Settori e tematiche

Il Corso di Dottorato in Innovazione Industriale si basa su una struttura a matrice dove una serie di tecnologie abilitanti vengono applicate a domini industriali per generare innovazione, in linea con l'approccio strategico industry 4.0.

Tecnologie abilitanti

  • Advanced materials (Nanotechnology, Graphene)
  • Advanced process technologies (Robotics, Mechatronics, Additive Manufacturing)
  • Digital technologies (5G, Internet of Things, Artificial Intelligence, Quantum Computing)

Settori applicativi

  • Smart Cities and Communities
  • Smart Factory
  • Health, Wellbeing, and Active Aging
  • Smart Energy Systems
  • Automotive
  • Cybersecurity
  • Digital Agriculture

Le tematiche specifiche di ricerca includono:

  • Accessibility and assistance systems
  • Artificial Intelligence
  • Autonomous vehicles and robots
  • Bioinformatics
  • Biomaterials and biomedical technologies
  • CMOS image sensors and radiation detectors
  • Coatings and surface treatments
  • Computer Vision
  • Cyber Security
  • Data Science and Management
  • Deep and Structured Machine Learning
  • Distributed measuring systems
  • Distributed Sensing
  • Electronics
  • Embedded Electronics and Computing Systems
  • Experimental characterization of the mechanical behaviour and numerical modeling
  • High-strength glasses and ceramics
  • Human Computer Interaction
  • Intelligent machine tools and machining processes
  • Intelligent systems and instrumentation for the quality of life
  • Language, Speech and Interaction
  • Machine Learning and Intelligent Optimization
  • Materials chemistry
  • Materials for energy
  • Measurement systems and sensor data fusion
  • Mechanisms for space applications
  • Microelectronics
  • Microsensors
  • Modeling and simulation of mechatronics system
  • Modeling of the human movements
  • Modeling, simulation and control of process
  • Multimedia Signal Processing and Understanding
  • Nanostructured materials
  • Polymeric and composite materials
  • Product innovation
  • Remote Sensing and Radar
  • Signal Processing and Recognition
  • Social Informatics
  • Software Engineering and Formal Methods
  • Systems and Networks
  • Systems on chip (SoC), energy harvesting and ultra-low power methodologies
  • Wearable computing
  • Wireless Networking
  • Wireless sensor networks and cyber physical systems
  • Smart energy systems