The UV research groups (GIUV) are regulated in the 1st chapter of the Regulation ACGUV48/2013, which explains the procedure for creating new research structures. They are basic research and organizational structures that result from the voluntary association of researchers that share objectives, facilities, resources and common lines of research. These researchers are also committed to the consolidation and stability of their activity, work in groups and the capability to achieve a sustainable funding.
The research groups included in the previously mentioned Regulation are registered in the Register of Research Structures of the Universitat de València (REIUV), managed by the Office of the Vice-principal for Research and Scientific Policies. The basic information of these organisms can be found in this website.
Participants
Data related to research groups featured in various information dissemination channels shall not, under any circumstances, imply a statement or commitment regarding the employment or academic affiliation of individuals associated with the Universitat de València. Their inclusion is solely the responsibility of the group directors. Updates will be made upon request from interested parties.
- Registered groups in the Register of Research Structures of the Universitat de València - (REIUV)
Reference of the Group:
Description of research activity: The main objectives of the research group are the development of mathematical models for operations research, statistics and dynamic systems. The problems addressed are: optimisation with uncertainty, human resource management, project sequencing, optimisation of hospital processes, efficiency and analysis of the pension system, dynamic optimisation and statistical models in finance.
Web:
Scientific-technical goals: - Desarrollo e implementación de modelos y programas basados en optimización y estadística. Posibilidades de aplicación a la empresa
Research lines: - Dynamic systems.The economic dynamics are analysed taking into account their temporal evolution and procedures for optimal solutions are determined.
- Mathematic optimisation.It addresses optimisation problems when data or constraints contain uncertainty, either stochastic or fuzzy. Efficient algorithms are designed to determine the best sequence in the company's projects. The viability of public pension systems is analysed.
- Statistical models in finance.Different financial data are analysed from a statistical perspective in order to design investment strategies.
Group members:
CNAE:
Associated structure:
Keywords: - FINANCIAL STATISTICS
- FUZZY OPTIMIZATION
- OPTIMIZATION IN HEALTH CARE
- PROJECT SCHEDULING
- PUBLIC FINANCES
- PARTIAL DERIVATIVE EQUATIONS
- DYNAMICAL SYSTEMS
- CONTROL THEORY
