Abdelrahman Abubakr

Abdelrahman Abubakr has a diverse work experience in the field of technology and computer vision. Abdelrahman started their career as an intern at Si-Ware Systems, where they gained experience in digital design and functional verification. Later, they worked as a research intern at Inria, focusing on evaluating and optimizing object detection algorithms for pedestrian detection. Abdelrahman also worked as a computer vision research engineer at Inria, collaborating with Toyota Europe on online temporal localization of human activities in video streams.

Abdelrahman then joined Diota as a master thesis intern, where they worked on automatic visual industrial inspection using deep learning and CAD models. Abdelrahman successfully addressed the challenge of using non-photorealistic renders of 3D CAD models as training data and testing on real images.

Abdelrahman continued their career at Telexistence Inc as an AI engineer, developing real-time object detection and grasping point estimation for the Telexistence humanoid robot.

Most recently, Abdelrahman worked at NVISO as a computer vision engineer, where they were responsible for developing efficient deep learning models for edge devices. Abdelrahman worked on various AI applications, including object detection, face detection, emotion recognition, head pose, and eye gaze estimation.

Overall, Abdelrahman Abubakr's work experience showcases their expertise in machine learning, computer vision, and deep learning model development for real-world applications.

Abdelrahman Abubakr's education history is as follows:

From 2018 to 2019, they attended the National School of Computer Science and Applied Mathematics of Grenoble, where they pursued a degree in M2 Master of Science in Informatics at Grenoble (MoSIG), GVR, with a focus on Computer Science.

In the year 2016 to 2017, Abdelrahman Abubakr studied at Université de Bourgogne, where they obtained their M1 Master of Science in Computer Vision and Robotics.

Abdelrahman'sundergraduate education was completed from 2011 to 2016 at Alexandria University, where they earned a Bachelor's degree in Electrical, Electronics, and Communications Engineering.

In addition to their formal education, Abdelrahman Abubakr has obtained several certifications, including a C++ Nanodegree from Udacity in November 2021, and course certificates in Academic Information Seeking, Fundamentals of Digital Image and Video Processing, Algorithmic Toolbox, and Digital Signal Processing from Coursera.

Furthermore, they completed the Developing Android Apps course from Udacity in February 2016 and has additional certifications from edX, including ISSCC Previews - Circuit and System Insights, Machine Learning from Coursera, and The Computing Technology Inside Your Smartphone from edX. The specific months and years of completion for the edX certifications are not provided.