Research Center in Computer Science

The center groups researchers and PhD students working in one of the following directions:

Cloud Computing, High Performance Computing, and Internet of Things

• 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

Big Data Applications and Data Analysis

(Group - Cloud Enhancing Research on Big Data and Applications)

• 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

Artificial Intelligence and Machine Learning

• 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

Applications of Machine Learning in Earth Observation

(EO+ML Research 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

Theory of Computing

(TCS Research 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

Computational and Applied Mathematics

• 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