Sidiropoulos Web 2011Nikos D. Sidiropoulos

 

Louis T. Rader Professor and Chair

Dept. of Electrical & Computer Engineering

University of Virginia

 

 

C-219 Thornton Hall

351 McCormick Road (USPS: PO Box 400743)      

Charlottesville, Virginia 22904

phone: 434-924-3977

e-mail: nikos@virginia.edu

web: http://www.ece.virginia.edu/~nds5j/

 

 

Regularly updated full CV

Google Scholar page

UVA Engineering faculty page

Scopus page

Signal and Tensor Analytics Research (STAR) group page

 

News!

·         Prof. Sidiropoulos was appointed Louis T. Rader Professor, effective 8/25/2018. Lou Rader had a trailblazing career in industry and academia, including as VP and General Manager of the Communications and Controls Division at GE, President of the Univac Division at Sperry Rand, and Chair of the ECE Department at UVA (1969-1974). He was a Fellow of IEEE and a member of NAE. 

·         Mohamed Salah Ibrahim’s paper Mirror-Prox SCA Algorithm for Multicast Beamforming and Antenna Selection was chosen as one of six best student paper finalists at IEEE SPAWC 2018. The paper was co-authored with Dr. Aritra Konar, a graduate of (and now postdoctoral researcher in) our group. 

·         Video presentation for ICML 2018 paper Learning Hidden Markov Models from Pair-wise Co-occurrences https://youtu.be/a_YsNDBeiFc

·         Group alumnus Kejun Huang joined the Computer and Information Science and Engineering Department at the University of Florida, Gainesville.  Congratulations Kejun! – well-deserved!

·         Ahmed S. Zamzam has been awarded the UMN Doctoral Dissertation Fellowship (DDF) for 2018/2019. The DDF program gives the University's most accomplished Ph.D. candidates an opportunity to devote full-time effort to dissertation research and writing during the fellowship year. Congratulations Ahmed!

·         Aritra Konar defended his Ph.D. in Sept. 2017, and moved to the University of Virginia as a postdoctoral research associate. Congratulations Aritra!

·         Group alumnus Xiao Fu joined Oregon State University as Assistant Professor in the Electrical Engineering and Computer Science Department, in Aug. 2017. Xiao recently won his first NSF grant as PI – well-deserved congratulations!

·         In 2017, Google Scholar released its Classic Papers: Articles That Have Stood the Test of Time. Our paper Transmit Beamforming for Physical Layer Multicasting published in 2006 is one of those classic papers, in the top-10 in the Signal Processing category.

·         Our paper Tensor Decomposition for Signal Processing and Machine Learning has been in the top-100 IEEE-wide downloads every month since July 2017, with over 13,000 downloads as of October 2018. IEEE is the largest professional organization in the world, with 400,000 members. As of early 2018, IEEExplore holds over 4 million published articles.

·         Tensor decomposition for signal processing and machine learning: IEEE TSP overview paper, ICASSP tutorial slides, and supplementary material (programs, data, demos)

·         Nikos Sidiropoulos has been appointed Vice President of the IEEE Signal Processing Society (2017-2019). He is responsible for membership services, development, and the overall member experience.

·         Nov. 2016: Check out this three-minute video trailer of our NIPS paper ‘‘Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm’’. You can also try our Matlab demo.

·         Oct. 2016: Xiao Fu was recognized as the ‘‘Outstanding Postdoctoral Scholar’’ by the Postdoctoral Association and faculty judges of the University of Minnesota. Congratulations Xiao!

·         Kejun Huang defended his Ph.D. in May 2016, and continues as a postdoctoral researcher in our group. Congratulations Kejun! 

·         Aritra Konar has been awarded the UMN Doctoral Dissertation Fellowship (DDF) for 2016/2017. The DDF program gives the University's most accomplished Ph.D. candidates an opportunity to devote full-time effort to dissertation research and writing during the fellowship year. Congratulations Aritra!

·         Bo Yang won a Best Student Paper Award (second prize) at the  6th IEEE Workshop on Computational Advances in Sensor Array Processing (CAMSAP 2015) http://inspire.rutgers.edu/camsap2015/ for the paper "Joint Factor Analysis and Latent Clustering", co-authored with Xiao Fu and N.D. Sidiropoulos. The 3 awards were selected from 12 finalists, which were picked from 134 accepted papers based on highest review scores and eligibility (first author is a student). The final selection process included student presentations in a special poster session before the conference and judging by a panel of senior experts. 

·         Balasubramanian Gopalakrishnan defended his Ph.D. in May 2015, and joined Qualcomm San Jose, as member of technical staff. Congratulations Bala!

·         Prof. Sidiropoulos appointed ADC Chair in Digital Technology (Jan. 1, 2015)

ADC Telecommunications Logo.svg (now part of TE Connectivity; see https://en.wikipedia.org/wiki/ADC_Telecommunications)

·         Omar Mehanna has been awarded the UMN Doctoral Dissertation Fellowship (DDF) for 2013/2014. The DDF program gives the University's most accomplished Ph.D. candidates an opportunity to devote full-time effort to dissertation research and writing during the fellowship year.

·         The 2013 Distinguished Alumni Award, Dept. ECE, University of Maryland, College Park.

·         The paper by N.D. Sidiropoulos, T.N. Davidson, and Z.-Q. Luo, “Transmit Beamforming for Physical Layer Multicasting”, IEEE Trans. on Signal Processing, 54(6), Part 1, pp. 2239-2251, June 2006 received the IEEE Signal Processing Society 2011 best paper award.  PDF

·         The paper by O. Mehanna, N.D. Sidiropoulos, and G. Giannakis, “Multicast beamforming with antenna selection”, received the best student paper award at IEEE SPAWC 2012, June 17-20, 2012, Cesme, Turkey. PDF

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·         New and recent grants:

o   Collaborative Research: Multimodal Sensing and Analytics at Scale: Algorithms and Applications, NSF ECCS-1807660, N.D. Sidiropoulos (collaborative project with X. Fu, Oregon State University).

o   Identifying Potential Investors using Joint Factorization and Latent Clustering, Corning, PI: N.D. Sidiropoulos; Co-PI: K. Huang.

o   III: Medium: High-Performance Factorization Tools for Constrained and Hidden Tensor Models, NSF IIS-1704074, PI: G. Karypis, co-PI: N.D. Sidiropoulos.

o   Oct. 2016: Received gift funding from Huawei Inc. to support our group’s 5G wireless research.

o   Robust and Scalable Volume Minimization-based Matrix Factorization for Sensing and Clustering, NSF ECCS-1608961, PI: N.D. Sidiropoulos; Co-PI: X. Fu.

o   CIF: Small: Feasible Point Pursuit for Non-convex QCQPs: Algorithms and Signal Processing Applications, NSF CIF-1525194, PI: N.D. Sidiropoulos. This is a collaborative project with SUNY-Buffalo (K. Slavakis).

o   BIGDATA: IA: DKA: Collaborative Research: Learning Data Analytics: Providing Actionable Insights to Increase College Student Success, NSF IIS-1447788, PI: G. Karypis, co-PI: N.D. Sidiropoulos. This is a collaborative project with GMU.

o   Wideband cognitive sensing from a few bits, NSF ECCS-1231504, PI: N.D. Sidiropoulos.

o   EARS: Spectral Tweets: A Community Paradigm for Spatio-temporal Cognitive Sensing and Access, NSF AST-1247885, PI: N.D. Sidiropoulos, co-PIs: G.B. Giannakis, and J.D. Haupt.

o   BIGDATA: Mid-Scale: DA: Collaborative Research: Big Tensor Mining: Theory, Scalable Algorithms and Applications, NSF IIS-1247632, PI: N.D. Sidiropoulos, co-PI: G. Karypis. This is a collaborative project with CMU (PI: C. Faloutsos, co-PI: T. Mitchell, NSF IIS-1247489).

