Welcome to the Frontpage - UCLA Adaptive Systems Laboratory

About the UCLA Adaptive Systems Laboratory

[Professor Ali H. Sayed, Electrical Engineering Department, UCLA, CA 90095, USA.]

The Adaptive Systems Laboratory at UCLA fosters a rich interdisciplinary research program on the analysis and design of adaptive systems and networks with cognitive and learning abilities.

Univ. Wash. Colloquium (59min, 10/2013)

KTH Access Lecture, Sweden (65min, 3/2014) ICASSP Plenary, Canada (76min, 5/2013)

Recent News Highlights:

2017: Professor Sayed appointed Dean of Engineering at EPFL, Switzerland.
2016: 29 UCLA faculty on Thomson Reuters' list for influential scholarship.
2016: Professor Sayed receives Education Award from the IEEE Signal Processing Society.
2016: Best Paper Award from the European Association for Signal Processing.
2015: Professor Sayed is recognized as Highly Cited Researcher by Thomson Reuters.
2015: Professor Sayed voted to serve as President-Elect of IEEE Signal Processing Society.
2015: Best Paper Award from the IEEE Signal Processing Society.
2014: Professor Sayed is recognized as Highly Cited Researcher by Thomson Reuters.
2014: UCLA Electrical Engineering plays key role in DARPA “Neuroprosthesis” research.
2014: Professor Sayed publishes Adaptation, Learning, and Optimization over Networks.
2014: Professor Sayed receives multiple recognitions.
2013: Professor Sayed receives multiple awards including the Technical Achievement Award.
2013: Professor Sayed delivers plenary lecture at EUSIPCO, Marrakech, Morocco.
2013: Professor Sayed delivers plenary lecture at ICASSP, Vancouver, Canada.
2013: Professor Sayed awarded a Leverhulme Visiting Professorship, United Kingdom.
2012: Professor Sayed named Fellow by the American Association for the Advancement of Science.
2012: Professor Sayed delivers plenary lecture at IEEE Workshop on Machine Learning, Spain.

Research Activities:

Members of the laboratory are engaged in research investigations along several directions including (recent projects):

Adaptation and learning (books and videos)
Machine learning. Online learning. Big data analytics. ( course )
Adaptive networks; diffusion strategies (surveys [1], [2], [3], seminar, course & videos )
Data and network science (courses )
Multi-agent networks. Emergent behavior. ( survey, editorial, seminar, course & videos )
Signal processing over graphs. ( course & videos )
Flocking and swarming behavior. Biological networks. ( software & articles )
Bio-inspired processing and design. ( software & articles )
Information-processing theories. System theory.
Detection and estimation theories; statistical signal processing.
Neural signal processing.
Self-healing circuitry.
Signal processing for wireless location (tool).
Assessment mechanisms for educational programs (EEweb, video)

[Professor Ali H. Sayed, Electrical Engineering Department, UCLA, CA 90095, USA.]