Jalal Joudaki
Papers
1
Total Citations
8
H-Index
1
About
Jalal Joudaki is a researcher whose work sits at the intersection of mechanical engineering, manufacturing, and biomedical applications, with a particular focus on optimizing machining processes for sensitive materials. His key research areas include the statistical modeling and optimization of machining parameters, sensitivity analysis, and the application of these techniques to cortical bone—a critical area for improving orthopedic surgeries and automated surgical robotics. His most cited work, a 2019 study on the statistical modeling and Sobol sensitivity analysis of single-tip tool geometry in cortical bone machining, has garnered 8 citations, highlighting its foundational role in understanding how tool design affects surgical outcomes. By applying rigorous optimization methods to bone machining, Joudaki’s contributions help bridge the gap between traditional manufacturing and precision medicine, offering insights that could enhance the safety and efficiency of computer-controlled surgical tools. His research is particularly valuable for students and engineers interested in the practical challenges of machining biological tissues, where even small improvements in tool geometry can have significant clinical impacts.
Research Focus
Key Achievements
Top Papers
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