Dr. Halima Bensmail


Senior Scientist
Data Analytics
+(974) 4454 0195
Leadership is the most important factor that attracted me to QCRI. Need for creativity is the second factor. Innovation is a very important factor at QCRI. At QCRI we are being challenged continuously, we have been asked to think big. We are supposed to do research with applications that are of great impact, nationally and internationally.

Research Focus at QCRI

Halima is working broadly on statistical machine learning, applied it to medical areas for research that is referred to as: machine learning in Bioinformatics.

Most importantly, Halima is focusing on:

  • Use of machine learning for genetic mapping,
  • Bayesian approach to Quantification of metabolites related to diseases such as diabetes.
  • Covariance matrix robustness in graphical models and networks
  • Topology of causal network.
  • Nonlinear statistical analysis in NeuroImages.

Previous Experience

Halima Bensmail is an Associate Professor of Mathematics at the University of Tennessee and an adjunct faculty member at ORNL. She received her PhD in Mathematics and statistics from the University of Jussieu and INRIA in December 1995. She holds a BS degree in Mathematics from University of Science, Rabat and a MS degree of Mathematics and statistics from the University of Jussieu, Paris, France. She spent one year at the University of Washington, one year at the Fred Hutchinson cancer research center and two years at the Data Theory center, at the University of Leiden, the Netherlands. She advised five PhD students and over 20 Master students in different field of mathematical and computational sciences.

Professional Experience

  • University of Virginia Medical School, Biostatistics and Bioinformatics, Associate Professor, 2006
  • University of Tennessee, Statistics, Operations and management Sciences Department, Associate Professor, 2005
  • Oak Ridge National Laboratory, Adjunct faculty member, 2003
  • University of Tennessee, Statistics, Operations and management Sciences Department, Assistant Professor, 2000-2004
  • Data Theory Center, University of Social and Behavioral Sciences, Leiden, Netherlands, Scientist, 1997-2000
  • Fred Hutchinson Cancer Research Center Seattle, USA, Post-doc, 1996 -1997
  • University of Washington, Statistics Department, Seattle, USA, Research Associate, 1995-1996

Professional Associations and Awards

Awards:
  • Qatar Annual Research Forum Award for best research subject in computing, Doha 2011.
  • Nominated and finalist for best researcher and teaching junior faculty member, Knoxville, 2005.
  • Best junior researcher award by IFCS (International Federation for Classification society), Rome, 1997.
Membership

Education

  • PhD: Mathematics and Statistics, Paris 6 and INRIA (Paris - Rocquencourt), 1995.
  • MS: Mathematical Modeling, Paris 7, Paris, France, 1991.
  • BS: Mathematics, University of Sciences, Rabat, 1989.

Selected Research

  • Jing-Yang and Bensmail, H.  2013:  Cross-Domain Sparse Coding.  CIKM 2013.
  • Jing-Yang and Bensmail, H. 2012: Selecting and Weighting Visual Words Jointly for Bag-of-Features based Tissue Classification. BMC Bioinformatics.
  • Liu, Z and Bensmail, H. 2012: Phenotype Prediction and Feature Detection with Linear Programming and Metagenomics Count data. Plos One.
  • Liu, Z and Bensmail, H. 2012: Efficient Feature Selection and Multiclass Classification with Integrated Instance and Model based Learning.Journal of Evolutionary Biology.
  • Bensmail, H., Anjum, S., Bouhali, O. and Elanbari, M. 2012: RAFNI: Robust Analysis of Functional NeuroImages with nonnormal-stable error, in LNCS: Lecture Notes in computer science, Vol. 7663, subseries: Theoretical computer Science and General Issues.
  • Kwon, Y, Bozdogan, H. and Bensmail, H. 2009: Performance of Model Selection Criteria in Bayesian Threshold VAR (TVAR) Models. Econometric Reviews, Vol. 28 (1-3), pp. 83-101.
  • Bensmail H, Golek J, Moody MM, Semmes JO, Haoudi A. 2005: Bayesian Fast-Fourier Transform Based Clustering Method for Proteomics Data. Bioinformatics, 21(10), pp. 2210-24.
  • Bensmail, H. Celeux, G. Raftery, A., Robert, C. 1997. Inference in Model-Based Cluster Analysis. Journal of Computing and Statistics, 1, N10, pp.1-10.
  • Bensmail, H. & Celeux, G. 1996. Regularized Discriminant Analysis. Journal of the American Statistical Association (JASA), Vol. 91, No 436, pp. 1743—1748

Follow Us

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

In the Media

ingredients CSAIL.jpg

Artificial intelligence suggests recipes based on food photos

25/07/2017

There are few things social media users love more than flooding their feeds with photos of food. Yet we seldom use these images for much more than a quick scroll on our cellphones. Researchers from ...

Read More

Newsweek logo.png

How did Donald Trump win? WikiLeaks, Twitter helped president beat Hillary Clinton, study shows

16/07/2017

A signature catchphrase, a heavy push for jobs,  his son-in-law’s digital operation  and a blowhard, braggadocios style of speech ultimately handed President Donald Trump the White House on Election ...

Read More

Dacier pic1.jpg

Cyber security experts advise caution after attacks

16/05/2017

Cyber security experts in Qatar and the region have advised caution and not to access any emails or other information from unknown sources, following the recent wave of cyber attacks across the world...

Read More

Upcoming Events

2017

Summer Camp 2.jpg

QCRI to conduct first summer computing camps for kids

Download ICS File 16/07/2017  - 27/07/2017 ,

Children and teenagers will be given a rare chance to develop their computing skills with world-class computing scientists at the first summer computing camp to be conducted by the Qatar Computing ...

Read More

Past Events

CS 1.jpg

QCRI’s Creative Space holds Open House event for kids

Download ICS File 20/05/2017 ,

The Qatar Computing Research Institute’s new Creative Space, which conducts fun activities to teach children computing skills, has successfully held its first Open House event. About 100 children ...

Read More

Slide1.JPG

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 ...

Read More

News Releases

Majd interns ex-irina (2).jpg

QCRI’s summer internship program kicks off

07/05/2017

The Qatar Computing Research Institute’s 2017 summer internship program is underway. This year’s program involves computer science and computer engineering students from Carnegie Mellon University, ...

Read More

EMan pic for internships (2).jpg

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 ...

Read More

Slide1.JPG

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.

Read More