

Professor and nuclear safety expert with extensive experience in nuclear reactor safety, advanced control systems, and AI applications. Proven track record in cybersecurity, thermal-hydraulic modelling, reactor simulation, and probabilistic safety assessment. Expertise in safety assessment, operational management, and providing technical support to regulatory authorities. Skilled in knowledge management for long-term operation and decommissioning of nuclear facilities.
Advancing Thermal-Hydraulic Models and Predictive Tools for the Design and Operation of Supercritical Water-Cooled Reactor (SCWR) Prototypes — CRP No. I31034.
Design and Performance Assessment of the Thermal-Hydraulic Behavior of Cooling Systems in Small Modular Reactors (SMRs) — CRP No. I31010.
• Teaching subjects of Computer Systems I & II, Digital Circuits, Microcontroller Systems, MATLAB for Engineering Applications, Electronics and C Programming
·Magy M. Kandil and Afaf A.E. Atey, Dynamic Modeling for Efficient load Regulation in Two-Fluid Molten Salt Breeder Reactors, Arab Journal of Nuclear Sciences and Applications, ajnsa.journals.ekb.eg, Arab J. Nucl. Sci. Appl., Vol. 59, 2, 61-73 (2026),
· Ayman A. Elbordany, Magy M. Kandil, Hassan A. Youness, Hammam M. Abdelaal, AI-Enhanced Emergency Response System for Nuclear Power Plants: Integrating Machine Learning with Symptom-Oriented Procedural Guidance.DOI 10.32918/nrs.2026.1(109).07 , Видання, 2026, Ядерна та радіаційна безпека, № 1(109), с. 77-96.ency Response System for Nuclear Power Plants: Integrating Machine Learning with Symptom-Oriented Procedural Guidance.DOI 10.32918/nrs.2026.1(109).07 , Видання, 2026, Ядерна та радіаційна безпека, № 1(109), с. 77-96.