Publications:

-  Book Chapters

[3] G. B. Giannakis, Q. Ling, G. Mateos, I. D. Schizas, and H. Zhu, '' Decentralized Learning for Wireless Communications and Networking,''

            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, I. D. Schizas, J.-J. Xiao, G. B. Giannakis, and Z.-Q. Luo, '' Distributed Estimation Under Bandwidth and Energy Constraints,''

            in Wireless Sensor Networks: Signal Processing and Communications Perspectives (A. Swami, Q. Zhao, Y. Hong, and L. Tong, eds.),

            Wiley, February 2007.  (pdf)

[1] I. D. Schizas, A. Ribeiro, and G. B. Giannakis, '' Dimensionality Reduction, Compressiong and Quantization for Distributed Estimation    Learwith Wireless Sensor Networks,'' in Wireless Communications (P. Agrawal, D. M. Andrews, P. J. Fleming, G. Yin, and L. Zhang, eds.),          vol. 143 of IMA Volumes in Mathematics and its Applications, pp. 259--296, Springer, New York, 2006.  (pdf)

 

 

 

-  Journal Papers

[20] S. Abhinav, I. D. Schizas, F. L. Lewis and A. Davoudi '' Distributed Noiseresilient Networked Synchrony of Active Distribution Systems,'' Systems,” IEEE PES Transactions on Smart Grid, to appear 2016. DOI: 10.1109/TSG.2016.2569602.

[19] G. Ren, V. Maroulas and I. D. Schizas, '' Exploiting Sensor Mobility and Sparse Covariances for Distributed Tracking of Multiple Targets,'' EURASIP Journal on Advances in Signal Processing, vol. 53, May 2016. DOI: 10.1186/s13634- 016-0354-y.

[18] A. Malhotra, G. Binetti, A. Davoudi and I. D. Schizas, '' Distributed Power Profile Tracking for Heterogeneous Charging of Electric Vehicles,'' IEEE PES Transactions on Smart Grid, to appear 2016. DOI: 10.1109/TSG.2016.2515616.

[17] J. Chen and I. D. Schizas, '' Distributed Information-Based Clustering of Heterogeneous Sensor Data,'' Elsevier Signal Processing, vol. 126, pp. 35--51, September 2016.

[16] G. Ren, V. Maroulas, and I. D. Schizas, '' Decentralized Sparsity-Based Multi-Source Association and State Tracking,'' Elsevier Signal Processing, vol. 120, pp. 627--643, March 2016.

[15] J. Chen and I. D. Schizas, ''Online Distributed Sparsity-Aware Canonical Correlation Analysis,'' IEEE Transactions on Signal Processing, vol. 64, no. 3, pp. 688-703, March 2016. DOI: 10.1109/TSP.2015.2481861

[14] I. D. Schizas and A. Aduroja, ''A Distributed Framework for Dimensionality Reducion and Denoising,'' IEEE Transactions on Signal Processing, vol. 63, no. 23, pp. 6379--6394, Dec. 2015.

[13] I. D. Schizas and V. Maroulas, '' Dynamic Data Driven Sensor Network Selection and Tracking,'' Elsevier Procedia Computer Science, vol. 51, pp. 2583--2592, 2015.

[12] G. Ren, V. Maroulas, and I. D. Schizas, '' Distributed Spatio-Temporal Association and Tracking of Multiple Targets Using Multiple Sensors,'' IEEE Transactions on Aerospace and Electronic Systems, vol. 51, no. 4, pp. 2570–2589, 2015. DOI: 10.1109/TAES.2015.140042. (pdf)

[11] I. D. Schizas, '' Distributed Informative Sensor  Identification Using Sparsity-Aware Matrix Factorization,'' IEEE Transactions on Signal ddddProcessing, vol. 61, no. 18, pp. 4610–4624, Sep. 2013.  (pdf)

[10] I. D. Schizas and G. B. Giannakis, '' Covarariance-Domain Sparsity for Data Compression and Denoising,'' IEEE Transactions on Signal ddddProcessing, vol. 60, no. 5, pp. 2408–2421, May 2012.  (pdf)

[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, I. D. Schizas and G. B. Giannakis, '' Performance Analysis of the Consensus-Based Distributed LMS Algorithm,'' EURASIP dddJournal on Advances in Signal Processing, October 2009. (pdf)

[7] G. Mateos, I. D. Schizas and G. B. Giannakis, '' Distributed Recursive Least-Squares for Consensus-Based In-Network Adaptive Estimation,''  dddIEEE Transactions on Signal Processing, November 2009.  (pdf)

[6] I. D. Schizas, G. Mateos and G. B. Giannakis, '' Distributed LMS for Consensus-Based In-Network 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 Channel-Aware 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, '' Distortion-Rate 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 Reduced-Dimensionality Sensor Observations,'' IEEE    dddTransactions on Signal Processing, August 2007.  (pdf)

 

 

 

 

 

-  Conference Papers

[34] A. Malhotra, N. Erdogan, I. D. Schizas , A. Davoudi and G. Binetti, ``Impact of Charging Interruptions in Coordinated Electric Vehicle Charging,'' Proc. of the IEEE Global Conference on Signal and Information Processing, Washington, DC, Dec. 2016.

