Fabio Benedetti

Fabio Benedetti
Personal Data
Place and Date of Birth:
Address:
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email:
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Pavullo nel Frignano (MO), Italy | 20 November 1985
Via San Felice 22, 40122 Bologna, Italy
+39 3391321589
[email protected]
Linkedin - DBgroup - GitHub - Google Scholar
Work Experience
15/11/2016 - Current
Research a Development - Data Scientist at Unipol Sai
My job comprehends design and development of data centric prototypes for improving the business processes inside our group. These prototypes involve scalable infrastructures, given the high volume of data, machine learning techniques, and the use of
innovative ways of data visualisation.
01/10/2016 - Current
Contract Professor at University of Modena and Reggio Emilia
“Database principles” (Computer Engineering - Bachelor Degree)
01/01/2013 - 15/11/2017
Teaching assistant at University of Modena and Reggio Emilia
“Database principles” (Computer Engineering - Bachelor Degree)
“Advanced Database Technologies” (Computer Engineering - Master Degree)
01/01/2013–14/11/2016
Ph.d on ICT and Postdoctoral Fellow at University of Modena and
Reggio Emilia
My research topic were Linked Open Data and Big Data. In these years I worked on
LODeX, a tool able to automatically provide a high level summarization of a LOD dataset
and a powerful visual query interface to support users in querying the dataset through a
Web Application. During my Ph.d, I also cultivated my passion for Data Science, Data Manipulation, Statistics and Data Analysis following classes and working with real Datasets
and realizing small projects.
As postdoctoral fellow I am develloped novel techniques of inter-document similarity
and Information Retrieval leveraging information contained in Knowledge Graphs.
08/08/2011 - 14/11/2016
Computer systems designer and analyst at Datariver S.r.l, Modena
Internship 08/08/2011 to 27/11/2011 - Collaborator 30/11/2012 to 14/11/2016
www.datariver.it
During my internship I reengineered an existing application called RTM, used by the
cancer registry of the province of Modena. I used Talend, an ETL software, to migrate
the existing Database from Microsoft SQL Server to Postgres. After that, I developed the
infrastructure of the new Web Application using the J2EE stack. In particular, I used
these libraries and tools: Maven, Hibernate, Spring and GWT.
As collaborator I’m contributing in the development and customization of OpenClinica,
an Open Source Java Web Application used for managing clinical trials.
15/05/2015–01/12/2015
Research Visitor at Kno.e.sis research center, Dayton (OH), USA
knoesis.org
I spent a period abroad as a research visitor at the Ohio Center of Excellence in
Knowledge-enabled Computing (Kno.e.sis) at Wright State University. During this period I developed a new technique called Context Semantic Analysis for estimating the
similarity between document leveraging information contained in Knowledge Bases and
I worked in a project where we used Spark for analyzing traffic sensor data.
09/08/2012 - 30/11/2012
Business Intelligence at Doxee S.P.A., Modena
www.doxee.com
In Doxee I worked in the Quality Assurance department. My primary task was the development of reports, using Pentaho for the visualization and standard SQL for extracting
data from Oracle Databases. During my collaboration I also solved some Data Integration problems using the platform Pentaho Data Integration as back-end of the reporting
system.
Education
July 2014
Web Science Summer School, Southampton University, Southampton, (UK)
The School has been characterized by mixture of invited talks and tutorials on several aspects
of data science, including data analytics, data publishing and interlinking, social media management, Open Data, and crowd-sourcing.
July 2012
Master degree on Computer Engineering
Department of Engineering “Enzo Ferrari”, Modena
Thesis: “Reingegnerizzazione di un framework per la gestione ed analisi di dati clinici
nella forma di applicazione web database”
April 2007
Bachelor degree on Computer Engineering
Department of Engineering “Enzo Ferrari”, Modena
Thesis: “Sviluppo di applicazioni Web attraverso il framework Ruby on Rails”
Publications
• Benedetti, F., Bergamasch, S. and Po, L., 2014. A visual summary for linked open data
sources. In Proceedings of the 2014 International Conference on Posters & Demonstrations Track-Volume 1272 (pp. 173-176).
• Benedetti, F., Bergamaschi, S. and Po, L. 2014. Online index extraction from linked open
data sources. In Proceedings of the Second International Conference on Linked Data
for Information Extraction-Volume 1267 (pp. 9-20).
• Beneventano, D., Bergamaschi, S., Sorrentino, S., Vincini, M. and Benedetti, F., 2015.
Semantic annotation of the CEREALAB database by the AGROVOC linked dataset. Ecological Informatics, 26, pp.119-126.
• Benedetti, F., Bergamaschi, S. and Po, L., 2015. LODeX: A tool for visual querying linked
open data. In International Semantic Web Conference (Posters & Demos).
• Benedetti, F., Bergamaschi, S. and Po, L., 2015. Visual querying LOD sources with LODeX.
In Proceedings of the 8th International Conference on Knowledge Capture (p. 12). ACM.
• Benedetti, F., Bergamaschi, S. and Po, L., 2015. Exposing the underlying schema of LOD
sources. In 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) (Vol. 1, pp. 301-304). IEEE.
• Benedetti, F., Bergamaschi, S., Orsini, M., and Magnotta, L., 2015. Integrazione di dati
clinici con il sistema MOMIS. Volume: “Strumenti, diritti, regole e nuove relazione di
cura. Il paziente europeo nell’eHealth”. G. Giappichelli Editore - Torino.
• Benedetti, F. and Bergamaschi, S., A model for visual building SPARQL queries SEBD, 2016
(pp. 19-30).
• F Benedetti, D Beneventano, S Bergamaschi, Context Semantic Analysis: a knowledgebased technique for computing inter-document similarityInternational Conference on
Similarity Search and Applications, 164-178.
Certificates and Specialization Courses
M101J: MongoDB for Java Developers - M101P: MongoDB for Developers
Data Science - Coursera Computer Science & Engineering University Of Washington
Health Informatics in the Cloud - Coursera Georgia Institute of Technology
Machine Learning Stanford University on Coursera
Statistical Learning - Stanford Online Course
EdX Verified Certificate for Scalable Machine Learning with Spark
Learning Python for Data Analysis and Visualization
Deep Learning on Udacity
Functional Programming Principles in Scala
Languages
Italian:
English:
Mothertongue
Fluent
Job Related Skills
Languages:
Databases:
Web Application:
GUI:
Data science Python:
Big Data:
Java (high), Python (high), Javascript (high), Scala (basic), R (basic)
SQL (MySQL, Postgres), NoSQL (MongoDB), Graph Database (NEO4J, Virtuoso),
Indexing (Elasticsearch, Lucene)
J2EE, Spring, Hibernate, GWT, Tomcat, Django, Tornado
JQuery, Polymer & Web Components, D3.js,HTML5 (basic), CSS (basic)
Pandas, Scikit-learn, Numpy, Seaborn, Matplotlib, Networkx, Scipy
Spark, PySpark, Hadoop (basic)
Interests and Activities
Technology, Open-Source, Programming, Reading
Squash, Running, Traveling
Updated 25/03/2016