Research Areas and Topics

The Doctorate Program in Industrial Innovation aims at the application of a series of enabling technologies to industrial domains to create innovation in accordance with the Industry 4.0 strategic approach.

Main research areas:

  • Accessibility and assistance systems
  • Artificial Intelligence
  • Asset Allocation
  • 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
  • Finance
  • 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
  • Risk Management
  • Signal Processing and Recognition
  • Smart energy systems
  • 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