In full agreement with the Mission and Vision of the University, the DAUIN Department promotes, coordinates and manages fundamental and applied research, training activities, technology transfer and territorial services in the Control, Computer science, and Operation research fields.
The competencies of the DAUIN Department in the control engineering sector are aimed at developing methodologies for modeling, simulation, control and automation of equipments and complex systems, as well as their application in various fields. In the Computer Science area, the DAUIN Department designs and develops techniques for the design and production of components, devices and information systems (hardware and software), and studies their application and integration in socio-technical systems. Regarding the operation research area, DAUIN is engaged in the construction of tools and methods for solving optimization problems in all fields of engineering. DAUIN promotes interdisciplinary activities to enhance interactions and coordinated works of researchers from different cultural areas. It supports and participates at any form of research activity, related to the areas of competence of the Department, and its application to other disciplines. It promotes the participation of its personnel to regional, national, European, and international research programs. The scenario outlined by the Strategic Plan of the University identifies the Horizon 2020 program as one of the main references to address the institution's research activities. The Department has planned to follow two paths, which converge in that multi-annual program, namely the "FET Flagship" initiative and the "Leadership in enabling industrial Technologies" initiative. In particular, "FET Flagship", in the "Excellent Science" Section of the program, includes the following "Domain Objectives":

  • Bioinformatics, Systems Biology and Healt Care
  • Automotive, Aerospace and Robotics
  • Smart Cities, Smart Energy & Smart Enterprise
  • Assistive Technologies and Human Computer Interaction
  • Big Data

In the "Leadership in enabling industrial Technologies" context,  the following "technological objectives" are included:

  • Distributed and Pervasive computing
  • Electronic Design Automation
  • Computer Vision, Computer Grafica and Multimedia
  • Reliability and Security
  • Internet multimedia and networking
  • Software Engineering and Mobile
  • Algorithms and Formal Methods
  • Data-Mining and Machine Learning
  • Control Systems
  • Optimization

The two contexts are two orthogonal dimensions, which  represent projections of the space in which the research of the Department is expressed, representing application and technology scenarios that together contribute to the development of the scientific identity of the groups that feed the activities described below.