Matthew Pediaditis

FORTH Institute of Electronic Structure and Laser

Papers

Total Citations

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About

Matthew Pediaditis is a researcher specializing in brain-computer interfaces (BCIs) and neural engineering, with a particular focus on developing accessible assistive technologies for individuals with severe neuromuscular disorders and paralysis. His work centers on steady-state visual evoked potential (SSVEP)-based BCI systems, which enable users to control external devices by focusing their gaze on flickering visual stimuli — translating neural signals into actionable commands without invasive procedures. Among his most notable contributions is the development of single-channel SSVEP-based BCIs for real-world robotic navigation, demonstrating that effective control systems need not rely on complex, multi-electrode setups. His 2019 paper on robotic car navigation has garnered 12 citations, while his subsequent 2022 work exploring the application of dry EEG electrodes — a more practical and user-friendly alternative to traditional wet electrodes — has accumulated 8 citations, reflecting growing community interest in his approach. Pediaditis's research is particularly significant for its emphasis on low-cost, practical implementation, bringing sophisticated BCI technology closer to real-world clinical and everyday use. His contributions represent meaningful progress toward greater autonomy and quality of life for people living with severe physical disabilities.