Giovanna Mastrati
Papers
1
Total Citations
2
H-Index
1
About
Giovanna Mastrati is a rising researcher at the intersection of biomedical engineering and cognitive neuroscience, with a primary focus on mental workload assessment and human-robot interaction. Her most cited work, "EEG-Based Stress Assessment During Robot Assisted Surgery," introduces an adaptive pipeline for processing electroencephalographic (EEG) signals to evaluate cognitive load during surgical robot training. This study stands out for its innovative comparison of statistical methods with machine learning classifiers, offering a more robust and real-time approach to stress monitoring than prior research. By advancing the use of EEG in high-stakes medical environments, Mastrati’s contributions hold promise for improving surgeon training and patient safety. With 2 citations already, her work is gaining traction as a foundational reference for integrating neurophysiological data into robotic surgery systems. Her research not only bridges gaps between signal processing and clinical application but also opens new avenues for adaptive training protocols. As an emerging scholar, Mastrati is poised to shape how we understand and mitigate cognitive overload in complex, technology-driven tasks.
Research Focus
Key Achievements
Top Papers
- 1