 

 

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STATOS Thematic workshop 2016: Machine Learning from Big Data

 

N.D. Sidiropoulos and E. Tsakonas, “Signal Processing and Optimization Tools for Conference Review and Session Assignment”, IEEE Signal Processing Magazine, 32(3):141–155, May 2015. PDF

Interested in trying out our tools? – write to nikos@virginia.edu 

 

         

Link to workshop webpage                           

 

Academic Press Library in Signal Processing, 1st Edition,Sergios Theodoridis,Rama Chellappa,ISBN9780123965004

N.D. Sidiropoulos and F. Gini (Section Eds.), S. Theodoridis, R. Chellapa (Series Eds.), Academic Press Library in Signal Processing: Volume 2, Communications and Radar Signal Processing, Academic Press, 2013.

 

EURASIP-IEEE/SPS Greek Signal Processing Jam! Oct. 17, 2009, Athens-Greece: Full announcement  

 

http://www.telecom.tuc.gr/~nikos/TRICAP2006main/TRICAP2006main_files/image003.jpg

TRICAP2006 Workshop

TRICAP2015 Workshop

Very first TRICAP/TRIC1993 Workshop (courtesy: P.M. Kroonenberg)    

    

http://ecx.images-amazon.com/images/I/51Y%2BphGqcpL._SX333_BO1,204,203,200_.jpg

A.B. Gershman and N.D. Sidiropoulos, Space-Time Processing for MIMO Communications

 

 

http://ars.els-cdn.com/content/image/1-s2.0-S0165168413X00088-cov150h.gif

Marius Pesavento, Yuri I. Abramovich, Fulvio Gini, Nicholas Sidiropoulos and Abdelhak M. Zoubir, Signal Processing, Volume 93, Issue 12, Pages 3261-3588 (December 2013): Special Issue on Advances in Sensor Array Processing in Memory of Alex B. Gershman

 

In memory of my good friend Alex B. Gershman (1962-2011) see also here.

 

 

Research:

 

Dr. Sidiropoulos’ research interests are in signal processing for communications, convex optimization, cross-layer resource allocation for wireless networks, and multiway analysis - i.e., linear algebra for data arrays indexed by three or more variables. His current research focuses primarily on signal and tensor analytics, with applications in cognitive radio, big data, and preference measurement. As a sidekick, he is developing optimization algorithms for conference review and session assignment.

 

Journal paper re/pre-prints:

 

© Copyright as noted on each article. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the copyright owner. By choosing to view one of these articles, you agree to all provisions of the copyright laws protecting it. Preprints available upon e-mail request to nikos[at]umn.edu

 

(135) B. Yang, A.S. Zamzam, and N.D. Sidiropoulos, ``Large Scale Tensor Factorization via Parallel Sketches," IEEE Trans. on Signal Processing, submitted Oct. 17, 2018.

(134) A.S. Zamzam, X. Fu, and N.D. Sidiropoulos, ``Data-Driven Learning-Based Optimization for Distribution System State Estimation," IEEE Trans. on Power Systems, submitted Sept. 24, 2018.

(133) V. Ioannidis, A.S. Zamzam, G.B. Giannakis, and N.D. Sidiropoulos, ``Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection," IEEE Trans. on Knowledge and Data Engineering, submitted Sept. 21, 2018.

(132) C. Qian, X. Fu, N.D. Sidiropoulos, and Y. Yang, ``Tensor-Based Channel Estimation for Dual-Polarized Massive MIMO Systems," IEEE Trans. on Signal Processing, to appear, 2018.

(131) C. Kanatsoulis, X. Fu, N.D. Sidiropoulos, and W.-K. Ma, ``Hyperspectral Super-resolution: A Coupled Tensor Factorization Approach," IEEE Trans. on Signal Processing, to appear, 2018.

(130) X. Fu, K. Huang, N.D. Sidiropoulos, and W.-K. Ma, ``Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications," IEEE Signal Processing Magazine, to appear, 2018.

(129) C. Kanatsoulis, X. Fu, N.D. Sidiropoulos, and M. Hong, ``Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data," IEEE Trans. on Signal Processing, to appear.

(128) H. Sun, X. Chen, Q. Shi, M. Hong, X. Fu, N.D. Sidiropoulos, ``Learning to Optimize: Training Deep Neural Networks for Interference Management," IEEE Trans. on Signal Processing, vol. 66, no. 20, pp. 5438-5453, 2018. DOI: 10.1109/TSP.2018.2866382

(127) N. Kargas, N.D. Sidiropoulos, and X. Fu, ``Tensors, Learning, and `Kolmogorov Extension' for Finite-alphabet Random Vectors," IEEE Trans. on Signal Processing, vol. 66, no. 18, pp. 4854-4868, 2018. DOI: 10.1109/TSP.2018.2862383

(126) A. Konar, and N.D. Sidiropoulos, ``A Simple and Effective Approach for Transmit Antenna Selection in Multi-user Massive MIMO Leveraging Submodularity," IEEE Trans. on Signal Processing, vol. 66, no. 18, pp. 4869-4883, 2018.

(125) X. Fu, K. Huang, and N.D. Sidiropoulos, ``On identifiability of nonnegative matrix Factorization," IEEE Signal Processing Letters, vol. 25, no. 3, pp. 328--332, March 2018.

(124) A.S. Zamzam, E. Dall'Anese, C. Zhao, J.A. Taylor, and N.D. Sidiropoulos, ``Optimal Water-Power Flow Problem: Formulation and Distributed Optimal Solution," IEEE Trans. on Control of Network Systems, to appear. DOI: 10.1109/TCNS.2018.2792699

(123) T. Qiu, X. Fu, N.D. Sidiropoulos, and D. Palomar, ``MISO Channel Estimation and Tracking from Received Signal Strength Feedback," IEEE Trans. on Signal Processing, vol. 66, no. 7, pp. 1691--1704, April 1, 2018.

(122) Y. Shi, A. Konar, N.D. Sidiropoulos, X.-P. Mao, and Y.-T. Liu, ``Learning to Beamform for Minimum Outage," IEEE Trans. on Signal Processing, vol. 66, no. 19, pp. 5180-5193, 2018. DOI: 10.1109/TSP.2018.2865408

(121) X. Fu, K. Huang, E.E. Papalexakis, H.-A. Song, P. Talukdar, N.D. Sidiropoulos, Christos Faloutsos, and Tom Mitchell, ``Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data," IEEE Trans. on Knowledge and Data Engineering, to appear, 2018.

(120) G. Wang, A.S. Zamzam, G.B. Giannakis, and N.D. Sidiropoulos, ``Power System State Estimation via Feasible Point Pursuit: Algorithms and Cramer-Rao Bound," IEEE Trans. on Signal Processing, vol. 66, no. 6, pp. 1649-1658, Mar. 2018.

(119) P. Alevizos, X. Fu, N.D. Sidiropoulos, Y. Yang, and A. Bletsas, ``Limited Feedback Channel Estimation in Massive MIMO with Non-uniform Directional Dictionaries," IEEE Trans. on Signal Processing, vol. 66, no. 19, pp. 5127-5141, 2018. DOI: 10.1109/TSP.2018.2865412

(118) A. Konar and N.D. Sidiropoulos, ``First-Order Methods for Fast Feasibility Pursuit of Non-convex QCQPs," IEEE Trans. on Signal Processing, vol. 65, no. 22, pp. 5927--5941, Nov.15, 15 2017.

(117) X. Fu, K. Huang, N.D. Sidiropoulos, Q. Shi, and M. Hong, “Anchor-Free Correlated Topic Modeling,” IEEE Trans. on Pattern Analysis and Machine Intelligence, DOI: 10.1109/TPAMI.2018.2827377

(116) X. Fu, K. Huang, M. Hong, N.D. Sidiropoulos, and A.M.-C. So, “Scalable and Flexible Multiview MAX-VAR Canonical Correlation Analysis,” IEEE Trans. on Signal Processing, vol. 65, no. 16, pp. 4150-4165, Aug. 15, 2017.

