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UCLA Adaptive Systems Laboratory

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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 complex adaptive systems and networks with cognitive and learning abilities.

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Emphasis in the laboratory is on the use of solid theoretical foundations in addition to practical considerations in order to pursue solutions that push performance returns to new levels. Members of the laboratory are encouraged to seek a broad training across disciplines, to always question common "wisdom", and to maintain a heightened degree of awareness for fruitful interactions. They are also encouraged to keep a strong level of mathematical sophistication.

Royce Hall

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

  • Adaptation and learning.
  • Adaptive and cognitive networks.
  • Bio-inspired networks and systems. Bio-inspired cognition.
  • Network science.
  • Flocking behavior and swarming; cooperative behavior.
  • Distributed adaptive processing.
  • Self-healing adaptive circuitry.
  • Adaptive filtering, Wiener and Kalman filtering. Robust filtering.
  • Estimation and detection theories; statistical signal processing.
  • Adaptive signal processing; learning theory.
  • MIMO signal processing and communications.
  • Relay communications.
  • Signal processing for communications (E911,CDMA,OFDM,UWB,optical).
  • Signal processing for wireless location (tool).
  • Signal processing for sensor and wireless networks.
  • Adaptive techniques for spacecraft-to-earth communications for Mars exploration.
  • Signal processing for bioinformatics (UBIC).
  • Robust filtering and estimation methods.
  • Fast algorithms for large-scale structured problems.
  • Tracking techniques for wearable computing.
  • Delta and sigma-delta modulation algorithms.
  • Assessment mechanisms for undergraduate education and accreditation (EEweb).


Select videos showing the operation of sophisticated adaptive networks
These networks emulate the behavior of biological networks (such as fish schools) and they are trained using powerful adaptive diffusion strategies developed by our laboratory. These strategies endow networks with real-time learning and cognitive abilities. In these videos, the adaptive agents search together for the food source while avoiding predators and exhibiting self-organized behavior.


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Select works on biological and adaptive networks (more under publications):


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Sample articles related to the above figures:

  • Article on bacteria motility: [pdf]
  • Article on cooperative prey herding model: [pdf]
  • Article on fish schooling: [pdf]
  • Article on bird formations: [pdf]
  • Article on mobile adaptive networks: [pdf]

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




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