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 1, survey 2, video)
• 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, video)