Georgios B Giannakis

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Name Georgios Giannakis

Ece 804 fall 2012 lecture 005 with dr georgios b giannakis

Georgios B. Giannakis (born February 27, 1958) is a Greek–American Professor, engineer, and inventor. At present he is an Endowed Chair Professor of Wireless Telecommunications with the Department of Electrical and Computer Engineering, and Director of the Digital Technology Center at the University of Minnesota.

Georgios B. Giannakis Georgios B Giannnakis Personal photos

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 and network science with applications to social, brain and power networks with renewables.

Giannakis has left a substantial academic legacy as an advisor of more than forty Ph.D. dissertations and mentor of more than a dozen postdoctoral researchers at the University of Virginia and the University of Minnesota.

Georgios B. Giannakis Georgios Giannakis One of the most influential scientists in the

Early life

Born in Piraeus and raised 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, sensor and mobile adhoc networks 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 Endowed Chair at the University of Minnesota.

ADC Endowed Chair in Wireless Telecommunications, University of Minnesota.

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.

Board of Regents, University of Patras, Greece, since 2013.

In the top fifteen of ISI’s Highly Cited Researchers in ECE and Computer Science; more than 61,000 citations; H-index=127; also included in Thomson Reuters “The World’s Most Influential Scientific Minds,” (among 300 from all fields of Engineering and Computer Science).

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.

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.

Selected Publications

S. Gezici, Z. Tian, G. B. Giannakis, H. Kobayashi, A. V. Molisch, H. V. Poor and Z. Sahinoglu, “Localization via Ultra-Wideband Radios,” IEEE Signal Processing Magazine, vol. 22, no. 4, pp. 70–84, July 2005.

L. Yang, and G. B. Giannakis, “Ultra-Wideband Communications: An Idea whose Time has Come,” IEEE Signal Processing Magazine, vol. 21, no. 6, pp. 26–54, November 2004.

Q. Liu, S. Zhou, and G. B. Giannakis, “Cross-Layer Combining of Adaptive Modulation and Coding with Truncated ARQ over Wireless Links,” IEEE Transactions on Wireless Communications, vol. 3, no. 5, pp. 1746–1755, September 2004.

Z. Wang, and G. B. Giannakis, “A Simple and General Parameterization Quantifying Performance in Fading Channels,” IEEE Transactions on Communications, vol. 51, no. 8, pp. 1389–1398, August 2003.

P. Xia, and G. B. Giannakis, “Design and Analysis of Transmit-Beamforming based on Limited-Rate Feedback,” IEEE Transactions on Signal Processing, vol. 54, no. 5, pp. 1853–1863, May 2006.

G. B. Giannakis, P. Anghel and Z. Wang, “Generalized Multi-Carrier CDMA: Unification and Equalization,” Eurasip Journal of Applied Signal Processing, pp. 743–756, February 2005.

Y. Xin, Z. Wang, and G. B. Giannakis, “Space-Time Diversity Systems based on Linear Constellation Precoding,” IEEE Transactions on Wireless Communications, vol. 2, no. 2, pp. 294–309, March 2003.

N. D. Sidiropoulos, R. Bro, and G. B. Giannakis, “Parallel Factor Analysis in Sensor Array Processing,” IEEE Transactions on Signal Processing, vol. 48, pp. 2377–2388, August 2000.

Z. Wang and G. B. Giannakis, “Wireless Multicarrier Communications: Where Fourier Meets Shannon,” IEEE Signal Processing Magazine, vol. 17, pp. 29–48, May 2000.

A. Scaglione, G. B. Giannakis, and S. Barbarossa, “Redundant Filterbank Precoders and Equalizers Part I: Unification and Optimal Designs,” IEEE Transactions on Signal Processing, vol. 47, pp. 1988– 2006, July 1999.

M. K. Tsatsanis and G. B. Giannakis, “Principal component filter banks for optimal multiresolution analysis,” IEEE Transactions on Signal Processing, vol. 43, pp. 1766–1777, August 1995.

G. B. Giannakis and J. M. Mendel, “Identification of non-minimum phase systems using higher-order statistics,” IEEE Transactions on Acoustics Speech and Signal Processing, vol. 37, pp. 360–377, March 1989.

References

Georgios B. Giannakis Wikipedia

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