Dr. Halima Bensmail


Senior Scientist
Computational Science and Engineering
+(974) 4454 0195

Connect with me

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

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In the Media

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Twitter Data Mining Reveals the Origins of Support for Islamic State

26/03/2015

QCRI research studies the pre-Islamic State tweets of people who end up backing the organization paints a revealing picture of how support emerges.

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QSTP programmes boost Qatar's capacity to create commercial technologies

15/03/2015

Doha - Qatar, 15 March 2015: Qatar Science & Technology Park (QSTP), part of Qatar Foundation Research and Development (QF R&D), recently hosted a special edition of its acclaimed TECHtalk series. ...

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Boeing, QCRI announce speakers for symposium

07/03/2015

Boeing and Qatar Computing Research Institute (QCRI), a member of Qatar Foundation, have announced the speaker line-up for the Second Annual Machine Learning and Data Analytics Symposium (MLDAS) that...

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Upcoming Events

2015

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4th International Conference and Exhibition on Metabolomics & Systems Biology

Download ICS File 27/04/2015  - 29/04/2015 ,

Metabolomics is an emerging field which combines strategies to identify and quantify cellular metabolites using sophisticated analytical technologies with the application of statistical and ...

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24th International World Wide Web Conference

Download ICS File 18/05/2015  - 22/05/2015 , Florence, Italy

The annual World Wide Web Conference is the premier international forum to present and discuss progress in research, development, standards, and applications of the topics related to the Web. WWW ...

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The 3rd International Workshop on Social Web for Disaster Management (SWDM'15)

Download ICS File 18/05/2015 , Florence, Italy

Co-located with the WWW'15 conference (May 2015, Florence, Italy). Proceedings published by ACM. QCRI's Dr Carlos Castillo is co-organizer.

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News Releases

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Head of Qatar Computing Research Institute Recognised for Contributions to Advancing Science

26/02/2015

Doha, Qatar, 25 February 2015 — Dr Ahmed Elmagarmid, Executive Director of Qatar Computing Research Institute (QCRI), a member of Qatar Foundation for Education, Science and Community Development, ...

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Qatar Computing Research Institute and Boeing Bring Top Machine Learning and Data Analytics Experts to Qatar

01/02/2015

Second annual symposium to highlight new approaches to valuable data extraction, provide students with insight into machine learning

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Families Visit Qatar Foundation's Tent at Darb El-Saai National Day Celebrations

11/12/2014

Fun Filled Activities Designed To Raise Awareness Of Local Culture And The Foundation’s Many Initiatives

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