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
Machine learning, signal processing, wireless communications, and networking
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.
2020 European Association for Signal Processing `Athanasios Papoulis’ Society Award
2020 European Academy of Sciences (EurASC) Fellow
2019 IEEE Signal Processing `Nobert Wiener’ Society Award
2019 Fellow, National Academy of Inventors (NAI)
2019 IEEE Communications Society Education Award
2018 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
2016-present University of Minnesota McKnight Presidential Chair in ECE
2015 IEEE Fourier Technical Field Award
2013-2016 Board of Regents, University of Patras, Greece
2008 European Association for Signal Processing (EURASIP) Fellow
2007 Distinguished Lecturer of IEEE Signal Processing Society
2005 Technical Achievement Award, EURASIP
2001 G. Taylor Research Award (2004); Endowed Chair in Wireless Telecommunications
2000 IEEE SPS Technical Achievement Award
1996 IEEE Fellow
1990-2020 Nine journal publications received Best Paper Awards from the IEEE Signal Processing and Communications Societies; and nine conference publications received Best Student Paper Awards
Highly cited researcher (more than 74,000 Google Scholar citations)
H-index=144; top 17 in Engineering and Computer Science worldwide
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.