Accenta.ai
Wassila Boumerdas is a skilled Python Developer in Research & Development at Accenta.ai since February 2022. Prior experience includes a role in Computer Vision at Stellantis, focusing on data augmentation using GANs for autonomous vehicle imagery. Wassila also worked as a Web Developer at Octenium, a leading web hosting company in Algeria, and contributed to an end-of-study project at the Algiers Urban Transport Organisation Authority, developing a mobile application for public transport information. Wassila holds a Master's degree in Imagery with a specialization in Pattern Recognition, Computer Vision, and Image Processing from Sorbonne Université, along with two additional master's degrees in Computer Vision and a bachelor's degree in Information Systems and Software Engineering from Université des Sciences et de la Technologie 'Houari Boumediène'.
This person is not in any teams
Accenta.ai
ACCENTA, a technology company engaged in the research, is developing a solution that combines inter-seasonal heat storage and algorithms to reduce energy consumption and CO2 emissions of the building . This solution uses renewable energy, produced in large quantities in the summer, to heat buildings in winter. By valuing, for example, solar heator the heat recovered from air conditioning systems, it achieves the most ambitious objectives of energy and environmental performance benchmarks for buildings.