ESAT
Kasteelpark Arenberg 10, bus 2446, B-3001 Leuven, Belgium
office: B00.13
phone: +32 56 24 60 62
fax: 2 19 70

email: .@esat.kuleuven.be
www: Personal homepage

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Signal Processing Based on Multilinear Algebra Keywords: linear and multilinear algebra, higher-order tensor, matrix/tensor decomposition, statistical signal and array processing, higher-order statistics, independent component analysis, blind source separation, factor analysis, latent variable analysis, harmonic retrieval, identification, blind identification and equalization. Software: Tensorlab: A MATLAB toolbox for tensor computations and decompositions Tensorlab+: A reproducible research repository for tensor computations Complex Optimization Toolbox: A MATLAB toolbox for optimization of complex variables Workshops: EURASIP Summer School on Tensor-Based Signal Processing, August 27-31, 2018, Leuven, Belgium. Winter School on Tensor Decompositions and (Large-Scale) Applications, January 6-13, 2017, Leuven, Belgium. Workshop on Tensor Decompositions and Applications (TDA 2016), Jan. 18-22, 2016, Leuven, Belgium. Winter School on Tensor Decompositions and Blind Signal Separation, Jan. 15-16, 2016, Leuven, Belgium.

Nico Vervliet

I obtained the Ph.D. degree in Engineering from KU Leuven in 1997. From 2000 to 2007 I was Research Associate with the Centre National de la Recherche Scientifique, France (Lab. ETIS, Cergy-Pontoise). In September 2007 I joined KU Leuven again as Associate Professor. In 2013 I became Professor and in 2018 Full Professor. I am affiliated with both the Group Science, Engineering and Technology of Kulak and with the Stadius Center for Dynamical Systems, Signal Processing and Data Analytics of the Electrical Engineering Department (ESAT). My research concerns the development of tensor tools for engineering applications.

• Tensor Tools for Taming the Curse
• Between linear and nonlinear: new tensor perspectives
• FAIR 2-0 - AI Research Program

     View the publications list of L. De Lathauwer.

• 2022 IEEE SPS Donald G. Fink Overview Paper Award
  

  2022 IEEE SPS Donald G. Fink Overview Paper Award

  Nicholas D. Sidiropoulos, Lieven De Lathauwer, Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, and Christos Faloutsos

   "Tensor Decomposition for Signal Processing and Machine Learning"
  IEEE Transactions on Signal Processing, July 2017
  https://ieeexplore.ieee.org/abstract/document/7891546

   

• Fellow EURASIP
  

  Lieven has been elected as a Fellow of the European Association of Signal Processing (EURASIP) “for contributions to tensor-based signal processing”.

• 2018 IEEE SPS Signal Processing Magazine Best Paper Award
  

  Cichocki A., Mandic D., Phan A.-H., Caiafa C., Zhou G., Zhao Q., De Lathauwer L., "Tensor Decompositions for Signal Processing Applications. From Two-way to Multiway Component Analysis", IEEE Signal Processing Magazine, vol. 32, no. 2, Mar. 2015, pp. 145-163.

  Click here for more info.

• Fellow SIAM (2017)
• Fellow IEEE (2015)
• EURASIP Student Paper Prize
  Best Student Paper IEEE Signal Processing Society Workshop on Higher-Order Statistics, July 21-23, 1997, Banff, Alberta, Canada
• Best Junior Presentation Award
  Best Student Presentation 16th Benelux Meeting on Systems and Control, March 5-7, 1997, Houffalize, Belgium
• Student Award
  Best Student Paper IEEE Signal Processing / ATHOS Workshop on Higher-Order Statistics, June 12-14, 1995, Girona, Spain

• Guest Editor SIAM Journal on Matrix Analysis and Applications
  Special Issue on "Tensor Decompositions and Applications", Vol. 30, No. 3, 2008 (co-editors: P. Comon, N. Mastronardi).
  
  
• Guest editor Signal Processing
  Special Issue Blind Source Separation and Multichannel Deconvolution, Vol. 73, Nos. 1-2, Feb. 1999 (co-editor: P. Comon).
  
  
• Associate Editor SIAM Journal on Matrix Analysis and Applications
• Associate Editor IEEE Transactions on Signal Processing
  
  

Contents updated from database. Copyright 2006 SMC