Dr. Marjan Trutschl is a Professor of Computer Science, co-Director of the Laboratory for Advanced Biomedical Informatics at Louisiana State University in Shreveport (LSUS). He received his Sc.D. and M.S. in Computer Science from the University of Massachusetts Lowell (UML).
Prior to joining LSUS, Dr. Trutschl co-founded Anvil, Inc. and worked as a research assistant at the Institute for Visualization and Perception Research, Center for Industrial Competitiveness, and Center for Family, Work, and Community, all at UML. In 2002, he co-founded Laboratory for Advanced Biomedical Informatics (LABi) at LSUS and was named its co-Director in 2007. In 2003, he became Adjunct Assistant Professor of Bioinformatics and Computational Biology at LSUHSC and was named Director of the Biomedical Informatics Core at the Center for Molecular and Tumor Virology at Louisiana State University Health Science - Shreveport in 2008.
Dr. Trutschl has over three decades of software development and research experience. He has or is still participating in research funded by the Genetics Institute (now Wyeth), Millennium Pharmaceuticals, Pfizer, Spacetec IMC (now Logitech), Department of Defense, National Institutes of Health, Louisiana Biomedical Research Network, NASA, and by the U.S. Air Force, just to name a few. His research activities focus on biomedical informatics, scientific and information visualization, high-performance computing, artificial intelligence, and microcontrollers.
Dr. Trutschl has published and presented research in the above-mentioned areas and has funded grants in biomedical research and the integration of technology into the university-level curriculum. He actively participates in organization of international conferences and symposia, as well as serves as a reviewer to numerous international conferences and journals with international circulation.
C.S.R. Kilgore, M. Trutschl, H.W. Nam, A.P. Cornelius, U. Cvek. “Augmented classical self-organizing map for visualization of discrete data.” Chapter in Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery, Studies in Computational Intelligence, 1014. ISBN: 978-3030931186. April 2022.
Cornelius, D. Clark, B. Williams, A. Rogers, A. Popa, P. Kilgore, U. Cvek, M. Trutschl, K. Boykin, A. Cornelius. Cornelius, B. G., Clark, D., Williams, B., Rogers, A., Popa, A., Kilgore, P., Cvek, U., Trutschl, M., Boykin, K., & Cornelius, A. (2021). A retrospective analysis of calcium levels in pediatric trauma patients. International journal of burns and trauma, 11(3), 267–274. June 15, 2021.
Kohli, H. Samant, K. Khan, S. Pandit, K.A. Morgan, U. Cvek, P. Kilgore, M. Trutschl, E. Mijalis, P.A. Jordan, J. Morris, J.S. Alexander. Risk Stratification for Post-ERCP Pancreatitis (PEP): Influence of Procedures, Patient Characteristics and Indicators on Outcome, Pathophysiology, 2021 Feb; 28(1):76-85. https://doi.org/10.3390/pathophysiology28010007.
Disbrow, K.Y. Stokes, C. Ledbetter, J. Patterson, R.A. Kelley, S. Pardue, T. Reekes, L. Larmeu, V. Batra, S. Yuan, U. Cvek, M. Trutschl, P.C.S.R. Kilgore, J.S. Alexander, C.G. Kevil. Plasma Hydrogen Sulfide Bioavailability is a Biomarker of Cognitive Function in Alzheimer’s Disease and Related Dementias. Journal of Alzheimer's & Dementia, the Journal of the Alzheimer’s Association, March 2021. https://doi.org/10.1002/alz.12305.
C.S.R. Kilgore, M. Trutschl, U. Cvek, H. Nam. hSOM: Visualizing Self-Organizing Maps to Accommodate Categorical Data. Proceedings of 24th International Conference Information Visualisation, Sept. 2020.
Kilgore, M. Trutschl, U. Cvek, J.S. Alexander. Improving Comprehension of Large Taxonomic Graphs. Proc. of MediVis2019 - 16th International Conference on BioMedical Visualisation, Paris, France, July 2019, IEEE Computer Society Press.
Morgan, M. Boktor, C. Ford, L. Pham, J.D. Morris, P.A. Jordan, U. Cvek, M. Trutschl, J.S. Alexander. Venous Thromboembolism in IBD: Increased Risk for Women in CD? Pathophysiology; 2019 doi: 10.1016/j.pathophys.2019.03.001.
Kilgore, N. Korneeva, T. C. Arnold, M. Trutschl, U. Cvek. GatewayNet: A Form of Sequential Rule Mining. BMC Medical Informatics and Decision Making. 19(87), doi.org/10.1186/s12911-019-0810-3 (April 2019).
Trutschl, P.C. Kilgore, R.S. Scott, C.E. Birdwell, U. Cvek. Detection and Employment of Biological Sequence Motifs. In B. Wang, R. Li, & W. Perrizo (Eds.) Big Data Analytics in Bioinformatics and Healthcare (pp. 86-116). Hershey, PA: Medical Information Science Reference. doi:10.4018/978-1-4666-6611-5.ch005 (2015).
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