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I have a M.Sc. in Mechanical Engineering with a specialization in Systems Engineering. I am passionate about robotics and intelligent systems, and I am interested in developing solutions for a more sustainable future. Since my master thesis I have been working on early fire detection through remote sensing using artificial intelligence. Currently, I am a research fellow at the Center of Intelligent Systems at IDMEC-Institute of Mechanical Engineering, to extend this investigation to ongoing projects related to wildfire detection. I have collaborated with entrepreneurship education programs such as 3 Day Startup and have won an innovation contest supported by Thales.
Maria Sousa - Portuguese, Europe
2018 Winner | | Portuguese
My big idea is to have a dynamic network of sensors that can relay real-time data for the evaluation of changes in the environment. This type of system relies on static sensors as well as mobile aerial platforms such as drones and high-altitude balloons, which can provide extensive area coverage. The decentralized and dynamic nature of the system proposed enables its deployment in target regions in specific time-windows when there are forecasts of increased fire risk. Once validated, this type of system is especially intended for deployment in rural environments for assistance in wildfire detection and monitoring. By providing real-time data to decision makers, it has the potential to enable a better optimization of resource allocation in preparedness, emergency response and post-fire stages.
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NOTE: Ce contenu a été mis en ligne pour le cycle 2019 du programme Jeunes champions de la Terre et n'a pas été mis à jour. Cette liste ne constitue ni une approbation ni un statut auprès du Programme des Nations unies pour l'environnement.
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