Email:

mongarci@ing.uc3m.es

Address:

Department of Biengineering and Aerospace Engineering
Universidad Carlos III de Madrid
Avda. de la Universidad 30 (7.2.H09)
28911, Leganés, Spain

WoS ResearcherID: AAL-5658-2021

Mónica Sevilla García

Postdoctoral researcher, Assitant Professor

Mónica Sevilla García is an Assistant Professor (Ayudante Doctor) and researcher in Biomedical Science and Technology at Universidad Carlos III de Madrid (Spain). She received her B.S. in Audiovisual Systems Engineering in 2014 from Universidad Carlos III de Madrid and her M.Sc. in Computer Vision in 2016 from Universidad Rey Juan Carlos. She completed her Ph.D. in Biomedical Science and Technology in 2022, focusing on the application of computer-aided design (CAD) and computer-assisted surgery (CAS) techniques for complex oncological surgery, integrating 3D printing and surgical navigation to improve clinical outcomes.

 

She has international research experience, including an internship at Johns Hopkins University (Baltimore, USA) in the Department of Computer Science and the Malone Center for Engineering in Healthcare and in the Applied Chest Imaging Laboratory at Brigham and Women’s Hospital (Boston, USA) as a visiting researcher. She also worked as a postdoctoral researcher at Universidad de Las Palmas de Gran Canaria, where she focused on the development of advanced training technologies for clinicians, including virtual reality and tracking systems.

 

Her research is centered on the development and application of advanced technologies for surgical skills assessment and clinical training, combining surgical navigation, tracking systems, 3D printing, and artificial intelligence. Her work is particularly focused on obstetrics and gynecology, while also extending to areas such as oncological, orthopedic, cranio-maxillofacial, and digestive surgery, as well as rheumatology-related applications.

 

In addition to her academic work, she has experience in industry, where she led a team in the development of an AI-based application for cardiac pathology diagnosis using echocardiography.

 

She currently teaches in the Bachelor’s Degree in Biomedical Engineering and in several postgraduate programs, including the Master’s in Machine Learning for Health and the Master’s in Biomechanical Engineering and Medical Devices from Universidad Carlos III de Madrid. Her overall research goal is to enhance both clinical practice and medical training through the integration of emerging technologies.