Fiona Malone

Fiona Malone is a Lecturer in the Department of Mechanical & Industrial Engineering at the University of Galway, Ireland, where she also serves as a Principal Investigator for both the Engineering Research Group (ERG) and the Medical and Engineering Technologies Gateway (MET). Her research bridges mechanical engineering principles with medical applications, focusing on cardiovascular mechanics and stroke-related phenomena.

Dr. Malone's research interests center on the intersection of biomedical engineering and cardiovascular mechanics, with particular emphasis on embolism, atrial fibrillation, and aortic arch hemodynamics. She employs patient-specific modeling approaches to investigate blood flow patterns and emboli trajectory paths under various physiological conditions. Her work combines experimental in vitro studies with computational methods to better understand stroke mechanisms and develop potential interventions.

Analysis of Dr. Malone's publications reveals a consistent focus on cardiovascular biomechanics with increasing integration of machine learning techniques in recent years. Her earlier work concentrated on mechanical characterization of embolus analogues and hemodynamics in patient-specific models, while her more recent publications incorporate computational methods like gradient boosting algorithms to address class imbalance problems in medical data analysis.

Dr. Malone has achieved significant recognition in her field with an h-index of 78 according to Scopus metrics. Her publications have garnered citations across multiple disciplines, demonstrating the interdisciplinary impact of her research.

As a Principal Investigator, Dr. Malone leads research initiatives within the Engineering Research Group and the Medical and Engineering Technologies Gateway. Her collaborative network spans multiple institutions and disciplines, with frequent co-authorship with researchers specializing in both engineering and medical fields. Her research has practical implications for understanding stroke mechanisms and developing improved diagnostic and therapeutic approaches.