(115) F. Almutairi, N.D. Sidiropoulos, and G. Karypis, “Context-Aware Recommendation Based Learning Analytics Using Tensor and Coupled Matrix Factorization,” IEEE Journal on Selected Topics in Signal Processing, special issue on Signal Processing and Machine Learning for Education and Human Learning at Scale, vol. 11, no. 5, pp. 729--741, Aug. 2017. DOI: 10.1109/JSTSP.2017.2705581

(114) A.S. Zamzam, N.D. Sidiropoulos, and E. Dall’Anese, “Beyond Relaxation and Newton-Raphson: Solving AC OPF for Multi-phase Systems with Renewables,” IEEE Trans. on Smart Grid, vol. 9, no. 5, pp. 3966-3975, 2018.

(113) A. Liavas, G. Kostoulas, G. Lourakis, K. Huang, and N.D. Sidiropoulos, “Nesterov-based Alternating Optimization for Nonnegative Tensor Factorization: Algorithm and Parallel Implementations,” IEEE Trans. on Signal Processing, vol. 66, no. 4, pp. 944-953, 2018.

(112) N.D. Sidiropoulos, L. De Lathauwer, X. Fu, K. Huang, E.E. Papalexakis, and C. Faloutsos, “Tensor Decomposition for Signal Processing and Machine Learning,” IEEE Trans. on Signal Processing, (overview paper), vol. 65, no. 13, pp. 3551-3582, July 1,

2017. DOI: 10.1109/TSP.2017.2690524

(111) B. Yang, X. Fu, and N.D. Sidiropoulos, “Learning From Hidden Traits: Joint Factor Analysis and Latent Clustering,” IEEE Trans. on Signal Processing, vol. 65, no. 1, pp. 256–269, Jan. 2017.

(110) C. Qian, X. Fu, N.D. Sidiropoulos, L. Huang, and J. Xie, “Inexact Alternating Optimization for Phase Retrieval In the Presence of Outliers,” IEEE Trans. on Signal Processing, vol. 65, no. 22, pp. 6069--6082, Nov.15, 15 2017. DOI: 10.1109/TSP.2017.2740166

(109) K. Huang, Y. Eldar, and N.D. Sidiropoulos, “Phase Retrieval from 1D Fourier Measurements: Convexity, Uniqueness, and Algorithms,” IEEE Trans. on Signal Processing, vol. 64, no. 23, pp. 6105–6117, Dec. 2016.

(108) A. Konar, and N.D. Sidiropoulos, “Fast Approximation Algorithms for a class of Nonconvex QCQP problems Using First-Order Methods,” IEEE Trans. on Signal Processing, vol. 65, no. 13, pp. 3494-3509, July 1, 2017. DOI: 10.1109/TSP.2017.2690386

(107) X. Fu, K. Huang, B. Yang, W.-K. Ma, and N.D. Sidiropoulos, “Robust Volume Minimization-Based Matrix Factorization for Remote Sensing and Document Clustering,” IEEE Trans. on Signal Processing, vol. 64, no. 23, pp. 6254–6268, Dec. 2016.

(106) E.E. Papalexakis, C. Faloutsos, and N.D. Sidiropoulos, “Tensors for Data Mining and Data Fusion: Models, Applications, and Scalable Algorithms,” ACM Trans. On Intelligent Systems and Technology, vol. 8, no. 2, article 16, pp. 16:1–16:44, Oct. 2016. PDF

(105) J. Tranter, N.D. Sidiropoulos, X. Fu, and A. Swami, ``Fast Unit-modulus Least Squares with Applications in Beamforming and Phase Retrieval,’’ IEEE Trans. on Signal Processing, vol. 65, no. 11, pp. 2875{2887, June 1, 2017. DOI: 10.1109/TSP.2017.2666774

(104) K. Huang, and N.D. Sidiropoulos, “Consensus-ADMM for General Quadratically Constrained Quadratic Programming,” IEEE Trans. on Signal Processing, vol. 64, no. 20, pp. 5297–5310, Oct. 2016. PDF

(103) X. Fu, N.D. Sidiropoulos, and W.-K. Ma, “Power Spectra Separation via Structured Matrix Factorization,” IEEE Trans. on Signal Processing, vol. 64, no. 17, pp. 4592–4605, Sep. 2016. PDF

(102) A. Konar, and N.D. Sidiropoulos, “Parametric Frugal Sensing for Autoregressive and Autoregressive Moving Average Power Spectra,” IEEE Trans. on Signal Processing, vol. 64, no. 20, pp. 5353–5366, Sep. 2016. PDF

(101) K. Huang, N.D. Sidiropoulos, and A.P. Liavas, “A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor Factorization,” IEEE Trans. on Signal Processing, vol. 64, no. 19, pp. 5052–5065, Oct. 2016. PDF

(100) C. Qian, N.D. Sidiropoulos, K. Huang, L. Huang, and H.C. So, “Phase Retrieval Using Feasible Point Pursuit: Algorithms and Cramer-Rao Bound,” IEEE Trans. on Signal Processing, vol. 64, no. 20, pp. 5282–5296, Oct. 2016. PDF

(99) C. Qian, L. Huang, N.D. Sidiropoulos, and H.C. So, “Enhanced PUMA for Direction-of-arrival Estimation and its Performance Analysis,” IEEE Trans. on Signal Processing, vol. 64, no. 16, pp. 4127-4137, Aug. 15, 2016. PDF

(98) X. Fu, K. Huang, W.-K. Ma, N.D. Sidiropoulos, and R. Bro, “Joint Tensor Factorization and Outlying Slab Suppression with Applications”, IEEE Trans. on Signal Processing, 63(23): 6315–6328, Dec. 1, 2015. PDF

(97) C. Qian, H.C. So, L. Huang, N.D. Sidiropoulos, and J. Xie, “Unitary PUMA Algorithm for Estimating the Frequency of a Complex Sinusoid in Noise”, IEEE Trans. on Signal Processing, 63(20):5358–5368, Oct. 15, 2015. PDF

(96) A. Konar, and N.D. Sidiropoulos, “Hidden Convexity in QCQP with Toeplitz-Hermitian Quadratics”, IEEE Signal Processing Letters, 22(10):1623–1627, Oct. 2015. PDF

(95) X. Fu, N.D. Sidiropoulos, J. Tranter, and W.-K. Ma, “A Factor Analysis Framework for Power Spectra Separation and Multiple Emitter Localization”, IEEE Trans. on Signal Processing, 63(24): 6581–6594, Dec. 15, 2015. PDF

(94) B. Gopalakrishnan, and N.D. Sidiropoulos, “High Performance Adaptive Algorithms for Single-Group Multicast Beamforming”, IEEE Trans. on Signal Processing, 63(16):4373–4384, Aug. 15, 2015. PDF

(93) A.P. Liavas, and N.D. Sidiropoulos, “Parallel Algorithms for Constrained Tensor Factorization via the Alternating Direction Method of Multipliers”, IEEE Trans. on Signal Processing, 63(20):5450–5463, Oct. 15, 2015. PDF

(92) A. Konar, N.D. Sidiropoulos, and O. Mehanna, “Parametric Frugal Sensing of Power Spectra for Moving Average Models”, IEEE Trans. on Signal Processing, 63(5):1073–1085, Mar 1, 2015. PDF

(91) O. Mehanna, K. Huang, B. Gopalakrishnan, A. Konar, and N.D. Sidiropoulos, “Feasible Point Pursuit and Successive Approximation of Non-convex QCQPs”, IEEE Signal Processing Letters, 22(7):804–808, July 2015. PDF

(90) E.E. Papalexakis, A. Fyshe, N.D. Sidiropoulos, P.P. Talukdar, T. Mitchell, C. Faloutsos, “Good-Enough Brain Model: Challenges, Algorithms and Discoveries in Multi-Subject Experiments”, Big Data, Dec. 2014 (DOI: 10.1089/big.2014.0044). PDF

(89) E.E. Papalexakis, T. Mitchell, N.D. Sidiropoulos, C. Faloutsos, P.P. Talukdar, B. Murphy, “Turbo-SMT: Parallel Coupled Sparse Matrix-Tensor Factorizations and Applications”, Statistical Analysis and Data Mining (SAM) journal, ’Best of SDM 2014’ special issue, to appear.

