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Scientific Computing Research Group

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Samir Karaa

Research Group Coordinator

Prof. Samir Karaa

Email: skaraa@squ.edu.om

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Overview:Ìý

The Scientific Computing Research Group is focused on developing advanced numerical algorithms and computational methods to solve complex scientific and engineering problems. The group's research covers a wide range of topics, including the development and analysis of efficient numerical methods for solving partial differential equations (PDEs), which are essential tools for modeling physical phenomena in areas such as thermodynamics, hydrodynamics, and structural engineering.

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A significant part of the group’s work also addresses the challenges of inverse problems, particularly in stabilizing ill-posed problems using innovative regularization techniques. These approaches are applied in fields like medical imaging, geophysics, and materials science, where accurate solutions are often difficult to obtain due to noisy or incomplete data.ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý

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The group further integrates cutting-edge advancements in Artificial Intelligence for PDEs and Machine Learning in Computational Science, enhancing both the efficiency and accuracy of traditional numerical solutions. These innovative approaches leverage data-driven methods to improve and extend conventional computational techniques, unlocking new possibilities for applications in engineering and the sciences.ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý

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Another key focus of the group’s research is numerical optimization and control, where it develops algorithms for the optimal control of systems governed by PDEs, with an emphasis on real-time control applications in advanced engineering systems.

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The Scientific Computing Research Group is a multidisciplinary and interdisciplinary-oriented team with local and international members who have expertise in computational science, applied mathematics, and engineering. Through collaborative efforts with academic and industry partners, the group develops advanced computational tools and algorithms that tackle the growing complexity of real-world problems in science and technology.