Papers
2
Total Citations
18
H-Index
2
About
Aysun Simsek is a pioneering researcher at the intersection of surgical robotics and cognitive neuroscience. Her work focuses on understanding how surgeons learn complex motor skills when using robot-assisted surgery systems, a field that combines minimally invasive surgical technology with real-time brain monitoring. Simsek’s major contributions include using functional near-infrared spectroscopy (fNIRS) to map brain activation patterns during skill acquisition, providing the first neurophysiological evidence of how training simulators enhance surgical proficiency. Her most cited paper, “Studying Brain Activation during Skill Acquisition via Robot-Assisted Surgery Training” (2021, 16 citations), demonstrates how robotic systems improve precision and reduce hospitalization times while revealing the neural mechanisms behind these benefits. In her earlier work, “Effect of Robotic Surgery Simulators in Training Assessed by Functional Near-Infrared Spectroscopy (fNIRs)” (2020, 2 citations), she established a framework for objectively evaluating simulator effectiveness. Simsek’s research has profound implications for surgical education, offering data-driven methods to optimize training curricula and accelerate the learning curve for robotic surgery. Her interdisciplinary approach—bridging engineering, medicine, and cognitive science—positions her as a leading voice in the future of surgical training and neuroergonomics.
Research Focus
Key Achievements
Top Papers
- 1
- 2