Bridging engineering, artificial intelligence, and health systems, Prof. Kamel Guedri develops advanced computational frameworks to model complex physical and biological phenomena with real-world impact.

Prof. Kamel Guedri is a Full Professor of Mechanical Engineering at Umm Al-Qura University, Saudi Arabia. His research lies at the intersection of advanced heat transfer, multi-component nanofluids, and AI-assisted computational modeling for complex thermal and biomedical systems.

He specializes in the thermophysical characterization and numerical modeling of hybrid, tri-hybrid, and tetra-hybrid nanofluids, with a particular focus on entropy generation, non-Newtonian fluid behavior, and energy-efficient thermal management. His work integrates high-fidelity simulations with machine learning techniques to enhance prediction accuracy and optimize system performance.

A defining direction of his recent work lies in extending mathematical modeling beyond traditional boundaries. It incorporates memory-driven fractional dynamics and disability-aware epidemiological frameworks to better quantify long-term health outcomes. His contributions include integrating disability burden metrics such as DALYs and YLDs into infectious disease models, enabling a more comprehensive understanding of disease impact and supporting predictive, data-driven healthcare strategies.

Prof. Guedri leads and contributes to interdisciplinary research addressing real-world challenges in energy systems, biomedical engineering, and smart environments, including high-density and extreme scenarios such as Hajj and crowd-related systems.

With over 300 peer-reviewed publications and an h-index of 48, he actively collaborates on projects that bridge engineering, artificial intelligence, and societal applications. His research aims to advance sustainable, intelligent, and high-performance systems for next-generation engineering and health technologies.