Abstract
Brain-computer interfaces are moving beyond laboratory demonstrations toward real-world systems that integrate sensing hardware, signal processing, machine learning, and human-AI interaction. Yet translation remains difficult, with persistent challenges in usability, technical capability, and practical use cases.
This talk will provide a concise overview of the current BCI landscape. I will introduce the core components of BCI systems and discuss real-world examples and challenges from brain-sensing wearables, EEG-based brain-state decoding, sleep and seizure monitoring, and adaptive human-AI interfaces. The talk will conclude by examining emerging directions in the field and new models for translating academic research into clinical and consumer technologies.
This talk will provide a concise overview of the current BCI landscape. I will introduce the core components of BCI systems and discuss real-world examples and challenges from brain-sensing wearables, EEG-based brain-state decoding, sleep and seizure monitoring, and adaptive human-AI interfaces. The talk will conclude by examining emerging directions in the field and new models for translating academic research into clinical and consumer technologies.
Bio
Sheng-Hsiou (Shawn) Hsu is Chief Technology Officer at Kura Care, where he leads the development of AI-enabled digital health technologies. He holds a Ph.D. in Bioengineering from UC San Diego and a B.S. in Electrical Engineering from National Taiwan University.
His work spans neurotechnology, brain-computer interfaces, wearable sensing, and human-AI interaction. He began his career at Google X and was a founding team member at NextSense, a neurotechnology startup developing brain-sensing wearable technologies for brain health. He later served as Director of Data Science at Arctop, where he worked on brain-state decoding and BCI systems. His work focuses on translating biomedical signals and multimodal data into practical technologies for health, clinical care, and human-centered AI systems.
His work spans neurotechnology, brain-computer interfaces, wearable sensing, and human-AI interaction. He began his career at Google X and was a founding team member at NextSense, a neurotechnology startup developing brain-sensing wearable technologies for brain health. He later served as Director of Data Science at Arctop, where he worked on brain-state decoding and BCI systems. His work focuses on translating biomedical signals and multimodal data into practical technologies for health, clinical care, and human-centered AI systems.