About

Ahmed Abdelreheem is a highly motivated MS/PhD student at King Abdullah University of Science and Technology with a keen interest in computer vision and machine learning. Currently, he is working as a research intern at Stanford University, where he is gaining valuable experience in the field of computer science. With over a year of relevant experience, Ahmed has worked as a software engineer at Ejad, where he contributed to the ADAS Lane Detection project. He has also worked as a research scientist and has a strong background in computer vision and machine learning. Ahmed has a Bachelor of Science degree in Computer Engineering from Cairo University and is currently pursuing a Doctor of Philosophy degree in Computer Science at King Abdullah University of Science and Technology. His education has equipped him with the skills and knowledge needed to excel in his field. Ahmed is proficient in a range of technical skills, including research scientist, computer vision, software engineering, and machine learning. He is a quick learner and has a passion for staying up-to-date with the latest advancements in technology. Overall, Ahmed Abdelreheem is a talented and driven individual with a passion for computer science. With his strong technical background and relevant experience, he is well-equipped to excel in his future endeavors and make significant contributions to the field of computer science.