Christian Mata

Assistant Professor

Department of Automatic Control (ESAII)

Universitat Politècnica de Catalunya (UPC)

Escola d'Enginyeria de Barcelona Est (EEBE)

Avinguda Maristany

Tel._ +34-93-413-7214



Futur UPC

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Short CV


2021-2023: Postgraduate in University Teaching in Science, Technology, Engineering, Architecture, and Mathematics (STEAM). Universitat Politècnica de Catalunya, Barcelona (Spain)

2010-2015: PhD in the Advanced Physics program. PhD thesis title: Propagation of waves in excitable media under spatio-temporal forcing. Department Structure and Constituents of Matter, University of Barcelona.

2008-2009: Master Erasmus Mundus in Computer Vision and Robotics (VIBOT). Universitat de Girona (Spain), Heriot-Watt University (Scotland), Université de Bourgogne (France)

2004-2007: Degree on Computer Sciences. Universitat de Girona (UdG), Spain.


2023-present: Assistant Professor at the Automatic Control Department (ESAII), Universitat Politècnica de Catalunya, EEBE, Barcelona (Spain)

2012-present: Vacataire Professor at Faculty of Medicine, Université de Bourgogne (France).

2016-2023: Adjunct Professor at the Automatic Control Department (ESAII), Universitat Politècnica de Catalunya, EEBE, Barcelona (Spain)


2022–2023: Postdoctoral research contract. Toward a treatment guided by pathophysiology (SPIOMET4HEALTH_PCOS), funded by Hospital Sant Joan de Déu, Barcelona

2021–2022: Postdoctoral research contract. Node d’imatge computacional pediàtrica (PEDIATRIC_ICON), funded by Hospital Sant Joan de Déu, Barcelona

2020–2021: Postdoctoral research contract. Análisis computacional del impacto de riesgos genéticos y clínicos en la señalización molecular y disfunciones electrofisiológicas en fibrilación auricular, SAF2017-88019-C3-3-R - Análisis de datos multiescala en cardilogía traslacional funded by ANCORA, Universitat Politècnica de Catalunya (UPC).

2016–2020: Postdoctoral research contract. Wildland-Urban Interface VIrtual Essays Workbench, Validación de la capacidad predictiva de herramientas CFD en el análisis del riesgo de escenarios, funded by CERTEC, Universitat Politècnica de Catalunya (UPC).

2015–2016: Postdoctoral research contract. En Instrumentation et Informatique de l’Image. Laboratoire d'électronique et d'informatique de l'image (LE2I). Université de Bourgogne, Dijon (France).

Research Interests

Medical Image Processing

It has a strong interest in the application of image processing techniques to medical imaging, including segmentation, classification, and registration methods. Leveraging advanced algorithms and computational approaches, it aims to enhance the quality, accuracy, and efficiency of diagnostic procedures. With expertise spanning image processing, medical imaging, and registration techniques, it is committed to developing innovative solutions that improve patient care, enable early disease detection, and support personalized treatment strategies. By integrating these various techniques, it seeks to drive advancements in medical imaging and contribute to better healthcare outcomes.

Artificial intelligence

It is deeply interested in the application of artificial intelligence (AI) across various sectors, especially in healthcare. Utilizing advanced AI algorithms, including generative graph neural networks (GNN), it aims to create innovative solutions for image analysis, pattern recognition, and intelligent diagnostics within medical imaging. With its expertise in AI, it seeks to enhance diagnostic procedures, facilitate object detection, and improve image classification tasks. Additionally, a focus on interpretability ensures that these AI models can provide transparent and understandable insights. It is also exploring AI applications for surgery to improve surgical precision and outcomes. Its ultimate goal is to harness these state-of-the-art technologies to enhance healthcare outcomes, enable early disease detection, optimize data analysis, and advance surgical practices through AI, medical imaging, and interpretable AI methodologies.

Medical Informatics and Telemedicine

Medical informatics harnesses technology to enhance healthcare through improved data management, streamlined communication, and innovative solutions. It encompasses Electronic Health Records (EHRs) for centralized patient information, telemedicine for remote consultations, advanced analytics for research and personalized medicine, interface applications for user-friendly access, medical architectures for system integration, and anonymization techniques to protect patient privacy. These tools empower healthcare providers to make informed decisions, optimize patient care, and improve outcomes effectively and securely.