UNIVERSITY OF WISCONSIN River Falls

Varghese, Tony

Tony Varghese

Tony Varghese

Professor - College of Business and Economics

Start Year: 2002

Computer Science and Information Systems
Office: 127c South Hall
Phone: 715-425-3335

Email: anthony.varghese@uwrf.edu

Education:

Ph.D. University of Minnesota, Minneapolis, MN, Biomedical Engineering, 1992
M.S. University of Minnesota, Minneapolis, MN, Electrical Engineering, 1987
B.S. University of Wisconsin Platteville, Platteville, WI, Electrical Engineering, 1983

Courses Taught:

Dr. Varghese has taught classes that use C#, Python, Smalltalk and Ada among other languages.

Research Interests:

Dr. Varghese's research involves the simulation of biological systems, specifically cellular electrophysiology. He uses the tools of Mathematical Modeling, Numerical Methods for Differential Equations, and High-Performance Computing to address research problems in the area of Cellular Electrophysiology. With the help of numerous collaborators in academia and industry, he also uses the techniques of Cell culture, Immunochemistry, and Molecular Biology: PCR, siRNA. He started using C++ and Java as soon as they were available and developed object-oriented code for a startup named Physiome Sciences while in the UK in the 1990s followed by stints developing code at Medtronic Inc. and Endocardial Solutions Inc. (now part of St Jude Medical).

Publications:

Articles in Journals

 

Varghese, A. (2016). Reciprocal modulation of IK1-INa extends excitability in cardiac ventricular cells. Frontiers in Physiology, 7, 542. http://journal.frontiersin.org/article/10.3389/fphys.2016.00542/full

Varghese, A., Spindler, A. J., Paterson, D., Noble, D. (2015). Rate Dependent Activation Failure in Single Cells and Tissue due to Na Channel Block. American Journal of Physiology, 309(10), H1753–H1763.

Zhao, J. T., Hill, A. P., Varghese, A., Cooper, A. A. , Swan, H., P&#Ä;IVI. J-LAITINEN, MARK I. REES, JONATHAN R. SKINNER, TERENCE FORSBLOM. CAMPBELL, and JAMIE I. J, (2009). Not All VANDENBERG Pore Domain Mutations Have a Severe Phenotype: G584S Has an Inactivation Gating Defect with Mild Phenotype Compared to G572S, Which Has a Dominant Negative Trafficking Defect and a Severe Phenotype. Journal of Cardiovascular hERG, 20, 923-930.

 

 
Through Visual Paradigm Academic Partner Program, University of Wisconsin-River Falls is granted license for modeling software - VP-UML, Logizian for educational use.