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Research Interests
Complex dynamical systems and nonlinear dynamics
Complex dynamical behavior can emerge even in seemingly simple systems. Nonlinear interactions can give rise to oscillations, traveling waves, spiral patterns, and chaotic dynamics. Understanding how such patterns arise, evolve, and disappear is a central question in nonlinear dynamics.
My research focuses on the mathematical principles underlying these phenomena, particularly in excitable systems such as cardiac tissue. By combining theoretical analysis, mathematical modeling, and numerical simulations, I investigate how nonlinear interactions, stochasticity, and feedback mechanisms influence the emergence and stability of dynamical patterns. I aim to uncover the fundamental mechanisms that govern complex dynamics and explore how these can be used to understand and control cardiac rhythm disorders.
Related Publications:
Fundamental arrhythmia insights
Arrhythmias represent a significant health burden worldwide, contributing to morbidity and mortality across diverse patient populations. While considerable progress has been made in understanding the mechanisms underlying arrhythmias, significant gaps persist in our knowledge, hampering the development of effective therapeutic strategies.
My research endeavors to address these gaps by uncovering novel fundamental insights into arrhythmia pathophysiology, with the ultimate goal of informing the development of innovative diagnostic tools and targeted interventions.
Related Publications:
Optogenetic applications
Optogenetics has emerged as a revolutionary technique in cardiovascular science, enabling precise control over cardiac activity with unprecedented spatiotemporal resolution using light-sensitive proteins. Optogenetics holds immense potential beyond the realm of the heart, particularly in the development of bio-electrical applications across various biological systems.
My research is dedicated to advancing the frontier of optogenetics by exploring its applications in cardiac cells and tissues, with a focus on bio-electrical phenomena. By harnessing the principles of optogenetics, I aim to develop innovative approaches for modulating and manipulating electrical signaling in diverse biological contexts.
Related publications:
Digital twins (older research topic)
Cardiac digital twins represent a paradigm shift in cardiovascular healthcare by providing a personalized, dynamic, and comprehensive model of an individual's heart function. In recent years, advancements in computational modeling, medical imaging, and data analytics have propelled the development of cardiac digital twins, offering a powerful tool to understand, predict, and manage cardiovascular diseases.
My research focuses on leveraging cutting-edge ionic models to accurately replicate the physiological characteristics and pathological conditions of the human heart. My aim is to create highly personalized digital replicas capable of simulating cardiac function under diverse scenarios.
Related publications:
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