Research Areas

As a result, from the research lines developed, not only have scientific articles been published in highly relevant international journals and conferences, but also open-source software projects have been generated for use by both the research community and businesses. The group has extensive experience in both European and national research projects, as well as regional ones.

Data Science and Engineering

Artificial Intelligence

Applications of Software Technologies

Data Science and Artificial Intelligence

The aim of this area is to contribute to exploiting the interactions between data science and engineering techniques with artificial intelligence methods (metaheuristics and machine and deep learning) towards explainable decisions, and to propose new techniques and methodologies in fields such as optimization.

Research Topics

  • Scalability of data management and processing.

  • Real-time data processing and management of unstructured data.

Research Topics

  • Data profiling.
  • Data representation.
  • Data acquisition.
  • Data preservation.
  • Data quality.
  • Data veracity.
  • Data integration.
  • Semantic annotation.
  • Semantic reconciliation.
  • Semantic integration.
  • Semantic reasoning.
  • Metadata, context, and domain semantics.

Research Topics

  • AutoML.
  • Machine Learning as a Service.
  • Scalable Machine Learning.
  • Ensemble Learning,
  • Feature Engineering.
  • Predictive Modeling, Prescriptive Modeling, Explainable, Reliable, and Ethical.
  • Machine Learning.
  • Visualization.
  • Natural Language Processing.
  • Hyperparameter Tuning.

Research Topics

  • Optimization and Machine Learning.
  • Multidisciplinary Optimization.
  • Multi-objective Optimization.
  • Large-Scale Optimization.
  • Memetic Computing, HPC, and Big Data Optimization.
  • Automatic Metaheuristic Configuration and Design.

Applications of Software Technologies and Software Engineering

Contributing to the fundamentals, tools, and best practices in inherent security necessary for all types of (critical) infrastructures, deployments, and modern scenarios from initial design to final configuration, validation, and production. All orchestrated by different security services (including privacy and trust) as building blocks. This area also aims to understand, develop countermeasures, and share information about threats that currently undermine users, industries, and administrations.

Research Topics

  • Crop Monitoring.
  • Crop Yield Prediction.
  • Satellite/UAV Product/Image Analysis.
  • Remote Sensing. Near Detection.
  • Smart Irrigation.
  • Plant Disease Control.
  • GIS/Web Visualization.
  • Land Use Mapping.
  • Plant Image
  • Characterization.

Research Topics

  • Reliable Artificial Intelligence.
  • Federated Learning for Healthcare Solutions.
  • Patient-centric Solutions.
  • Health Image Analysis.
  • Gene Regulatory Networks.
  • Scientific Workflow Management.
  • FAIR Data.
  • Biological Sample Analysis.
  • Biological Network Analysis.
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