Vangelis Sakkalis
When
26 Mar 2021, 16:00 Athens time via Zoom
Title
Brain Computer Interfaces: Real world applications and Future promises
Abstract
Recent advances in electroencephalography (EEG) technology has proven really successful, over the years, in the measurement and analysis of brain functions with a significant contribution in studying a variety of mental and neurological diseases. The success in decoding the brain waves of the EEG gave rise to a much broader variety of non-invasive Brain-Computer interfacing (BCI) applications that allows severely paralyzed people to control computer applications and even act independently and socialize. EEG-based BCIs are highly dependent on the stimulation rendered by various visual, auditory and somatosensory stimuli. This talk will address techniques for decoding brain activity modulations occurring in the visual cortex after encountering repeated visual stimuli, will refer to typical machine learning and modern deep learning classification schemes, and present navigation applications in real environments.
About the speaker
Dr. Vangelis Sakkalis holds a Research Director position in the Institute of Computer Science – Foundation for Research and Technology (ICS - FORTH). He is the Head of the Computational Neuroscience group and the Head of Multiscale Cancer Modelling group at the Computational Biomedicine Laboratory. He co-founded “traqbeat”, a remote, medical-grade patient monitoring startup, in which he is currently serving as CEO. He received his PhD in Electronic and Computer Engineering after completing his Master's degree at Imperial College of Science, Technology and Medicine, UK. His background falls in Biomedical Engineering, Atomic-Molecular Physics, Optoelectronics and Laser. He has been a member of the board of Directors at FORTH and was elected president of the board of researchers at FORTH. He holds a Visiting Professor appointment at the University of Crete, School of Medicine. His research interests include biosignal and image analysis, visualization, classification algorithms and biostatistics applied in computational medicine, cognitive neuroscience and biomedical informatics. He has extensive experience in the scientific coordination of research projects at the national and European levels. He has published more than 150 papers in scientific archival journals, proceedings of international conferences & workshops and scientific newsletters, related to his fields of expertise. He is highly interested in translating academic research to innovative growth. He has given numerous invited lectures worldwide and his research has been funded by numerous funding agencies and companies.
