Leonardo Innovation Award 2017

Youth Category Winners



First Prize: Giulia Savoja (Università Mediterranea di Reggio Calabria)

Testing of laminas in composite material reinforced with vegetable fibres for the construction sector. 

The project presents the results of a study into the use of raw materials with a low environmental impact (cellulosic-based vegetable fibres on the one hand and epoxy resins on the other) for the creation of bio-composite materials featuring robust mechanical properties for the construction sector. The project is of particular interest in terms of the environmental focus of the proposed technologies and their potential future use in other sectors where composite materials are amply used, including the secondary structures in the aeronautical field.
Second Prize: Iolanda Borzì, Antonino Galletta (UniMessina)
An innovative methodology for monitoring and forecasting use of the Fire Weather Index (FWI)  for forest fire protection through integrated satellite data processing algorithm and site-specific real-time detections.

The goal of this project is to provide an algorithm based on the most cutting-edge real-time monitoring technologies, the processing and management of Cloud data and Big Data, to offer an efficient instrument for fire prevention and protection. The project aims to fill a gap in the Canadian Fire Weather Index (FWI), which is limited in terms of forecasting.

Third Prize: Fabio Bazzucchi (PoliTo)

mAPPage - monitoring APP for building heritage risk assessment.

This project proposes the integration, through a widespread network, of smartphones that can be used as sensors, dedicated to the monitoring of cultural heritage sites in real time. Using their smartphone and the dedicated APP, every citizen can report any damages to monuments, archaeological sites and works of art in general. One of the functional features of this APP is its ability to link digital images of cracks, damages and structural problems suffered by monuments.





First Prize: Gionathan Desogus (UniCagliari)

Application of micro - SOURCE technology (Raman spectroscopy evolution) to cultural heritage.

The project involves the use of micro-SORS (Spatially Offset Raman Spectroscopy), an advanced non-invasive technical diagnostic technique, for the timely identification of causes of damage to works of art. It is especially useful for in the diagnosis of fresco paintings that often deteriorate as a result of chemical reactions or humidity. The technique makes it possible to identify any hidden damage that may have occurred beneath the layers. This technology can be used on any piece of art with multiple surface layers: from books to scrolls, canvases and artefacts.

Second Prize: Claudio Stigliano (UniRoma- Sapienza)

EXALIBE (Basis of a display capable of interacting with a smartphone thanks to thermochromic coating).

The project presents the idea of using Graphene, a material composed of an ultra-thin layer of carbon atoms, to control the thermochromic transition of a varnish (reversible switch between transparent and opaque states, controlled by means of temperature variation). Graphene, which is used in the polymeric coating of microcapsules containing the thermochromic material (Leuco Dye), facilitates heat transfer thus speeding up the mechanism that controls thermochromic transition. The solutions is therefore suitable for the display field.

Third Prize: Gabriele Riccardi (UniRoma- Sapienza)

Quantum sensor for rotation speed measurement, via phase shift from rotational Doppler effect​.

The goal of the proposed solution is the ability to instantly measure the rotation speed of objects reflecting optical radiation - such as a helicopter rotor - from a distance. The solution draws on the ‘Rotational Doppler Effect’ which is based on the principle of conservation of orbital angular momentum and can be conferred to the optical signal through relevant modulations in the radiation phase.
One area in which this sensor is interesting to Leonardo is in the control of helicopter rotors, where optical radiation with orbital angular momentum interacts with the rotor blades to track their rotation speed by simply measuring the optical signal phase.