Hydrogen is emerging as the future of renewable fuels, with various technologies for its production under development. Upon alternative solutions, photocatalysis stands for its unique potentialities: reduced electric energy consumption, simple and robust reactors. Moreover, green hydrogen production is combined with purification of industrial wastewater, making this technology doubly appealing.
Peripheral nerve injuries (PNIs) interrupt the transmission of motor and sensory signals between the brain and body, causing both physical disability and severe psychological consequences. Patients with PNIs
are eight times more likely to develop anxiety and depression, while the healthcare burden, including surgery, rehabilitation, and disability support, can exceed two million dollars per case. With incidence
expected to rise due to aging populations and the growing prevalence of hypertension and diabetes, new therapeutic approaches are urgently needed.
Ra.Re³ is a research initiative exploring the repurposing of second-life lithium-ion (Li-ion) batteries originally used in Formula E electric vehicles (EVs) for stationary energy storage applications. By extending their operational life, the project contributes to United Nations (UN) Sustainable Development Goals (SDGs), including affordable and clean energy (SDG 7), industry innovation (SDG 9), responsible consumption (SDG 12), and climate action (SDG 13).
The construction industry alone accounts for 37% of global CO2 emissions, with cement production alone accounting for 8%. It is essential to propose a sustainable alternative capable of reducing the impact of this hard-to-abate sector. The Re-Came Stone project proposes an innovative solution: taking waste from stone cutting industry and transforming it into a building component through additive manufacturing (AM)
RECycled Pavilion is a temporary architectural installation realized in the city of Concepción (Chile) as part of the 10th anniversary of the largest free music festival in the country, REC Festival. The project was developed by an international team of students and teachers from the Alta Scuola Politecnica in collaboration with the Universidad del Desarrollo (UDD, Chile) and was realized in March 2025.
Urban areas, due to their high population density, intensive infrastructure, and concentrated economic activities, are responsible for approximately 70% of global greenhouse gas (GHG) emissions and consume around 65% of the world’s total energy. In this context, Renewable Energy Communities (RECs) have emerged as an innovative and decentralize solution capable of reducing the environmental impact of cities by enabling local production, consumption, and sharing of clean energy.
Today, vineyard pruning still relies heavily on skilled human labor. To address this, an increasing number of research initiatives are exploring the transition from traditional manual practices to fully autonomous robotic systems. The VinPRO project contributes to this effort by developing an integrated robotic pruning platform composed of a custom-designed gripper for vineyard environments, an advanced computer vision system to detect branches, a control algorithm to optimize cutting actions, and a virtual reality (VR) tool to model vines and simulate pruning strategies. At its core is a Kinova Gen3 Lite robotic arm, mounted on a mobile rover that serves as the physical backbone of the system.
AI-STABLEPOWER aims at developing methodologies for the analysis of power system stability by means of state-of-the-art artificial intelligence (AI) techniques. Indeed, monitoring stability is a major concern for Transmission System Operators (TSOs), as the ongoing displacement of conventional generators by renewable generation technologies has reduced system inertia, thus affecting system stability.
The AISS4SA project aims to optimize water usage by implementing a modular system that monitors water levels in different paddy field chambers.
The AMBROSE project aims to address the challenge described above by introducing a modern, integrated, multidisciplinary SHM framework. This system will utilize automated monitoring, a combination of direct and indirect sensing methods, and advanced data analysis to detect structural issues early, enabling predictive maintenance and reducing the need for costly, urgent repairs.