MBZUAI · Notable
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.
MBZUAI · Abdelrahman Shaker · SwiftFormer · EdgeNext · impact
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MBZUAI ·
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.
MBZUAI ·
MBZUAI alumnus Ahmed Sharshar is developing smaller AI models to make the technology more accessible, especially in resource-constrained environments like Egypt. His master's thesis involved creating an app that assesses lung health using mobile phone video analysis, eliminating the need for traditional medical devices. Sharshar is pursuing his Ph.D. at MBZUAI, focusing on lightweight and energy-efficient models for various applications. Why it matters: Democratizing AI through smaller, efficient models can enable broader applications and innovation across diverse sectors in the Middle East and beyond.
MBZUAI ·
MBZUAI alumnus Adnan Khan is pursuing a Ph.D. at Carleton University, focusing his research on using computer vision to improve accessibility in healthcare, particularly for the visually impaired. His work builds upon his master's thesis at MBZUAI, which focused on domain generalization, enabling models to adapt across different data domains. Khan credits his experiences at MBZUAI for shaping his community spirit and career path. Why it matters: This highlights the role of AI education in fostering socially impactful research and driving innovation in healthcare accessibility in the region and beyond.
MBZUAI ·
Faris Almalik, an MBZUAI alumnus, discusses his journey from mechanical engineering to becoming a senior data scientist at the Department of Government Enablement – TAMM in Abu Dhabi. Almalik emphasizes his passion for continuous learning and knowledge sharing, which has driven his career across defense, education, finance, and government sectors. He published his first paper on adversarial attacks on medical imaging at MICCAI during his time at MBZUAI. Why it matters: This highlights the success of MBZUAI in producing impactful AI professionals who contribute to both research and practical applications in key sectors within the UAE.