elementor-shape-bottom\" data-negative=\"false\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 2600 131.1\" preserveAspectRatio=\"none\">\n\t<path class=\"elementor-shape-fill\" d=\"M0 0L2600 0 2600 69.1 0 0z\"\/>\n\t<path class=\"elementor-shape-fill\" style=\"opacity:0.5\" d=\"M0 0L2600 0 2600 69.1 0 69.1z\"\/>\n\t<path class=\"elementor-shape-fill\" style=\"opacity:0.25\" d=\"M2600 0L0 0 0 130.1 2600 69.1z\"\/>\n<\/svg>\t\t<\/div>\n\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-6cc8ba0\" data-id=\"6cc8ba0\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-aa66c2f elementor-widget elementor-widget-heading\" data-id=\"aa66c2f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">thesis<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-557d468 elementor-widget elementor-widget-spacer\" data-id=\"557d468\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div 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class=\"elementor-widget-container\">\n\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">available<\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-0708d7b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0708d7b\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1b88cd9\" data-id=\"1b88cd9\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-inner-section elementor-element elementor-element-c20afc0 elementor-section-full_width 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class=\"elementor-toggle\" role=\"tablist\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-2421\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"tab\" aria-controls=\"elementor-tab-content-2421\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Deep Reinforcement Learning algorithm for MEC services management<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-2421\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-2421\"><h5>L\u2019obiettivo della tesi \u00e8 lo studio e la progettazione in un algoritmo basato su Deep Reinforcement Learning (DRL) per la gestione di risorse MEC a supporto di servizi a bassa latenza. Il lavoro di tesi prevede una fase preliminare di studio delle tecniche di DRL presenti in letteratura; successivamente verr\u00e0 analizzato e modellato il problema specifico e si svilupperanno soluzioni adeguate. L\u2019ultima fase del lavoro consiste nella valutazione dei risultati ottenuti in scenari simulati.<\/h5><h6><strong>#masterdegree, #machinelearning #edgecomputing #dataanalysis #python \u00a0<\/strong><\/h6><h6><strong>Contact: <\/strong>christian.quadri@unimi.it<\/h6><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-2422\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"tab\" aria-controls=\"elementor-tab-content-2422\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Progettazione e sviluppo di un Testbed di Tele-operated Driving con Emulazione della rete 5G<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-2422\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-2422\"><h6><strong>L&#8217;obittivo della tesi \u00e8 la realizzazione di un testbed per la guida remota tramite una simulatore veicolare e una emulazione della rete 5G.<br \/>Tool utilizzabili <a href=\"https:\/\/carla.org\/\">CARLA<\/a> &amp; <a href=\"http:\/\/simu5g.org\/\">Simu5G<\/a><\/strong><\/h6><p>\u00a0<\/p><h6><strong style=\"font-size: 16px;\">#5G RAN<br \/>#simulation\/emulation<br \/>#Python\/C++<br \/><\/strong><\/h6><h6><strong>Contact: <\/strong>christian.quadri@unimi.it<\/h6><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"has_eae_slider elementor-column 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id=\"uc_blob_shapes_elementor27020_size\" class=\"ue_blob_inside\">\n    \t\n    <div id=\"uc_blob_shapes_elementor27020\" style=\"background-image:url(https:\/\/connets.di.unimi.it\/wp-content\/uploads\/2021\/09\/Screenshot-2021-09-22-at-17.08.27.png)\" class=\"blob\" ><\/div>\n    <div class=\"ue-blob-text-holder\">\n  \t\t <div class=\"ue-blob-title\">Data and Network Science<\/div>             <\/div>\n    <\/div>\n<\/div>\n\t\t\t<!-- end Blob Shapes -->\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-61aa31c elementor-widget elementor-widget-toggle\" data-id=\"61aa31c\" data-element_type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-toggle\" role=\"tablist\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1021\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"tab\" aria-controls=\"elementor-tab-content-1021\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Organizzazione delle ego-networks in blockchain-based social media<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1021\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1021\"><h5>Il progetto prevede l&#8217;applicazione delle teorie di Dunbar sull&#8217;organizzazione delle ego-network degli individui nel contesto delle reti sociali online. Nello specifico i social media oggetto di questo progetto fanno parte della nuova categoria di social media basati su tecnologia blockchain, tra cui Steemit ed Hiveblog. Il progetto prevede l&#8217;applicazione di metodi di clustering applicate alle informazioni relative alle interazioni degli utenti in social media e l&#8217;analisi delle reti etichettate mediante tali algoritmi di clustering.