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About

Susanna Gordleeva is a leading researcher at the intersection of neuroscience, robotics, and biomimetics, whose work bridges the gap between biological control systems and engineered machines. Her primary research areas include brain-computer interfaces (BCI), neural control of locomotion, and biomorphic robotics. Gordleeva’s most notable contribution is the development of a neuro-integrated control system for lower-limb robotic exoskeletons, which uses motor-imagery EEG patterns to enable intuitive, brain-driven movement—a breakthrough with 45 citations that holds promise for rehabilitation technologies. She has also made significant strides in understanding central pattern generators (CPGs), reviewing how these neural circuits drive swimming in animals and translating that knowledge into biomorphic robots. Her work on tactile perception, including studies on oscillatory brain responses to touch and functional network specificity, has garnered 19 combined citations, revealing how the brain processes different tactile submodalities. Through modeling and experiments with biomorphic robotic fish, Gordleeva demonstrates how biological principles can inspire agile, efficient underwater robots. Her interdisciplinary approach—merging computational modeling, neurophysiology, and robotics—positions her as a key figure in advancing both assistive technologies and autonomous systems.