Bahram Shafai

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About

Bahram Shafai is a distinguished researcher whose work lies at the intersection of control systems, signal processing, and biomedical engineering. He is best known for pioneering the development of noninvasive brain-computer interfaces (BCIs), particularly through his influential 2010 paper on a brain-controlled robotic platform using steady-state visual evoked potentials (SSVEP) acquired via EEG. This capstone project, led by four undergraduate students, demonstrated a practical, real-time BCI system capable of controlling an iRobot, showcasing Shafai’s commitment to hands-on, interdisciplinary education and accessible neurotechnology. With over a decade of impact, this work has garnered 13 citations and remains a foundational reference for researchers exploring SSVEP-based robotic control. Beyond this, Shafai has made significant contributions to robust control theory, fault detection, and the application of linear matrix inequalities in dynamic systems. His research bridges theoretical rigor with tangible engineering solutions, inspiring students and peers alike to push the boundaries of human-machine interaction. Shafai’s legacy is defined by his ability to translate complex control and signal processing concepts into transformative, real-world applications.