(88) E.E. Papalexakis, C. Faloutsos, and N.D. Sidiropoulos, “ParCube: Sparse parallelizable CANDECOMP-PARAFAC tensor decomposition”, ACM Transactions on Knowledge Discovery from Data, 10(1):1-25 (article no. 3), July 2015. PDF

 (87) E. Tsakonas, J. Jalden, N.D. Sidiropoulos, and B. Ottersten, “Convergence of the Huber M-Estimate in the Presence of Dense Outliers”, IEEE Signal Processing Letters, 21(10):1211-1214, Oct. 2014. PDF

(86) X. Fu, W.-K. Ma, K. Huang, and N.D. Sidiropoulos, “Blind Separation of Quasistationary Sources: Exploiting Convex Geometry in Covariance Domain”, IEEE Trans. on Signal Processing, 63(9):2306–2320, May 1, 2015. PDF

(85) O. Mehanna, and N.D. Sidiropoulos, “Channel Tracking and Transmit Beamforming with Frugal Feedback”, IEEE Trans. on Signal Processing, 62(24):6402–6413, Dec. 2014. PDF

(84) B. Gopalakrishnan, and N.D. Sidiropoulos, “Cognitive Transmit Beamforming from Binary CSIT”, IEEE Trans. on Wireless Communications, 14(2):895–906, Feb. 2015. PDF

(83) N.D. Sidiropoulos, E.E. Papalexakis, and C. Faloutsos, “PArallel RAndomly COMPressed Cubes: A Scalable Distributed Architecture for Big Tensor Decomposition”, IEEE Signal Processing Magazine, Special Issue on Signal Processing for Big Data, pp. 57-70, Sep. 2014. PDF

(82) O. Mehanna, and N.D. Sidiropoulos, “Maximum Likelihood Passive and Active Sensing of Wideband Power Spectra from Few Bits”, IEEE Trans. on Signal Processing, 63(6):1391–1403, Mar 15, 2015. PDF

(81) N.D. Sidiropoulos and E. Tsakonas, “Signal Processing and Optimization Tools for Conference Review and Session Assignment”, IEEE Signal Processing Magazine, 32(3):141–155, May 2015. PDF Interested in trying out our tools? – write to nikos@virginia.edu 

(80) K. Huang, and N.D. Sidiropoulos, “Putting NMF to the Test: A Tutorial Derivation of Pertinent Cramer-Rao Bounds and Performance Benchmarking”, IEEE Signal Processing Magazine, Special Issue on Source Separation and Applications, pp. 76-86, May 2014. PDF

 (79) E.E. Papalexakis, U Kang, C. Faloutsos, N.D. Sidiropoulos, and A. Harpale, “Large Scale Tensor Decompositions: Algorithmic Developments and Applications”, IEEE Data Engineering Bulletin, Special Issue on Social Media and Data Analysis, vol. 36(3):59–66, Sep. 2013. PDF

(78) K. Huang, N.D. Sidiropoulos, and A. Swami, “Non-negative Matrix Factorization Revisited: New Uniqueness Results and Algorithms”, IEEE Trans. on Signal Processing, 62(1):211–224, Jan. 2014. PDF

(77) D. Angelosante, G.B. Giannakis, and N.D. Sidiropoulos, “Sparse Parametric Models for Robust Nonstationary Signal Analysis”, IEEE Signal Processing Magazine, Special Issue on Time-Frequency Analysis and Applications, pp. 64–73, Nov. 2013. PDF

(76) E. Tsakonas, J. Jalden, N.D. Sidiropoulos, and B. Ottersten, “Sparse Conjoint Analysis through Maximum Likelihood Estimation”, IEEE Trans. on Signal Processing, 61(22):5704–5715, Nov. 2013. PDF

(75) B. Gopalakrishnan, and N.D. Sidiropoulos, “Joint Back-Pressure Power Control and Interference Cancellation in Wireless Multi-Hop Networks”, IEEE Trans. on Wireless Communications, 12(7):3484–3495, July 2013. PDF

(74) N.D. Sidiropoulos, and A. Kyrillidis, “Multi-Way Compressed Sensing for Sparse Low-Rank Tensors”, IEEE Signal Processing Letters, 19(11):757–760, Oct. 2012. PDF Matlab demo

(73) O. Mehanna, and N.D. Sidiropoulos, “Frugal Sensing: Wideband Power Spectrum Sensing from Few Bits”, IEEE Trans. on Signal Processing, 61(10):2693–2703, May 2013. PDF

(72) O. Mehanna, N.D. Sidiropoulos, and G.B. Giannakis, “Joint Multicast Beamforming and Antenna Selection”, IEEE Trans. on Signal Processing, 61(10):2660–2674, May 2013. PDF

 (71) E.E. Papalexakis, N.D. Sidiropoulos, and R. Bro, ``From k-means to higher-way co-clustering:  multilinear decomposition with sparse latent factors'', IEEE Trans. on Signal Processing, 61(2):493–506, Jan. 2013. PDF

(70) R. Bro, E.E. Papalexakis, Evrim Acar, and N.D. Sidiropoulos, ``Coclustering - a useful tool for chemometrics'', Journal of Chemometrics, DOI: 10.1002/cem.1424, Jan. 2012. PDF

(69) E. Matskani, N.D. Sidiropoulos, and L. Tassiulas, ``Convex Approximation Algorithms for Back-pressure Power Control", IEEE Trans. on Signal Processing, 60(4):1957–1970, Apr. 2012. PDF

(68) I. Mitliagkas, N.D. Sidiropoulos, and A. Swami, ``Joint Power and Admission Control for Ad-hoc and Cognitive Underlay Networks: Convex Approximation and Distributed Implementation", IEEE Trans. on Wireless Communications, 10(12):4110-4121, Dec. 2011. PDF

(67) D. Nion, N.D. Sidiropoulos, ``Tensor Algebra and Multi-dimensional Harmonic Retrieval in Signal Processing for MIMO Radar", IEEE Trans. on Signal Processing, 58(11):5693-5705, Nov. 2010. PDF

(66) D. Angelosante, G.B. Giannakis, and N.D. Sidiropoulos, ``Estimating Multiple Frequency-Hopping Signal Parameters via Sparse Linear Regression", IEEE Trans. on Signal Processing, 58(10):5044-5056, Oct. 2010. PDF

(65) A.B. Gershman, N.D. Sidiropoulos, S. Shahbazpanahi, M. Bengtsson, and B. Ottersten, ``Convex Optimization-based Beamforming: From Receive to Transmit and Network Designs'', IEEE Signal Processing Magazine, special issue on Convex Optimization for Signal Processing,  pp. 62-75, May 2010. PDF

(64) A. Abdelkader, A.B. Gershman, and N.D. Sidiropoulos,``Multiple-Antenna Multicasting Using Channel Orthogonalization and Local Refinement'', IEEE Trans. on Signal Processing, 58(7):3922-3927, July 2010. PDF

(63) D. Nion, N.D. Sidiropoulos, ``Adaptive Algorithms to Track the PARAFAC Decomposition of a Third-Order Tensor’’, IEEE Trans. on Signal Processing, 57(6):2299-2310, June 2009. PDF

(62) A. Valyrakis, E. Tsakonas, N.D. Sidiropoulos, A. Swami, ``Stochastic Modeling and Particle Filtering Algorithms for Tracking a Frequency-Hopped Signal’’, IEEE Trans. on Signal Processing, 57(8):3108-3118, Aug. 2009. PDF

(61) V. Ntranos, N.D. Sidiropoulos, L. Tassiulas, ``On Multicast Beamforming for Minimum Outage’’, IEEE Trans. on Wireless Communications, 8(6):3172-3181, June 2009. PDF

(60) D. Nion, K. Mokios, N.D. Sidiropoulos, A. Potamianos, ``Batch and Adaptive PARAFAC-Based Blind Separation of Convolutive Speech Mixtures’’, IEEE Trans. on Audio, Speech and Language Processing, 18(6):1193-1207, Aug. 2010. PDF

(59) E. Matskani, N.D. Sidiropoulos, Z.-Q. Luo, L. Tassiulas, ``Efficient Batch and Adaptive Approximation Algorithms for Joint Multicast Beamforming and Admission Control’’, IEEE Trans. on Signal Processing, 57(12):4882-4894, Dec. 2009. PDF

