Institute of Information Science, Academia Sinica



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Real-world applications of Electroencephalogram and brain-computer interfaces


Real-world applications of Electroencephalogram and brain-computer interfaces

  • LecturerProf. Tzyy-Ping Jung (UC San Diego)
    Host: Chien-Min Wang
  • Time2023-01-10 (Tue.) 14:00 – 16:00
  • LocationAuditorium 106 at IIS new Building
Over the past three decades, considerable progress has been made in basic neuroscience research and next-generation neurotechnology. Brain-Computer Interface (BCI), which enables a direct connection between the user's brain and external devices, is one of the primary founders in these fields. Although BCI technologies have had some success, new breakthroughs and innovations have mainly been limited to laboratory demonstrations. Our research team is dedicated to overcoming many barriers and creating practical applications to translate laboratory demonstrations into real-world BCI applications. This presentation will cover recent developments in cognitive and affective state monitoring, such as stress and emotion, and clinical BCI applications, such as the diagnosis of glaucoma, multiple sclerosis, and major depressive disorder.
Tzyy-Ping Jung is the Co-Director of the Center for Advanced Neurological Engineering, an Associate Director of the Swartz Center for Computational Neuroscience, and an Adjunct Professor of the Department of Bioengineering at the University of California San Diego, CA, USA. He is also an Adjunct Professor of the College of Education at National Tsing Hua University, and the Department of Electrical Engineering at National Chiao Tung University in Taiwan. Dr. Jung established transformative techniques for applying blind source separation to decompose multichannel EEG/MEG/ERP and fMRI data and was elevated to an IEEE Fellow for his contributions to blind source separation for biomedical applications in 2015. He is also a Fellow of Asia-Pacific Artificial Intelligence Association (AAIA). Dr. Jung’s research emphasis has been placed on the integration of cognitive science, computer science and engineering, neuroscience, bioengineering, and electrical engineering. Dr. Jung’s work is truly interdisciplinary and well-cited by peers (>38,600 total citations and h-index = 83, according to Google Scholar). He has published many well-cited articles in prestigious scientific journals such as Science, PNAS, PLoS Biology, and J. Neurosciences, engineering journals such as Proceedings of the IEEE, IEEE Trans Biomedical Engineering, and clinical journals such as Gerontology and JAMA Ophthalmology.