[33] K. Kang, V. Maroulas, I. D. Schizas and E. Blasch, ``An Enhanced Sequential Monte Carlo Filter and its Application to Multi-Target Tracking,'' Proc. of the Intl. Conf. on Information Fusion, Heidelberg, Germany, July 5-8, 2016.

[32] G. Ren, I. D. Schizas and V. Maroulas, ``Sparsity Based Multi-Target Tracking Using Mobile Sensors,'' Proc. of IEEE Intl. Conf. on Acous., dddSpeech and Signal Processing (ICASSP), Shanghai, China, 2016.

[31] J. Chen, A. Malhotra, and I. D. Schizas, ``Information-Based Clustering and Filtering for Field Reconstruction,'' Proc. of the Asilomar Conf. on  Signals, Systems and Comp., Pacific Grove, CA, Nov. 8-11, 2015.

[30] S. Abhinav, I. D. Schizas and A. Davoudi, ``Noise-Resilient Synchrony of AC Microgrids,'' Intl. Symposium on Resilient Control Systems, ddddPhiladephia, PA, August, 2015.

[29] V. Metsis, I. D. Schizas and G. Marshall, ``Real-time Subspace Denoising of Polysomnographic Data,'' Proc. of the 8th Intl. Conf. on Pervasive Technologies Related to Assistive Environments, Corfu, Greece, July 2015.

[28] V. Maroulas, K. Kang, I. D. Schizas and M. Berry, ``A Learning Drift Homotopy Particle Filter,'' Proc. of the Intl. Conf. on Information ddddFusion, Washington, DC, July 6-9, 2015.

[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 19-25, 2015.

[26] G. Ren, I. D. Schizas and V. Maroulas, ``Distributed Spatio-Temporal Multi- Target Association and Tracking," Proc. of IEEE Intl. Conf. on ddddAcoustics, Speech and Signal Processing (ICASSP), Brisbane, AUS, April 19-25, 2015.

[25] G. Ren and I. D. Schizas, ``Joint Sensors-Sources Association and Tracking under Power Constraints," Proc. of the IEEE Global Conference ddddon Signal and Information Processing, Atlanta, GA, Dec. 3-5, 2014.

[24] J. Chen and I. D. Schizas, ``Distributed Adaptive Sparsity-Imposing Canonical Correlations,'' Proc. of the Asilomar Conf. on Signals, Systems ddddand Comp., Pacific Grove, CA, Nov. 2-5, 2014

[23] K. Kang, V. Maroulas and I. D. Schizas, ``Drift Homotopy Particle Filter for non-Gaussian Multi-target Tracking,''  Proc. of the Intl. Conf. on ddddInformation Fusion, Salamanca, Spain, July 7-10, 2014.

[22] G. Ren, I. D. Schizas and V. Maroulas, ``Joint Sensors-Sources Association and Tracking,'' Proc. of the IEEE Sensor Array and ddddMultichannel Signal Processing Workshop, A Coruna, Spain, July 7-10, 2014.

[21] G. Ren and I. D. Schizas, ``Distributed Sensor-Informative Tracking of Targets,'' Proc. of the IEEE Intl. Workshop on Computational ddddAdvances in Multi-Sensor Adaptive Processing, Saint Martin, Dec. 15-18, 2013. dd

[20] I. D. Schizas, ``Distributed Data Cleansing via a Low-Rank Decomposition,'' Proc. of the IEEE Global Conference on Signal and ddddInformation Processing, Austin, TX, Dec. 3-5, 2013.

[19] J. Chen and I. D. Schizas, ``Distributed Sparse Canonical Correlation Analysis in Clustering Sensor Data,'' Proc. of the Asilomar Conf. on ddddSignals, Systems and Comp., Pacific Grove, CA, Nov. 3-6, 2013.

[18] I. D. Schizas, ``Adaptive Distributed Sparsity-Aware Matrix Decomposition,'' Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal ddddProcessing (ICASSP), Vancouver, CAN, May 26-31, 2013.

