معرفی
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
