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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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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Your sloppy bitcoin drug deals will haunt you for years

28/01/2018

Perhaps you bought some illegal narcotics on the Silk Road half a decade ago, back when that digital black market for every contraband imaginable was still online and bustling. You might already ...

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Upcoming Events

2018

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QCRI Summer Internship Program

Download ICS File 06/05/2018  - 05/07/2018 , Hamad Bin Khalifa Research Complex

Each year, Qatar Computing Research Institute organizes a summer internship program for undergraduate students studying computer science, computer engineering and other disciplines. The internship is unpaid, and QCRI does not provide any visa support.

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Past Events

Regina

Public Talk by Prof. Regina Barzilay "Artificial Intelligence for Oncology: Learning to Cure Cancer from Images and Text"

Download ICS File 27/03/2018 ,

Artificial Intelligence for Oncology: Learning to Cure Cancer from Images and Text A talk by Professor Regina Barzilay, MIT CSAIL Winner of 2017 MacArthur ‘genius grant’ At Education City Student ...

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QCRI & MIT-CSAIL Annual Project Review 2018

Download ICS File 27/03/2018 ,

Executive Overview Sessions Open to public Date:    Tuesday, March 27, 2018 Time:    9:00AM – 3:00PM Venue:  HBKU Research Complex Multipurpose Room To view full agenda, please click here . To RSVP, ...

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News Releases

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QCRI and Turkish scientists to build pre-emptive cyber security platform

10/04/2018

Project to build defensive platform to detect emerging cyberattacks awarded $1.65m grant.

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MIT-CSAIL researchers visit Doha for annual QCRI research meeting

25/03/2018

Meeting updates joint research projects between the two institutions and will feature 'genius grant' recipient Prof. Regina Barzilay, who uses AI to detect cancer, as keynote speaker.

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QCRI’s Advanced Transcription System snares ARC’18 Best Innovation Award

19/03/2018

Her Highness Sheikha Moza bint Nasser presents accolade for system that automatically converts speech to text using state-of-the-art speech recognition techniques.

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