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