Enhancing Secure Processing for Medical Imaging: The UPV Reference Node in EUCAIM скачать в хорошем качестве

Enhancing Secure Processing for Medical Imaging: The UPV Reference Node in EUCAIM

Slides: https://doi.org/10.5281/zenodo.15480851 About the webinar Join us for an insightful webinar on the Secure Processing Environment of the UPV Reference Node in EUCAIM, where we explore how cutting-edge computing technologies are shaping the future of cancer research and medical imaging. EUCAIM (the European Cancer Imaging Initiative) is building a federated infrastructure to enable secure access, processing, and analysis of large-scale medical imaging data across Europe. In this session, Prof. Ignacio Blanquer Espert will present the role of the Universitat Politècnica de València (UPV) reference node in EUCAIM, highlighting how advanced cloud and high-performance computing (HPC) technologies, integrated with EGI services, enable scalable and privacy-preserving medical data processing. The talk will cover: The computational and security challenges of handling sensitive medical imaging data. How federated computing environments support distributed AI-driven cancer research. The role of EGI services in facilitating secure, high-performance data processing. Insights into real-world applications and use cases within the EUCAIM ecosystem. Target Audience This webinar is mainly intended for, but not limited to, researchers, cloud and HPC specialists, AI developers, and medical imaging professionals interested in leveraging secure, scalable, and federated computing infrastructures for biomedical research. Programme 20 min presentation + 25 min demo/tutorial + 15 min Q&A About the presenters Ignacio Blanquer Espert is a Full Professor in Computer Science at the Universitat Politècnica de València (UPV), Spain. With extensive expertise in high-performance and distributed computing, cloud technologies, and data security, his research focuses on enabling advanced computational solutions for biomedical applications, medical imaging, and scientific data processing. He has contributed to numerous European projects, including EUCAIM, the European Cancer Imaging initiative and other medical-imaging related data infrastructures (such as CHAIMELEON and PRIMAGE). He has participated in e-Science and EOSC-related initiatives, and large-scale e-Infrastructure collaborations, where he has played a key role in developing secure and scalable computing environments. Ignacio has published widely in the fields of cloud computing, parallel processing, and e-Health applications. Beyond his research, he actively contributes to the European Open Science Cloud (EOSC) and other initiatives aimed at fostering secure, interoperable, and high-performance digital infrastructures for scientific research.