<\/h5><h5>#3comdig #dseh<\/h5><h6><strong>Contact: <\/strong>matteo.zignani@unimi.it<\/h6><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1022\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"tab\" aria-controls=\"elementor-tab-content-1022\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Analytics dashboard per la piattaforma YSocial<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1022\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1022\"><h5>l progetto prevede una sezione di analytics da integrare nella piattaforma di social media digital twin YSocial. Tale piattaforma \u00e8 stata progettata per supportare fenomeni caratterizzanti social media mediante la definizione di agenti basati su AI appositamente definiti per replicare i comportamenti tipici degli utenti online. La sezione di analytics prevede una collezione di grafici costruiti in real-time a partire dai dati prodotti dalla piattaforma: interazioni, reti di amicizia, commenti, gruppi, topics, analisi del contenuto testuale. Dal momento che la piattaforma YSocial si basa sul framework Flask, \u00e8 necessario un primo periodo di approfondimento su Flask.<\/h5><h5>#3comdig<\/h5><h6><strong>Contact: <\/strong>matteo.zignani@unimi.it<\/h6><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1023\" class=\"elementor-tab-title\" data-tab=\"3\" role=\"tab\" aria-controls=\"elementor-tab-content-1023\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Rilevamento non supervisionato e interpretabile di social bot con teoria dell\u2019informazione strutturale<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1023\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1023\"><h5>Obiettivo della tesi \u00e8 riprodurre e poi estendere il framework UnDBot per la bot detection *unsupervised* e interpretabile: (i) costruzione di un grafo multi-relazionale pesato tra utenti basato su similarit\u00e0 comportamentali (posting type distribution, posting influence, follow-to-follower ratio); (ii) ottimizzazione dell\u2019entropia strutturale eterogenea per ottenere un encoding tree e un clustering gerarchico; (iii) labeling delle comunit\u00e0 combinando influenza e coesione (entropia dei nodi).<\/h5><h5>#3comdig #dseh<\/h5><h5><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3660522\">Link<\/a> al paper<\/h5><h6><strong>Contact<\/strong>: matteo.zignani@unimi.it<\/h6><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1024\" class=\"elementor-tab-title\" data-tab=\"4\" role=\"tab\" aria-controls=\"elementor-tab-content-1024\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Social Media Mining su Moltbot: raccolta dati e analisi rete-testo in un social popolato da agenti AI<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1024\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"4\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1024\"><h5>Moltbot \u00e8 un social media in cui non esistono utenti umani: tutti i profili sono agenti AI autonomi che generano post, commenti e relazioni di interazione (follow\/mention\/reply). La tesi prevede una prima fase di data gathering per costruire un dataset riproducibile che integri grafo delle interazioni (anche temporale) e contenuti testuali, tramite una pipeline di raccolta e storage strutturato. La seconda fase riguarda il social media mining con analisi congiunta della rete (centralit\u00e0, comunit\u00e0, evoluzione e pattern di interazione) e del testo prodotto (temi, dinamica conversazionale, stile e possibili segnali di coordinamento), con eventuale confronto con baseline o dataset social \u201cumani\u201d.