Biomedical and biotechnological sciences, imaging sciences and computational geophysics, sustainable land use and natural resource management are extremely important for industrial innovation and for economic and social progress.
Computational modeling is a powerful approach used to address these key challenges through the study, simulation and analysis of complex systems. The creation of mathematical models capable of representing the functioning and interactions of various elements within a system, such as a biological organism or a physical system, allows their behavior to be simulated on the computer, enabling researchers and decision-makers to obtain information on system dynamics and explore potential outcomes and interventions.
The research activities of the ASCM sector are focused on several application areas:
- mathematical modeling, numerical simulation, HPC programming on large volumes of data and concurrent orchestration on hybrid HW for the development of innovative industrial applications in the fields of high resolution imaging and computational geophysics;
- mathematical modeling and computational simulation of chemical, physical and biochemical processes and systems as a support tool for the design and optimization of operating variables for the improvement of process efficiency and yield and for related cost reduction;
- mathematical modeling and computational simulation in chemistry, biophysics and life sciences in general, for understanding biological processes, disease mechanisms and drug-biological target interaction, with the aim of collaborating with researchers and medical professionals and helping them in decision making and development of new therapies;
- study and experimentation of innovative solutions and approaches in the pedagogical field, through the improvement of the user experience, adaptive and personalized learning, collaboration and social learning, data and learning analysis.