Hamid Reza Karbasian

Papers

Total Citations

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About

Hamid Reza Karbasian is a researcher specializing in computational fluid dynamics and bio-inspired propulsion, with a particular focus on fish-like swimming mechanisms. His work bridges fluid mechanics and optimization algorithms to advance understanding of aquatic locomotion. His most-cited paper, "Multi-objective optimization of the kinematic parameters of fish-like swimming using a genetic algorithm method" (2018, 7 citations), introduces a novel approach to optimizing the undulatory motion of fish-like bodies. By employing a genetic algorithm, Karbasian systematically explores the trade-offs between thrust generation and energy efficiency, identifying optimal kinematic parameters that enhance swimming performance. This contribution is significant for the design of biomimetic underwater vehicles and robotics, offering a framework for improving maneuverability and reducing energy consumption. While his citation count is modest, the work demonstrates a rigorous integration of evolutionary computation with fluid dynamics, providing a foundation for further studies in bio-inspired engineering. Karbasian’s research is particularly valuable for students and researchers interested in the intersection of optimization, fluid mechanics, and biological locomotion, highlighting how computational methods can unlock new efficiencies in artificial swimmers.