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Georgios B. Giannakis

American computer scientist (born 1958)

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  • 4 chapters

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Through Wireless, Big data and Renewable energy

Giannakis is internationally known for his work in the areas of statistical signal processing, distributed estimation using sensor networks, wireless communications and cross-layer network designs, on topics such as auto-regressive moving average system identification using higher-order statistics, principal component filter banks, linear precoding, multicarrier modulation, ultra-wideband communications, cognitive radios, and smart grids. Seminal work includes the development of linear precoding wireless communication systems, which provided a unified approach for designing space–time block codes that achieve data high rates and reliability, and proposal of zero-padding as an alternative to the cyclic prefix for multi-carrier communication systems, which had impact in the multi-band ultra wide band standard. Current research focuses on big data, graph learning, and network science with applications to communication, and power networks with renewables.

Giannakis has left a substantial academic legacy as an advisor of more than 60 PhD and 35 MSc dissertations, as well as a mentor of more than 30 postdoctoral researchers at the University of Virginia and the University of Minnesota.

Early life

Born in Piraeus and raised in Corinth, Greece, Giannakis received his MEng in Electrical and Mechanical Engineering from the National Technical University of Athens in 1981, his M.Sc. in Electrical Engineering from the University of Southern California in 1983, his M.Sc. in mathematics from the University of Southern California in 1986, and his PhD in Electrical Engineering from the University of Southern California also in 1986. After completing his Ph.D., he started his academic career at the University of Virginia in 1987 and moved to the University of Minnesota in 1999. As a professor, he built a distinguished research group making contributions in many areas including statistical signal processing, wireless communications, sensor and mobile ad hoc networks, and artificial intelligence (AI).

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