Bio-signal and Systems
Biological systems are complex and diverse, making it extremely challenging to interpret measurement data, to understand underlying working principles, to design medical devices and to engineer novel functions in living organisms. Faculty members in Bio-signal and systems tackle this gaping problem by using various quantitative tools developed from system engineering, which include control, circuit, information, signaling processing, network and graph theories. When combined, these tools enable new capabilities for emerging frontiers across life and physical sciences, such as systems biology, synthetic biology, medical implants, brain-machine interface and optogenetics.
Research Area Faculty
|Electrical and Computer Engineering||
Room 304 Frank H T Rhodes Hall