(58) K.T. Phan, S.A. Vorobyov, N.D. Sidiropoulos, and C. Tellambura, ``Spectrum Sharing in Wireless Networks via QoS-Aware Secondary Multicast Beamforming’’, IEEE Trans. on Signal Processing, 57(6):2323-2335, June 2009. PDF

(57) E. Sayag, A. Leshem, N.D. Sidiropoulos, ``Finite Word Length Effects on Transmission Rate in Zero Forcing Linear Precoding for Multichannel DSL’’, IEEE Trans. on Signal Processing, 57(4):1469-1482, Apr. 2009. PDF

(56) E. Tsakonas, N.D. Sidiropoulos, A. Swami, ``Optimal Particle Filters for Tracking a Time-Varying Harmonic or Chirp Signal’’, IEEE Trans. on Signal Processing, 56(10):4598-4610, Oct. 2008. PDF

(55) E. Matskani, N.D. Sidiropoulos, Z.-Q. Luo, L. Tassiulas, ``Convex Approximation Techniques for Joint Multiuser Downlink Beamforming and Admission Control’’, IEEE Trans. on Wireless Communications, 7(7):2682-2693, July 2008. PDF

(54) E. Karipidis, N.D. Sidiropoulos, Z.-Q. Luo, ``Far-field Multicast Beamforming for Uniform Linear Antenna Arrays’’, IEEE Trans. on Signal Processing, 55(10):4916-4927, Oct. 2007. PDF

(53) A. Ribeiro, N.D. Sidiropoulos, G.B. Giannakis, ``Optimal Distributed Stochastic Routing Algorithms for Wireless Multihop Networks’’, IEEE Trans. on Wireless Communications, 7(11):4261-4272, Nov. 2008. PDF

(52) G. Latsoudas, N.D. Sidiropoulos, ``A Fast and Effective Multidimensional Scaling Approach for Node Localization in Wireless Sensor Networks’’, IEEE Trans. on Signal Processing, 55(10): 5121 – 5127, Oct. 2007. PDF

(51) E. Karipidis, N.D. Sidiropoulos, Z.-Q. Luo, ``Quality of Service and Max-min-fair Transmit Beamforming to Multiple Co-channel Multicast Groups’’, IEEE Trans. on Signal Processing, 56(3):1268-1279, Mar. 2008. PDF

(50) N.D. Sidiropoulos, Z.-Q. Luo, ``A Semidefinite Relaxation Approach to MIMO Detection for High-Order QAM Constellations’’, IEEE Signal Processing Letters, 13(9):525-528, Sep. 2006. PDF

(49) Z.-Q. Luo, N.D. Sidiropoulos, P. Tseng, S. Zhang, ``Approximation Bounds for Quadratic Optimization with Homogeneous Quadratic Constraints’’, SIAM Journal on Optimization, 18(1):1-28, Feb. 2007. PDF

(48) Alejandro Ribeiro, N.D. Sidiropoulos, G. B. Giannakis, Yingqun Yu, ``Achieving Wireline Random Access Throughput in Wireless Networking via User Cooperation’’, IEEE Trans. on Information Theory, 53(2):732-758, Feb. 2007. PDF

(47) A. Stegeman, and N.D. Sidiropoulos, ``On Kruskal's uniqueness condition for the Candecomp/Parafac decomposition’’, Linear Algebra and its Applications, 420:540-552, 2007. PDF

(46) E. Karipidis, N.D. Sidiropoulos, A. Leshem, Li Youming, R. Tarafi, and M. Ouzzif, “Crosstalk Models for Short VDSL2 Lines from Measured 30 MHz Data’’, EURASIP Journal on Applied Signal Processing, special issue on DSL, 2006, Article ID 85859. PDF

(45) E. Karipidis, N.D. Sidiropoulos, A. Leshem, L. Youming, “Experimental Evaluation of Capacity Statistics for Short VDSL Loops”, IEEE Trans. on Communications, 53(7):1119—1122, July 2005. PDF

(44) N.D. Sidiropoulos, T.N. Davidson, Z-Q (Tom) Luo, “Transmit Beamforming for Physical Layer Multicasting”, IEEE Trans. on Signal Processing, 54(6), Part 1, pp. 2239-2251, June 2006. This paper received the IEEE Signal Processing Society 2011 best paper award. PDF

(43) R. Bro, R.A. Harshman, N.D. Sidiropoulos, M.E. Lundy, ``Modeling Multi-Way Data with Linearly Dependent Loadings’’, J. Chemometrics, 2009 (DOI: 10.1002/cem.1206). PDF

(42) G. Dimic, N.D. Sidiropoulos, “On Downlink Beamforming with Greedy User Selection: Performance Analysis and a Simple New Algorithm”, IEEE Trans. on Signal Processing, 53(10):3857-3868, Oct. 2005. This paper received the IEEE Signal Processing Society 2007 best paper award.  PDF

(41) X. Liu, N.D. Sidiropoulos, and A. Swami, “Joint Hop Timing and Frequency Estimation for Collision Resolution in Frequency-Hopped Networks”, IEEE Trans. on Wireless Communications, 4(6):3063-3074, Nov. 2005. PDF

(40) G. Latsoudas, N.D. Sidiropoulos, “A Hybrid Probabilistic Data Association - Sphere Decoding Detector for Multiple-Input Multiple-Output Systems”, IEEE Signal Processing Letters, 12(4):309-312, Apr. 2005. PDF

(39) T. Jiang, and N.D. Sidiropoulos, “Blind Identification of Out of Cell Users in DS-CDMA”, EURASIP Journal on Applied Signal Processing (JASP), special issue on Advances in Smart Antennas, 2004(9):1212-1224, Aug. 2004. PDF

(38) N.D. Sidiropoulos, A. Swami, and B. Sadler, “Quasi-ML Period Estimation from Incomplete Timing Data”, IEEE Trans. on Signal Processing, 53(2):733-739, Feb. 2005. PDF

(37) Y. Rong, S.A. Vorobyov, A.B. Gershman, and N.D. Sidiropoulos, “Blind Spatial Signature Estimation via Time-Varying User Power Loading and Parallel Factor Analysis”, IEEE Trans. on Signal Processing, 53(5):1697-1710, May 2005. PDF

(36) S.A. Vorobyov, Y. Rong, N.D. Sidiropoulos, and A.B. Gershman, “Robust Iterative Fitting of Multilinear Models”, IEEE Trans. on Signal Processing, 53(8):2678—2689, Aug. 2005. PDF

(35) G. Dimic, N.D. Sidiropoulos, and R. Zhang, “Signal Processing and Queueing Tools for MAC-PHYS Cross-Layer Design”, IEEE Signal Processing Magazine, special issue on signal processing and queueing aspects of network protocols, p. 40-50, Sept. 2004. PDF

(34) T. Jiang, and N.D. Sidiropoulos, “Kruskal’s Permutation Lemma and the Identification of CANDECOMP/PARAFAC and Bilinear Models with Constant Modulus Constraints”, IEEE Trans. on Signal Processing, 52(9):2625-2636, Sept. 2004. PDF

(33) J. M.F. ten Berge, N.D. Sidiropoulos, and R. Rocci, “Typical Rank and INDSCAL Dimensionality for Symmetric Three-way Arrays of Order Ix2x2 or Ix3x3”, Linear Algebra and its Applications, 388:363-377, Sep. 2004. PDF

(32) A. Stamoulis, N.D. Sidiropoulos, and G. Giannakis, “Time-Varying Fair Queueing Scheduling for Multicode CDMA Based on Dynamic Programming”, IEEE Trans. on Wireless Communications, 3(2):512-523, Mar. 2004. PDF

(31) T. Jiang, N.D. Sidiropoulos, and G.B. Giannakis, “Kalman Filtering for Power Estimation in Mobile Communications”, IEEE Trans. on Wireless Communications, 2(1):151-161, Jan. 2003. PDF

