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Research themes

Main research topics in the area: Software architecture and analysis, distributed systems, imaging and artificial vision, robotics

  • Design methodologies and object-oriented programming paradigms. Software analysis, testing and quality control.

  • Models and infrastructures for component-based distributed software systems implementation and management.

  • Real-time software systems architectures, with application to traffic and environment monitoring.

  • Computational reflection with applications to quality of service in distributed systems.

  • Software architectures for B2B systems, with applications to financial trading and industrial production planning.

  • Cooperative software architectures for G2C systems.

  • Software architectures, video streaming and automatic acquisition for remote education, and for management of academic structures.

  • E-learning systems.

  • Multimedia transmission with mobile terminals.

  • Tools for cataloging Internet documents.

  • Image processing and artificial vision for mobile robotics and traffic control.

  • Planning and control of robot mobility.

  • Models, methods and systems for imaging and vision.

  • Models, methods and systems for managing and archiving images, video and 3D objects.

  • Models, methods and systems for color management and reproduction

Main research topics in the area: Date bases and information systems, artificial intelligence, knowledge engineering and management, cooperative technologies

  • Artificial intelligence and cognitive science methods, tools and tecnologies for knowledge management, design and development of knowledge-based systems and for knowledge management activities (Case-Based Reasoning, Qualitative Reasoning).

  • Knowledge engineering methods, tools and techniques: knowledge-based support for chemical formulas.

  • Discrete dynamic systems modelling and simulation, through computational models based on extensions of cellular automata and communities of reactive agents.

  • Multi-interface systems for knowledge management and cooperation.

  • Awareness models in cooperative work.

  • Development of group communication and cooperation systems in social and virtual communities of practice.

  • Applications based on intelligent agents for the implementation of networks supporting cooperative work.

  • Quality of data in cooperative information systems.

  • Databases and information systems.

Main research topics in the area: Bioinformatics, complex systems, formal models of distributed systems

  • Models and algorithms for molecular and quantum computation

  • Approximation algorithms for biologic sequence analysis and proteic structure prediction

  • Algorithm for the solution of combinatorial optimization problems in computational biology

  • Theoretical and computational methods based on cellular automata for complex dynamic systems description and simulation, in massively parallel contexts (2-phase fluids dynamics through lattice gas and lattice Boltzmann paradigms)

  • Chaos in cellular automata and symbolic dynamic systems, and analysis of associated formal languages

  • Generation of conservative and reversible quantum ports, for fuzzy multi-valued modal-intuitionistic logics

  • Algebraic structures related to non-standard logics, and in particular structures having fuzzy sets and rough sets models

  • Fundaments of concurrency and distributed systems theory

  • Study and development of models and formal techniques for processes and specification and synthesis of distributed systems

Main research topics in the area: Information, finance and environment, computational networks and decision sciences

  • Development of assessment methodologies and optimization models for risk analysis and management

  • Development of integrated systems for solution modelling and analysis of optimization problems in ASP technologies. Main application domains are finance, environment and manufacturing (Supply Chain Management)

  • Data Mining, neural networks and bayesian networks (theoretical aspects related to automatic learning of qualitative and quantitative components)

  • Develoment of libraries for data web and text mining in production, finance and biotechnologies

  • Computational Finance (operation research techniques for optimal capital allocation problems, computational techniques based on neural networks for default probability of industrial subjects)

  • Information systems methods for financial investments and on-line trading

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