Iman Gholaminezhad
Papers
2
Total Citations
36
H-Index
2
About
Iman Gholaminezhad is a researcher in mechanical and structural optimization, with a focus on reliability-based design and multi-objective decision-making under uncertainty. His work centers on developing robust computational frameworks for complex engineering systems, particularly in the design of robotic mechanisms. His most cited paper, "Multi-objective reliability-based robust design optimization of robot gripper mechanism with probabilistically uncertain parameters" (2016, 24 citations), introduces a novel approach that integrates probabilistic uncertainty modeling into the optimization of gripper mechanisms, ensuring both performance and safety. Complementing this, his 2015 study on "A multi-objective differential evolution approach based on ε-elimination uniform-diversity for mechanism design" (12 citations) advances evolutionary algorithms by incorporating a diversity-preserving mechanism to avoid premature convergence. Together, these contributions demonstrate Gholaminezhad’s expertise in bridging theoretical optimization methods with practical engineering applications, offering tools that enhance the reliability and efficiency of automated systems. His work is particularly valuable for researchers and students in mechanical engineering, robotics, and design optimization, providing a foundation for developing more resilient and adaptive mechanical systems.
Research Focus
Key Achievements
Top Papers
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