Engineering Brain Computer Interfaces: Experimental Challenges and Adaptive Optimization

Graduate Seminar presented by the Department of Electrical and Computer Engineering
Brain-Computer Interfaces (BCIs) are transforming how we interact with technology, bridging neuroscience, machine learning, and embedded systems. This talk addressing signal acquisition (EEG, MEG, LFP), real-time AI processing, and hardware challenges and how AI models operate near phase transitions for optimal adaptation. This talk highlights cybersecurity, scalability, and power efficiency, positioning BCIs as a frontier of AI-driven neurotechnology.