Sara Migliorini

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Migliorini, July 25, 2014
Position
Temporary Assistant Professor
Academic sector
ING-INF/05 - INFORMATION PROCESSING SYSTEMS
Research sector (ERC)
PE6_10 - Web and information systems, database systems, information retrieval and digital libraries, data fusion

Office
Ca' Vignal 2,  Floor 1,  Room 80
Telephone
+39 045 802 7908
E-mail
sara|migliorini*univr|it <== Replace | with . and * with @ to have the right email address.
Curriculum

L'attività di ricerca di Sara Migliorini riguarda i seguenti argomenti:

  • geo-processing: integrazione, gestione e analisi di informazione spazio-spaziale;
  • process-aware information systems: sistemi informativi guidati dalla specifica di modelli di processo; 
  • spatio-temporal reasoning: derivazione di nuova conoscenza spazio-temporale a partire da informazioni memorizzate in una base di dati;
  • big data systems and analytics: studio e sviluppo di sistemi ed algoritmi per l'analisi di grandi quantità di dati;
  • blockchain tecnology: problemi relativi all'emergente tecnologia blockchain con particolare riferimento alla sua applicazione per lo sviluppo di nuovi ed innovativi sistemi informativi. problems related to the emerging blockchain technology and its application to the development of the next generation of information systems.

Le sue pubblicazioni si collocano prevalentemente su conferenze e riviste internazionali di Basi di Dati, Sistemi Informativi e Big Data.

Modules

Modules running in the period selected: 23.
Click on the module to see the timetable and course details.

Course Name Total credits Online Teacher credits Modules offered by this teacher
Bachelor's degree in Computer Science Databases (2023/2024)   12    3  (Tecnologie per le basi di dati)
3  (Laboratorio)
Bachelor's degree in Computer Science Programming I [Matricole dispari] (2023/2024)   12    5  (Teoria)
Master's degree in Computer Science and Engineering Business intelligence (2023/2024)   6    3 
Bachelor's degree in Computer Science Databases (2022/2023)   12  eLearning 3  (Laboratorio)
3  (Tecnologie per le basi di dati)
PhD in Computer Science Doctoral lessons (2022/2023)   50  eLearning 1 
Bachelor’s degree in Communication Studies Documental Information Technology (i) (2022/2023)   6  eLearning 6 
Bachelor's degree in Computer Science Databases (2021/2022)   12  eLearning 3  (Laboratorio)
3  (Tecnologie per le basi di dati)
PhD in Computer Science Introduction to Blockchain (2021/2022)   3  eLearning 3 
Bachelor's degree in Computer Science Databases (2020/2021)   12  eLearning 3  (Tecnologie per le basi di dati)
3  (Laboratorio)
PhD in Computer Science Big Data Systems and Analytics (2019/2020)   5  eLearning 3 
Bachelor's degree in Applied Mathematics C Programming Language (2019/2020)   2  eLearning 2 
Bachelor's degree in Computer Science Programming II and Software Engineering (2019/2020)   12  eLearning 1  INGEGNERIA DEL SOFTWARE (Laboratorio)
Master's degree in Mathematics C Programming Language (2018/2019)   2    2 
Bachelor's degree in Applied Mathematics C Programming Language (2018/2019)   2  eLearning 2 
Bachelor's degree in Bioinformatics Introduction to Programming (2017/2018)   12  eLearning 3  LABORATORIO DI PROGRAMMAZIONE I
Bachelor's degree in Computer Science Databases (2014/2015)   12    3  (Laboratorio)
PAS C310 Industrial IT workshop Sistemi informativi e sicurezza (2014/2015)   3    2  FONDAMENTI
PAS A042 Computer science Sistemi informativi e sicurezza (2013/2014)   6    2  DIDATTICA
Bachelor's degree in Computer Science Programming I (2012/2013)   12    4  (Laboratorio)

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Research groups

Big Data Analytics
This research group deals with several topics regarding the management and analysis of big spatio-temporal datasets.
Blockchain
This research group deals with several topics related to the development and the application of the emerging blockchain technology and the smart contract infrastructure.
INdAM - Research Unit at the University of Verona
We collect here the scientific activities of the Research Unit of Istituto Nazionale di Alta Matematica INdAM at the University of Verona
Research interests
Topic Description Research area
Data intensive scalable computing Analysis, evaluation and design of large scale parallel systems, with particular emphasis on scalable data processing, Big Data systems, and Cloud Computing Information Systems
Information systems applications
Spatial query processing and optimization This research topic deals with the study of new approaches for the specification of spatial queries in geographical applications and the techniques for their execution and optimization. Information Systems
Data management systems
Conceptual modeling of spatial databases This research topic regards the study of new approaches for the conceptual modeling of geographical databases, with particular emphasis on the spatial integrity constraints specification. In cooperation with Politecnico di Milano and with CISIS (Centro Interregionale per i Sistemi Informatici, geografici e Statistici) a new conceptual data model has been defined and used as Italian standard for the conceptual schema of the National Core database. More details about this project and the GeoUML tools can be found at http://spatialdbgroup.polimi.it/. Information Systems
Information systems applications
Sistemi di raccomandazione Studio di tecniche per la progettazione e realizzazione di sistemi di raccomandazione. Information Systems
Information systems applications
Process-Aware Information Systems Process-Aware Information Systems is a research field dealing with the management of business processes by taking into account different aspects. Desing and reengineering of business processes, representation and management of temporal aspects of business processes and conceptual representation of processes and their related data are the some of the possibile topics. Information Systems
Information systems applications
Projects
Title Starting date
Attività nell’ambito del progetto “Fondo Alto Borago (FAB)” 3/17/22
Percorsi digitali veronesi 4/1/21
Semantic mapping of the Italian National Core provided by CISIS to the EU INSPIRE data specification 1/15/20
Soluzioni avanzate per la gestione e la fruizione di dati archeologici del contesto di Rubiera 9/1/19
Soluzioni avanzate per la gestione e la fruizione di dati riguardanti i servizi e le attrazioni turistiche della città di Verona - fase 2 6/22/16
Mapping of the SITAR and NIOBE data models towards the standard CIDOC-CRM-Archeo of the ARIADNE project with data transformation into RDF format 1/14/16
Analisi e revisione del modello concettuale dei dati del sistema SITAR per la realizzazione della mappatura del contenuto informativo di SITAR sugli standard internazionali 11/19/15
uGene - Flexible Meta-framework / CMS web application - Joint Projects 2014 1/1/15
Soluzioni avanzate per la gestione e la fruizione di dati riguardanti i servizi e le attrazioni turistiche della città di Verona 7/22/14
Estrazione tramite analisi statica delle relazioni principali tra codice sorgente e base di dati in software applicativi gestionali (il caso JUST: software QUADRA) 11/30/11
Modellazione, gestione e analisi intelligente di processi clinici temporali (PRIN 2009) 7/15/11
SITAVR- Sistema informativo territoriale archeologico di Verona 1/1/10
Studio di metodologie e sviluppo di strumenti funzionali alla creazione e gestione di Basi di Dati Geografiche (DB geotopografici) da parte degli Enti Pubblici Italiani 4/1/09



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