Mobileye
Roi Frenkel is an experienced algorithm engineer with a strong background in developing and implementing algorithms across various industries. Currently serving at Mobileye since January 2017, Roi applies expertise in algorithm design and data analysis. Prior roles include Chief Algorithm Engineer at BibilioHive, where Roi developed an automated system for data analysis and user interconnection, and Algorithms Engineer at Coloright, L'Oréal Group, focusing on machine learning algorithms for big data systems. Additional experience includes high-precision weather forecasting algorithms at Nooly Technologies, signal processing at RADA Electronic Industries Ltd., and research at Ben Gurion University of the Negev. Roi holds an M.Sc. in Electrical and Electronics Engineering and dual B.Sc. degrees in Mathematics and Electrical and Electronics Engineering from Ben-Gurion University of the Negev.
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Mobileye
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Mobileye N.V. is engaged in the development of computer vision and machine learning-based sensing, mapping and driving policy technology for advanced driver assistance systems and autonomous driving technologies. The Company operates through two segments: Original Equipment Manufacturing, which supplies the software algorithms and EyeQ chip, and After Market, which sells a complete system, which includes its software algorithms and EyeQ chip, as well as the camera and other necessary components. Its software algorithms and EyeQ chips perform detailed interpretations of the visual field in order to anticipate possible collisions with other vehicles, pedestrians, cyclists, animals, debris and other obstacles. Its products are able to detect roadway markings; identify and read traffic signs, directional signs and traffic lights; create a Roadbook of localized drivable paths and visual landmarks using its road experience management technology, and provide mapping for autonomous driving.