Bio

B.S. Aristotle University of Thessaloniki, Greece, 1988Ph.D. University of Maryland, College Park, 1992

Nikos Sidiropoulos earned his Ph.D. in Electrical Engineering from the University of Maryland–College Park, in  1992. He has served on the faculty of the University of Virginia,  University of Minnesota, and the Technical University of Crete, Greece, prior to his current appointment as Chair of ECE at UVA. His research interests are in signal processing, communications, optimization, tensor decomposition, and factor analysis, with applications in machine learning and communications. He received the NSF/CAREER award in 1998, the IEEE Signal Processing Society (SPS) Best Paper Award in 2001, 2007, and 2011, served as IEEE SPS Distinguished Lecturer (2008-2009), and currently serves as Vice President - Membership of IEEE SPS. He received the 2010 IEEE Signal Processing Society Meritorious Service Award, and the 2013 Distinguished Alumni Award from the University of Maryland, Dept. of ECE. He is a Fellow of IEEE (2009) and a Fellow of EURASIP (2014).

Awards

  • IEEE Signal Processing Society, Claude Shannon-Harry Nyquist Technical Achievement Award 2022
  • Appointed Vice President, Membership, IEEE Signal Processing Society 2017
  • Students received three best student paper awards at IEEE conferences SPAWC 2012, ICASSP 2014, CAMSAP2015
  • Appointed ADC Endowed Chair, University of Minnesota 2015
  • Fellow, European Association for Signal Processing (EURASIP), for contributions to tensor decomposition and signal processing for communications 2014
  • Distinguished Alumni Award, Electrical and Computer Engineering Department, University of Maryland, College Park 2013
  • IEEE Signal Processing Society Best Paper Award 2001, 2007, 2011
  • IEEE Signal Processing Society Meritorious Service Award ``for dedicated service and leadership in the field of signal processing for communications and networking'' 2010
  • Distinguished Lecturer of the IEEE Signal Processing Society 2008-2009
  • Fellow, IEEE, for contributions to Signal Processing for Communications Nov. 2008
  • NSF/CAREER Award 1998

Research Interests

  • Signals, Systems, and Data Science
  • Machine Learning
  • Communications
  • Cyber-Physical Systems

In the News

Selected Publications

  • "Tensor Decomposition for Signal Processing and Machine Learning'', IEEE Trans. on Signal Processing, vol. 65, no. 13, pp. 3551-3582, July 1, 2017. DOI: 10.1109/TSP. N.D. Sidiropoulos, L. De Lathauwer, X. Fu, K. Huang, E.E. Papalexakis, and C. Faloutsos
  • "Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm'', in Proc. NIPS, Dec. 5-10, 2016, Barcelona, Spain. K. Huang, 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. B. Yang, X. Fu, 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 A. Konar, and N.D. Sidiropoulos
  • "Transmit Beamforming for Physical Layer Multicasting'', IEEE Trans. on Signal Processing, vol. 54, no. 6, Part 1, pp. 2239-2251, June 2006. This paper received the IEEE Signal Processing Society 2011 best p N.D. Sidiropoulos, T.N. Davidson, Z.-Q. Luo
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