PARETOINVEST

ParetoInvest is an advanced software tool for optimizing multi-objective portfolios using bio-inspired algorithms. Based on the jMetal framework, it integrates evolutionary metaheuristics and real-time financial data from the US market. It also offers flexible data management and export for external analysis, making it useful for researchers and financial professionals.

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MO-GENECI

Gene regulatory networks (GRNs) allow for the modeling of key gene interactions and the understanding of biological processes and diseases, but current methods exhibit biases and poor integration of biological knowledge. This text proposes a novel preference-guided selection mechanism integrated into the multi-objective evolutionary algorithm MO-GENECI to improve GRN inference. Evaluated on 43 reference networks and real-world data, the approach improves quality and accuracy (AUROC and AUPR) and reduces computational cost. The results surpass the state of the art, demonstrating the effectiveness of combining expert knowledge with evolutionary algorithms.

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TITAN

Frameworks for Big Data Analytics as workflows.

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CARMEN

Verification and diagnosis of the specification of security requirements in cyber-physical systems.

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ProyectoKosmos

The code generated by this project will be accessible at our GitHub Organization.

Khaos Research Group

The Khaos research group of the University of Malaga focuses its research activity on the management, integration and analysis of data and Big Data. It works at the intersection of technologies related to large-scale data management and integration, W3C data standards, data analytics technologies, optimization with meta-heuristics and for Big Data analysis. It emphasizes the application of research results to real problems, especially in health and agrifood. Within the previous context, the current research proposal focuses on the exploitation of domain semantics in the algorithms and workflows of Big Data analysis.

Lucentia Research Group

The Lucentia Research Group, headed by Juan C. Trujillo, focusses its main research on application and business solutions and more specifically on Business Intelligence solutions (BI). The Lucentia Group can be considered as both a national and international reference in business intelligence applications which is clearly demonstrated by the high number of publications in journals indexed JCR of high impact and CORE A conferences, design tools, relationships with various research groups and participation in various public and private projects.

GSyA Research Group

The main objective of the GSYA group is to research on different aspects related to the security and auditing of information systems, contributing to the improvement of teaching in Computer Engineering and providing solutions to the sector's industry.The GSYA group is formed by professors of the Department of Information Technologies and Systems of the University of Castilla-La Mancha and is based at the Escuela Superior de Informática de Ciudad Real, where it has an R&D Laboratory.