Logan Mathesen
Papers
1
Total Citations
10
H-Index
1
About
Logan Mathesen is a researcher at the forefront of manufacturing systems engineering, with a primary focus on multifidelity modeling, simulation, and optimization of production lines. His most-cited work, "Multifidelity Modeling for Analysis and Optimization of Serial Production Lines" (2020), addresses the critical challenge of balancing computational efficiency with accuracy in complex manufacturing environments. By integrating high- and low-fidelity models, Mathesen enables faster, more reliable decision-making for system design and control—a contribution that is especially timely given the rise of flexible, data-driven manufacturing technologies such as 3-D printing, soft robotics, and nanotechnology. His research directly supports the optimization of highly customizable production systems, where traditional modeling approaches often fall short. With 10 citations on this work alone, Mathesen’s influence is growing among both academic and industrial audiences seeking practical solutions for modern manufacturing challenges. His achievements reflect a deep commitment to advancing the theoretical and computational tools needed to realize the full potential of next-generation, information-rich production environments.
Research Focus
Key Achievements
Top Papers
- 1