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System and Service Quality

Settore ERC

PE6_2 - Distributed systems, parallel computing, sensor networks, cyber-physical systems
PE6_5 - Security, privacy, cryptology, quantum cryptography
PE6_6 - Algorithms and complexity, distributed, parallel and network algorithms, algorithmic game theory
PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
PE6_12 - Scientific computing, simulation and modelling tools
PE6_13 - Bioinformatics, bio-inspired computing, and natural computing


The System and Service Quality Group focuses on the analysis of performance, reliability, security, scalability, and availability of complex systems, such as distributed systems, communication networks, and biological systems. The design, deployment, and long-term maintenance of these systems is a complex task, which requires a combination of multiple competencies to reach the required quality levels.

Aspects such as resilience (capacity of maintaining the system quality levels) as well as sustainability (maintaining the quality level over a broad time horizon) are fundamental to the systems our society relies on. The System and Service Quality Group targets novel solutions to keep connected systems and services operational today and in the future, bringing the results of its expertise and skills to society.

Main research areas

Our research focuses on the performance, reliability, security, scalability, and availability of technical and biological systems. The activity of the group includes a set of competencies, which apply to several practical problems.

In terms of methodologies, the System and Service Quality Group focuses on:

Performance evaluation: analytical methods and models for complex systems' design and evaluation, development of tools and methodologies supporting systems' modeling, verification and performance evaluation.

  • Models and performance evaluation of mobile networks, edge and fog computing
  • Methods for evaluating and optimizing energy consumption
  • Quantitative and qualitative model checking
  • Stochastic verification
  • Safety of intelligent systems
  • Autonomous driving & human safety

Bioinformatics and computational biology

  • Algorithms for medical genomics and personalized medicine
  • Multi-omics data integration methods


  • Security of distributed systems
  • Threat analysis of digital systems
  • Automation of security activities, adversarial security

These methods are then in key application areas. 

Systems Biology and Computational Epidemiology

  • Epidemiological models
  • Models for disease progression and treatment response

Autonomous driving

  • Modeling, development, and testing of ADAS components
  • Driving simulation and Driver Monitoring Systems technologies

Network security

  • Internet security, applications on industrial and large-scale systems
  • Protection of cyber-physical systems
  • Privacy, anonymity, and trust
  • Sustainable and continuous system operation

Mobile Communications

  • 3GPP-like systems (5G and beyond) performance evaluation
  • Optimization of critical distributed applications
  • Flow management in mixed Cloud/Edge computing system
  • Energy-aware networking

Methods in statistical machine learning, eXplainable AI and anomaly detection to evaluate the quality of systems incorporating AI components.

  • eXplainable AI
  • ethical and legal implications of AI in technical systems
  • use of AI to enhance the safety of physical systems
Ultimo aggiornamento: 05/02/2024 10:44
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