Armen Kherlopian

Cardiac arrhythmia is the disruption of the normal electrical rhythm of the heart and is a leading cause of mortality around the world. To study aspects of arrhythmogenesis, mathematical models of cardiac myocytes and tissues have been effectively employed to investigate cardiac electrodynamics. However, among individual myocytes there is great phenotypic variability that is dependent on factors such as source location in the heart, genetic variation, and even different experimental protocols. Thus, established models for cardiac myocytes, which are based on experimental data acquired for tightly constrained situations, are often untuned to a particular phenomenon under investigation. Due to the large parameter space in cardiac myocyte models, global search heuristics can be employed to tune models for specific applications, thereby furthering their utility in arrhythmogenesis research. We are taking this approach and seek to account for relationships between ionic conductances and myocyte behavior over a wide range of excitation regimes.

Kherlopian AR, Song T, Duan Q, Neimark MA, Po MJ, Gohagan JK, Laine AF. A Review of Imaging Techniques for Systems Biology. BMC Systems Biology 2008, 2:74. (Highly Accessed)

Wallisch P, Lusignan M, Benayoun M, Baker T, Dickey A, Hatsopoulos N. MATLAB for Neuroscientists: An Introduction to Scientific Computing. Elsevier Publishing 2008. (Contributor)

Kherlopian AR, Victor JD. Long-Range Connectivity, Event-Driven Networks, and Complex Stimuli: Next Steps in Visual Cortex Modeling. Vincent du Vigneaud Symposium 2008. (Excellence in Research Award)

Kebejian LM, Kherlopian AR, Azoumanian K, Maguire J. A Cross-Regional Analysis of Child Health Inequities in Armenia. UMB Global Health 2007.

Kherlopian AR, Gerrein JP, Yue Minerva, Kim KE, Won J, Sukumaran M, Sajda P. Electrooculogram based system for computer control using a multiple feature classification model. IEEE Engineering in Medicine and Biology Society 2006: 1295-1298. (International Design Finalist)

Kherlopian AR, Laine AF. Imaging the Virtual Cell. 250th Anniversary of Columbia University - Biomedical Engineering Symposium 2004.

Kherlopian AR, Gerrein JP, Kumar R, Rodriguez J, Wu V, Wald A. MedfoLink: A Powerful Concept-Based Approach to Medical Report Processing. IEEE NC Biotechnology and Bioinformatics 2004: 83-84. (Best Student Paper Award)

Gerrein JP, Kherlopian AR, Wu V, Berman MF, Wald A. MedfoLink: Bridging the Gap between IT and the Medical Community. IEEE Computational Society of Bioinformatics 2003: 656-657.