Gianluca Borghini
Papers
4
Total Citations
86
H-Index
4
About
Gianluca Borghini is a leading researcher at the intersection of neuroergonomics and human-machine interaction, with a primary focus on cognitive state monitoring in high-stakes environments. His work centers on using electroencephalography (EEG) to measure mental workload and attention during complex tasks, from flight simulation to robotic surgery. Borghini’s most cited paper (46 citations) investigates how EEG-based brain-computer interfaces affect performance during simultaneous flight and attentional tasks, providing foundational insights into cognitive overload. He has made significant contributions to surgical training, developing neurophysiological metrics to objectively assess skill acquisition in robot-assisted laparoscopic surgery, as demonstrated in his 2016 study on the da Vinci system. His 2019 work further advanced the field by using EEG-based workload indices to evaluate the similarity of different surgical robotic systems. Most recently, Borghini has turned his attention to Industry 5.0, authoring a 2025 review that bridges the gap in human factors characterization through neurophysiological techniques. With a career spanning over a decade, his research consistently demonstrates how real-time brain monitoring can optimize training, enhance safety, and improve human performance in critical operational settings.
Research Focus
Key Achievements
Top Papers
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