Marianna Rosinova

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Total Citations

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About

Marianna Rosinova is a researcher at the forefront of Brain-Computer Interface (BCI) technology, with a primary focus on decoding neural signals for human-computer interaction. Her most cited work, "Voice command recognition using EEG signals" (2017, 24 citations), pioneers the integration of speech-related brain activity with BCI systems—a critical step toward hands-free, silent communication. Rosinova’s research addresses the inherent speed limitations of traditional interfaces like typing or speaking, proposing that EEG-based voice command recognition could unlock faster, more intuitive control. Her contributions are particularly significant for assistive technologies, offering new pathways for individuals with motor impairments. While her citation count reflects a growing niche, the work’s foundational nature suggests rising influence as BCI applications expand. Rosinova’s approach—merging signal processing, machine learning, and neuroscience—positions her as a key voice in the next generation of human-computer interaction. Her research not only advances BCI practicality but also challenges assumptions about the bandwidth of neural communication, making her a notable figure in this rapidly evolving field.