Mostafa Abdelrahman is a Senior Software Engineer at Cognex Corporation, where he leverages his extensive expertise in theoretical and computational methods in metric geometry to advance the field of computer vision. His current role involves the design and development of innovative vision algorithms that tackle...
Mostafa Abdelrahman is a Senior Software Engineer at Cognex Corporation, where he leverages his extensive expertise in theoretical and computational methods in metric geometry to advance the field of computer vision. His current role involves the design and development of innovative vision algorithms that tackle the complexities of detecting and reading challenging 1-D and 2-D barcodes, even in the presence of noise and distortion. This critical work not only enhances the reliability of barcode scanning in various industrial applications but also pushes the boundaries of pattern recognition and image processing.
At Cognex, Mostafa is deeply involved in key projects that focus on 3D object detection and defect classification, utilizing deep learning techniques on edge devices. His proficiency in TensorFlow and deep learning frameworks enables him to create robust algorithms that can efficiently process and analyze visual data in real-time. Moreover, Mostafa plays a pivotal role in integrating and optimizing these algorithms for custom embedded hardware systems, ensuring that they perform seamlessly in operational environments.
His background in shape analysis and metric geometry allows him to develop sophisticated 3D acquisition algorithms for displacement sensors, further enhancing the precision of Cognex's imaging solutions. Mostafa's commitment to research and development is evident in his active participation in design and code reviews, where he collaborates with cross-functional teams to refine and elevate the quality of software products. With a solid foundation in object-oriented programming, Verilog, and microcontroller applications, Mostafa continues to drive innovation at Cognex, making significant contributions to the advancement of automation and intelligent imaging technologies.
