George Tzagkarakis is a Research Scientist with more than 15 years of R&D experience in Quantitative Research and Scientific Data Analysis, with a main focus on multimodal data learning and analysis, distributed information processing, mathematical modeling, risk analytics, and computational finance. He holds a PhD and MSc in Computer Science (1st in class, highest honors) - with a major in Statistical Signal Processing - from the Computer Science Department, University of Crete (UOC), Greece, a PhD in Finance - with a major in Risk Quantification - from the Economics, Business and Society Doctoral School, Research Institute for the Management of Organizations, University of Bordeaux, France, and a BSc in Mathematics (1st in class, highest honors) - with a major in Applied and Computational Mathematics - from the Department of Mathematics, University of Crete, Greece.

In the period 2002-2010, he was a Research Associate at the Foundation for Research and Technology-Hellas (FORTH), Institute of Computer Science (ICS), Crete, Greece, as a member of the Telecommunications & Networks Laboratory and the Signal Processing Laboratory. A number of academic distinctions have been awarded to him both as an undergraduate and a post-graduate student from UOC, FORTH-ICS, as well as from external state foundations. From 2010 to 2012, he was a Marie Curie Postdoctoral Researcher at the Cosmology and Statistics Laboratory, CEA/Saclay, France, working on the design and implementation of compressive sensing algorithms for remote imaging in areal and terrestrial surveillance systems. In the period from 2012 to 2018, he was a Senior Researcher and Scientific Director at EONOS Investment Technologies, Paris, France, 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. Since 2018, he has been at FORTH-ICS, where he currently holds a Principal Researcher position, affiliated with the Signal Processing Laboratory. 

His research interests primarily focus on Statistical Signal Processing, Nonlinear Time Series Analysis, Non-Gaussian Heavy-Tailed Models, Compressive Sensing, Distributed Signal Processing for Smart Sensor Networks, Computational Finance, and Machine Learning in Operations Research. George is empowered with pure problem-solving skills and analytical thinking power, in conjunction with an extended experience in transferring research and interacting with the industry, which he obtained through his involvement in European and national R&D and R&I projects.