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Thanasis Zoumpekas

Marie Skłodowska-Curie ITN - Researcher

Barcelona, Spain

thanasis.zoumpekas@ub.edu

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Curriculum Vitae


Short bio

I was born in Xanthi, a town in the northern part of Greece, in 1993. I graduated from the 3rd Lyceum of Xanthi and later moved to Volos, Greece for my university studies. I received my Diploma and M.Sc. degree from the Department of Electrical and Computer Engineering, University of Thessaly, in 2018 and 2019 respectively. From May 2018 till September 2020, I was working as a Research Data Scientist and Machine Learning Engineer at the University of Thessaly. Currently I am a Marie Skłodowska-Curie ITN - Researcher at the Faculty of Mathematics and Computer Science, University of Barcelona. My research interests lie under the domain of data science. In particular, I am interested in machine learning, deep learning, artificial intelligence, big data analytics, visualizations, statistics, natural language processing and bioinformatics, not always in this order of significance.


Languages

Greek

Native Language

English

Proficient user - Proficiency (C2)

German

Independent user - Upper Intermediate (B2)



Research Experience

Marie Skłodowska-Curie ITN - Researcher / University of Barcelona, Barcelona, Spain
Oct 2020

Machine Learning and interactive 3D visualisation of temporal point clouds for predicting morphological changes.


Researcher - Data Scientist & Machine Learning Engineer / University of Thessaly, Volos, Greece
May 2018 - Sept 2020

Providing Small and Medium-sized Enterprises (SMEs) with Business Intelligence through Machine Learning & Deep Learning.


Research Software Engineering Intern / Democritus University of Thrace, Xanthi, Greece
Jun 2016 - Sept 2016

Euclid Lab - Algorithms and Privacy Research Unit.


Education

University of Barcelona, Barcelona, Spain
2020

PhD Candidate / Faculty of Mathematics and Computer Science


University of Thessaly, Volos, Greece
2018 - 2019

Master of Science in Science and Technology of Electrical and Computer Engineering


University of Thessaly, Volos, Greece
2011 - 2017

Diploma of Engineering - Computer, Networks and Communications Engineering


Publications

ETH analysis and predictions utilizing deep learning
Expert Systems with Applications, Volume 162, 30 December 2020

Thanasis Zoumpekas, Elias Houstis, Manolis Vavalis. Science Direct


Analysis of Innovation with Data Science: The case of Greece
Under Review

Thanasis Zoumpekas, Manolis Vavalis, Elias Houstis.


Other Notable Projects

Modeling & Analysis of Innovation using Artificial Intelligence
MSc Diploma Thesis

The purpose of this project was to compare innovativeness using the indicators from the European Innovation Scoreboard. We compared the scores of Greece with the EU average scores over the period 2010-2017. We analysed systematic overand underperformance of Greece and the trends of these indicators over the years. Furthermore we used machine learning techniques to determine the most important features that drive the fluctuation of summary innovation score on EU and Greece level.


Cryptocurrency Analysis & Predictions utilizing Machine Learning
MEng Diploma Thesis

The purpose of this project was to provide a comprehensive analysis of the cryptocurrency market. We used several methods of statistics and machine learning. We utilized deep learning algorithms for prediction. In particular, multiple neural network architectures are developed and evaluated. The final product was a real-time prediction software of closing price of Ethereum.


Implementation of theta-join technique using distributed cluster-computing frameworks
Postgraduate project

An individual semester project. Inequality joins across distributed databases are implemented using the Apache Spark, under the broader concept of Map-Reduce.


Speech and Audio Processing Techniques
Postgraduate project

A team semester project. Fundamental techniques of speech and audio processing are utilized to extract and create basic signal features. Phoneme and speech classification has been conducted using probabilistic and statistical modeling.