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About

Andrea Finke is a researcher specializing in brain-computer interfaces (BCIs), human-robot interaction, and neural signal processing, with a particular focus on developing assistive technologies for individuals with physical disabilities. Her most significant contribution lies in pioneering hybrid BCI systems that combine multiple brain activity patterns — most notably P300 event-related potentials and event-related desynchronization (ERD) — enabling more efficient and versatile control mechanisms. Her 2011 work on asynchronous, parallel online classification of P300 and ERD (25 citations) demonstrated that simultaneous use of these signals could substantially enhance command repertoires in robotic control scenarios. Finke has been instrumental in bridging neuroscience and robotics, developing multi-functional brain-robot interfaces capable of controlling humanoid platforms such as Honda's Humanoid Research Robot. Her research envisions robots as "surrogate presences" for disabled users, allowing them to engage in non-verbal social interaction through gestures and facial expressions mediated by humanoid systems. More ambitiously, her 2014 hyperscanning study explored inter-brain synchrony during machine-mediated interaction, pushing the frontier toward multi-user BCI paradigms. Across her body of work, accumulating over 60 citations, Finke has consistently advanced the case for passive and hybrid brain-machine interfaces as practical, human-centered tools for rehabilitation and autonomous robotic assistance.