Papers

3

Total Citations

29

H-Index

3

About

Vangelis Sakkalis is a researcher specializing in brain-computer interfaces (BCIs), neural engineering, and assistive technologies, with a particular focus on enabling autonomy for individuals living with severe neuromuscular and paralytic conditions. His work centers on steady-state visual evoked potential (SSVEP)-based BCIs, a paradigm in which users direct their gaze toward flickering visual stimuli to generate detectable brainwave patterns that can be translated into real-world commands. Among his most significant contributions is the development and validation of SSVEP-driven systems for robotic navigation, demonstrating their practical applicability in real-world environments rather than controlled laboratory settings — a critical step toward clinical and everyday usability. His 2019 study on single-channel BCI-controlled robotic car navigation reflects his commitment to simplifying and miniaturizing these systems without sacrificing reliability. More recently, his 2022 work explored the use of dry EEG electrodes in low-cost BCI setups, pushing the technology toward greater accessibility and user comfort. With a growing citation record across these interconnected studies, Sakkalis stands as a meaningful contributor to the convergence of neuroscience and robotics, helping translate laboratory-based neural interfaces into practical assistive tools for people with motor disabilities.

Research Focus

Key Achievements

3
H-Index
3
Papers
29
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Single-Channel SSVEP-Based BCI for Robotic Car Navigation in Real World Conditions
12 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: FORTH Institute of Electronic Structure and Laser, FORTH Institute of Computer Science

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago