• Curricula
  • Computer Science / Engineering and Control Systems

Research activities in this curriculum cover the domains of: artificial intelligence, automated planning and reasoning, automated diagnosis, knowledge engineering, robotics, human-machine interaction, information systems, data bases, web services and semantic web, security of critical-mission hardware and software systems, computational argumentation, analysis and control of linear and nonlinear systems, system identification and estimation, adaptive systems, management and planning of complex systems.

Internal Board Members

  • Barricelli, Barbara Rita
    Human-Computer Interaction; Human Work Interaction Design; End-User Development; Semiotic Engineering.
  • Bianchini, Devis
  • Campi, Marco
    System identification; Stochastic systems; Randomized methods; Adaptive and data-based control; Robust optimization; Learning theory
  • Carè, Algo
    Data-driven decisions and control; System identification; Statistical learning; Estimation and filtering
  • Cerutti, Federico
    Learning and reasoning under uncertanty; Causality; Cyber Threat Intelligence Analysis; Digital Transformation
  • Fogli, Daniela
    Human-computer interaction; Interaction design; End-user development; Meta-design; Universal design; Computational thinking; Collaborative robots
  • Gerevini, Alfonso
  • Giacomin, Massimiliano
    Artificial Intelligence; Knowledge representation and automated reasoning; Computational argumentation; Fuzzy constraints; Temporal reasoning; Multi-agent systems; Knowledge-based systems
  • Loreggia, Andrea
    AI Ethics; Cognitive systems; Meta-Cognitive systems; Preference representation and aggregation; Knowledge representation; Machine Learning; Ensembles; Semantic Segmentation; Reinforcement learning
  • Saetti, Alessandro
    AI Planning; Knowledge engineering for planning; Planning with time and resources; Learning for planning and scheduling; Heuristic search
  • Scala, Enrico
    Automated planning; Heuristic search; Abstractions; Planning under uncertainty; Representation languages for planning; Planning for hybrid systems; Temporal reasoning

External Board Members

Current Phd Students

  • ARICI Nicola
    Semantic similarity techniques for transformer-based models
  • BONASSI Luigi
    Effective approaches for handling temporal constraints in automated planning problems
  • CHIARI Mattia
    Application of recurrent neural networks for goal recognition problems
  • LAMANNA Leonardo
  • LORENZI Diego
    A new feedback loop algorithm for the control of die casting machines
  • MORZENTI Stefano
    Digital twin and cyber-physical system applied to firearms shooting training
  • ROVETTA Alberto
    Ottimizzazione di algoritmi e studio nuove tecnologie per il riconoscimento di particolari strutture all’interno dei problemi di pianificazione
  • SERINA Lorenzo
    Studio sull'interpretabilità nelle tecniche di Natural Language Processing applicato all'ambito medico
  • WOLDESEMAYAT Girma Tariku
    Artificial intelligence aimed at soil monitoring in a biodiversity and resource optimization perspective in wine production