Mostafa Hussein
R & d Algorithm Development Engineer - Perception Sw - Adas Nearfield (Commercial Vehicle Solutions) at Zf Group
Based in Friedrichshafen, Germany
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Seniority
Other
Department
Other
Location
Friedrichshafen
Industry
Motor Vehicle Parts Manufacturing
Company size
61K
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m•••••••@zf.com
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Background
About Mostafa Hussein
As an experienced Research and Development Engineer specializing in sensor calibration and autonomous driving technologies, I bring over six years of expertise in creating and implementing cutting-edge solutions for the automotive industry. At ZF Group, I contribute to advancing autonomous mobility systems by developing embedded and automotive-ready C/C++ components for the calibration of cameras, lidars, and radars. I have played a pivotal role in projects such as the Rivium Parkshuttle in Rotterdam and the RABus project in Mannheim and Friedrichshafen, ensuring precise calibration of autonomous shuttles and buses. My work spans three core calibration products: End of Line Calibration, Online Calibration, and Service Calibration. Passionate about leveraging technology to enhance calibration accuracy and efficiency, I work in alignment with ASPICE and ISO safety standards to ensure high-quality and safe software development. My contributions also include algorithm development for perception and environment detection, integrating new technologies into ZF’s platforms. Beyond technical expertise, I am proficient in Agile Scrum methodologies and currently balance dual roles as Product Owner and developer. I actively participate in customer engagements, provide strategic input, and contribute to product development. Academically, I hold a Master of Science in Embedded Systems Engineering from Albert-Ludwigs-Universität Freiburg, a Bachelor of Science in Mechatronics from the German University in Cairo. My reasearch experience includes roles at the Fraunhofer Institute and the Autonomous Intelligent Systems Group, equipping me with a global perspective and a collaborative approach to problem-solving. My innovative work is highlighted by several patents and publications in the field. Notably, I co-authored a paper on “Night-to-Day: Online Image-to-Image Translation for Object Detection Within Autonomous Driving by Night” Transactions on Intelligent Vehicles). Additionally, I hold patents on lane detection and object detection in night conditions, showcasing my ability to tackle complex challenges in autonomous driving. Research Interests: Sensor Calibration, Machine Learning, Computer Vision, Data Analytics, Deep Learning, Autonomous Driving, and Advanced Driver Assistance Systems. I am always eager to connect with professionals in the field of autonomous driving and sensor calibration. Feel free to reach out to discuss potential collaborations or opportunities at mostafa.husseinsh@gmail.com. PS: Don't miss my video https://spr.ly/6049c0BPd
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