The Team.

The Data Mining and Analytics (DaMA) research group was established in 2016 by Prof. Christos Tjortjis at the School of Science and Technology, International Hellenic University.
Today, the group includes 4 Postdoctoral researchers, 5 PhD candidates, and 7 MSc students.

When a Team is Above All Nothing is Impossible!

PhD in Improved Data Science Methods for Real World Business Applications at the International Hellenic University, School of Science and Technology. He also holds an MSc in Data Science from International Hellenic University and a BSc in Accounting and Finance from the University of Macedonia. His research interests lie in Data Science and applied optimization methods for business applications, supported by strong expertise in Artificial Intelligence, advanced Machine Learning, algorithmic optimization, and predictive and data analytics. He also has extensive practical experience in AI applications, big data, and applied machine learning.

Christos is an MSc candidate in Data Science at the International Hellenic University. He holds a BSc in Mathematics from the Aristotle University of Thessaloniki. His academic and professional interests focus on sports analytics, statistical modeling, and machine learning applications in performance forecasting. He has also worked on projects in natural language processing, recommender systems, time series forecasting, and large-scale database systems. With 8 years of teaching experience in mathematics, he has transitioned into industry and now works as a Production Manager in an IT and Telecommunication equipment company.

Theodore Stamoulos is a Biomedical Engineer, ICT administrator and MSc candidate for Data Science at International Hellenic University. His interests are the application of AI and ML in Medical applications and Data Science in Business, and his current ongoing MSc thesis is related to Leveraging AI/Machine Learning for Diabetes Management using CGM Data.

He holds an MSc in Biomedical Engineering from the University of Surrey UK, MBA from the University of Hertfordshire UK and BSc from Technical Educational Institution of Piraeus Greece. In addition, he has Data Analyst certification from the National and Kapodistrian University of Athens and he currently has one publication.

He is currently working as an ICT administrator, SAP local project manager and Business Analyst in Menarini Diagnostics Greece and has worked in the past as software engineer/research assistant in a Neurology Laboratory in Athens and as a Laboratory Associate Instructor in the Fluid Mechanics Department of Technological Educational Institute of Piraeus.

Y. Al-Dara – Data Analytics for the Automatic Generation of Electricity Usage Recommendations
K. Apostolou – Sports Analytics algorithms for performance prediction
G. Asderis – Sentiment analysis on twitter data
A. Avramidou – Building CO2 emissions prediction using Machine Learning/ Data mining
D. Beleveslis – Heuristic Approach for Content Based Recommendation System Based on Feature Weighting and LSH
P. Belogianni – Recommendation systems
C. Charisiadis – Data Mining on Source Code
V. Chazan-Pantzalis – Sports Analytics Algorithms for Performance Prediction
V. Chouliara – Fake News Detection
K. Christantonis – Data mining for smart cities
C. Dontaki – Sentiment Analysis on English and Greek Twitter Data towards vaccinations
D. Gerakas – Basketball Analytics for Prediction of Performance during the last minutes of a game
O. Geromichalou – Traffic Prediction
S.M. Ghafari – Association rule mining
G. Giaglis – Programmatic Automation & Yield Optimization on the Ad Exchange
N. Giannakoulas – Sports Analytics Performance Prediction
D. Gkaimanis – Stock Market Prediction using Double-DQN and Sentiment Analysis
D. Iatropoulos – Sports Analytics Using Data Mining: NBA Player Quarter-by-Quarter Performance Exploration
C. Kaimakamis – Sports Analytics algorithms for performance prediction
D. Kalliantasis – Data mining for evaluating startups and forecasting stock fluctuations
E. Kapoteli – Sentiment Analysis Related to COVID-19 Vaccines
M. Karagkiozidou – Sentiment analysis on twitter data
P. Karatakis – Data Mining for Software Management: Automatic marking of complex Rust code using software metrics
D.P. Kasseropoulos – Influencer/ fake news detection in social media
L. Konstantopoulos – An automated tool for evaluating social media influencers
P. Koudoumas – Sports Analytics algorithms for performance prediction
A. Kousis – Data Science for Smart Cities
S. Liapis – Big Data mining for smart cities
C. Markopoulou – Sport Analytics Algorithms for Football Performance Prediction
S. Myrotheou – Sports Analytics for statistical analysis and predictions in Formula 1
O. Nalmpantis – Movie Recommender System
I. Nasiara – The Impact of Twitter Sentiment on Ryanair’s Business Performance
C. Nousi – Stock market prediction using data mining
L. Oikonomou – Mining Twitter data to Predict the USA 2016 election winner
V. Papanikolaou – Data mining for smart cities: Predicting energy consumption in public buildings
I. Papikas – Human Rating System
A. Paraskevopoulos – Product recommendation system
M. Patsiarikas – Predicting S&P 500 Daily Prices: Integrating Macroeconomic Factors with Technical and Sentiment Indicators Using Machine Learning Models
I. Schoinas – Product Recommendation system
F. Shaban – Electricity consumption prediction using data mining
B.S. Syuqran Naim – Big Data mining for smart cities
N. Stasinos – Data Science in Law
K. Stathakis – Using Data Mining to Analyze Temporal Trends in the Reporting of Method-Related Keywords
D. Tasios – Mining Traffic Data
T.-I. Theodorou – Traffic Prediction Techniques under Abnormal Traffic Conditions
K.V. Tompra – Enhancing preventive healthcare: Identifying high-risk patients for cardiovascular diseases
F. Touparis – Predicting stocks movement using social media analytics
I. Tourpeslis – Data mining for smart cities
O. Trasanidis – Decision making tool for smart cities
N. Tsalikidis – Data Mining/ML for Smart House infrastructure
V. Tsarapatsanis – Fake news detection
E. Tsiara – Forecasting with predictive social media analytics
V. Tsichli – Predicting Stock Market Movements Using Social Media and Machine Learning
M. Vlachos-Giovanopoulos – Forecasting with predictive social media analytics
S. Yakhchi – Big data mining