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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Can AI Put An End To Fake News? Don't Be So Sure

07/10/2018

Fake news was the Collin’s word of the year for 2017 with good reason. In a year where politics-as-usual was torn apart at the seams, high-profile scandals rocked our faith in humanity and the ...

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MIT/QCRI system uses machine learning to build road maps

22/04/2018

Map apps may have changed our world, but they still haven’t mapped all of it yet. Specifically, mapping roads can be difficult and tedious: even after taking aerial images, companies still have to ...

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Improving disaster response efforts through data

08/02/2018

Extreme weather events put the most vulnerable communities at high risk. How can data analytics strengthen early warning systems and and support relief efforts for communities in need? The size and ...

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Upcoming Events

2019

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“The Future of Higher Education in the Age of Technological Disruption” by CMU President Dr. Farnam Jahanian

Download ICS File 24/03/2019 ,

Dr. Farnam Jahanian, the President of Carnegie Mellon University, will deliver a public lecture, “The Future of Higher Education in the Age of Technological Disruption” at CMU’s Qatar campus on Sunday, March 24.

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QCRI - MIT CSAIL 2019 Annual Project Review

Download ICS File 25/03/2019 ,

Executive Overview Sessions Open to publi Date: March 25, 2019 Time: 10:15AM - 5:15PM Venue: Hamad Bin Khalia Reseach Complex Multipurpose Room To view agenda, please click here . To RSVP to this ...

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"Learning to See" Public talk by Professor Antonio Torralba (MIT-CSAIL)

Download ICS File 25/03/2019 ,

Visit by Antonio Torralba, who teaches machines to automate tasks that a human visual system can accomplish, is part of annual spring research update between QCRI and MIT-CSAIL.

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News Releases

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QCRI and iMMAP announce Memorandum of Understanding

03/03/2019

Pact aims to apply data analysis and artificial intelligence techniques to solve humanitarian problems.

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UNDP partners with QCRI to use AI for social good

11/02/2019

Qatar forum on leveraging AI to solve humanitarian problems fills to capacity.

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Renowned computing expert C. Mohan to bust blockchain myths in Qatar talk

22/01/2019

Well-known inventor of database recovery algorithms to deliver keynote at QCRI's first blockchain workshop.

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