Abdul Samad Shibghatullah

Technical University of Malaysia Malacca, UCSI University

Papers

Total Citations

H-Index

About

Abdul Samad Shibghatullah is a researcher whose work centers on optimization algorithms and their real-world applications, particularly in data mining and intelligent systems. His most significant contributions lie in the refinement of the Harmony Search (HS) algorithm, a population-based metaheuristic for solving large-scale optimization problems. In his 2014 study, "An Analysis of the Parameter Modifications in Varieties of Harmony Search Algorithm," he systematically examined how tuning HS parameters can enhance performance across diverse domains, a paper that has garnered 6 citations. He further advanced this field with his 2015 work, "A New HMCR Parameter of Harmony Search for Better Exploration," which introduced a novel modification to improve the algorithm's exploratory capabilities, earning 5 citations. Beyond algorithmic theory, Shibghatullah applies computational techniques to practical challenges, as demonstrated in his 2020 paper "Jomdrone: Data Mining Financial Sense in the Property Agency." This innovative study explores how drone technology, integrated with GPS and sensors, can be leveraged for financial data mining in the property sector, highlighting the positive industrial impact of drones. With a growing citation footprint, Shibghatullah’s work bridges theoretical optimization and applied data-driven solutions, offering valuable insights for students and researchers in computational intelligence and its interdisciplinary uses.