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

2016-present
Post Doctoral Researcher
Data Analytics Group, QCRI

Sep-Dec  2015
Teaching Assistant
KAUST, Saudi Arabia

Jul-Aug 2012
Intern
Texea A&M University, USA

Professional Experience


Professional Associations and Awards


Education

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.
2017

- 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.
2015

- 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.
2012

Connect with me



Follow Us

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

In the Media

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

Yazan Wired story pic.jpg

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 ...

Read More

Upcoming Events

2018

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

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 ...

Read More

Slide1.JPG

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

ahmed pic.JPG

QCRI to launch Center for Artificial Intelligence (Q-CAI)

14/05/2018

Initiative plans to ramp up development of artificial intelligence technologies to position Qatar as a global leader in AI.

Read More

humdata15.jpg

QCRI hosts humanitarian data skills workshop

09/05/2018

Joint event with UNOCHA's Centre for Humanitarian Data, the Qatar Red Crescent Society and Education Above All Foundation held to devise common practices for data use in humanitarian action.

Read More

Majd Interns1.jpg

QCRI welcomes 2018 summer interns

06/05/2018

Projects will include developing a TEDTalk visualization, deep maps, learning from time series sensor data, real-time detection of phishing domains and developing a voice ID speaker recognition system.

Read More