<\/h5><h5>#3comdig #mag_info<\/h5><h6><strong>Contact: matteo.zignani@unimi.it<\/strong><\/h6><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1025\" class=\"elementor-tab-title\" data-tab=\"5\" role=\"tab\" aria-controls=\"elementor-tab-content-1025\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">DygFormer per la rilevazione di frodi su carte di credito in grafi dinamici a tempo continuo<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1025\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"5\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1025\"><h5>Obiettivo della tesi \u00e8 progettare e valutare un sistema di fraud detection che sfrutti DygFormer (continuous-time graph neural network basata su Transformer) per modellare l\u2019evoluzione temporale delle interazioni tra carte di credito, esercenti, terminali, utenti e localit\u00e0. Lo studente costruir\u00e0 un grafo temporale eterogeneo in cui ogni transazione \u00e8 un evento con timestamp e attributi (importo, canale, MCC, geo, device), e implementer\u00e0 una pipeline di link\/event classification per stimare la probabilit\u00e0 di frode. Il lavoro includer\u00e0: (i) definizione dello schema del grafo e strategie di temporal encoding a tempo continuo; e (ii) confronto con alcune baseline (GBDT su feature ingegnerizzate, TGAT\/TGN o varianti) e analisi di robustezza a leakage temporale.<\/h5><h5>#dseh #mag_info<\/h5><h6><strong>Contact: matteo.zignani<\/strong>@unimi.it<\/h6><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1026\" class=\"elementor-tab-title\" data-tab=\"6\" role=\"tab\" aria-controls=\"elementor-tab-content-1026\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Indicatori di rischio sistemico basati su reti interbancarie: valutazione comparativa e robustezza in scenari di default<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1026\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"6\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1026\"><h5>La tesi propone di studiare e confrontare indicatori di rischio sistemico costruiti su rappresentazioni a grafo del network interbancario (esposizioni, prestiti interbancari, co-movimenti o proxy di dipendenza). L\u2019obiettivo \u00e8 valutare quali misure di centralit\u00e0 e vulnerabilit\u00e0 (es. degree\/strength, betweenness, eigenvector, PageRank, k-core, controllabilit\u00e0), metriche mesoscopiche (community structure, assortativit\u00e0, rich-club) e indicatori \u201ccontagion-aware\u201d (DebtRank, stress test su percolazione\/cascate, metriche di robustezza) risultino pi\u00f9 informativi e stabili nel predire o spiegare episodi di distress e default a livello di sistema. Il lavoro includer\u00e0: (i) definizione del modello di rete (diretta\/pesata\/temporale, multilayer per tipologia di esposizione), (ii) simulazione di shock e processi di contagio (default cascades con recovery, fire-sales semplificate), e (iii) benchmark quantitativo tra indicatori (capacit\u00e0 predittiva, early-warning, sensibilit\u00e0 a rumore\/missing links, stabilit\u00e0 temporale).<\/h5><h5>#dseh<\/h5><h6><strong>Contact:\u00a0<\/strong>matteo.zignani@unimi.it<\/h6><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\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\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-52ae862 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"52ae862\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-73b395e\" data-id=\"73b395e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9e5b23a elementor-widget elementor-widget-spacer\" data-id=\"9e5b23a\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-98d5f39 elementor-widget elementor-widget-heading\" data-id=\"98d5f39\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">assigned<\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-dfd1633 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"dfd1633\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-f56289b\" data-id=\"f56289b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b2b9e77 elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"b2b9e77\" data-element_type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-user\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Progettazione e sviluppo di un tool per la creazione di scenari di simulazione veicolare - Ferri M.<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-user\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Analisi, progettazione e sviluppo di un servizio di Augmented Direct Control Tele Operated Driving - Cislaghi V.<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-c0f3a5d\" data-id=\"c0f3a5d\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4426025 elementor-widget elementor-widget-toggle\" data-id=\"4426025\" data-element_type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-toggle\" role=\"tablist\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-7141\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"tab\" aria-controls=\"elementor-tab-content-7141\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Machine learning<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-7141\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-7141\"><ul><li>Link prediction in online social networks with contextual information &#8211; Dileo M.