QUIVIR Research Group
Diagnosis
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Rafael M. Gasca, PhD

Carmelo del Valle, PhD

María Teresa Gómez, PhD

Pablo Neira Ayuso, PhD

Sergio Pozo Hidalgo, PhD

Rafael Ceballos, PhD

Fernando de la Rosa, PhD

Miguel Toro, PhD

Irene Barba, PhD

Diana Borrego, PhD

Ángel Jesús Varela Vaca, PhD

Luisa Parody

Andrés Jiménez Ramírez

Projects

TDiaCO-BPMS (2010)

OPbus (2009)


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Q2Diag - Semiqualitative Diagnosis Group

Q2Diag was formed in year 1992 and is established within theComputer Languages and Systems Department at the Computer Engineering High School of the Seville University, in Spain. In the beginning the main ideas were the reasoning about the qualitative and quantitative information of dynamic systems. The main research team of Quivir group participated in this project participated in several Spanish Ministry of Science and Education funded projects, in order to research in automation of qualitative reasoning in dynamic systems.

Quivir-Q2Diag Research Group has been involved in research, development and implementation of applied computerized systems related to Planning/Scheduling, Optimization and Diagnosis using semiqualitative knowledge.
Another research areas of the Q2Diag Research Group are related to computer science, such as Constraint Databases, Technological Information Systems and Mobile Software Agents. The main activities and research interests of Q2Diag are focused, but not limited to the following topics:

  • Modelling and System Identification. Analysis, simulation, diagnosis of dynamic systems with qualitative and quantitative knowledge, in the application domains of mid and high-end industries.
  • Analysis and Classification of Temporal Behavior Patterns of Semiqualitative Dynamic Systems Holding Constraints. Integration techniques for semiqualitative dynamical systems with applications to real engineering and business models, extraction of information about different behaviors of these systems (either in steady or dynamic regime), classification of behaviors according to some criteria and system identification by means of rules system, system identification models of sensors data.
  • Costraint Programming. Interval constraint satisfaction problems, fault recovery, optimization, planning and scheduling.
  • Internet Applications Using Mobile Software Agents. Research in distributed CSP, optimization and scheduling. Applications to modeling, analysis, simulation and diagnosis with distributed information.
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Page last modified on April 24, 2008, at 09:53 AM