Ali H. Sayed

Ali H. Sayed

Awards

IEEE Fourier Award for Signal Processing

Biography

A world leader in adaptive signal processing, the algorithms and methodologies developed by Ali H. Sayed have taken adaptive system design to a new level. These systems feature self-learning abilities that continually adjust their structure in response to interactions with the environment. They are used across many fields including communication systems, guidance and control, biomedical instrumentation, and robotics. His energy conservation approach to adaptive filters helped circumvent difficulties encountered by the nonlinear and stochastic nature of adaptive algorithms. He was among the early proponents of adaptive mitigation techniques applicable to circuit imperfections; wireless location technologies; and enhanced multiuser, multiantenna receivers. He pioneered the concepts of diffusion learning and regularized robust filtering, which are driving innovation in multiagent system design such as robotic swarms and networked intelligent systems and monitoring of smart grids.

An IEEE Fellow, Sayed is dean of engineering at the Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland.