I am a PhD candidate and researcher in Biophysics, Medical Physics, and Medical Imaging, specializing in biomedical signal processing and artificial intelligence for healthcare applications. My research focuses on the development of advanced computational methods for the analysis and interpretation of physiological signals, particularly electrocardiography (ECG), impedance cardiography (ICG), and electroencephalography (EEG). By integrating digital signal processing, machine learning, and deep learning, I develop intelligent approaches for the detection, classification, and computer-aided diagnosis of cardiovascular and neurological disorders, with a particular emphasis on valvular heart diseases and epilepsy. My goal is to design accurate, non-invasive, and clinically relevant diagnostic tools that improve diagnostic performance and support evidence-based clinical decision-making. My research lies at the intersection of physics, biomedical engineering, computer science, and medicine, with the aim of advancing AI-driven healthcare technologies and contributing to precision medicine through interdisciplinary and translational research.