Georgios Giannakis


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

Faculty Affiliations:

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


University of Minnesota McKnight Presidential Chair in ECE (2016)
IEEE Fourier Technical Field Award (2015);
EURASIP Fellow (2008)
Distinguished Lecturer of IEEE SPS (2007)
EURASIP Technical Achievement Award (2005)
G. Taylor Research Award (2004)
IEEE SPS Technical Achievement Award (2000)
Endowed Chair in Wireless Telecommunications (2001)
IEEE Fellow (1996)
Eight journal publications received Best Paper Awards from the IEEE Signal Processing and Communications Societies; and six conference publications received Best Student Paper Awards (1990-2015)
Highly cited researcher (more than 58,000 Google Scholar citations)
H-index=123; top 20 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.