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Georgios B. Giannakis (born February 27, 1958) is a Greek–American Professor, engineer, and inventor. At present he is Professor in Wireless Telecommunications, and Director of the Digital Technology Center at the University of Minnesota. Giannakis is known for his work in the areas of statistical signal processing and wireless communications on topics such as auto regressive moving average system identification using higher order statistics, principle component filterbanks, linear precoding, multicarrier modulation, ultrawideband communication, cognitive radio, 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 wideband standard. Giannakis has left a substantial academic legacy as an advisor of more than forty Ph.D. dissertations at The University of Virginia and The University of Minnesota.

Early Life
Born in Corinth, Greece, Giannakis received his MA in Electrical 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, and data analytics.

System Identification Using Higher Order Statistics
Giannakis established an important result in the identification of a linear system based only on its output. He showed that non-minimum phase and non-causal parametric auto-regressive moving average models can be uniquely recovered via higher-order statistics. Only minimum phase models can be recovered if second-order statistics of the output are used.

Linear Constellation Precoding
Giannakis and collaborators made fundamental contributions to linear precoding in wireless communication systems. One main contribution was to show how block-based linear precoding could transform a frequency-selective MIMO channel into a set of parallel frequency-flat channels. Another main contribution was to develop a unified approach to designing space-time block codes in MIMO channels. Such codes enable maximum diversity and coding gains at full rate (1 symbol per channel use) for any number of transmit-receive antennas. Linear precoding is widely used in commercial wireless systems like IEEE 802.11n and 3GPP LTE.

Resilient Block-Based Modulation
Giannakis and collaborators developed a multicarrier communication technique that is resilient to frequency-selective multi-user and inter-symbol interference. He showed that designed linear multicarrier precoding combined with a block spreading operation together render the user signature matrix at the receiver well-conditioned, without power control or bandwidth over-expansion. This result shows that block processing of communication signals becomes an important dimension that can improve communication performance without altering power or bandwidth.

Multicarrier Modulation
Giannakis and collaborators developed several significant innovations in multi-carrier modulation. One important development was the use of zero-padding instead of a cyclic prefix. Using a zero-prefix has advantages in the application to multi-band OFDM in ultra wideband because it extends the coverage range by avoiding power back-off at the transmitter.

Commercialization
Multiple lawsuits were filed by the University of Minnesota against Sprint, T-Mobile, Verizon, and AT&T based on Giannakis’ patents.

Awards and Honors

 * McKnight Presidential Chair at the University of Minnesota.

Giannakis is also a co-author of numerous best paper awards including the IEEE Communications Society’s Gugliermo Marconi Prize Paper Award for work on linear precoding, the 2003 IEEE Signal Processing Society’s SP Magazine Best Paper Award for a paper on wireless multicarrier communication, an IEEE Signal Processing Society’s Best Paper Award in 2001 for work on parallel factor analysis in sensor array processing,  an IEEE Signal Processing Society’s Best Paper Award, 2000 for work on designing filterbank precoders and equalizers.
 * First recipient of the Institute for Electrical and Electronics Engineers (IEEE) Fourier Award in 2015, a Technical Field Medal given by the IEEE.
 * Technical Achievement Award from the IEEE Signal Processing Society in 2000.
 * Technical Achievement Award from the European Association of Signal Processing (EURASIP) in 2005.
 * Fellow of the Institute for Electrical and Electronics Engineers since 1997.
 * Fellow of EURASIP since 2008.

Books
G. B. Giannakis, Y. Hua, P. Stoica, L. Tong, Editors, Signal Processing Advances in Wireless and Mobile Communications, Vol. 1: Trends in Channel Est. and Equalization, Prentice Hall, 2000.

G. B. Giannakis, Y. Hua, P. Stoica, L. Tong, Editors, Signal Processing Advances in Wireless and Mobile Communications, Vol. 2: Trends in Single- and Multi-User Systems, Prentice Hall, Inc., 2000.

G. B. Giannakis, Z. Liu, X. Ma, and S. Zhou, Space-Time Coding for Broadband Wireless Communications, John Wiley & Sons, Inc., 2007.

G. B. Giannakis, G. Mateos and P. A. Forero, Robust learning via sparsity in residuals: A universal approach to coping with outliers, Foundations and Trends in Signal Processing, 2017.

K. Slavakis, S. J. Kim, G. Mateos, and G. B. Giannakis, Modeling and Optimization for Big Data Analytics, Foundations and Trends in Signal Processing, 2017.

Select Publications
* Wang, Zhendao, and Georgios B. Giannakis. "Wireless multicarrier communications." Signal Processing Magazine, IEEE 17.3 (2000): 29-48.

* Scaglione, Anna, et al. "Optimal designs for space-time linear precoders and decoders." Signal Processing, IEEE Transactions on 50.5 (2002): 1051-1064.

* Yang, Liuqing, and Georgios B. Giannakis. "Ultra-wideband communications: an idea whose time has come." Signal Processing Magazine, IEEE 21.6 (2004): 26-54.

* Liu, Qingwen, Shengli Zhou, and Georgios B. Giannakis. "Cross-layer combining of adaptive modulation and coding with truncated ARQ over wireless links." Wireless Communications, IEEE Transactions on 3.5 (2004): 1746-1755.

* Gezici, Sinan, et al. "Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks." Signal Processing Magazine, IEEE 22.4 (2005): 70-84.