2018 - Member of the National Academy of Engineering For contributions to the theory and applications of adaptive signal processing.
2012 - Fellow of the American Association for the Advancement of Science (AAAS)
2001 - IEEE Fellow For contributions to adaptive filtering and estimation algorithms.
His primary areas of study are Adaptive filter, Mathematical optimization, Control theory, Algorithm and Electronic engineering. His studies deal with areas such as Mean squared error, Kalman filter, Energy conservation and Algebra as well as Adaptive filter. The study incorporates disciplines such as Node, Estimation theory, Adaptive system and Stochastic process in addition to Mathematical optimization.
His research investigates the connection between Control theory and topics such as Equalization that intersect with issues in Equalizer and Transmitter. His Algorithm study also includes
Ali H. Sayed mainly focuses on Mathematical optimization, Control theory, Algorithm, Adaptive filter and Artificial intelligence. His work in Mathematical optimization addresses subjects such as Network topology, which are connected to disciplines such as Distributed computing. His research in Control theory intersects with topics in Electronic engineering and Communication channel.
His biological study spans a wide range of topics, including Signal-to-noise ratio and Fading. His Adaptive filter study integrates concerns from other disciplines, such as Adaptive algorithm and Signal processing. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Adaptation.
Ali H. Sayed spends much of his time researching Mathematical optimization, Optimization problem, Artificial intelligence, Network topology and Rate of convergence. His work investigates the relationship between Mathematical optimization and topics such as Stability that intersect with problems in Range. His work carried out in the field of Artificial intelligence brings together such families of science as Multi-task learning, Task, Machine learning and Adaptation.
His Network topology research is multidisciplinary, incorporating perspectives in Theoretical computer science, Inference, Adaptive system and Asymptotic analysis. His Rate of convergence study incorporates themes from Linear function, Convex function, Constant, Algorithm and Robustness. His studies in Algorithm integrate themes in fields like Matrix and Graph.
His primary scientific interests are in Mathematical optimization, Optimization problem, Network topology, Rate of convergence and Algorithm. His Mathematical optimization study combines topics in areas such as Stability, Stochastic gradient descent, Symmetric matrix and Gradient descent. His Network topology research includes themes of Theoretical computer science, Inference, Cluster analysis, Constant and Adaptive system.
His Algorithm study combines topics from a wide range of disciplines, such as Network tomography, Big data, Asynchrony and Signal processing. His study in Signal processing is interdisciplinary in nature, drawing from both Ranging, Beamforming, Adaptive filter and Echo. His research investigates the connection with Wireless and areas like Wireless sensor network which intersect with concerns in Control theory.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Fundamentals of adaptive filtering
Ali H. Sayed.
Network-based wireless location: challenges faced in developing techniques for accurate wireless location information
A.H. Sayed;A. Tarighat;N. Khajehnouri.
IEEE Signal Processing Magazine (2005)
Ali H. Sayed.
Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks
Zhi Quan;Shuguang Cui;A.H. Sayed.
IEEE Journal of Selected Topics in Signal Processing (2008)
Diffusion LMS Strategies for Distributed Estimation
F.S. Cattivelli;A.H. Sayed.
IEEE Transactions on Signal Processing (2010)
A Leakage-Based Precoding Scheme for Downlink Multi-User MIMO Channels
M. Sadek;A. Tarighat;A.H. Sayed.
IEEE Transactions on Wireless Communications (2007)
Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis
C.G. Lopes;A.H. Sayed.
IEEE Transactions on Signal Processing (2008)
Optimal Multiband Joint Detection for Spectrum Sensing in Cognitive Radio Networks
Zhi Quan;Shuguang Cui;A.H. Sayed;H.V. Poor.
IEEE Transactions on Signal Processing (2009)
Incremental Adaptive Strategies Over Distributed Networks
C.G. Lopes;A.H. Sayed.
IEEE Transactions on Signal Processing (2007)
Diffusion Strategies for Distributed Kalman Filtering and Smoothing
F S Cattivelli;A H Sayed.
IEEE Transactions on Automatic Control (2010)
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