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George Tzagkarakis received the Ph.D. and M.Sc. degrees (First in Class, Honors) from the Computer Science Department (CSDat the University of Crete (UoC), Greece, in 2009 and 2004, respectively, and the B.Sc. degree in Mathematics from the Department of Mathematics (UoC) in 2002 (First in Class, Honors). A number of academic distinctions have been rewarded to him both as an undergraduate and a post-graduate student from UoC, the Institute of Computer Science (ICS) of the Foundation for Research and Technology-Hellas (FO.R.T.H.), as well as from external state foundations. 

Since 2000 he has been collaborating with the Wave Propagation Group of the Institute of Applied and Computational Mathematics (IACM-FO.R.T.H.), while
in the period 2002-2010 he was affiliated as a research 
assistant in the Telecommunications and Networks Lab (TNL-ICS).

From
2010 to 2012 he was affiliated with CEA/Saclay as a Marie Curie post-doctoral researcher in the Cosmology and Statistics Laboratory, working on the design and implementation of compressive sensing algorithms for remote imaging in areal and terrestrial surveillance systems.

Since 2012, he holds a research position in EONOS Investment Technologies, where he now serves as the company's Scientific Director being responsible for developing and managing scientific research projects strategically aligned with the state-of-the-art in quantitative analysis, econometrics, and computational finance using advanced signal and data processing methodologies. Furthermore, he is affiliated with the Signal Processing Laboratory (SPL) at ICS-FO.R.T.H. as a research associate.

His
research interests lie in the fields of statistical signal and image processing, with emphasis in: 
  • Non-Gaussian heavy-tailed modeling 
  • Compressive sensing and sparse representations, with applications in signal, image and video processing 
  • Computational finance, econometrics and operations research 
  • Distributed signal processing in wireless sensor networks 
  • Information theory, with applications in image classification and retrieval 
  • Inverse problems in underwater acoustics



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