Sandro Fiore, Ph.D. Email & Phone Number

Trento, It

Trento, Trentino-Alto Adige, Italy

Associate Professor at the Department of Information Engineering and Computer Science of the University of Trento where he leads the High Performance Climate Informatics Laboratory (HPCI Lab). His research activity focuses on data science and learning, scientific data management, big data and artificial intelligence applied to climate change in extreme-scale HPC and cloud environments.Taught courses on:- High Performance Computing for Data Science (1st semester)- Software Engineering (2nd semester)

Trento, Trentino-Alto Adige, Italy

Lecturer at the School of Innovation of the University of Trento.Taught modules on:- Basics of Data Science- Data Governance- Data Science in Action- Business Analytics

Lecce, Apulia, Italy

Taught Course on Computer Science (2019-2020), Bachelor Degree Course on Biological Sciences, Department of Biological and Environmental Sciences and Technologies at the University of Salento, Lecce (Italy).

Lecce Area, Italy

Taught Course on Big Data (2019-2020), Bachelor Degree Course on Digital ManagementDepartment of Economics Science at the University of Salento, Lecce (Italy).

Lecce Area, Italy

The activities include supervision and coordination of the Data Science Research Unit, a team of 10 people working on the design and implementation of innovative data science solutions aiming at accelerating knowledge discovery in the climate change domain.

CMCC representative in the Data Task Force (DTF) of the European Network for Earth System Modelling (ENES). The ENES DTF aims to advise and represent the ENES Board on all issues relevant to data infrastructure necessary to support and exploit earth system simulation in Europe.

Lecce Area, Italy

• Scientific responsible for CMCC of the following research projects: EUBRAZILCC, CLIPC, INDIGO-DataCloud, EUBra-BIGSEA, BARRACUDA.• Research on high performance data management, big data analytics and cloud computing. Two key projects: - EUBra-BIGSEA (www.eubra-bigsea.eu/): responsible for the design of a big and fast data analytics platform for smart cities based on Spark (and MLlib), Kafka/Storm, HDFS, and Ophidia. Implementation of descriptive and predictive models. - INDIGO-DataCloud https://www.indigo-datacloud.eu/): design of a cloud-based, big data analytics environment for parallel, server-side data analysis (time-series based) of multi-terabytes climate datasets based on Ophidia (https://www.gitbook.com/book/indigo-dc/ophidia/).• Contribution as Scientific Data Management expert in the Weather, Climate and solid Earth Sciences Working Group of the European Extreme Data & Computing Initiative (EXDCI) project (https://exdci.eu/). The activity includes developments of scientific roadmap regarding extreme data and computing towards exascale in Europe. • Since 2010, Principal Investigator of the Ophidia big data analytics framework (www.ophidia.cmcc.it) a research effort on High Performance Data Analytics and Mining for eScience (https://github.com/OphidiaBigData and https://www.youtube.com/user/OphidiaBigData).

Lecce Area, Italy

Supervision and coordination of the scientific & technical activities carried out in the Advanced Scientific Computing (ASC) Division of the Euro-Mediterranean Center on Climate Change (CMCC), along with management, planning, financial and fund raising tasks.The Division currently ran 14 projects at national and European level, it was organised in 4 Research Units with a total of 15 people.

Lecce Area, Italy

• The activities included supervision and coordination of the Scientific Data Management Research Group (CMCC ASC Division), a team of about 5 people working on the design and implementation of open source solutions addressing efficient access, analysis and mining of scientific data.• Main architect of the Ophidia big data analytics framework.

Lecce Area, Italy

• Contribution to the design and implementation of large-scale data management solutions (access/analysis/processing), preparation of deliverables and presentation of results, in the following European projects: IS-ENES2, EUBRAZILCC, ORIENTGATE, and CLIPC.• Use of parallel paradigms (MPI/OpenMP) to design in-memory datawarehouse solutions for fast data analysis on top of relational (MySQL) and NoSQL (MongoDB) Databases. • Lead developer of the ESGF-Dashboard module (https://github.com/ESGF/esgf-dashboard), a software component to infer statistics regarding the usage of climate data by ESGF users. It builds on a distributed datawarehouse (ROLAP on top of PostgreSQL) approach, a collector module and several data marts to provide multiple insights from different perspectives on hundreds of millions of data downloads across the ESGF federation.• Contribution as Scientific Data Management Expert in the European Working Group on Weather, Climate and solid Earth Sciences in the European Exascale Software Initiative (EESI2 - http://www.eesi-project.eu/). In the project 150 experts have shared common issues, built a vision and produced recommendations to lead research for efficient Exascale applications.

Lecce Area, Italy

Support activity to the Head of the Advanced Scientific Computing Divisions concerning both the monitoring of the proper implementation of the scientific activities and the coordination of the scientific staff. The activity also has included financial and organizational aspects, planning activities and human resources management at the level of the Division.

Greater Chicago Area

Working at the University of Chicago (Department of Computer Science and the Globus Lab) on High Performance Data Analytics for climate change research at scale

Livermore

The main activity carried out at PCMDI/LLNL has been related to the design and implementation of a large-scale data warehouse system for the analysis of climate data (CMIP5 experiment) as new back-end of the ESGF Dashboard. The new features have been included into the ESGF v1.6.0 release.

Livermore, Ca (Usa)

The main activity carried out at PCMDI/LLNL has been related to the design and implementation of a datawarehouse back-end for the ESGF Dashboard to analyse the CMIP5 data download information.

Lecce Area, Italy

Taught Courses (Master Degree) on Data Mining, Database Systems and Parallel Computing as lecturer at the Engineering Faculty of the University of Salento (Italy):• Parallel Computing II (2004-2005) • Database Systems (2005-2006) • Database Systems (2006-2007) • Database Systems (2007-2008) • Parallel Computing II (2008-2009) • Data Mining (2009-2010) • Data Mining (2010-2011) • Data Mining (2011-2012)

Lecce Area, Italy

Contribution to the Enabling Grids for E-Science in Europe (EGEE) project regarding the deployment procedure of the LGC middleware on IA64 platforms (HP). Active participation to the activities of sites certifications and sites monitoring at national level (Italian Grid Initiative).

Livermore, Ca (Usa)

The main activity carried out at PCMDI/LLNL has been related to the extension of the data node component to support proactive distributed monitoring in the ESGF architecture.

Lecce Area, Italy

The main research activities performed at CMCC focused on distributed data and metadata management (development of the Grid Relational Catalog - GRelC software) and Science Gateways applied to different scientific domains (climate, bioinformatics). Grid middleware: Globus and gLite; Metadata engine based on PostgreSQL/MySQL/SQLite and XML DBs; metadata standards: ISO19139 and ISO19115.

National Scientific Qualification (Associate Professor)

Habilitated (from 26/07/2018) as Associate Professor in Computer Engineering (ING-INF05) by the Ministry of Education, University.

Ph.D., Computer Science, Excellent

Ph.D. Thesis: “The GRelC Project: towards the definition of a Grid-DBMS” at the Istituto Superiore Universitario di Formazione.

Msc, Computer Engineering, Full Marks With Honors

Thesis on the "Parallelization of a QCD algorithm with Message Passing Interface" at the Engineering Faculty of the University of Lecce.