Universitat Politècnica de València

The Universitat Politècnica de València is a public, dynamic and innovative institution dedicated to research and teaching which, while maintaining strong ties with the community in which it carries out its activities, strives for a strong presence abroad.

It is a young university which celebrated its 50th anniversary during the 2018-2019 academic year. Therefore, it has been here for over half of a century providing uninterrupted teaching.

Its community is currently made up of around 28,000 students, 2,500 teaching staff and researchers and 1,500 administration and service professionals, spread across its three campuses in Alcoi, Gandia and València. The UPV comprises 13 university centres, of which 9 are higher technical schools, 2 are faculties and another 2 are higher polytechnic schools. In addition, it has a Doctoral School and 3 affiliated centres (Florida University, Berklee College of Music and EDEM Business School).

The Institute of Instrumentation of Molecular Imaging (I3M) is a joint centre of the Spanish Research Council and the UPV devoted to research on technological solutions to acquire and process medical images. The Research Group on Grid and High-Performance Computing (GRyCAP) is an ICT research group of the I3M, and develops solutions for facilitating the adoption of cloud technologies in research.

Role of institution in the project

The UPV co-leads Work Package 4, which is dedicated to the building of the Central Node of EUCAIM. It has an as primary role to lead the definition of the architecture, coordinate the deployment of the core services and operate one of the two replicas of the atlas of cancer images.  The UPV will also participate in several other activities dedicated to sustainability, interoperability and processing services.

Ignacio Blanquer

Ignacio Blanquer (M'69) is full professor of the Computer System Department at UPV, has been a member of the Research Group on Grid and High-Performance Computing of the Institute of Instrumentation for Molecular Imaging (I3M) since 1993 and becoming the leader of this group in 2015 and the vice-director of the I3M in 2019. He is currently an elected member of the Board of Directors of the European Open Science Cloud (EOSC) Association and coordinates the Spanish Network of e-Science. He serves as an expert to the Spanish Ministry of Science in e-Science. He is also the Spanish delegate of e-IRG. He has coordinated three European projects on cloud applications to science. He serves as work package coordinator in European projects related to scientific data such as EOSC-SYNERGY, PRIMAGE and CHAIMELEON. He is also a senior researcher in the Biomedical Imaging Research Group at La Fe hospital in Valencia. He has been involved in Parallel Computation and Medical Image processing, participated in more than 60 national and European Research Projects, authored and co-authored 50 articles in indexed journals, and more than 100 publications as book chapters, non-indexed journals and national and international conference proceedings.

José Damià Segrelles Quilis

José Damià Segrelles Quilis received the B.Sc. and Ph.D. degrees in computer science from the Universitat Poliècnica de València (UPV) in 2000 and 2008. He is a member of the Grid and High-Performance Computing research group (GRyCAP) at the Institute for Molecular Imaging (I3M) since 2001. He is also an associate professor at the Department of Computer Systems and Computation (DSIC) at the UPV. He has been involved in Grid and Cloud Technologies and Medical Image processing since eight years and participated in more than 20 Regional, National and European Research Projects. He has co-authored more than 40 papers in international, national conferences and workshops, as well as more than 15 papers in high-impact journals referenced in the Journal Citation Reports (JCR) / Science Citation Index (SCI). He belongs to the ICAPA education research team. He has co-authored more than 15 papers in international, national conferences and workshops related to education.

Pau Lozano

Pau Lozano was born in Gandia, Valencia, Spain in 1985. He received his B.Sc. in Computer Science from Universitat Politècnica de València (UPV) in 2010 and joined the Grid and High Performance Computing research group (GRyCAP) at the Institute of Instrumentation for Molecular Imaging (I3M). He started in the scope of high-performance computing for structural analysis and simulation, and latter migrating that computing to the cloud in a European project (VENUS-C). Since then, he has participated in National and European Research Projects related to cloud computing for science, analysis of big data from IoT devices, medical databases and medical image processing in cloud. In the last year also joined the Biomedical Imaging Research Group (GIBI230) at La Fe hospital in Valencia for a short project in this last scope applied to COVID-19 (AVI-COVID). He is currently the technical responsible person of the CHAIMELEON cloud backend.

Andy S Alic

Andy S Alic got his PhD in Computer Science, speciality in Bioinformatics, from Universidad Politecnica de Valencia (UPV) in 2016. He joined (and is still part of) the Grid and High-Performance Computing research group (GRyCAP) at the Institute of Instrumentation for Molecular Imaging (I3M) the same year as a software engineer. With ample development experience with Java, Javascript, Typescript, C++, SQL, and Python, he is involved on all development levels of an application from the data storage, to backend, and its frontend. His work experience includes roles at startups, traditional companies, and academic entities, with successfully finished projects including an Android application that allowed internet connection through bluetooth and a central device placed on an airplane and connected to ISP satellites, to a HPC workflow that adapted OpenStreetMap data to mobile use, to a specialised fullstack web application to detect mutations in NGS data using a custom workflow, to a web service that traces user actions in a highly regulated medical data repository. His main research interest include, but are not limited to: time management, AI, biology, bioinformatics, software development, finance, and economics.

Join the EUCAIM Consortium

Open Call for New Beneficiaries

We’re inviting new partners to enhance our pan-European infrastructure for cancer images and artificial intelligence.

Whether you’re a data holder with valuable cancer images or an innovator developing AI tools for precision medicine, this is your chance to contribute to a groundbreaking project.

Apply by 10 June 2024!

Attend the Open Call Webinar

We’re hosting a webinar with more details on how to apply to the Open Call on April 26 from 10:00 – 11:30 CEST

Our open Call for new collaborators
launches in April 2024

Opportunities for data holders & AI developers to contribute await! Let‘s join forces to enhance cancer diagnosis and treatment

Be the first to know and apply!

SAVE THE DATE
March 14, 10:00-11:30 aM CET

DISCOVER THE CANCER IMAGE EUROPE PLATFORM

TECHNICAL DEMONSTRATION WEBINAR

Explore the potential for AI-driven cancer care advancements!
Learn how to access and utilize our federated cancer image repository. The webinar is for AI Innovators & Data Providers interested in the platform and will feature an introduction to EUCAIM & Cancer Image Europe and a demonstration of data exploration & access.

Survey Invitation

Join Leading Experts In Shaping AI In Cancer

EUCAIM is looking for your feedback! We have recently published a Stakeholder Survey in order to reach out to potential end-users and stakeholders. We believe that your insights could significantly contribute to understanding the expectations of potential users and identifying the essential aspects that stakeholders find crucial for future engagement and collaboration with the platform.

Therefore, we would like to invite you to participate in the Stakeholder Survey about the Cancer Image Europe platform.

Completing the survey will take approximately 10 minutes. Your participation is crucial to the success of this project, and we deeply appreciate your expertise in shaping the future of cancer imaging and treatment.