Biography:
Tahmineh Azizi is a highly innovative and accomplished researcher with extensive understanding and more than eight years’ experience of presentations, development of novel models and tools, and computational analysis to quantitatively bridge the gap between in-vitro experiments and in-vivo endpoints. Her research has been directed towards areas including mathematical biology, dynamical systems theory, computational analysis, mathematical modeling, statistical modeling, Neuroscience, epidemiological models, topological data analysis, fractional calculus and fractal geometry, multiscale modeling.
Title : Unraveling cardiovascular dynamics: Kinetic modeling using heart function as an input variable in physiological systems
Title : Application of wavelet leader based analysis to model the heart's electrical activity
Title : Measuring fractal dynamics of FECG signals to determine the complexity of fetal heart rate\On the geometric complexity of chronic heart disease