FISEVI
Academic
Experts in:
Modeling and simulation
- Acoustic or vibroacoustic.
- Multiphysics phenomena.
- Manufacturing processes: injection, stamping, forging, additive manufacturing, etc.
- Processes in the entity or company through event- or agent-based simulation.
Statistics and Big Data
- Statistical advice and data analysis.
- Time series forecasting.
- Elaboration of maps from spatial data.
- Design of experiments, clinical trials.
- Biostatistics, epidemiology.
- Applications in the field of health.
Optimisation
- Process optimisation.
- Stock optimisation.
- Resource optimisation.
- Resource location optimisation.
- Transport route planning.
- Work planning.
- Optimal decision support.
- Optimisation of industrial and business processes.
Artificial intelligence
- Automatic learning.
- Neural networks.
- Deep learning.
- Machine learning.
- Bayesian Networks.
- Development of digital twins.
Computing
- Programming in scientific languages: Fortran, C, C++, Python, Matlab, R.
- Development of graphical interfaces.
- Implementation of commercial and free software packages.
- Data modelling / Databases.
- Use of free software packages.
- Use of commercial software packages.
- Development of software packages.
- WEB applications / technologies.
Areas of experience:
Challenge 1: Health
- Visualisation, processing and analysis of medical images. Characterisation of false positives. Learning models using large databases (machine/deep learning).
- Evolution of demographic rates. Population projections and generation of scenario trees over a time horizon.
- Characterisation of population habits. Simulation of the flow of users by services.
- Optimisation of the planning of the location of primary health care facilities in uncertain environments of the evolution of demographic rates over a time horizon.
- Optimisation of the planning of the provision of health equipment in uncertain environments of the evolution of demographic rates and types and intensity of diseases and epidemics over a time horizon.
- Optimisation of ambulance fleet types: Sizing and location in an uncertain environment of service demand.
- Optimisation of the distribution of health resources, both human and material, in emergency situations.
Challenge 3: Energy
- Forecasting and planning of energy production for domestic or industrial use.
Challenge 5: Environment
- Optimisation of resource use planning in emergencies.
