Jameel Almalki
Papers
1
Total Citations
10
H-Index
1
About
Jameel Almalki is a leading researcher at the intersection of Artificial Intelligence, Big Data Analytics, and public health informatics. His work is distinguished by its timely, high-impact focus on leveraging computational methods to address global health crises. Almalki’s most cited contribution, the 2023 "Systematic Survey on Big Data Analytics and Artificial Intelligence for COVID-19 Containment," has garnered 10 citations, establishing a foundational framework for the field. In this seminal work, he systematically mapped the AI techniques, protocols, and datasets that empower decision-makers to manage pandemic situations effectively. By critically evaluating validation mechanisms, Almalki provided a crucial roadmap for deploying AI in real-world containment strategies. His research demonstrates a profound commitment to translating complex computational models into actionable public health tools. For students and researchers, Almalki’s work exemplifies how rigorous systematic analysis can guide the ethical and effective application of AI in urgent, high-stakes environments, making him a pivotal voice in the convergence of data science and epidemiology.
Research Focus
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Top Papers
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