{"id":9797,"date":"2025-04-01T12:49:36","date_gmt":"2025-04-01T16:49:36","guid":{"rendered":"https:\/\/engineering.jhu.edu\/designcenter\/?p=9797"},"modified":"2025-04-03T10:49:09","modified_gmt":"2025-04-03T14:49:09","slug":"the-johns-hopkins-undergraduate-brain-computer-interface-society","status":"publish","type":"post","link":"https:\/\/engineering.jhu.edu\/designcenter\/2025\/04\/01\/the-johns-hopkins-undergraduate-brain-computer-interface-society\/","title":{"rendered":"The Johns Hopkins Undergraduate Brain-Computer Interface Society"},"content":{"rendered":"\n<p class=\"has-text-align-left\">The Johns Hopkins Undergraduate Brain-Computer Interface Society (JHUBCIS) is a<br>student-led interdisciplinary club dedicated to exploring the intersection of neuroscience,<br>engineering, and computer science. Daniel Wang, a junior majoring in Applied<br>Mathematics and Statistics, has served as the club\u2019s president since Fall 2024. His<br>passion for brain-computer interfaces (BCIs) stems from his prior experience designing<br>assistive technologies for individuals with disabilities in high school. \u201cBCIs are an exciting<br>opportunity to create unique technology that empowers people with disabilities to interact<br>with the world in new ways,\u201d Daniel shared. His interests lie in neural decoding and<br>applying machine learning to interpret user intent from physiological signals\u2014whether to<br>control a robotic vehicle or avatars in a virtual environment.<br>JHUBCIS\u2019s mission is to provide undergraduates with educational and hands-on<br>experiences in BCI development, regardless of prior experience. The club hosts<br>workshops, tutorials, and in-depth projects that span hardware development, signal<br>processing, and machine learning. Through journal clubs and paper readings, members<br>gain exposure to the latest BCI research and applications, cultivating a strong foundation<br>in both theory and practice.<br>The club\u2019s projects are as interdisciplinary as the field of BCIs itself. Recent initiatives<br>include combining EEG (electroencephalography) and EMG (electromyography) modalities<br>to control robotic systems. One recent project involved controlling two turtles in a virtual<br>environment: EMG signals enabled translational movement, while EEG allowed users to<br>switch between the turtles\u2014achieving four degrees of freedom. This fusion of sensing and<br>control technology reflects the club\u2019s focus on real-time, body-driven interfaces.<br>Engineering design principles are central to JHUBCIS\u2019s approach. \u201cIt\u2019s one thing to have an<br>idea and another to implement it,\u201d Daniel explained. The team emphasizes iterative<br>prototyping\u2014starting with low-fidelity models and minimum viable products, and gradually<br>building towards fully integrated systems. By first experimenting with individual<br>components (like EEG or EMG) and later combining them, members learn how to break<br>complex challenges into achievable steps.<br>Collaboration is a hallmark of the club, which draws students from diverse engineering<br>backgrounds. Electrical engineering majors set up sensors and interface with EEG<br>hardware; machine learning enthusiasts build models to decode physiological data; and<br>software engineers ensure smooth data transfer between systems, such as between a<br>neural model and a Raspberry Pi. Even mechanical engineering holds an integral role in<br>exploring how to refine machine effectors and enhance robotic interfaces.<br>JHUBCIS continues to be a hub for innovation and interdisciplinary learning at Hopkins.<br>The club welcomes all students interested in BCIs, whether they\u2019re seeking to gain<br>technical skills or contribute to research-driven projects. Most communication occurs via<br>Discord, and students can sign up for email updates through HopkinsGroups. Stay<br>connected to learn about upcoming events, workshops, and project showcases.<\/p>\n\n\n\n<p>&nbsp;<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-right is-layout-flex wp-container-core-buttons-is-layout-d445cf74 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button has-custom-font-size has-medium-font-size\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/jhu.campusgroups.com\/jhubcis\/home\/\">Learn more about JHUBCIS<\/a><\/div>\n<\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u201cBCIs are an exciting<br \/>\nopportunity to create unique technology that empowers people with disabilities to interact<br \/>\nwith the world in new ways,\u201d &#8211; Daniel Wang<\/p>\n","protected":false},"author":47,"featured_media":9803,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_eb_attr":"","footnotes":""},"categories":[14],"tags":[],"class_list":["post-9797","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - 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