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.

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

• Adaptation and learning (books and videos)
• Adaptive networks; diffusion strategies (survey article)
• Information-processing theories. System theory.
• Machine learning. Signal processing over graphs.
• Biological networks. Network science.
• Flocking and swarming behavior.
• Self-healing circuitry.
• Detection and estimation theories; statistical signal processing.
• Signal processing for wireless location (tool).
• Assessment mechanisms for educational programs (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.

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

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]