Dr. Halima Bensmail


Senior Scientist
Computational Science and Engineering
+(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

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A Digital Companion

03/02/2016

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Upcoming Events

2016

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Machine Learning and Data Analytics Symposium - MLDAS 2016

Download ICS File 14/03/2016  - 15/03/2016 ,

Machine Learning and Data Analytics Symposium - MLDAS 2016 Building on the success of MLDAS 2015 and MLDAS 2014 , The Third Machine Learning and Data Analytics (MLDAS) Symposium , will be held on ...

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QCRI-MIT CSAIL Annual Meeting 2016

Download ICS File 20/03/2016 ,

Open invitation to attend the annual research project review meeting by QCRI and MIT- CSAIL. Date:  March 20-21, 2016 Time:  8am - 3pm Venue:  Qatar National Convention Centre, Doha, Qatar Room 215-...

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Self-Driving Cars Are Coming - Public Talk by Daniela Rus

Download ICS File 20/03/2016 ,

Abstract: We spend a lot of time in out cars, yet this is a part of our lives where we have been vulnerable to the world's leading cause of bodily harm. Now, the digitization of practically ...

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QCRI Humanitarian Technology Becomes First from the Middle East to Win the Open Source Software World Challenge Grand Prize

07/12/2015

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Qatar Computing Research Institute Welcomes New Batch of Students to Summer Internship Programme

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Dr Farnam Jahanian joins Qatar Computing Research Institute's Scientific Advisory Committee

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