Dr. Abdulhakim Ali Qahtan

Postdoctoral researcher
Data Analytics

Connect with me

Research Focus at QCRI

Abdulhakim Qahtan is currently a Post Doctoral Researcher at Qatar Computing Research Institute (QCRI), Hamad Bin Khalifa University, Qatar. Mr. Qahtan was awarded his PhD degree from the Machine Intelligence & Knowledge Engineering (MINE) Lab at King Abdullah University of Science and Technology (KAUST) in 2016.  He completed his B.S. and M.S. in Computer Science at Cairo University, Egypt (2000) and King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia (2008), respectively. He worked as a teaching assistant at Taiz University, Yemen (2001 – 2003) and a lecturer in KFUPM, Saudi Arabia (2008 – 2010).  

His research interests include:

- Large-scale data discovery

- Data cleaning

Previous Experience

Post Doctoral Researcher
Data Analytics Group, QCRI

Sep-Dec  2015
Teaching Assistant
KAUST, Saudi Arabia

Jul-Aug 2012
Texea A&M University, USA

Professional Experience

Professional Associations and Awards


PhD Computer Science - Dissertation Title: Efficient Estimation of Dynamic Density Functions with Applications in Streaming Data.
King Abdullah University of Science and Technology (KAUST), Thuwal, KSA.  August 2010 - June 2016

M.S. Computer Science - Thesis Title: Implementation and Experimental Performance Evaluation of a Hybrid Interrupt-Handling Scheme.
King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, KSA. September 2003-June 2008

Bachelor in Computer Science (with honors)
Cairo University, Cairo, Egypt.  September 1996-June 2000.

Selected Research

- Fernandez, R., Deng, D., Mansour, E., Qahtan, A., Tao, W., Abedjan, Z., Elmagarmid, A., Ilyas, I. F., Madden, S., Ouzzani, M., Stonebraker, M., Tang, N.
“A Demo of the Data Civilizer System,”, the 2017 ACM SIGMOD Conference (SIGMOD'17), May 14-19, Chicago, IL USA.

- Qahtan, A., Wang, S. and Zhang, X.
“KDE-Track: An Efficient Dynamic Density Estimator for Data Streams,” the IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 29, No. 3, 2017, pp. 642-655.

- Alharbi, B., Qahtan, A., and Zhang, X.
“Minimizing User Involvement for Learning Human Mobility Patterns from Location Traces,” accepted by: the 30-th AAAI Conference on Artificial Intelligence (AAAI’16), February 12-17, 2016, Phoenix, Arizona, USA.

- Qahtan, A., Alharbi, B., Wang, S. and Zhang, X.
“A PCA-Based Change Detection Framework for Multidimensional Data Streams,” In the 21-st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’15), August 10-13, 2015, Sydney, Australia, pp. 935-944.

- Qahtan, A., Zhang, X. and Wang, S.
”Efficient Estimation of Dynamic Density Functions with an Application to Outlier Detection,” In the 21-st ACM International Conference on Information and Knowledge Management (CIKM’12), October 29 - November 02, 2012, Maui, HI, USA, pp. 2159-2163.

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


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


MIT/QCRI system uses machine learning to build road maps


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


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


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


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 ...

Read More


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, ...

Read More

News Releases

Darb Al Saai QCRI 2017.JPG

QCRI to offer kids’ computing activities at this year’s Darb Al Saai


Tech fun and robotics computing activities will be available to children attending the annual family celebration from December 12 to 20.

Read More

Sofiane Abbar in his office.jpg

Global experts in artificial intelligence for transportation to visit Qatar for TASMU-QCAI workshop


Urban computing experts from Europe, the US and Qatar are to discuss state-of-the-art advances in artificial intelligence for transportation with local stakeholders.

Read More

Francisco Martin - Source_TelefonicaOpenFuture_.jpg

QCAI to Conduct Joint Machine Learning School with BigML


Two-day crash course to provide hands-on introduction to machine learning for industry practitioners, developers, graduate students and undergraduates.

Read More