Gjika Meri

Meri Gjika is a PhD student in the Department of Information Engineering at Università Politecnica delle Marche, focusing on cardiovascular signal analysis, cardiac arrhythmias, and machine learning applications in cardiovascular care.

Education:

• Bachelor's in Biomedical Engineering (July 2022), Università Politecnica delle Marche (thesis: impact of asthma on respiratory and electrocardiographic signals, QT interval variations)
• Master's in Biomedical Engineering cum laude (July 2024), Università Politecnica delle Marche (thesis: coronary artery resistance modeling for aortic-root fluid-dynamics and perfusion simulations)

Research: Specializes in analyzing cardiovascular signals to study atrial fibrillation and other arrhythmias, leveraging machine learning and AI to develop predictive models for disease progression and personalized patient management. Her work includes computational hemodynamics and coronary blood flow dynamics through advanced numerical simulations.

Experience: Completed an Erasmus+ internship at the Department of Cardiology, Erasmus Medical Center in Rotterdam (2024), focusing on vascular hemodynamics assessment for disease progression.

Contact: Email m.gjika@pm.univpm.it, Office: Q170_053, Phone: +39 071 2204465.