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 expertise lies in developing high-performance computational solutions for complex problems, with applications in nuclear energy, fluid dynamics, and electromagnetism. His work combines advanced mathematical models with cutting-edge computing techniques to solve practical challenges.
Dr. Riahi’s academic journey began with an MSc in Applied Mathematics from the University of Paris Dauphine, where he specialized in Partial Differential Equations (PDEs), mathematical modeling, and both stochastic and deterministic systems. He then pursued a Ph.D. at Université Pierre et Marie Curie (Paris VI), where he focused on developing time-parallel algorithms to accelerate the simulation of evolutionary systems. Following his Ph.D., Dr. Riahi conducted postdoctoral research at INRIA-Polytechnique X (France), working on non-destructive testing and advanced computational methods. His academic path later took him to the New Jersey Institute of Technology (NJIT) in the United States, where his research expanded into wave propagation and domain decomposition methods.
A key part of Dr. Riahi’s research involves leveraging high-performance computing (HPC) to address large-scale problems. His work integrates quantum computing and artificial intelligence into computational methods, exploring how these technologies can enhance optimization and simulation. Dr. Riahi’s contributions include quantum-inspired algorithms applied to reactor physics and fluid mechanics, as well as AI-driven models for solving complex systems governed by partial differential equations. This focus on advanced computing underscores his commitment to bridging theoretical mathematics with practical, computational solutions.
Dr. Riahi is also dedicated to education and mentoring. He supervises Ph.D. and M.Sc. students, guiding them through topics such as seismic wave modeling, optimization, and AI-driven solutions. He has developed graduate courses at Khalifa University, emphasizing the importance of computational methods in solving real-world problems. His teaching and research continually foster the next generation of experts in mathematical computing.
Dr. Riahi has been recognized throughout his career for his contributions, including awards like the Inverse Problems Outstanding Reviewer Award. He also serves on the editorial boards of journals such as Applied Numerical Mathematics and PLOS ONE, reflecting his ongoing dedication to the scientific and computational community.
Grant Projects
Dr. Mohamed Kamel Riahi has been involved in several high-impact research projects, leading and contributing to interdisciplinary initiatives that bridge computational mathematics, quantum computing, and nuclear energy. Below is a list of his recent and ongoing grant projects:
1. Quantum-Inspired Algorithm for Computational Fluid Mechanics
• Role: Principal Investigator (PI)
• Funds: AED 10,383,409.13
• Sponsor: Multi-disciplinary Collaborative project: KU-ENTC-TII-ENEC
• Duration: 36 months (Starting January 2023)
2. Quantum-Inspired Algorithm for Reactor Physics
• Role: Co-Principal Investigator (Co-PI)
• Funds: AED 10,672,825.70
• Sponsor: Multi-disciplinary Collaborative project: KU-ENTC-TII-ENEC
• Duration: 36 months (Starting January 2023)
3. RADioactive Release IDentification (RAD-ID)
• Role: Principal Investigator (PI)
• Funds: AED 1,885,794.66
• Duration: 24 months (Starting January 2023)
4. Nuclear Technology Research Center (NTRC)
• Role: Co-Principal Investigator (Co-PI)
• Funds: AED 3,307,450
• Sponsor: Khalifa University of Science and Technology Research Center Type II
• Duration: July 2018 - June 2021
5. Seismic Anisotropic Viscoelastic Tomography (CIRA 2018)
• Role: Co-Principal Investigator (Co-PI)
• Funds: AED 2,731,936
• Sponsor: Khalifa University of Science and Technology (CIRA-2018-48)
• Duration: 36 months
6. Nuclear Energy and Training (NEaT)
• Role: Co-Principal Investigator (Co-PI)
• Funds: £35,605.17
• Sponsor: Gulf Science and Knowledge Economy (GSIKE)
• Duration: January 2018 - December 2019
For more details about my research, publications, and projects, please visit my personal webpage: There, you’ll find updates on ongoing work, recent achievements, and collaborative opportunities in computational mathematics, artificial intelligence, and quantum computing.
