Luca Gagliardelli

Luca Gagliardelli

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Monday, 12 February 2018 17:29

Ricevimento prof.ssa Bergamaschi anticipato

Si avvisa che il ricevimento della professoressa Bergamaschi che avrebbe dovuto tenersi giovedì 15/02/2018, è anticipato a mercoledì 14/02/2018 alle ore 16.00.

Venerdì 15 Dicembre 2017, ore 16,30-18,00, nell'Aula P1.6, il dottore di ricerca Matteo Interlandi, terrà il Seminario:
"Quick Develoment Big Data Analytics Tools"

Abstract: Implementing data processing logic in Data-Intensive Scalable Computing (DISC) systems is a difficult and time consuming effort. Today’s DISC systems offer many special purpose programming models and Domain Specific Languages, but very little tooling for debugging and profiling programs. As a result, programmers spend countless hours in stitching together subprograms written using different APIs, and performing trial and error debugging using log traces as evidences. To aid this effort, in the last years I have help in building a set of tools allowing developers to reduce the overall time to market for their Big Data Analytics. In particular, in this talk I will describe how relational, graphs and machine learning applications can be efficiently run at scale using the tooling I contributed to develop."

Bio: Matteo Interlandi is a Research Scientist in the Cloud and Information Services Lab (CISL) at Microsoft, working on scalable Machine Learning Systems. Before Microsoft, he was a Postdoctoral Scholar in the CS Department at the University of California, Los Angeles. Prior to joining UCLA, he was Research Associate at the Qatar Computing Research Institute and at the Institute for Human and Machine Cognition. He obtained his PhD in Computer Science at the University of Modena and Reggio Emilia under the supervision of Sonia Bergamaschi.

Thursday, 07 December 2017 10:37

Seminario: Big data analytics beyond MapReduce

Venerdì 15 Dicembre 2015, ore 14,00-16,00, nell'Aula P1.6, nell'ambito degli Insegnamenti di Big Data Analysis e Progettazione del Software del Corso di laurea magistrale in INGEGNERIA INFORMATICA, il dottore di ricerca Matteo Interlandi, terrà il  Seminario:


" Big data analytics beyond MapReduce"

Abstract: MapReduce was introduced by Google in 2004. Thanks to its functional programming abstraction and fault-tolerant distributed framework, MapReduce makes easy to write parallel programs. In 2004 MapReduce was mostly used for web indexing; however nowadays we are seeing different type of applications (relational, graphs or machine learning analytics for example) which does not fit well within the MapReduce paradigm. In this talk I will use some research projects I have been working on in the past years to (1) introduce Apache Spark and Apache REEF; (2) describe how relational, graphs and machine learning applications can be efficiently run at scale using such systems; and (3) illustrate system's pros, cons and design choices.

Bio: Matteo Interlandi is a Research Scientist in the Cloud and Information Services Lab (CISL) at Microsoft, working on scalable Machine Learning Systems. Before Microsoft, he was a Postdoctoral Scholar in the CS Department at the University of California, Los Angeles. Prior to joining UCLA, he was Research Associate at the Qatar Computing Research Institute and at the Institute for Human and Machine Cognition. He obtained his PhD in Computer Science at the University of Modena and Reggio Emilia under the supervision of Sonia Bergamaschi.

Tuesday, 05 December 2017 17:42

Inaugurazione Quix

La Prof.ssa Sonia Bergamaschi Bergamaschi ha rappresentato Unimore, delegata dal Magnifico Rettore, all'inaugurazione della nuova sede di Modena di Quix.

On Tuesday, 12nd September, at the social dinner of RTSI 2017, Giovanni Simonini will receive the prize given from IEEE for the best 2016 PhD Thesis.
For more information visit http://www.computersociety.it/ieee-computer-society-italy-section-chapter-2016-phd-thesis-award/

On Wednesday, 13rd September, Giovanni Simonini will presides as a chair the session "Big Data Integration and IoT for Smart Health Care" at the IEEE RTSI 2017.

On Tuesday, 12nd September, Luca Gagliardelli and Giovanni Simonini had presented "SparkER: an Entity Resolution framework for Apache Spark" at the Young Professional event at the IEEE RTSI 2017

On Tuesday, 12 September, Sonia Bergamaschi presided as a chair the session "Services, Applications and Solutions to Challenging Problems in Smart Healthcare" at the IEEE RTSI 2017.

Il Premio CEI – Miglior Tesi di Laurea premierà tre Tesi di Laurea con un riconoscimento pubblico ed ufficiale e l’assegnazione l’assegnazione di un contributo in denaro di 2.000,00 euro per ciascun premiato.

Per maggiori informazioni visitare il sito https://www.ceinorme.it/it/news-main-it/comunicati-stampa/1050-premio-cei-miglior-tesi-di-laurea-ventiduesima-edizione-2017.html

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