Dr. Mohamed Kamel Riahi is an Associate Professor in the Department of Mathematics at Khalifa University, specializing in computational mathematics, artificial intelligence, and quantum computing. His research focuses on high-performance computational solutions for complex systems in nuclear energy, fluid dynamics, and electromagnetism, with a particular emphasis on integrating advanced mathematical models and quantum-inspired algorithms. Education: MSc in Applied Mathematics from Paris Dauphine University; PhD in Mathematical Sciences from Pierre and Marie Curie University. Research Interests: Quantum Computing and Physics-Informed Machine Learning Computational Algorithms for High-Performance Computing Optimal Control of Partial Differential Equation (PDE)-Governed Systems Domain Decomposition & Parallel Time Methods Tensor Computations and Reduced Order Modeling Nonlinear Numerical Optimization Dr. Riahi actively mentors PhD and MSc students in areas like seismic wave modeling and AI-driven optimization, while serving on editorial boards for journals such as Applied Numerical Mathematics and PLOS ONE . His recent grant projects include quantum-inspired algorithms for fluid mechanics and reactor physics, funded by collaborations with ENTC-TII-ENEC. Scientific Awards: Inverse Problems Outstanding Reviewer Award Affiliated Centers: Emirates Nuclear Technology Center


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