Dr. Jorge-Arnulfo Quiané-Ruiz

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Senior Scientist
Data Analytics
+(974) 4454 2516

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I joined QCRI because the institution offers unique and great opportunities for scientists to realize their research ideas.

Research Focus at QCRI

The main focus of Jorge's research at QCRI is infrastructure and algorithms that allow performing data analytics on a large scale. Jorge is also researching for new ways of storing and accessing big data sets to enable scalable data analytics.

Previous Experience

Before joining QCRI, Jorge was a research associate at the Information Systems Group at Saarland University working with Jens Dittrich. At Saarland University, Jorge's research interests were mainly on big data management and he was part of the Hadoop++ project. Prior to moving to the University of Saarland, he worked as a research engineer at INRIA, where he worked with Patrick Valduriez and Philippe Lamarre. He obtained his Ph.D. degree in computer science from the University of Nantes, France. During his Ph.D., Jorge's research interests were mainly in distributed data management.

Professional Experience

  • Research Associate: Information System Group, Saarland University (2009 – 2012)
  • Research Engineer: INRIA-Rennes (2008 – 2009)
  • Research Assistant: INRIA and University of Nantes (2004 – 2008)

Professional Associations and Awards

  • Reviewer for multiple conferences (VLDB, SIGMOD, ICDE, EDBT, ...)
  • Awarded the highest honor in the M.Sc. Program at the Centre for Computing Research at the National Polytechnic Institute of Mexico

Education

  • Ph.D. in Computer Science, University of Nantes, France, 2008
  • M.Sc. In Networks and Distributed systems, Joseph Fourier University, France, 2004
  • M.Sc. in Computer Science, National Polytechnic Institute, Mexico, 2003

Selected Research

  • Alekh Jindal, Jorge-Arnulfo Quiané-Ruiz, Jens Dittrich. WWHow! Freeing Data Storage from Cages. To appear at CIDR 2013.
  • Jens Dittrich, Jorge-Arnulfo Quiané-Ruiz, Stefan Richter, Stefan Schuh, Alekh Jindal, Joerg Schad. Onyl Aggressive Elephants are Fast Elephants. PVLDB 5(11): 1591-1602, July 2012.
  • Jorge-Arnulfo Quiané-Ruiz, Christoph Pinkel, Joerg Schad, Jens Dittrich. RAFTing MapReduce: Fast Recovery on the Raft. ICDE, pages 589-600, 2011.
  • Jens Dittrich, Jorge-Arnulfo Quiané-Ruiz, Alekh Jindal, Yagiz Kargin, Vinay Setty, Joerg Schad. Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Witouth It Even Noticing). PVLDB 3(1): 518-529, September 2010
  • Joerg Schad, Jens Dittrich, Jorge-Arnulfo Quiané-Ruiz. Runtime Measurements in the Cloud: Observing, Analyzing, and Reducing Variance. PVLDB 3(1): 460-471, September 2010

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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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