(30) G. Dimic, N.D. Sidiropoulos, and L. Tassiulas, “Wireless Networks with Retransmission Diversity Access Mechanisms: Stable Throughput and Delay Properties”, IEEE Trans. Signal Processing, 51(8):2019-2030, Aug. 2003 (special issue on signal processing for networking). PDF

(29) R. Zhang, N.D. Sidiropoulos, and M. Tsatsanis, “Collision Resolution in Packet Radio Networks Using Rotational Invariance Techniques”, IEEE Trans. on Communications, 50(1):146-155, Jan. 2002. PDF

(28) J. M.F. ten Berge, and N.D. Sidiropoulos, “On Uniqueness in CANDECOMP / PARAFAC”, Psychometrika, 67(3):399-409, Sep. 2002. PDF

(27) X. Liu, N.D. Sidiropoulos, and A. Swami, “Blind High-Resolution Localization and Tracking of Multiple Frequency Hopped Signals”, IEEE Trans. on Signal Processing, 50(4):889–901, Apr. 2002. PDF

(26) N.D. Sidiropoulos, and R. Budampati, “Khatri-Rao Space-Time Codes”, IEEE Trans. on Signal Processing, special issue on signal processing techniques for space-time coded transmissions, 50(10):2396-2407, Oct. 2002. PDF

(25) R. Bro, N.D. Sidiropoulos, and A.K. Smilde, “Maximum Likelihood Fitting Using Ordinary Least Squares Algorithms”, J. of Chemometrics, 16:387-400, Sep. 2002. PDF

(24) X. Liu, and N.D. Sidiropoulos, “Almost Sure Identifiability of Constant Modulus Multidimensional Harmonic Retrieval”, IEEE Trans. on Signal Processing, 50(9):2366-2368, Sep. 2002. PDF

(23) T. Jiang, N.D. Sidiropoulos, and J. M.F. ten Berge, “Almost Sure Identifiability of Multidimensional Harmonic Retrieval”, IEEE Trans. on Signal Processing, 49(9):1849-1859, Sep. 2001. PDF

(22) M.S. Pattichis, A.C. Bovik, J.W. Havlicek, and N.D. Sidiropoulos, “Multidimensional Orthogonal FM Transforms”, IEEE Trans. on Image Processing, 10(3):448 -464, Mar. 2001. PDF

(21) N.D. Sidiropoulos, and Xiangqian Liu, “Identifiability Results for Blind Beamforming in Incoherent Multipath with Small Delay Spread”, IEEE Trans. on Signal Processing, 49(1):228-236, Jan. 2001. PDF

(20) N.D. Sidiropoulos, “Generalizing Caratheodory’s Uniqueness of Harmonic Parameterization to N Dimensions”, IEEE Trans. Information Theory, 47(4):1687-1690, May 2001. PDF

(19) N.D. Sidiropoulos, and G. Z. Dimic, “Blind Multiuser Detection in W-CDMA Systems with Large Delay Spread”, IEEE Signal Proc. Letters, 8(9):87-89, Mar. 2001. PDF

(18) X. Liu, and N.D. Sidiropoulos, “Cramer-Rao Lower Bounds for Low-rank Decomposition of Multidimensional Arrays”, IEEE Trans. on Signal Processing, 49(9):2074-2086, Sep. 2001. PDF

(17) N.D. Sidiropoulos, G.B. Giannakis, and R. Bro, “Blind PARAFAC Receivers for DS-CDMA Systems”, IEEE Trans. on Signal Processing, 48(3):810–823, March 2000. PDF

(16) N.D. Sidiropoulos, R. Bro, and G.B. Giannakis, “Parallel Factor Analysis in Sensor Array Processing”, IEEE Trans. on Signal Processing, 48(8):2377-2388, Aug. 2000. This paper received the IEEE Signal Processing Society 2001 best paper award. PDF

(15) N.D. Sidiropoulos, and R. Bro, “On the Uniqueness of Multilinear Decomposition of N-way Arrays”, J. Chemometrics, 14(3):229-239, May 2000 (special cross-disciplinary issue on multi-way analysis). PDF

(14) Tao Li, and N.D. Sidiropoulos, “Blind Digital Signal Separation Using Successive Interference Cancellation Iterative Least Squares”, IEEE Trans. on Signal Processing, 48(11):3146-3152, Nov. 2000. PDF

(13) N.D. Sidiropoulos, and R. Bro, “Mathematical Programming Algorithms for Regression - based Nonlinear Filtering in RN”, IEEE Trans. on Signal Processing, Vol. 47, No. 3, pp. 771–782, Mar. 1999. PDF

(12) N.D. Sidiropoulos, M.S. Pattichis, A.C. Bovik, and J.W. Havlicek, “COPERM: Transform-Domain Energy Compaction by Optimal Permutation”, IEEE Trans. on Signal Processing, Vol. 47, No. 6, pp. 1679–1688, June 1999. PDF

(11) N.D. Sidiropoulos, “On the Tractability of Estimating the Germ Process of Certain Germ-Grain Random Set Models and Related Problems”, Pattern Recognition, special issue on random sets, Vol. 32, No. 9, pp. 1667–1674, 1999. PDF

(10) F. Korn, N.D. Sidiropoulos, C. Faloutsos, E. Siegel, Z. Protopapas, “Fast and Effective Retrieval of Medical Tumor Shapes”, IEEE Trans. Knowledge and Data Engineering, Vol. 10, No. 6, pp. 889–904, Nov.-Dec. 1998. PDF

(9) R. Bro and N.D. Sidiropoulos, “Least Squares Regression Under Unimodality and Non-negativity Constraints”, Journal of Chemometrics, Vol. 12, pp. 223-247, 1998. PDF

(8) N.D. Sidiropoulos, J.S. Baras, and C.A. Berenstein, “Weak Continuity with Structural Constraints”, IEEE Trans. on Signal Processing, Vol. 45, No. 12, pp. 3096-3104, Dec. 1997. PDF

(7) N.D. Sidiropoulos, “Fast Digital Locally Monotonic Regression”, IEEE Trans. on Signal Processing, Vol. 45, No. 2, pp. 389-395, Feb. 1997. PDF

(6) N.D. Sidiropoulos, “The Viterbi Optimal Runlength-Constrained Approximation Nonlinear Filter”, IEEE Trans. on Signal Processing, Vol. 44, No. 3, pp. 586-598, March 1996. PDF

(5) N.D. Sidiropoulos, J.S. Baras, and C.A. Berenstein, “Further results on MAP Optimality and Strong Consistency of Certain Classes of Morphological Filters”, IEEE Trans. on Image Processing, Vol. 5, No. 5, pp. 762-764, May 1996. PDF

(4) N.D. Sidiropoulos, D. Meleas, and T. Stragas, “MAP Signal Estimation in Noisy Sequences of Morphologically Smooth Images”, IEEE Trans. on Image Processing, Vol. 5, No. 6, pp. 1088-1093, June 1996. PDF

(3) N.D. Sidiropoulos, J.S. Baras, and C.A. Berenstein, “Optimal Filtering of Digital Binary Images Corrupted by Union/Intersection Noise”, IEEE Trans. on Image Processing, Vol. 3, No. 4, pp. 382-403, 1994. PDF

(2) N.D. Sidiropoulos, J.S. Baras, and C.A. Berenstein, “An Algebraic Analysis of the Generating Functional for Discrete Random Sets, and Statistical Inference for Intensity in the Discrete Boolean Random Set Model”, Journal of Mathematical Imaging and Vision, Vol. 4, pp. 273-290, 1994. PDF

(1) I. Pitas, and N.D. Sidiropoulos, “Pattern Recognition of Binary Image Objects Using Morphological Shape Decomposition”, Computer Vision and Image Processing, L. Shapiro and A. Rosenfeld, Editors (collection of refereed papers from J. Computer Vision, Graphics, and Image Processing), Academic Press, 1992. PDF

 

Plenary and keynote talks:

 

N.D. Sidiropoulos ``Machine learning for communications", keynote speech at the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), July 2-5, 2019, Cannes, France.

