Resources >‏ Events >‏ Past >‏ Past Details

Past Details

QCRI - IBM Data Science Connect 2016

Date / Time:
16/11/2016 Download ICS File

QCRI–IBM Data Science Connect 2016

 Doha, Qatar

12.30pm –5:30pm, Wednesday, November 16

HBKU Research Complex, Ground Level Multi-Purpose Room
Google Map link to location





12:30pm - 12:45pm


Dr. Ahmed Elmagarmid

& Dr. Jaideep Srivastava

12:45Pm - 01:45pm

Introduction to Cognitive IoT using the IBM Watson IoT Platform, Apache CouchDB, ApacheSpark and the Theano DeepLearning Framework to detect anomal behaviors in chaotic systems


Romeo Kienzler

Chief Data Scientist @IBM Watson IoT, Associate Professor for Data Mining @FHBern, ApacheFlink Contributor

01:45pm - 02:15pm

ML4all: a large-scale and cross-platform machine learning system


Due to the increasing importance of machine learning (ML) in a large number of domains, there is an urgent need to free users from algorithm and system concerns. In this talk, we will present ML4all, a system that frees users from the burden of algorithm selection and low-level implementation details. In particular, our system uses a new abstraction that is capable of solving most ML tasks. It also provides a cost-based optimizer on top of the proposed abstraction for choosing the best gradient descent algorithm in a given setting. Furthermore, ML algorithms can leverage platform-independence and cross-platform execution to boost their performance. In this talk, we will also show how ML4all leverages Rheem, a novel cross-platform framework, to achieve this. Especially, we will show how mixing single-node systems with big data processing platforms can speed up ML algorithms, such as SGD. Combining all these features together, ML4all can achieve orders of magnitude better performance than baseline systems.

Dr. Zoi Kaoudi, Dr. Jorge Quiane Ruiz

02:15pm - 02:45pm


a distributed graph mining system that enables quick and easy development of graph mining algorithms, while providing a scalable and efficient execution engine running on top of Hadoop.

Marco Serafini / Eslam Hussein

02:45pm - 03:15pm

AIDR(Artificial Intelligence for Digital Response): Use case of Tweet Sense disambiguate

Ji Lucas

03:15pm - 03:30pm


03:30pm - 04:30pm

Hands-On Workshop on Cognitive IoT using the IBM Watson IoT Platform and ApacheSpark

Romeo Kienzler

Chief Data Scientist @IBM Watson IoT, Associate Professor for Data Mining @FHBern, ApacheFlink Contributor

04:30pm - 05:00pm

- FAST(Forecast and Analytics of Social Media and Traffic)

a first-of-a-kind scalable platform that produces real-time traffic predictions, including accurate forecasts of the future number of pageviews of an article. We will go through how its architecture & technology

Abdelkader Lattab (FAST)

05:00pm - 05:30pm


Follow Us

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

In the Media

Economist story pic.JPG

Improving disaster response efforts through data


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

Yazan Wired story pic.jpg

Your sloppy bitcoin drug deals will haunt you for years


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 ...

Read More

Luis Luque El Correo.jpg

Entrevista con Luis Fernández Luque, cofundador de Salumedia e investigador del Qatar Computing Research Institute


Si quiere buscar un ejemplo de ciudadano del mundo, de los que al cabo del año vive y trabaja desde numerosos países, y a través de internet, esté donde esté, desarrolla en remoto actividades para ...

Read More



Eman interns pic 2017.jpg

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.

Read More

Past Events


(MLDAS 2018) Machine Learning and Data Analytics Symposium

Download ICS File 12/03/2018  - 13/03/2018 ,

Machine Learning and Data Analytics Symposium - MLDAS 2018 Building on the success of the three previous events , Boeing and QCRI will hold the fifth Machine Learning and Data Analytics Symposium (...

Read More

App Inventor.jpg

QCRI's Creative Space to hold free app inventor workshop

Download ICS File 01/02/2018 ,

QCRI is to offer an introduction to mobile app development workshop for boys and girls aged 13-16. Students will learn the basics of mobile app development using the App Inventor platform. The ...

Read More


AHmed Berlin1.jpg

QCRI signs three-year MoU with the Berlin Big Data Center


MoU will promote collaboration via an exchange of research, academic materials, faculty and research scholars.

Read More

CS Fair website.JPG

Hundreds attend QCRI's first Creative Space Fair


Attendance at inaugural event shows 'buoyant interest' in computing in Qatar.

Read More

QCRI's Ahmed Elmagarmid at MLDAS 2017 (2).jpg

Boeing partners with QCRI to host fifth annual MLDAS


The Boeing Company and Qatar Computing Research Institute (QCRI) will host the fifth annual Machine Learning and Data Analytics Symposium (MLDAS) in Qatar. This year’s event will be held at the Qatar...

Read More