The Big Data Applications and Data Analysis Group
- Accelerating applications on clouds and HPC
- Graph processing
- Astronomy image processing and object detection
- Satellite-based image processing
- Smart grids
- Hybrid processing on clouds, IoT, and HPC
- Mixing GPUCPU, edge devices, and clouds for optimizing execution of large scale distributed applications
- Scheduling algorithms for distributed systems
- Optimal and suboptimal heuristics with energy, cost and execution constraints
The Computational and Applied Mathematics Group
- Qualitative and quantitative aspects of Dynamical Systems (time-delayed systems, impulsive systems, fractional-order systems)
- Simulation of fractional-order systems using HPC
- Analysis of nonlinear and chaotic phenomena in: fractional-order neural networks models, complex-valued neural networks
- Applications of the theory of dynamical systems to: medicine, neuroscience, aerodynamics, economy
The Applications of Machine Learning in Earth Observation Group
- Application of advanced computational techniques for Earth Observation problems
- Big Data Processing platforms (processing of massive Earth observation data)
- Machine Learning algorithms in Remote Sensing
The Theory of Computing Group
- Algorithms and Computational Complexity
- Agent-based models, game theory and complex networks
- Symbolic computation
- Unification and matching
- Constraint logic programming
- Proof-based algorithm synthesis
The Cloud Computing, High Performance Computing, and Internet of Things Group
- Exascale Data Processing
- Monitoring data-intensive applications
- Portability in Clouds and open source Platform as a Service
- Cloud resources management and self-organization in heterogeneous cloud
- Data-intensive applications
- Ontologies for Cloud services
- Cloud governance
- HPC service exposure in the Cloud
- Empirical software engineering for cloud-based applications
The Artificial Intelligence and Machine Learning Group
- Multi-agent approaches and recommender systems:
- health monitoring and healthcare systems
- customer-relationship management
- Machine learning techniques for:
- knowledge extraction from data (medical, biological, financial)
- intrusion and anomaly detection
- prediction for auto-scaling of resources in distributed systems
- Metaheuristic algorithms for:
- scalable cloud resource allocation
- model inference and parameter estimation in biological systems
- Explainable Artificial Intelligence
Signal and image processing using deep neural networks (Group - Signal, Image and Machine Learning)
- Uncertainty in deep neural networks