Visual and data-intensive computing
inginTheVisual and Data-intensive Computing (ViDiC) Sector is active in the research, development, and application of innovative and scalable solutions for acquirong, creating, processing, distributing, exploring, and analyzing complex and/or massive datasets derived from simulations or measurements of phenomena, objects, environments, or real-world processes.
Specifically, our focuses on advancing methods in the following areas.
Main keywords: big data, automation and orchestration, workflows, reproducibility, high-performance computing, and distributed computing.
Main keywords: mathematical modeling, numerical simulation, machine learning, physics-informed networks, demand & response.
Main keywords: Findability - Accessibility - Interoperability - Reusability (FAIR), standardization, semantic modeling, data integration and management, traceability and provenance.
See also[VIC].
Although our work is generally cross-cutting to many application domains, we are particularly active in the fields of biomedicine, precision medicine, andclinical informatics, including digital and computational pathology, digital biobanking, genomics, and in silico modeling of chemical-physical and biological phenomena at the molecular and cellular levels for medical and pharmacological applications. We are also highly active inurban informatics and cultural heritage sciences, particularly in the smart reconstruction of structured environments, shapes and materials, and interactive exploration of complex and annotated models. We also strongly contribute in the fields of imaging and computational geophysics, as well as in the energy and environment fields, with a focus on metereology and climatology, and the forecasting and control of electricity production and consumption in the context of the energy transition. Our activities are primarily conducted within the framework of collaborations with external partners, including international organizations, industries, universities, research centers, research hospitals, museums, and other cultural organizations, with a strong emphasis on public-interest outcomes and the dissemination of knowledge, including through the development of standards and best practices.