 

N.D. Sidiropoulos (joint work with N. Kargas, X. Fu) ``Tensors and Probability: an Intriguing Union", distinguished symposium talk at GlobalSIP 2018: Tensor Methods for Signal Processing and Machine Learning Symposium, Nov. 28, Anaheim, California, USA.

 

N.D. Sidiropoulos (joint work with N. Kargas) ``Tensors and Probability: an Intriguing Union", in Seventh IEEE Int. Workshop on Computational Advances in Multi-sensor Adaptive Processing (CAMSAP 2017), Dec. 10-13, Curacao, Dutch Antilles.

 

N.D. Sidiropoulos, “Tensor Decomposition Theory and Algorithms in the Era of Big Data'', Inaugural plenary lecture at EUSIPCO, Sep. 2, 2014, Lisbon, Portugal. PDF

 

N.D. Sidiropoulos, “Frugal Sensing and Estimation over Wireless Networks'', plenary lecture at ISWCS, Aug. 28, Barcelona, Spain. PDF

 

N.D. Sidiropoulos, “Joint Back-pressure Power Control and Interference Cancellation for Wireless Multi-hop Networks”, keynote speech at IEEE GlobalSIP, Network Theory Workshop, Dec. 3, 2013, Austin, Texas. PDF

 

N.D. Sidiropoulos, “Frugal Sensing: Spectral Analysis from Power Inequalities”, plenary lecture at IEEE SPAWC 2013 Workshop, June 17, 2013, Darmstadt, Germany. PDF

 

N.D. Sidiropoulos, “Cross-layer Wireless Networking: Complexity, Approximation, and Opportunities for SP Research”, plenary lecture at IEEE SPAWC 2010, June 20-23, 2010, Marrakech, Morocco. PDF

 

N.D. Sidiropoulos, “Low-Rank Decomposition of Multi-Way Arrays: A Signal Processing Perspective”, plenary lecture at IEEE SAM 2004, July 18-21, Sitges, Barcelona, Spain. PDF

 

N.D. Sidiropoulos, “Links Between Multidimensional Low-Rank and Harmonic Decomposition”, invited presentation at Numerical Multilinear Algebra and Applications mini-symposium at SIAM50 Anniversary and 2002 Annual Meeting, Philadelphia, PA, July 8-12, 2002. PDF

 

IEEE Signal Processing Society Distinguished Lecturer Program

2008-2009 IEEE SPS DL Topics:

 

Tutorials:

 

N.D. Sidiropoulos, L. De Lathauwer, X. Fu, and E.E. Papalexakis, ``Tensor Decomposition for Signal Processing and Machine Learning", IEEE ICASSP 2017 tutorial, March 5-9, 2017, New Orleans, USA.

 

N.D. Sidiropoulos, and E.E. Papalexakis, “Factoring Big Tensors in the Cloud: A

Tutorial on Tensor Decomposition for Big Data Analytics”, IEEE ICASSP 2014 tutorial,

May 4-9, 2014 - Florence, Italy. http://www.cs.cmu.edu/~epapalex/tutorials/icassp14.html

 

N.D. Sidiropoulos, “Linear Algebra for Three-way Arrays: A Signal Processing

Perspective”, IEEE ICASSP 2005 tutorial TUT-14, March 19, 2005, Philadelphia, PA,

U.S.A.

 

N.D. Sidiropoulos, “Linear Algebra for Three-way Arrays: A Signal Processing

Perspective”, IEEE ISSPIT 2003 tutorial, Dec. 14, 2003, Darmstadt, Germany.

 

Research honors & awards:

 

·         IEEE Signal Processing Society 2011 best paper award, for the paper “Transmit Beamforming for Physical Layer Multicasting”, by N.D. Sidiropoulos, T.N. Davidson, and Z.-Q. Luo, published in IEEE Trans. on Signal Processing, June 2006.

 

Current & recent research grants:

 

·         Collaborative Research: Multimodal Sensing and Analytics at Scale: Algorithms and Applications, NSF ECCS-1807660, N.D. Sidiropoulos (collaborative project with X. Fu, Oregon State University).

·         Identifying Potential Investors using Joint Factorization and Latent Clustering, Corning, PI: N.D. Sidiropoulos; Co-PI: K. Huang.

·         III: Medium: High-Performance Factorization Tools for Constrained and Hidden Tensor Models, NSF IIS-1704074, PI: G. Karypis, co-PI: N.D. Sidiropoulos.

·         Oct. 2016: Received gift funding from Huawei Inc. to support our group’s 5G wireless research.

·         Robust and Scalable Volume Minimization-based Matrix Factorization for Sensing and Clustering”, NSF ECCS-1608961, PI: N.D. Sidiropoulos; Co-PI: X. Fu.

·         CIF: Small: Feasible Point Pursuit for Non-convex QCQPs: Algorithms and Signal Processing Applications”, NSF CIF-1525194, PI: N.D. Sidiropoulos. This is a collaborative project with SUNY-Buffalo (K. Slavakis).

·         BIGDATA: IA: DKA: Collaborative Research: Learning Data Analytics: Providing Actionable Insights to Increase College Student Success, NSF IIS-1447788, PI: G. Karypis, co-PI: N.D. Sidiropoulos. This is a collaborative project with GMU.

·         Workshop on Big Data: From Signal Processing to Systems Engineering, NSF ECCS-1327148, PI and Chair: N.D. Sidiropoulos. Held at Arlington, Virginia, March 21-22, 2013.

·         Wideband cognitive sensing from a few bits, NSF ECCS-1231504, PI: N.D. Sidiropoulos.

·         EARS: Spectral Tweets: A Community Paradigm for Spatio-temporal Cognitive Sensing and Access, NSF AST-1247885, PI: N.D. Sidiropoulos, co-PIs: G.B. Giannakis, and J.D. Haupt.

·         BIGDATA: Mid-Scale: DA: Collaborative Research: Big Tensor Mining: Theory, Scalable Algorithms and Applications, NSF IIS-1247632, PI: N.D. Sidiropoulos, co-PI: G. Karypis. This is a collaborative project with CMU (PI: C. Faloutsos, co-PI: T. Mitchell, NSF IIS-1247489).

·         Sparse Latent Factor Models for Social Network Analysis and Tensor Completion, ARO/STIR W911NF-11-1-0500, PI: N.D. Sidiropoulos (9/15/2011 - 6/15/2012).

 

 

Professional Service:

 

Vice President, IEEE Signal Processing Society (2017-2019), responsible for membership activities.

 

Associate Editor: IEEE Signal Processing Letters (2000 - 2002); IEEE Trans. Signal Processing (2000 - 2006); Signal Processing (2009-2011)

 

Area Editor: IEEE Trans. Signal Processing (2012-2014)

 

Guest co-Editor of Special Issue on Convex Optimization in Signal Processing, IEEE Signal Processing Magazine, May 2010.

 

Member of the Editorial Board, IEEE Signal Processing Magazine (2009-2011)

 

Associate Editor: Signal Processing (2009 - 2013)

 

Chair of Signal Processing for Communications Technical Committee (SPCOM-TC), IEEE Signal Processing Society, 2007 – 2008 (vice-chair, 2005 – 2006)

 

Technical Committee Member:

 

Technical Program Committee Chair for IEEE CAMSAP 2005 Workshop, held in Puerto Vallarta, Mexico, Dec. 13-15, 2005: CAMSAP2005

 

General Co-Chair (with R. Rao, RIT) for IEEE CAMSAP 2007 Workshop, St. Thomas, U.S. Virgin Islands, Dec. 12-14, 2007: CAMSAP2007   

 

Technical Program Committee co- Chair (with B. Sadler, ARL) for IEEE SAM 2008 Workshop, July 21-23, Darmstadt, Germany: SAM2008

 

Chair: TRICAP 2006 (cross-disciplinary three-way analysis workshop), held in Crete, Greece, June 2006: TRICAP2006 Workshop

 

Special sessions chair for IEEE DSP 2011, July 6-8, 2011, Corfu – Greece

 

Special sessions co-chair for IEEE SPAWC 2013, June 16-19, 2013, Darmstadt, Germany

 

Member of the organizing committee of ICASSP 2011 in Prague, ICASSP 2015 in Brisbane, and Asilomar 2015

 

Former graduate students:

 

Tao Li, Ph.D. (UVA) May 2000, “Blind Signal Separation Using Batch and Adaptive Multilinear Regression”. Member of Technical Staff, Philips Wireless, San Jose, CA, 2000-2006. Senior system architect, ApaceWave, Fremont, CA (2007-).

