Hashim Hassan

Papers

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About

Hashim Hassan is a researcher whose work sits at the intersection of computational intelligence and advanced materials, with a particular focus on self-sensing systems. His primary research areas include metaheuristic optimization, inverse problem-solving, and the characterization of piezoresistive nanomaterials. Hassan’s most cited work, "A Comparison of Metaheuristic Algorithms for Solving the Piezoresistive Inverse Problem in Self-Sensing Materials" (2020, 23 citations), addresses a critical challenge in the field: accurately inferring mechanical deformation from electrical conductivity changes in nanofiller-modified composites. This contribution is vital for advancing self-sensing technologies used in civil infrastructure, aerospace, robotics, and biomedical devices. By systematically evaluating different optimization algorithms, Hassan provides a framework for improving the reliability and precision of these smart materials. His research bridges the gap between material science and computational methods, offering practical tools for engineers developing next-generation sensors. With growing recognition in the field, Hashim Hassan is establishing himself as a thoughtful contributor to the future of intelligent, responsive materials.