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About

Klaas Bombeke is a leading researcher at the intersection of cognitive neuroscience, human factors, and industrial automation, with a primary focus on enhancing worker safety and performance in Industry 4.0 environments. His most impactful work centers on the real-time detection of cognitive overload using EEG and EOG measurements, a critical challenge as factories become increasingly automated. His 2022 paper, "Danger, high voltage! Using EEG and EOG measurements for cognitive overload detection in a simulated industrial context," has garnered 29 citations, demonstrating its influence in the field. Bombeke has also identified predictive EEG features for cognitive overload in assembly workers, contributing to the design of adaptive human-machine interfaces. Beyond cognitive load, he has made notable contributions to medical technology, co-authoring a highly cited study on the visual quality assessment of H.264/AVC compressed laparoscopic video, addressing the bandwidth and storage demands of tele-surgery and robotic surgery. His work on ergonomics and safety in collaborative robotics further underscores his commitment to creating safer, more efficient industrial workplaces. Bombeke’s research is pivotal in shaping the future of human-robot collaboration and operator well-being.