Assistant Professor

Department of Computer Science, LSU Shreveport

Contact Information:
Email: mtrutsch@lsus.edu
Office Phone: 318- 797-5131

Laboratory Phone: 318-795-4274
Office Fax: 318-795-2419

Education/Training:

Sc.D., Computer Science, 2002, University of Massachusetts Lowell

M.S., Computer Science, 1997, University of Massachusetts Lowell

B.S., Computer Sciencee, 1994, Louisiana State University Shreveport

Major Research Interests:  

Biomedical informatics, scientific and information visualization, cluster and distributed computing, neural networks, data mining

Physical and natural sciences, instruments, biomedical and other scientific research generate large amounts of high-dimensional data. This not only creates the need for the analysis of the data and interpretation of results, but also the need for the development of tools and methods that can handle these data. Tools for the data analysis are used not only in the hypothesis generation or exploratory analysis stage (where we try to find patterns, outliers, and other meaningful domain-specific insights), but also when looking for answers for these hypotheses. Many techniques are graphical in nature, such as scatter plots and histograms, but many of them can only represent two variables at a time. We address these issues by creating novel neural network and visualization techniques through cluster computing-enabled integration.

Representative Publications:

Intelligently Resolving Point Occlusion, M. Trutschl, G. Grinstein, U. Cvek, Proc. of the IEEE Symposium on Information Visualization, October, 2003. (peer reviewed manuscript)

Interpolating Analytic Visualizations, M. Trutschl, G. Grinstein, U. Cvek, Proc. of the SPIE 2004 Conference on Visualization and Data Analysis, San Jose, CA, January, 2004. (peer reviewed manuscript)

Application of Machine Learning and Visualization of Heterogeneous Datasets to Uncover Relationships between Translation and Developmental Stage Expression of C. elegans mRNAs, M. Trutschl, T. Dinkova, R. Rhoads, Physiol. Genomics, 21:264-273, 2005.

Translation initiation factor eIF4G-1 binds to eIF3 through the eIF3e subunit, A.K. LeFebvre, N.L. Korneeva, M. Trutschl, U. Cvek, Roy D. Duzan, C.A. Bradley, J.W. B. Hershey, R.E. Rhoads, J. Biol. Chem. Vol.281, No.32, pp.22917-22932, 2006.

Retinoids and skin: microarrays shed new light on chemopreventive action of all-trans retinoic acid. S. B. Cheepala, Z. Syed, M. Trutschl, U. Cvek, J. L. Clifford. Molecular Carcinogenesis, 2007.

2D and 3D Neural-Network Based Visualization of High-Dimensional Biomedical Data, U. Cvek, M. Trutschl, J.C. Cannon, R.S. Scott, R.E. Rhoads, Proc. of the Symposium on Information Visualization in Biomedical Informatics, 11th  International Conference on Information Visualization, Zurich, Switzerland, July, 2007. First two authors equally contributed to this publication. (peer reviewed manuscript)