334 Stokely Management Center

University of Tennessee

Knoxville, TN 37996-0532

Faculty member at the Graduate school of Genome Sciences Technology http://gst.ornl.gov/

• Associate editor for the Journal of Biomedicine and Biotechnology
• Guest Associate editor for the Journal of Psychmetrika
• Reviewer for the National Institute of Health (NIH). 
• Reviewer for the National Science Foundation (NSF).
• Vice-President of the International Council on Biomedicine and Biotechnology
• see the link: http://www.i-council-biomed-biotech.org/
• Guest editor for the special issue of J. Biomed and Biotech.: Data Mining in Genomics and Proteomics.
• Program Committee organizer for the ACS/IEEE international Conference on Computer Systems and Applications (AICCSA-06)
• IQ conference 

Teaching:

•    Stat 320: Regression analysis (Undergraduate level)

•     Stat 583: Principal of Data mining using Statistical tools (Master level and MBA)

•     Stat 578: Categorical Data Analysis (Master level)

•     Stat 201: Business Statistics, concepts and applications (Undergraduate level)

•     Stat 664: Advanced Inferential Statistics: Bayesian (PhD level)

•     Stat 579: Multivariate data analysis (Master level)

•     stat 574: Data mining and statistical tools for pattern recognition (Master and PhD level)

Teaching (Spring 2005)

Teaching (Fall 2004):                                       

 Teaching (Spring 2004)

Research interest:

• Data mining and knowledge discovery.

• Statistical tools for Genomics and Proteomics

• Bayesian analysis

• Clustering and model-based cluster analysis

• Mixture modeling for continuous, mixed data and imputed data

• Multidimensional scaling, Optimal scaling

• Classification and Neural Network.

Some selected publications:

1. Bensmail, H., Buddana A., Semmes O. J. and Haoudi (2005) "A Functional Clustering Algorithm for High Dimensional Proteomics Data". Journal of Biomedicine and Biotechnology. In Press

2. Wang, C. H., Kuo, W, and Bensmail, H. (2005). "Application of Image Processing Techniques and EM Algorithm to Detect Defect Patterns in Wafer Maps". IEEE transactions. Submitted

3. Buddana, A, Bensmail, H and Ostrouchov, G (2005). Steering of Iterative Bayesian Clustering to Uncover Multiscale Structure in Massive Data Sets. Submitted to the Journal of Pattern recognition.

4. Bensmail, H and Bozdogan, H (2004). Bayesian Clustering of Imputed and Mixed Data. Submitted to the Journal of Royal Statistical Society (JRSS).

5. Liu Z., Dechang Chen, Bensmail, H and Ying Xu (2005). Gene Expression Data Clustering with Kernel Principal Component Analysis. Published in Journal of Bioinformatics and Computational Biology (JBCB).

6. Liu Z., Chen D., Bensmail, H., Reifman, J. and Xu, Y (2005) "Gene Expression Data Classification with Kernel Principal Component Analysis." Journal of Biomedicine and Biotechnology (JBB). In press.

7. Bensmail, H A, Semmens, J. and Haoudi, A. (2005). Bayesian Fast-Fourier Transform Based Clustering Method for Proteomics Data. Journal of Bioinformatics. In Press.

8. Kwon, Y. and Bensmail, H. (2004). Bayesian autoregressive-threshold model for forecasting. Statistics department Technical report. Download

9. Bensmail, H. Golek, H. M, Semmes, J. and Haoudi, A. (2004). Fourier-based bayesian clustering for proteomics data. Statistics department technical report, 2004. Download

10. Bensmail, H. and J. Meulman, J.J (2003). Inferences for model-based cluster analysis with noise. Journal of Classification (20), page 49-76. Download

11. Bensmail, H. and Haoudi, A. (2003). Post-Genomics and Proteomics Data analysis: J. Biomed. Biot., 4, 217-230. Download see://jbb.hindawi.com

12. Bensmail, H., and Bozdogan, H. (2004). Adaptive Model-based Kernel Cluster analysis with optimal scaling. Submitted to JASA. Statistics department technical report Download

13. Bensmail, H. Meulman, J.J (2000). Discriminant analysis with optimal scaling. Studies in Classification, Data Analysis, and Knowledge Organization. Springer-Verlag, page 60-67. Download

14. Bensmail, H. Celeux, G. Raftery, A. &  Robert, C (1997). Inference in model-based cluster analysis, Computing and Statistics, 1, N10, pp.1-10. Download

15. Bensmail, H. & Celeux, G. (1996). Regularized discriminant analysis, Journal of the American Statistical Association (JASA), Vol. 91, No 436, pp. 1743-1748. Download

Statistical software produced: 

1. KernDisc: Multivariate Kernel-Discriminant Analysis, University of Tennessee, SPLUS, 2001.

2. KernMix: Multivariate Kernel mixture-model cluster analysis, University of Tennessee,  SPLUS, 2002.

3. Metrounfold: Bayesian Unfolding model via metropolis and Gibbs sampler in Data Theory group, 1999.

4. EDDA: Eigenvalue Decomposition Discriminant Analysis (programmer) in R and S-Plus  (INRIA) 1995.

5. IMBCA1: Inference in Model-Based Cluster Analysis for linear, spherical and proportional covariance matrices in clustering, (Department of Statistics, University of Washington), 1996.

6. PPCD:  Prediction of Prostate Cancer Data (longitudinal data) using Gibbs Sampler, Fred  Hutchinson Cancer Research Center, 1996.     

To read some articles on Clustering, visit this homepage

 www.ece.northwestern.edu/~harsha/Clustering/clus.html 

To view papers on Bayesian analysis, visit this homepage

http://www.stat.rutgers.edu/~madigan/bayes_people.html