<\/li><li>A machine learning approach for transaction prediction in blockchain-based online social networks &#8211; Giustiniano M.<\/li><li>Discrete choice models for network evolution in socio-economic contexts &#8211; Del Treppo M.<\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-7142\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"tab\" aria-controls=\"elementor-tab-content-7142\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Network Evolution<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-7142\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-7142\"><ul><li>Evolution of a decentralized online social network &#8211; Ba C.<\/li><li>Studio dell&#8217;evoluzione di reti sociali basate su blockchain &#8211; Caputo A.<\/li><li><span dir=\"ltr\" role=\"presentation\">WEB3 economic transfer through the lens of graph evolution rules <\/span><span dir=\"ltr\" role=\"presentation\">\u00a0&#8211; Chiatante M.<\/span><\/li><li>Design and development of a python library for temporal networks &#8211; Giussani R.<\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-7143\" class=\"elementor-tab-title\" data-tab=\"3\" role=\"tab\" aria-controls=\"elementor-tab-content-7143\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Financial Network Analysis<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-7143\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-7143\"><ul><li>Graph-based customer segmentation through cashless payment data &#8211; Galdeman A.<\/li><li>Bank risk assessment through customer behavior &#8211; Giussani C.<\/li><li>Analisi delle reti sociali con validazione basata su blockchain: il caso Steemit &#8211; Biondi W.<\/li><li>Segmentazione di profile di spesa digital mediante collaborative-filtering \u00a0&#8211; Della Corna R.<\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-7144\" class=\"elementor-tab-title\" data-tab=\"4\" role=\"tab\" aria-controls=\"elementor-tab-content-7144\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Analytic tools design<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-7144\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"4\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-7144\"><ul><li>Blockchain monitoring tool &#8211; Cucchi M.<\/li><li>Progettazione ed implementazione di un back-end per gli strumenti di analytics di una piattaforma di turismo digitale &#8211; Lodi M.<\/li><li>Progettazione ed implementazione di un front-end per gli strumenti di analytics di una piattaforma di turismo digitale &#8211; Zappal\u00e0 D.<\/li><li>Piattaforma di gestione delle citazioni bibliografiche orientata al crowdsourcing &#8211; Pariotti C.<\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-7145\" class=\"elementor-tab-title\" data-tab=\"5\" role=\"tab\" aria-controls=\"elementor-tab-content-7145\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">User migration<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-7145\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"5\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-7145\"><ul><li>The migration of hubs across blockchain online social networks &#8211; S. Fratarcangeli<\/li><li>Analisi di una rete sociale basata su blockchain durante un evento di biforcazione &#8211; M. Panza<\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Thesis thesis available Communication Networks Deep Reinforcement Learning algorithm for MEC services management L\u2019obiettivo della tesi \u00e8 lo studio e la progettazione in un algoritmo basato su Deep Reinforcement Learning (DRL) per la gestione di risorse MEC a supporto di servizi a bassa latenza. Il lavoro di tesi prevede una fase preliminare di studio delle [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-50","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/connets.di.unimi.it\/index.php?rest_route=\/wp\/v2\/pages\/50","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/connets.di.unimi.it\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/connets.di.unimi.it\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/connets.di.unimi.it\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/connets.di.unimi.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=50"}],"version-history":[{"count":180,"href":"https:\/\/connets.di.unimi.it\/index.php?rest_route=\/wp\/v2\/pages\/50\/revisions"}],"predecessor-version":[{"id":2063,"href":"https:\/\/connets.di.unimi.it\/index.php?rest_route=\/wp\/v2\/pages\/50\/revisions\/2063"}],"wp:attachment":[{"href":"https:\/\/connets.di.unimi.it\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=50"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}