Christian Mata Miquel

Christian Mata Miquel is a Lecturer in the Department of Systems, Automatic and Industrial Informatics Engineering at the Barcelona East School of Engineering, part of the Polytechnic University of Catalonia (UPC). He is affiliated with the Institute of Research and Innovation in Health and actively contributes to the BIOCOM-SC (Computational Biology and Complex Systems) research group as well as the ANCORA subgroup focused on cardiac rhythm analysis.

His research interests center around medical imaging, computer vision, and artificial intelligence with specific applications in biomedical engineering. Dr. Mata Miquel's work spans various subfields including medical image processing, neuroimaging analysis, pediatric imaging applications, and computational biology. His research bridges engineering and healthcare, developing computational tools for clinical applications.

Analysis of his recent publications reveals a strong focus on applying deep learning techniques to medical imaging challenges, particularly in neuroimaging and pediatric applications. His work shows consistent progression toward more sophisticated AI methodologies with emphasis on segmentation, enhancement, and diagnostic support systems. The publications span high-impact journals and conferences in medical imaging, computer vision, and biomedical engineering.

• CaixaResearch Institute Fund for the Innovation Hub

Dr. Mata Miquel participates in numerous competitive R&D projects, including the AI-CARdiology Advanced Monitoring cloud-Based platform and the Pediatric Computational Imaging Center at Hospital Sant Joan de Déu. His research collaborations extend across multiple institutions, with significant contributions to wildfire monitoring systems and medical imaging applications. He serves on scientific committees for conferences including the 18th Multi Conference on Computer Science and Information Systems and the 37th IEEE International Symposium on Computer-Based Medical Systems.

His work is conducted through the BIOCOM-SC research group and the ANCORA subgroup, focusing on computational approaches to biomedical problems. Current projects include developing AI-enhanced tools for brain morphometry analysis, prostate cancer segmentation, and pediatric neuroimaging applications, demonstrating the integration of engineering expertise with clinical healthcare needs.