The Industrial Digitalization & AI Research Center aims to excel in secure data management, advanced architectures, human-machine interactions, and applied AI solutions to revolutionize the industry.
Skills
Data
The development of solutions to securely collect and process data from various sources (sensors, wearables, IoT, streams) with the aim of optimizing future analyses.
- Data Engineering
- Big Data
- Smart Data
- Sensor Data / Wearables / Internet of Things (IoT)
- Data security
- High-performance computing
Software & hardware architectures
Design, development, and deployment of optimized software solutions for multi-platform architectures and systems (cloud, mobile, etc.).
- Distributed systems
- Internet of Things (IoT) platforms
- Cloud computing
- Mobile computing
- Multi-agent systems
- DEVOPS, MLOPS
- Cybersecurity
Human-machine interaction
Human-centered design, development, and evaluation of human-machine interfaces and interactions that leverage new technologies (AI, robots, RVA).
- Human-machine interface
- Human-robot collaboration
- Augmented/virtual/mixed reality
- UX Design
- Interface ergonomics
- Serious Games and gamification
- Chatbots
Applied AI
Development of data-based solutions in the industrial field and embedded deployment using machine learning, computer vision, natural language processing, and other technologies.
- Machine Deep Learning
- Textual analysis
- Computer vision / CNN
- Medical imaging
- Industrial vision
- Embedded AI
- AI applied to robotics
- Hybrid Intelligence