Marcin Kosturمشاهده پروفایل
پژوهشگر
Marcin Kostur is a researcher affiliated with the University of Silesia (ul. 75 Pułku Piechoty 1A, Chorzów, Poland). His research focuses on stochastic processes, Brownian motion, molecular motors, mesoscopic physics, microfluidics, parallel computing, and lattice Boltzmann methods. He has contributed to hemodynamics studies and computational fluid dynamics applications in cardiology. His work spans interdisciplinary areas such as quantum information, nanophysics, and statistical physics. Notable recent projects include AI-driven coronary artery calcium scoring algorithms, deep learning integration with particle swarm optimization, and aortic valve reconstruction in non-contrast CT imaging. He also explores LDL transport mechanisms in arterial walls under hypertension and the impact of flow dynamics on cardiovascular health. His publications highlight contributions to both theoretical frameworks (e.g., Brownian ratchets, fractal tree modeling) and applied medical imaging techniques (e.g., CCTA analysis, CFD-based CAD assessment). Collaborative work includes GPU-accelerated Monte Carlo simulations and open-source tools like the Sailfish lattice Boltzmann method implementation. While no formal awards are listed, his extensive publication record reflects sustained contributions to computational biophysics and medical imaging innovation. His research bridges fundamental physics principles with clinical applications, particularly in cardiovascular diagnostics and fluid dynamics modeling.









