Elisa Quintarelli

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foto Elisa Quintarelli, February 13, 2023
Position
Full Professor
Academic sector
IINF-05/A - Information Processing Systems
Research sector (ERC-2024)
PE6_10 - Web and information systems, data management systems, information retrieval and digital libraries, data fusion

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 163B
Telephone
+39 045 802 7852
E-mail
elisa|quintarelli*univr|it <== Replace | with . and * with @ to have the right email address.

Office Hours

Friday, Hours 10:00 AM - 11:00 AM,   Ca' Vignal 2, Floor 1, room 1.63C

Curriculum

Elisa Quintarelli's research interests have included graph-based databases, representing and querying semistructured databases, customizing and integrating data in context-driven distributed databases, design of context-aware databases and applications such as recommendation systems.
She has recently become interested in the ethical issues inherently involved in data analysis techniques.

Elisa Quintarelli is Associate Editor for the Data Science and Engineering Journal; she has been, and is, a reviewer of international journals (e.g., VLDB Journal, Information Systems, DKE) and a member of the Program Committees of several prestigious international conferences. 

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 Programming I [Matricole pari] (2024/2025)   12  eLearning 6  (Teoria)
4  (Laboratorio)
2  (Esercitazioni)
Master's degree in Computer Engineering for Robotics and Smart Industry Data warehouse and integration (2024/2025)   6  eLearning 6 
Bachelor's degree in Languages and literatures for publishing and digital media Databases and Information Systems for the Humanities (2023/2024)   6  eLearning 6 
Bachelor's degree in Computer Science Programming I [Matricole pari] (2023/2024)   12  eLearning 8  (Teoria)
4  (Laboratorio)
Master's degree in Computer Engineering for Robotics and Smart Industry Data warehouse and integration (2023/2024)   6  eLearning 6 
PERCORSO 60 CFU CLASSE A041 Progettazione didattica: programmazione e ingegneria del software (2023/2024)   1    0.5  (A)
Bachelor's degree in Computer Science Programming I [Matricole pari] (2022/2023)   12  eLearning 8  (Teoria)
4  (Laboratorio)
Master's degree in Computer Engineering for Robotics and Smart Industry Data warehouse and integration (2022/2023)   6  eLearning 6 
Master's degree in Data Science Programming and database (2021/2022)   12  eLearning 6  (Database)
Bachelor's degree in Computer Science Programming I [Matricole pari] (2021/2022)   12  eLearning 8  (Teoria)
Master's degree in Computer Engineering for Robotics and Smart Industry Data warehouse and integration (2021/2022)   6  eLearning 3 
Master's degree in Data Science Programming and database (2020/2021)   12  eLearning 6  (Database)
Bachelor's degree in Computer Science Programming I [Matricole pari] (2020/2021)   12  eLearning 2  (Laboratorio)
8  (Teoria)
Master's degree in Computer Engineering for Robotics and Smart Industry Data warehouse and integration (2020/2021)   6  eLearning 6 
Bachelor's degree in Computer Science Programming I [Matricole pari] (2019/2020)   12  eLearning 4  (Laboratorio)
8  (Teoria)
Bachelor's degree in Computer Science Programming I [Matricole dispari] (2018/2019)   12  eLearning 4  (Laboratorio)
8  (Teoria)

Di seguito sono elencati gli eventi e gli insegnamenti di Terza Missione collegati al docente:

  • Eventi di Terza Missione: eventi di Public Engagement e Formazione Continua.
  • Insegnamenti di Terza Missione: insegnamenti che fanno parte di Corsi di Studio come Corsi di formazione continua, Corsi di perfezionamento e aggiornamento professionale, Corsi di perfezionamento, Master e Scuole di specializzazione.

Research groups

Big Data Analytics
This research group deals with several topics regarding the management and analysis of big spatio-temporal datasets.
Big Data, Data Science and Process Mining
Research interests
Topic Description Research area
Context and Ethics Aware Data Integration and Management In the era of big data and semantically rich information, integrating data from diverse sources while customizing it for high-quality, context-aware applications, such as recommender  systems, has become essential. This approach ensures that these applications meet functional requirements and align with ethical standards and user expectations. Information Systems and Data Analytics
Data management systems
Sistemi di raccomandazione Studio di tecniche per la progettazione e realizzazione di sistemi di raccomandazione. Information Systems and Data Analytics
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 including ethical issues. Desing and reengineering of business processes, representation and management of temporal aspects of business processes and conceptual representation of processes together with ethical properties and their related data are the some of the possibile topics. Information Systems and Data Analytics
Information systems applications
Projects
Title Starting date
Novel Methodologies and Tools for Next Generation Cyber Ranges - NOMEN 5/21/24
Design and development of a relational databasefor a production plant of lithium cells and related interfaces to manage and analyze historical data 7/18/23
Percorsi digitali veronesi 4/1/21
FA&AF L'Agricoltura del Futuro e gli Alimenti Funzionali: una sfida per la ricerca e il rilancio del territorio veneto 9/10/20
Computer Engineering for Industry 4.0 1/1/18



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