1. Data and analysis
Capture, processing, structuring, and exploitation of technical data from sensors, embedded systems, experimental logs, or digital sources.
This area includes:
- data acquisition and logging
- cleaning and dataset preparation
- exploratory analysis
- pattern and behavior detection
- technical visualization
- variable monitoring and tracking
The goal is not just to generate charts, but to transform raw data into useful information to understand, validate, and improve real systems.
2. Applied AI
Application of artificial intelligence techniques to technical problems, information flows, and engineering process support.
Depending on the project, this may include:
- data classification and interpretation
- automation of technical tasks
- assistance systems
- computer vision
- decision support models
- AI-based tools for experimental or production environments
AI is understood here as a functional layer integrated within the system, not as an isolated piece.
3. Sensors and electronics
Design and integration of solutions based on sensors, data acquisition, communication, and electronic platforms for prototypes or experimental systems.
This line may include:
- instrumentation
- telemetry
- microcontrollers and embedded systems
- signal conditioning and reading
- communication interfaces
- integration with software and visualization
The main interest is connecting the physical world with exploitable data and responsiveness.
4. Control & prototyping
Development of systems where software, electronics, and physical behavior combine to validate ideas, build prototypes, and explore real-world applications.
This area includes:
- software-hardware integration
- automation
- basic or advanced control depending on the application
- test benches and experimental systems
- functional prototypes
- behavior validation
The goal is to bring technical concepts to a verifiable implementation, even in an initial or exploratory phase.
5. Applications
The Lab's technologies and workflows can be applied to different contexts, depending on the project type:
- embedded systems
- monitoring and instrumentation
- automation
- telemetry
- system behavior analysis
- data-based technical tools
- vehicle and motorsport applications
- experimental platforms and prototypes