Nikos Sidiropoulos (Fellow, IEEE) received the Diploma in Electrical Engineering from the Aristotelian University of Thessaloniki, Greece, and MS and PhD degrees in Electrical Engineering from the University of Maryland - College Park, in 1988, 1990 and 1992, respectively. He has been a postdoctoral fellow (1994-1995) and research scientist (1996-1997) at the Institute for Systems Research, University of Maryland; assistant professor in the Department of Electrical Engineering at the University of Virginia (1997-1999); associate professor in the Department of Electrical and Computer Engineering at the University of Minnesota - Minneapolis (2000-2002); Professor in the Department of Electronic and Computer Engineering at the Technical University of Crete, Chania - Crete, Greece (2002-2011); and Professor in the Department of Electrical and Computer Engineering at the University of Minnesota - Minneapolis (2011-).
His 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.
He received the NSF/CAREER award in 1998, and the IEEE Signal Processing Society (SPS) Best Paper Award in 2001, 2007, and 2011. He is an IEEE Fellow. He served as IEEE SPS Distinguished Lecturer (2008-2009), and as Chair of the IEEE Signal Processing for Communications and Networking Technical Committee (2007-2008). He served as Associate Editor for IEEE Transactions on Signal Processing (2000 - 2006), IEEE Signal Processing Letters (2000 - 2002), and on the editorial board of IEEE Signal Processing Magazine (2009-2011). He currently serves as Area Editor for IEEE Transactions on Signal Processing (2012 -), and as Associate Editor for Signal Processing. He served as TPC Chair for IEEE CAMSAP 2005 and IEEE SAM 2008, as General co-Chair for IEEE CAMSAP 2007, and tutorials co-chair and student paper awards chair for IEEE ICASSP 2011 in Prague. He received the 2010 IEEE Signal Processing Society Meritorious Service Award.
Current research thrusts related to social media and data analytics:
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.
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, vol. 61, no. 2, pp. 493--506,
E . Tsakonas, J . Jalden, N.D. Sidiropoulos, and B . Ottersten, “Maximum
Likelihood Based Sparse and Distributed Conjoint Analysis”, in Proc. IEEE SSP 2012, Aug. 5-8, 2012, Ann Arbor, U.S.A.
E.E. Papalexakis, C. Faloutsos, and N.D. Sidiropoulos, “ParCube: Sparse Parallelizable Tensor Decompositions”, in Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Bristol, United Kingdom, Sep. 24-28, 2012.
O. Mehanna, and N.D. Sidiropoulos, “Frugal Sensing: Wideband Power SpectrumSensing from Few Bits”, IEEE Trans. on Signal Processing, to appear.