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Alumni Spotlight: How Abdelrahman Shaker learned to redefine impact in AI

MBZUAI · Invalid Date

MBZUAI alumnus Abdelrahman Shaker reflects on his evolving definition of impact in AI research, now valuing real-world usefulness over publication count. His work on efficient models like SwiftFormer (ICCV'23) and EdgeNext saw unexpected adoption, with millions of downloads and integration into real-world applications. Shaker chose MBZUAI for its faculty alignment, resulting in 10 publications and over 2,500 citations by graduation. Why it matters: This highlights the increasing focus on practical applications and real-world impact within the AI research community in the GCC region, as opposed to purely academic metrics.

Alumni Spotlight: How Abdelrahman Shaker learned to redefine impact in AI

MBZUAI · Invalid Date

MBZUAI alumnus Abdelrahman Shaker discusses his evolving perspective on impactful AI research, shifting from publication counts to real-world usefulness. He highlights the success of his SwiftFormer and EdgeNext papers, which have been adopted by third parties and reached millions of users. Shaker chose MBZUAI for its faculty expertise, which led to 10 publications and over 2,500 citations during his Ph.D.