Ahmet Omurtag
Papers
4
Total Citations
45
H-Index
4
About
Ahmet Omurtag is a neuroscientist and biomedical engineer whose research sits at the compelling intersection of neurophysiology, human factors, and advanced manufacturing technologies. His work focuses primarily on understanding and measuring cognitive workload, psychological safety, and human performance in contexts where workers collaborate with autonomous systems and collaborative robots (cobots). Operating within the emerging Industry 5.0 framework, Omurtag has pioneered multimodal assessment methodologies that combine neural imaging, physiological signals, behavioral measures, and subjective evaluations to create comprehensive pictures of human mental states during human-robot collaboration. Among his most impactful contributions is his investigation into how workers experience stress, trust, and cognitive load when operating alongside cobots in smart factory environments — a challenge of growing global significance. His 2023 multimodal workload assessment work has garnered 25 citations, reflecting strong community interest in bridging neuroscience with industrial safety. His research on building trust correlates for autonomous systems and applying neuroimaging to enhance mental health in manufacturing settings further demonstrates his commitment to making workplaces both productive and psychologically safe. Omurtag's scholarship offers researchers and engineers practical frameworks for designing more human-centered automated work environments.
Research Focus
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Top Papers
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