Dr. Gianmarco De Francisci Morales


Scientist
Distributed Systems

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Research Focus at QCRI

My research focuses on scalable data mining. In particular, my interest is in mining the Web by using data-intensive scalable computing systems. As such, my research develops along two main axes: (i) tapping into the Web as a source of data and (ii) dealing with its immense scale. These two aspects combined create what people call “big data”. My goal is to develop new scalable data mining algorithms that take advantage of parallel and streaming solutions.

At QCRI, I am involved in the Arabesque project, a distributed system for large scale graph mining.
I have been working on extending its functionalities to graph search.
More recently, I have started to look at supporting temporal graphs and streaming inputs.

Previous Experience

Previously I worked as a Visiting Scientist at Aalto University in Helsinki, as a Research Scientist at Yahoo Labs in Barcelona, and as a Research Associate at ISTI-CNR in Pisa.

Professional Experience

I am an active member of the open source community of the Apache Software Foundation, working on the Hadoop ecosystem, and a committer for the Apache Pig project. I am also one of the lead developers of Apache SAMOA (http://samoa.incubator.apache.org), an open-source platform for mining big data streams.

I serve on the PC of several major conferences in the area of data mining, including WSDM, KDD, CIKM, and WWW. I co-organize the workshop series on Social News on the Web (SNOW, http://snow-workshop.org), co-located with the WWW conference.

Professional Associations and Awards


Education

I received my Ph.D. in Computer Science and Engineering from the IMT Institute for Advanced Studies of Lucca in 2012.

Selected Research


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In the Media

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People remain calm as the world ends, video game study suggests

28/03/2017

As the world ends, will you lock arms and sing “Kumbayah” or embark on a path of law-breaking, anti-social behavior? A new study, based upon the virtual actions of more than 80,000 players of the ...

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Computer vision research aims to identify overweight people from social media face photos

16/03/2017

Researchers from MIT and the Qatar Computing Research Institute have developed a novel new facility in the current rush of interest towards computer vision – an algorithm that can identify overweight...

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Algorithm can create a bridge between Clinton and Trump supporters

20/02/2017

A growing number of people have expressed their concern about high levels of polarization in society. For instance, the World Economic Forum's report on global risks lists the increasing societal ...

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Upcoming Events

Past Events

2017

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QCRI-MIT CSAIL Annual Research Project Review 2017

Download ICS File 27/03/2017 ,

The QCRI – MIT CSAIL Annual Research Project Review is open to the public on Monday, March 27, 2017, at the HBKU Research Complex Multipurpose Room. The annual meeting is a highlight of a ...

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MLDAS 2017

(MLDAS 2017) Machine Learning and Data Analytics Symposium

Download ICS File 13/03/2017  - 14/03/2017 , Qatar National Convention Centre

Machine Learning and Data Analytics Symposium - MLDAS 2017 Building on the success of the three previous events , Boeing and QCRI will hold the Fourth Machine Learning and Data Analytics Symposium (...

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Women in Data Science

Download ICS File 03/02/2017 ,

Here's a great chance to learn about the latest data science-related research in multiple domains, as part of a global project. Qatar's WiDS event will be held here at the HBKU Research Complex on ...

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News Releases

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QCRI summer 2017 internship applications open

11/03/2017

The Qatar Computing Research Institute, part of Hamad bin Khalifa University, has announced that applications for its summer internship program have opened. The internships are being offered to ...

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MIT-CSAIL's Patrick Winston: 'AI is not a threat'

05/03/2017

Artificial intelligence expert tells Qatar audience that humans should not consider AI to be a major threat to their existence but should use it to enhance it.

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Boeing Partners with QCRI for fourth annual Machine Learning and Data Analytics Symposium (MLDAS)

09/02/2017

The Boeing Company has announced that it will once again partner with the Qatar Computing Research Institute (QCRI), part of Hamad bin Khalifa University, to host the fourth annual Machine Learning ...

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