Dr. Jorge-Arnulfo Quiané-Ruiz

JOrge web.jpg
Senior Scientist
Data Analytics
+(974) 4454 2516

Connect with me

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

Connect with me

Follow Us

  • YouTube
  • Twitter
  • Facebook
  • RSS Feed
  • Linkedin
  • github-web.png
Back to Top

In the Media

Forbes fake news pic.jpg

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 ...

Read More

roadtracer.png

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 ...

Read More

Economist story pic.JPG

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 ...

Read More

Upcoming Events

Past Events

2019

MLDAS 2019 Promo Web.JPG

(MLDAS 2019) Machine Learning and Data Analytics Symposium

Download ICS File 01/04/2019  - 02/04/2019 ,

Machine Learning and Data Analytics Symposium - MLDAS 2019 Building on the success of the three previous events , Boeing and QCRI will hold the fifth Machine Learning and Data Analytics Symposium (...

Read More

Torralba.png

"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.

Read More

QCRI CSAIL Logos.JPG

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 ...

Read More

News Releases

QCRI-iMMAP MOU.jpg

QCRI and iMMAP announce Memorandum of Understanding

03/03/2019

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

Read More

UNDP workshop.JPG

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.

Read More

C. Mohan pic.jpg

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.

Read More