Nikola Guid

Papers

Total Citations

H-Index

About

Nikola Guid’s research sits at the intersection of mathematics, computer science, and advanced manufacturing, where fractal geometry becomes a powerful tool for engineering. His most-cited work, “A new method for estimating the Hurst exponent H for 3D objects” (2017, 8 citations), introduces a novel computational approach to characterize surface and interfacial morphology—critical for understanding robot-laser-hardened materials. By adapting the Hurst exponent—a measure of long-range dependence and self-similarity—to three-dimensional objects, Guid provides engineers with a precise, quantitative method to evaluate surface roughness and structural integrity after laser treatment. This contribution directly supports the optimization of laser-hardening processes, where the quality of the hardened layer determines material performance and durability. Guid’s work exemplifies how abstract mathematical concepts can solve concrete industrial challenges, bridging theoretical fractal analysis with practical applications in materials science and laser engineering. His research not only advances surface characterization techniques but also demonstrates the broader utility of fractal geometry in non-destructive evaluation and quality control. For students and researchers, Guid’s approach offers a compelling model of interdisciplinary problem-solving, where rigorous mathematics meets hands-on engineering innovation.