Prof. Bezerianos is a pioneer and leading expert in neuroengineering, biomedical signal processing, and brain-connectivity analysis. His extensive work in EEG, functional connectivity, cognitive workload, and human-machine interaction brings strong methodological expertise. His contributions in graph-theoretic brain-network analysis and real-time neural decoding are directly aligned with the goals of a BCI infrastructure.

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Dr. Nitish Thakor is a Professor at Johns Hopkins University, where he is internationally recognized for his contributions to biomedical engineering, neuroengineering, and medical instrumentation. His research spans neural signal processing, brain–machine interfaces, medical devices, and rehabilitation technologies, with a strong emphasis on translational research that bridges fundamental science and clinical application. He is a Fellow of multiple professional societies and has made seminal contributions to the development of technologies that advance healthcare and human–machine interaction.

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Prof. Babiloni is a Full Professor of Physiology and Biomedical Engineering at Sapienza University of Rome, with a PhD in Computational/Neural Engineering and a long track record in neuroengineering and BCI research. He has authored hundreds of publications and is among the highly cited researchers in the field. His expertise in EEG, neurophysiology, neuroengineering, and applied BCI makes him highly suited to advise the future growth of the BCI infrastructure.
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Prof. Panetsos is a Full Professor of Neuroscience at the Complutense University of Madrid and a recognized leading expert in systems neuroscience, neuroprosthetics, and neural rehabilitation. His research spans brain plasticity, sensory–motor integration, and neurotechnology for restoring function. His background in translational neuroscience and neuroprosthetic systems offers valuable insight for the design and validation of BCI infrastructure and applications.

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Prof. Müller-Putz is a Full Professor and Head of the Institute of Neural Engineering at Graz University of Technology, where he also leads the Laboratory of Brain–Computer Interfaces. He has over two decades of experience in neuroengineering, biosignal processing, and BCI research, with major contributions in EEG/ECoG-based BCIs, neuro-assistive technologies, and hybrid BCI systems. He has authored numerous high-impact publications and is internationally recognized as one of the leading scientists in the BCI field.

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Demetris Iacovides is a Partner at Brain Gain Fund, part of Metavallon VC. He brings over seven years of venture capital experience, with a focus on deep-tech startups at the pre-seed and seed stages. Prior to venture capital, he worked in management consulting (PwC, Deloitte) across the UK and Greece, as well as in the pharmaceutical industry (Genesis Pharma Greece). He holds a BEng in Chemical Engineering from University College London (UCL), an MSc in Advanced Chemical Engineering with Biotechnology from Imperial College London, an MSc in Bio-Social Sciences from the London School of Economics (LSE), and an MSc in Management of Biotech Companies from Grenoble Ecole de Management.
In his role on the BCI Advisory Board, his objectives are to:

• Share and disseminate practical expertise in entrepreneurship and venture capital with students through lectures, seminars, and workshops.

• Provide high-level strategic guidance and mentoring to early-stage teams exploring or building new ventures, helping them establish clear direction and sound foundations.

• Identify and evaluate potential fund-level spin-outs that may be strategically and financially attractive to Brain Gain Fund and Metavallon VC.