Xiangqian Liu, M.Sc. December 1999 (UVA), Ph.D. July 2002 (UMN), “Multidimensional Low Rank and Harmonic Analysis with Applications in Spread Spectrum Communications”. Assistant Professor at the University of Louisville, KY, 2002-2007; Associate Professor, University of Louisville, KY (2008); Staff Scientist, Broadcom, Atlanta (2009-).

Tao Jiang, Ph.D. August 2003 (UMN), “Low-Rank Decomposition of Multi-Way Arrays with Applications in Signal Processing and Wireless Communications”. Post-Doctoral Researcher in Prof. Ottersten’s group at KTH, Sweden, Aug. 2004 - Mar. 2005; Mathematical Analyst, Bear Stearns, London U.K. & Tokyo, Japan, Apr. 2005 - May 2008; June - October 2008, Analyst at JP Morgan, Tokyo; Nov. 2008 - Oct. 2013, Senior Analyst with the Royal Bank of Scotland, Hong Kong; Nov. 2013 -, Senior Analyst with Macquarie, Hong Kong.

Goran Dimic, M.Sc. April 2001 (UMN), Ph.D. May 2004 (UMN), “Capacity-Approaching Schemes for Multiple Access and Multiuser Downlink Transmission in Wireless Networks”. Senior Researcher and Group Leader, Institute Mihailo Pupin, Belgrade www.institutepupin.com Dec. 2005 –  Goran on Serbian public TV! - .mpg video

Rama Budampati, M.Sc. December 2001 (UMN), “Khatri-Rao Space-Time Codes”. Engineering Manager at Honeywell, Minneapolis, where he has been on the technical staff since 2003. 

Georgios Latsoudas, M.Sc. August 2006 (TUC), “Multidimensional Scaling Approach for Node Localization in Wireless Sensor Networks”.  Member of Technical Staff at Wind Cellular, Athens-Greece.

Kleanthis Mokios, M.Sc. August 2006 (TUC), “Blind Speech Separation Using PARAFAC Analysis’’. Kleanthis started his own business, working on software for location-aware applications. He now works as a software engineer at OTS SA.

Evaggelia Matskani, M.Sc. July 2007 (TUC), “Convex Approximation Techniques for Joint Multiuser Downlink Beamforming and Admission Control”. Ph.D. June 2012 (TUC), “Joint Resource Allocation and Routing in Wireless Networks via Convex Approximation Techniques”. Researcher at CERTH, Thessaloniki, Greece (Sep. 2012 -).

Alexandros Valyrakis, M.Sc., Oct. 2007 (TUC), “Stochastic Modeling and Particle Filtering for Frequency Hopping”. Officer in the Greek Air Force Corps of Engineers.

Eleftherios (Lefteris) Karipidis, Ph.D. Aug. 2008 (TUC), “Transmit Beamforming to Multiple Co-channel Multicast Groups”. Postdoctoral researcher, then Assistant Professor at Linkoping University, Sweden (2008-2013). Senior researcher at Ericsson Research, Stockholm, Sweden, (June 2013-).

Dimitrios Evangelinakis, M.Sc. July 2010 (TUC), “Joint Admission and Power Control Using Branch & Bound and Gradual Admissions”. Member of technical staff at Nokia - Siemens R&D Center, Athens, Greece (Sep. 2010).

Ioannis Mitliagkas, M.Sc. July 2010 (TUC), “Joint Power and Admission Control for Ad-hoc and Cognitive Underlay Networks: Convex Approximation and Distributed Implementation”. Ioannis earned his Ph.D. at UT Austin, and is now an Assistant Professor at the University of Montreal.

Evangelos Papalexakis, M.Sc. July 2011 (TUC), “Co-clustering as multilinear decomposition with sparse latent factors”. Currently Assistant Professor at UC Riverside.

Thimios Tsakonas, Diploma Thesis 2008 (TUC), “Tracking a time-varying harmonic using particle filtering”. Thimios earned his Ph.D. at KTH, Sweden (Sep. 2014).  He is currently working as a data scientist at Elsevier, Amsterdam.

Vassilis Ntranos, Diploma Thesis 2009 (TUC), “Multicast beamforming for minimum outage”. Vassilis earned his Ph.D. at USC, and is now a postdoctoral associate at Berkeley. 

Omar Mehanna, Ph.D. 2014 (UMN), “Frugal Sensing and estimation over Wireless Networks’’. Currently at Qualcomm, Inc.

Artem Mosesov, M.Sc. 2014 (UMN), “Adaptive Non-negative Least Squares with Applications to Non-Negative Matrix Factorization”. Currently at St. Jude Medical.

Balasubramanian Gopalakrishnan, PhD. 2015 (UMN), “High Performance Adaptive Transmit Beamforming for Wireless Networks using Binary CSIT”. Currently at Qualcomm, Inc.

John Tranter, M.Sc. 2016 (UMN), ``Fast Unit-modulus Least Squares’’. John is Professor of Music at UMN, a highly sought-after trombone performer, and a senior engineer / data analyst / machine learning guru at St. Jude Medical.

Kejun Huang, Ph.D. Aug. 2016 (UMN), ``Constrained Matrix and Tensor Factorizations: Theory, Algorithms, and Applications". After a two-year postdoc in our group at UMN, Kejun is now Assistant Professor in the Computer Science Department, University of Florida, Gainesville.

Aritra Konar, Ph.D. Sep. 2017 (UMN), ``Non-convex QCQP: Hidden Convexity, Scalable Approximation and Applications". Post-doctoral researcher in Sidiropoulos' group at UVA (10/2017--).

 

 

Post-Docs and Visitors:

 

Dimitri Nion (2007-2008). Dimitri spent a year at TUC, working on adaptive algorithms for PARAFAC decomposition, blind speech separation, and MIMO radar, funded by the French DGA. After TUC, he joined K.U. Leuven, Kortrijk, Belgium. He now works for Bombardier in France.

Niranjay Ravindran (2013-2014). Niranjay worked on parallel algorithms for sparse tensor compression and factorization. He is now with Hitachi Global Storage Technologies in Rochester, MN.

Xiao Fu (2013-). Xiao first came to UMN as a visiting senior Ph.D. student from the Chinese University of Hong Kong, where he worked under the supervision of Prof. Ken Ma. In the fall of 2014, he re-joined as a Post-Doc. In Aug. 2017, Xiao joined Oregon State University as Assistant Professor in the Electrical Engineering and Computer Science Department.

Cheng Qian first joined as a visiting PhD student in the fall of 2014 for a two-year stay. He re-joined as a postdoc in the Spring of 2017, and has been with the group since. 

Mikael Sorensen joined our group as a Research Scientist in May 2017.

 

Current PhD students:

 

Bo Yang

Charilaos Kanatsoulis

Ahmed Zamzam

Nikos Kargas

Faisal Almutairi

Mohamed Salah Ibrahim

 

Photo gallery: here and more recent ones here

 

Software:

 

COMFAC: Matlab code for LS fitting of the complex PARAFAC model in 3-D

TALS: Plain-vanilla Matlab code for LS fitting of the complex PARAFAC model in 3-D

QALS: Plain-vanilla Matlab code for LS fitting of the complex PARAFAC model in 4-D

 testCDMA.m: simple PARAFAC-CDMA demo

MDF.m: Multi-Dimensional Folding algorithm for 2-D harmonic retrieval

MDE.m: Multi-Dimensional Embedding algorithm for the retrieval of 2-D damped harmonics

testJStB.m: illustration of identifiability claim in Jiang, Sidiropoulos, ten Berge, IEEE Trans. Signal Proc. Sep. 2002

CompressedSensingForTensorsDemo.m: demo of identifiability claim in SPL 2012 see also paper PDF

3-way links: