Karla I. Fernandez-Ramirez
Papers
2
Total Citations
6
H-Index
2
About
Karla I. Fernandez-Ramirez explores the intersection of chaos theory and signal processing, with a particular focus on ultrasonic imaging and source localization. Her work demonstrates how chaotic dynamics can be harnessed to improve beamforming algorithms and scanning strategies. In her most-cited paper, "A study of chaotic searching paths for their application in an ultrasonic scanner" (2018, 4 citations), she investigates how non-repeating, chaotic trajectories can enhance the efficiency of ultrasonic scanning systems. Building on this, her second major contribution, "Chaos Optimization Applied to a Beamforming Algorithm for Source Location" (2018, 2 citations), applies chaotic optimization techniques to refine beamforming for more accurate source detection. Though her citation counts are modest, these studies represent a novel approach to a classic engineering challenge—using deterministic chaos to break free from conventional scanning patterns and improve resolution. Fernandez-Ramirez’s work is of particular interest to researchers in non-destructive testing, medical imaging, and acoustic signal processing, offering a fresh perspective on how nonlinear dynamics can be leveraged for practical sensing applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2