[17] A. Aduroja, I. D. Schizas and V. Maroulas, ``Distributed Principal Component Analysis in Sensor Networks,'' Proc. on IEEE Intl. Conf. on ddddAcoustics, Speech and Signal Processing (ICASSP), Vancouver, CAN, May 26-31, 2013.

[16] I. D. Schizas, ``Distributed Informative-Sensor Determination via  Sparsity-Cognizant Matrix Decomposition,'' Proc. of IEEE Workshop    dddddddon Statistical Signal Processing, August 5-8, 2012.

[15] I. D. Schizas and G. B. Giannakis, ``Eigenspace Sparsity for Compression and Denoising,'' Proc. of Intl. Conf. on Acoustics, Speech and ddddSignal Processing, Prague, Czech Republic, May 22-27, 2011.

[14] I. D. Schizas, G. B. Giannakis and N. D. Sidiropoulos, ``Exploiting Covariance-domain Sparsity for Dimensionality Reduction,'' Proc. of dddd3rd Intl. Workshop on Comp. Advances in Multi-Sensor Adapt. Proc., Aruba Island, Dec. 13-16, 2009.

[13] G. Mateos, I. D. Schizas and G. B. Giannakis, ``Closed-form MSE perfomance of the distributed LMS algorithm,'' Proc. of 13th DSP ddddWorkshop, Marco Island, FL, January 4-7, 2009.

[12] I. D. Schizas, G. Mateos and G. B. Giannakis, ``Stability analysis of the consensus-based distributed LMS algorithm,'' Proc. of Intl.     dddConf. on Acoustics, Speech and Signal Processing, Las Vegas, NV, March 30-April 4, 2008.

[11] G. Mateos, I. D. Schizas and G. B. Giannakis, ``Distributed Least-Mean Square Algorithm Uisng Wireless Ad Hoc Networks,'' Proc. of 45th ddddAllerton Conf., Univ. of Illinois at U-C, Monticello, IL, Sept. 26-28, 2007.

[10]  I. D. Schizas, G. Mateos and G. B. Giannakis, ``Distributed Recursive Least-Squares Using Wireless Ad Hoc Sensor Networks,'' Proc.    dddof 41st Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, Nov. 4-7, 2007.

[9] H. Zhu, I. D. Schizas and G. B. Giannakis, ``Power-Efficient Dimensionality Reduction for Distributed Channel-Aware Kalman Tracking   dddUsing Wireless Sensor Networks,'' Proc. of Wrkshp. on Statistical Signal Processing, Madison, WI, August 26-29, 2007.

[8] I. D. Schizas, G. B. Giannakis, Stergios I. Roumeliotis and A. Ribeiro, ``Any-time Optimal Distributed Kalman Filtering and Smoothing,''    dddProc. of Wrkshp. on Statistical Signal Processing, Madison, WI, August 26-29, 2007.

[7] I. D. Schizas, G. B. Giannakis and A. Ribeiro, ``Distributed MAP and LMMSE Estimation of Random Signals Using Ad Hoc Wireless Sensor dddNetworks with Noisy Links,'' Proc. of SPAWC, Helsinki, Finland, June 17- 20, 2007.     ddd

[6] I. D. Schizas, A. Ribeiro and G. B. Giannakis, `` Consensus-Based 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 15-20, 2007.

[5] I. D. Schizas and G. B. Giannakis, `` Consensus-Based Distributed Estimation of Random Signals with Wireless Sensor Networks,'' Proc.    dddof 40th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, Oct. 29-Nov. 1, 2006.

[4] I. D. Schizas, A. Ribeiro and G. B. Giannakis, ``Distributed Estimation with Ad-Hoc Wireless Sensor Networks,'' Proc. of XIV European Conf. dddSignal Processing Conference, Florence, Italy, Sep. 4-8, 2006.

[3] I. D. Schizas, G. B. Giannakis and Z.-Q. Luo, ``Optimal Dimensionality Reduction for Multi-Sensor Fusion in the Presence of Fading and Noise,'' dddProc. of Intl. Conf. on Acoustics, Speech and Signal Processing, Toulouse, France, May 15-19, 2006.

[2] I. D. Schizas, G. B. Giannakis and Z.-Q. Luo, ``Distributed Estimation Using Reduced Dimensionality Sensor Observations,'' Proc. of 39th dddAsilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, Oct. 30-Nov. 2, 2005.

[1] I. D. Schizas, G. B. Giannakis and N. Jindal, ``Distortion-Rate Analysis for Distributed Estimation with Wireless Sensor Networks,'' Proc. Of   ddd43rd Allerton Conf., Univ. of Illinois at U-C, Monticello, IL, Sept. 28-30, 2005.