EE 693B Special Topics in EE: Artificial Intelligence
Date: Mon, January 10, 2022
Time: 2:00pm
Location: MW 2:00-3:15pm Keller 413
Speaker: Dr. June Zhang, Assistant Professor
Course Summary
Graph signal processing (GSP) extends classical signal processing concepts such as sampling and frequency-domain analysis to analyze high-dimensional data on networks (i.e., graph signals). Real-world examples of graph signals are 1) outputs in a sensor network, which can be abstracted as a graph with time-varying node values, 2) social networks data such as Twitter or Facebook, 3) gene networks, 4) EEG readings of brain activities, etc. Graph signals are complex due to the interactions between multiple agents over time. Since the research area is new, there are many challenges and open questions, which the class will raise, discuss, and potentially solve.
More details for registration are at EE 693B Spec Topics in EE: Artif Intel • Section 001 (hawaii.edu) or contact Dr. Zhang.