Georgios B. Giannakis | |
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Born | Piraeus, Greece | 27 February 1958
Nationality | Greek, American |
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Scientific career | |
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Website | spincom |
Georgios B. Giannakis (born 27 February 1958) is a Greek-American Computer Scientist, engineer and inventor. He has been an Endowed Chair Professor of Wireless Telecommunications, he was Director of the Digital Technology Center, and at present he is a McKnight Presidential Chair with the Department of Electrical and Computer Engineering at the University of Minnesota.
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, [1] [2] principal component filter banks, [3] linear precoding, [4] multicarrier modulation, [5] ultra-wideband communications, [6] cognitive radios, and smart grids. Seminal work includes the development of linear precoding wireless communication systems, [4] 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, [7] which had impact in the multi-band ultra wide band standard. [6] Current research focuses on big data, graph learning, 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 59 Ph.D. dissertations and mentor of more than 27 postdoctoral researchers at the University of Virginia and the University of Minnesota.
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. [8] 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 data analytics.
In 2023, Giannakis became an International Fellow of UK's Royal Academy of Engineering. [9] In 2022, he received the Distinguished Alumni Award from the Signal and Image Processing Institute at the University of Southern California; [10] and the Faculty Award for Excellence in Postdoctoral Advising at the University of Minnesota. [11] In 2021, Giannakis became a corresponding member of the Academy of Athens, Greece. [12] In 2020, he was inducted as International Member of Academia Europaea. [13] In the same year, he won the European Association for Signal Processing (EURASIP) "Athanasios Papoulis," Society Award, [14] and was elected Fellow of the European Academy of Sciences. [15] In 2019, he was the winner of the Institute for Electrical and Electronics Engineers (IEEE) Signal Processing "Norbert Wiener" Society Award; [16] he was also named Fellow of the US National Academy of Inventors (NAI); [17] and won the IEEE Communications Society Education Award. [18] In 2018, he received honorary doctorate degrees from the University of Patras, and the University of Peloponnese, Greece. In 2016, Giannakis was appointed to the prestigious McKnight Presidential Endowed Chair at the University of Minnesota.; [19] and from 2001 to 2008 he held the Endowed Chair in Wireless Telecommunications at the U. of Minnesota. [20] In 2015, Giannakis became the inaugural recipient of the IEEE Technical Field Fourier Award for Signal Processing. [21] From 2012 to 2017, he served as member of the Board of Regents, University of Patras, Greece. [22] In 2008, Giannakis became Fellow of EURASIP, [23] and in 2005 he received EURASIP's Technical Achievement Award. [24] Earlier in 1997, he became Fellow of the IEEE, [25] and in 2000 he received the Technical Achievement Award from the IEEE Signal Processing Society. [26]
Giannakis is listed in the top 20 of ISI’s Highly Cited Researchers in ECE and Computer Science. [27] His publications have received more than 94,000 citations with h-index=162. [28] In Thomson Reuters "World’s Most Influential Scientific Minds" he ranks at the top 300 from all fields of Engineering, Informatics, and Computer Science. [29]
Giannakis is also a co-author of ten best journal paper awards including the IEEE Communications Society's Gugliermo Marconi Prize Paper Award for work on linear precoding, [30] the 2003 IEEE Signal Processing Society's SP Magazine Best Paper Award for a paper on wireless multicarrier communication, [31] [32] an IEEE Signal Processing Society's Best Paper Award in 2001 for work on parallel factor analysis in sensor array processing, [33] an IEEE Signal Processing Society's Best Paper Award, 2000 for work on designing filterbank precoders and equalizers. [3]
Giannakis has 36 US and foreign patents issued in the fields of wireless communications (several related to the 4G LTE standard), cognitive radio sensing, signal processing, power system monitoring, and photovoltaic inverters in residential power distribution. Through those he became a fellow of the US National Academy of Inventors, `…the highest professional distinction accorded to academic inventors who have demonstrated a prolific spirit of innovation…’ Multiple lawsuits were filed by the University of Minnesota against Sprint, T-Mobile, Verizon, and AT&T [34] based on Giannakis’ patents. [35] [36] [37] [38]
In telecommunications, orthogonal frequency-division multiplexing (OFDM) is a type of digital transmission used in digital modulation for encoding digital (binary) data on multiple carrier frequencies. OFDM has developed into a popular scheme for wideband digital communication, used in applications such as digital television and audio broadcasting, DSL internet access, wireless networks, power line networks, and 4G/5G mobile communications.
Single-carrier FDMA (SC-FDMA) is a frequency-division multiple access scheme. Originally known as Carrier Interferometry, it is also called linearly precoded OFDMA (LP-OFDMA). Like other multiple access schemes, it deals with the assignment of multiple users to a shared communication resource. SC-FDMA can be interpreted as a linearly precoded OFDMA scheme, in the sense that it has an additional DFT processing step preceding the conventional OFDMA processing.
Multi-user MIMO (MU-MIMO) is a set of multiple-input and multiple-output (MIMO) technologies for multipath wireless communication, in which multiple users or terminals, each radioing over one or more antennas, communicate with one another. In contrast, single-user MIMO (SU-MIMO) involves a single multi-antenna-equipped user or terminal communicating with precisely one other similarly equipped node. Analogous to how OFDMA adds multiple-access capability to OFDM in the cellular-communications realm, MU-MIMO adds multiple-user capability to MIMO in the wireless realm.
Carrier Interferometry(CI) is a spread spectrum scheme designed to be used in an Orthogonal Frequency-Division Multiplexing (OFDM) communication system for multiplexing and multiple access, enabling the system to support multiple users at the same time over the same frequency band.
In radio, cooperative multiple-input multiple-output is a technology that can effectively exploit the spatial domain of mobile fading channels to bring significant performance improvements to wireless communication systems. It is also called network MIMO, distributed MIMO, virtual MIMO, and virtual antenna arrays.
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Zero-forcing precoding is a method of spatial signal processing by which a multiple antenna transmitter can null the multiuser interference in a multi-user MIMO wireless communication system. When the channel state information is perfectly known at the transmitter, the zero-forcing precoder is given by the pseudo-inverse of the channel matrix. Zero-forcing has been used in LTE mobile networks.
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