Publications:
 Book Chapters：
[3]
G. B. Giannakis, Q. Ling, G. Mateos, in Splitting Methods in Communication and Imaging, Science and Engineering, R. Glowinski, S. Osher, and W. Yin, Editors, New York, Springer, 2015 
[2] A. Ribeiro, in Wireless Sensor Networks: Signal Processing
and Communications Perspectives (A. Swami, Q. Zhao, Y. Hong, and L. Tong, eds.),
Wiley, February 2007. (pdf) 
[1] 
 Journal Papers：
[20]
S. Abhinav, I. 
[19]
G. Ren, V. Maroulas and I. 
[18]
A. Malhotra, G. Binetti, A. Davoudi and I. 
[17]
J. Chen and I. 
[16]
G. Ren, V. Maroulas, 
[15]
J. Chen 
[14]

[13]

[12]
G. Ren, V. Maroulas, 
[11] 
[10] 
[9] A. Ribeiro, I. D. Schizas, S. I. Roumeliotis and G. B. Giannakis, '' Kalman Filtering in Wireless Sensor Networks: Incorporating Communication dddCost in State Estimation Problems,'' IEEE Control Systems Magazine, April 2010. (pdf) 
[8] G. Mateos, 
[7] G. Mateos, I. D. Schizas and G. B. Giannakis, '' Distributed Recursive LeastSquares for ConsensusBased InNetwork Adaptive Estimation,'' dddIEEE Transactions on Signal Processing, November 2009. (pdf) 
[6] I. D. Schizas, G. Mateos and G. B. Giannakis, '' Distributed LMS for ConsensusBased InNetwork Adaptive Processing,'' IEEE Transactions dddon Signal Processing, June 2009. (pdf) 
[5] H. Zhu, I. D. Schizas and G. B. Giannakis, '' Power Efficient Dimensionality Reduction for Distributed ChannelAware Kalman Tracking Using dddWireless Sensor Networks,'' IEEE Transactions on Signal Processing, August 2009. (pdf) 
[4] I. D. Schizas, G. B. Giannakis, S. I. Roumeliotis and A. Ribeiro, '' Consensus in Ad Hoc WSNs with Noisy Links  Part II: Distributed Estimation dddand Smoothing of Random Signals,'' IEEE Transactions on Signal Processing, April 2008. (pdf) 
[3] I. D. Schizas, A. Ribeiro and G. B. Giannakis, '' Consensus in Ad Hoc WSNs with Noisy Links  Part I: Distributed Estimation of Deterministic dddSignals,'' IEEE Transactions on Signal Processing, January 2008. (pdf) 
[2] I. D. Schizas, G. B. Giannakis and N. Jindal, '' DistortionRate Bounds for Distributed Estimation with Wireless Sensor Networks,'' EURASIP dddJournal on Advances in Signal Processing, 2008. (pdf) 
[1] I. D. Schizas, G. B. Giannakis and Z.Q. Luo, '' Distributed Estimation Using ReducedDimensionality Sensor Observations,'' IEEE dddTransactions on Signal Processing, August 2007. (pdf) 
 Conference Papers：
[34] 
[33] 
[32] 
[31] 
[30] 
[29] 
[28] 
[27] J. Chen and I. D. Schizas, ``Regularized Canonical Correlations for Sensor Data Information Clustering," Proc. of IEEE Intl. Conf. on Acous., dddSpeech and Signal Processing (ICASSP), Brisbane, AUS, April 1925, 2015. 
[26] G. Ren, I. D. Schizas and V. Maroulas, ``Distributed SpatioTemporal Multi Target Association and Tracking," Proc. of IEEE Intl. Conf. on ddddAcoustics, Speech and Signal Processing (ICASSP), Brisbane, AUS, April 1925, 2015. 
[25] G. Ren and I. D. Schizas, ``Joint SensorsSources Association and Tracking under Power Constraints," Proc. of the IEEE Global Conference ddddon Signal and Information Processing, Atlanta, GA, Dec. 35, 2014. 
[24] J. Chen and I. D. Schizas, ``Distributed Adaptive SparsityImposing Canonical Correlations,'' Proc. of the Asilomar Conf. on Signals, Systems ddddand Comp., Pacific Grove, CA, Nov. 25, 2014 
[23] K. Kang, V. Maroulas and I. D. Schizas, ``Drift Homotopy Particle Filter for nonGaussian Multitarget Tracking,'' Proc. of the Intl. Conf. on ddddInformation Fusion, Salamanca, Spain, July 710, 2014. 
[22] G. Ren, I. D. Schizas and V. Maroulas, ``Joint SensorsSources Association and Tracking,'' Proc. of the IEEE Sensor Array and ddddMultichannel Signal Processing Workshop, A Coruna, Spain, July 710, 2014. 
[21]
G. Ren and 
[20] 
[19]
J. Chen and 
[18] 
[17]

[16] 
[15] 
[14] 
[13] G. Mateos, I. D. Schizas and G. B. Giannakis, ``Closedform MSE perfomance of the distributed LMS algorithm,'' Proc. of 13^{th} DSP ddddWorkshop, Marco Island, FL, January 47, 2009. 
[12] I. D. Schizas,
G. Mateos and G. B. Giannakis,
``Stability analysis of the
consensusbased distributed LMS
algorithm,'' Proc. of Intl. 
[11] G. Mateos, I. D.
Schizas and G. B. Giannakis,
``Distributed LeastMean Square
Algorithm
Uisng
Wireless Ad Hoc Networks,''
Proc. 
[10] I. D. Schizas, G. Mateos and G. B. Giannakis, ``Distributed Recursive LeastSquares Using Wireless Ad Hoc Sensor Networks,'' Proc. dddof 41st Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, Nov. 47, 2007. 
[9] H. Zhu, I. D. Schizas
and G. B.
Giannakis, ``PowerEfficient Dimensionality Reduction for
Distributed ChannelAware
Kalman Tracking 
[8] I. D. Schizas, G. B. Giannakis, Stergios I. Roumeliotis and A. Ribeiro, ``Anytime Optimal Distributed Kalman Filtering and Smoothing,'' dddProc. of Wrkshp. on Statistical Signal Processing, Madison, WI, August 2629, 2007. 
[7] I. D. Schizas,
G. B. Giannakis and A. Ribeiro,
``Distributed MAP and 
[6] I. D. Schizas, A. Ribeiro and G. B. Giannakis, `` ConsensusBased Distributed Parameter Estimation in Ad Hoc Wireless Sensor Networks with dddNoisy Links,'' Proc. of Intl. Conf. on Acoustics, Speech and Signal Processing, Honolulu, HI, April 1520, 2007. 
[5] I. D. Schizas
and G. B. Giannakis, ``
ConsensusBased Distributed
Estimation of Random Signals
with Wireless Sensor Networks,'' Proc. 
[4] I. D. Schizas, A. Ribeiro and G. B. Giannakis, ``Distributed Estimation with AdHoc Wireless Sensor Networks,'' Proc. of XIV European Conf. dddSignal Processing Conference, Florence, Italy, Sep. 48, 2006. 
[3] I. D. Schizas,
G. B. Giannakis and Z.Q. Luo,
``Optimal Dimensionality
Reduction for MultiSensor
Fusion in the Presence of
Fading and
Noise,'' 
[2]
I. D. Schizas, G. B.
Giannakis and Z.Q. Luo,
``Distributed Estimation Using
Reduced Dimensionality Sensor
Observations,'' Proc. of 39th
dddAsilomar 
[1] 