Sensor, Brain and the Interface

One of the motivations for sensor design is to mimic the biological sensory system. With a deeper understanding of the biological system, engineers are able to leverage advanced technologies to build bio-inspired intelligent sensors, computational systems, adaptable circuits and architectures, and heterogeneous networks. Given the maturity of sensor technology and silicon electronics, it is time to close the gap between life science and the digital world. This talk will explore solutions to close the gap between life science and the digital world by using a sensor-brain-interface system, which introduces sensor design into traditional brain-machine-interface system. This talk will start with introduction to the technology of neural signal acquisition and neural stimulating, followed by open/closed-loop applications to demonstrate the potential of a sensor-brain-interface system.
Milin Zhang received the B.S. and M.S. degrees in electronic engineering from Tsinghua University, Beijing, China, in 2004 and 2006, respectively, and the Ph.D. degree in the Electronic and Computer Engineering Department, Hong Kong University of Science and Technology (HKUST), Hong Kong. She is currently a postdoctoral researcher at the University of Pennsylvania. She has authored over 30 papers in peer-reviewed journals and conferences, and has one patent issued. She has received the 2014 ISCAS best paper award of the BIOCAS track. Her research interests include designing of traditional and various non-traditional imaging sensors, such as polarization imaging sensors and focal-plane compressive acquisition image sensors. She is also interested in brain-machine-interface and relative biomedical sensing applications and new sensor designs.