Mohamed Elhoseiny is an Assistant Professor of Computer Science and visual computing researcher with 11 years of experience bridging deep learning, computer vision, language-and-vision, and multimedia. He combines strong academic credentials (PhD and MS from Rutgers, top BSc honors) with industry research roles at Facebook AI Research, Adobe, and visiting positions at Stanford and Baidu, producing work recognized in top conferences and popular media. His research spans creative generative models, continual and compositional learning, and fine-grained 3D scene understanding, with projects that have drawn attention from New Scientist, HBO, and the United Nations. Based in the San Francisco Bay Area, he mentors students and collaborates across academia and industry, applying multidisciplinary engineering skills to turn novel AI ideas into impactful prototypes. An entrepreneurial-minded researcher, he also completed Stanford Ignite and has a track record of translating theory into practical systems and public-facing demonstrations.
11 years of coding experience
7 years of employment as a software developer
Stanford Ignite, Certificate Program in Innovation and Entrepreneurship, Top Finalist Venture idea Generator, Granted, Stanford Ignite, Certificate Program in Innovation and Entrepreneurship, Top Finalist Venture idea Generator, Granted at Stanford University Graduate School of Business
Bachelor of Science (BSc), Computer Science, 3.96, Bachelor of Science (BSc), Computer Science, 3.96 at Ain Shams University
Doctor of Philosophy (PhD), Computer Science, 4.0, Doctor of Philosophy (PhD), Computer Science, 4.0 at Rutgers, The State University of New Jersey-New Brunswick
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