Medical Engineering and Electrical Engineering Distinguished Seminar: Andrea Goldsmith
The overarching theme of this talk is that information and communication theory have an important role to play in advancing neuroscience and biology. We first describe our use of directed mutual information to infer brain neuronal connectivity from spike trains. We then present an algorithm based on causal prediction to identify from electrocorticogram (ECoG) data the seizure onset zone (SoZ) where an epileptic seizure originates. Our algorithm well-matches doctor SoZ predictions. We also use inference based on time series to estimate the memory order of the ECoG data. Finally, we describe the design of molecular communication systems for in-body communication. Work is joint with B. Aazhang, C.-B. Chae, A. Eckford, W. Guo, J. Kim, Y. Murin, J. Parvizi, and N. Soltani.
Biography: Andrea Goldsmith is the Stephen Harris professor of Electrical Engineering at Stanford University. She serves on the corporate boards of Medtronic (MDT) and Crown Castle (CCI), and also co-founded and served as CTO of Plume WiFi and of Quantenna Communications (QTNA). Dr. Goldsmith is a member of the National Academy of Engineering and the American Academy of Arts and Sciences. She has received several awards for her work including the IEEE Sumner Award and the Silicon Valley Business Journal's Women of Influence Award. She has authored 3 books on wireless communications and is an inventor on 29 patents. ee.stanford.edu/~andrea