Professor (Director - Digital Technology Center, ADC Endowed Chair in Wireless Telecommunications, McKnight Presidential Endowed Chair)
Research Area: Data and network sciences with applications to communications, social, brain, and power networks with renewables
|495 Walter Library|
Area of Expertise:
Machine learning, signal processing, wireless communications, and networking
Director of the Digital Technology Center
Ph.D., EE, 1986, University of Southern California, Los Angeles, CA, United States
M.S., Math, 1986, University of Southern California, Los Angeles, CA, United States
M.S., EE, 1983, University of Southern California, Los Angeles, CA, United States
B.S., EE, 1981, National Technical University of Athens, Athens, Greece
European Association for Signal Processing `Athanasios Papoulis’ Society Award, 2020
European Academy of Sciences (EurASC) Fellow, 2020
IEEE Signal Processing `Nobert Wiener’ Society Award, 2019
US National Academy of Inventors (NAI) Fellow, 2019
IEEE Communications Society Education Award, 2019
Fellow, Fudan University; Distinguished Professorship, Zejiang U., P. R. China, 2018
Honorary Doctorate, Dept. of Comp. Engr. & Informatics, and ECE, U. of Patras, 2018
Honorary Doctorate, Dept. of Informat. & Telecomm., U. of Peloponnese, Greece, 2018
University of Minnesota McKnight Presidential Chair in ECE (2016-present)
IEEE Fourier Technical Field Award (2015); Board of Regents, University of Patras, Greece, 2013-16
European Association for Signal Processing (EURASIP) Fellow, 2008
Distinguished Lecturer of IEEE Signal Processing Society, 2007
Technical Achievement Award, EURASIP, 2005
G. Taylor Research Award (2004); Endowed Chair in Wireless Telecommunications, 2001
IEEE SPS Technical Achievement Award, 2000
IEEE Fellow, 1996
Nine journal publications received Best Paper Awards from the IEEE Signal Processing and Communications Societies; and nine conference publications received Best Student Paper Awards, 1990-2020
Highly cited researcher (more than 74,000 Google Scholar citations)
H-index=144; top 17 in Engineering and Computer Science worldwide
My general interests span the areas of communications, networking and signal processing, estimation and detection theory, time-series analysis, and system identification. Areas of past research have included (poly)spectral analysis, wavelets, cyclostationary, and non-Gaussian signal processing with applications to sensor arrays and image processing. Current research focuses on complex-field and network coding, cooperative wireless communications, cognitive radios, cross-layer designs, mobile ad hoc networks, and wireless sensor networks.
D. K. Berberidis, V. Kekatos, and G. B. Giannakis, “Online Censoring for Large-Scale Regressions with Application to Streaming Big Data,” IEEE Transactions on Signal Processing, vol. 64, no. 15, pp. 3854-3867, August 2016.
H. Zhu and G. B. Giannakis, “Power System Nonlinear State Estimation using Distributed Semidefinite Programming,” IEEEJournal of Selected Topics in Signal Processing, vol. 8, no. 6, pp. 1039-1050, December 2014.
G. B. Giannakis, V. Kekatos, N. Gatsis, S.-J. Kim, H. Zhu, and B. Wollenberg, “Monitoring and Optimization for Power Grids: A Signal Processing Perspective,” IEEE Signal Processing Magazine, vol. 30, no. 5, pp. 107-128, September 2013.
M. Mardani, G. Mateos, and G. B. Giannakis, “Recovery of Low-Rank Plus Compressed Sparse Matrices with Application to Unveiling Traffic Anomalies,” IEEE Transactions on Information Theory, vol. 59, no. 8, pp. 5186-5205, August 2013.
J. A. Bazerque and G. B. Giannakis, “Nonparametric Basis Pursuit via Sparse Kernel-based Learning,” IEEE Signal Processing Magazine, vol. 30, no. 4, pp. 112-125, July 2013.
X. Cai, J. A. Bazerque, and G. B. Giannakis, “Sparse Structural Equation Modeling for Inference of Gene Regulatory Networks Exploiting Genetic Perturbations,” PLoS, Computational Biology, June 2013.
V. Kekatos and G. B. Giannakis, “Distributed Robust Power System State Estimation,” IEEE Transactions on Power Systems, vol. 28, no. 2, pp. 1617-1626, May 2013.
H. Zhu and G. B. Giannakis, “Sparse Overcomplete Representations for Efficient Identification of Power Line Outages,” IEEE Transactions on Power Systems, vol. 27, no. 4, pp. 2215-2224, November 2012.