Papers
2
Total Citations
33
H-Index
2
About
Amir Parnianifard is a researcher at the forefront of simulation-optimization and robust control design, with a focus on enhancing reliability in complex engineering systems. His work bridges the gap between theoretical optimization and real-world application, particularly through the integration of Cyber-Physical Systems (CPS). In his highly cited 2020 paper, he developed a robust optimal design for Fractional-Order PID (FOPID) controllers in five-bar linkage robots, achieving 19 citations by demonstrating how simulation conditions can mirror actual operations to improve control reliability. More recently, his 2023 work on expedited surrogate-based quantification of engineering tolerances (14 citations) introduced a modified polynomial regression method, significantly reducing computational burden in uncertainty analysis. This contribution is vital for industries where manufacturing tolerances and operating condition uncertainties impact system performance. Parnianifard’s research is notable for its practical impact, offering accelerated yet accurate solutions for tolerance quantification and robust control. His work is essential reading for engineers and researchers in robotics, control systems, and uncertainty quantification, providing tools to design more reliable and efficient systems under real-world constraints.
Research Focus
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Top Papers
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