Prof. Ali H. Sayed
EPFL Lausanne / Schweiz
15. Juni 2021, 13:00 Uhr – 13:30 Uhr (CET); via Zoom
„Learning over Graphs“
This talk explains how agents over a graph can learn from dispersed information and solve inference tasks of varying degrees of complexity through localized processing. The presentation also shows how information or misinformation is diffused over graphs, how beliefs are formed, and how the graph topology helps resist or enable manipulation. Examples will be considered in the context of social learning, teamwork, distributed optimization, and adversarial behavior.
Since 2017, A. H. Sayed is Dean of Engineering at EPFL, Switzerland, where he directs the Adaptive Systems Laboratory. He has served as distinguished professor at UCLA (2001-present) where he also held the position of Chairman of Electrical Engineering between 2005 and 2010, having previously been Vice-Chairman from 2002 to 2005. Prior to this he served as Associate Professor of Electrical Engineering at UCLA (1996-2001) and as Assistant Professor of Electrical and Computer Engineering at UCSB (1993-1996) after he started his career at Stanford University as a Research Associate in 1992.
Prof. Sayed’s research interests span several areas including adaptation and learning theories, data and network sciences, statistical inference, multi-agent networks, and biologically-inspired designs.