Post-Doctoral Supervision

Academic Years	Researcher Name	Status	Project Title
2021-25	Dr Paris Koukaras	Completed	Data Mining and Knowledge Management for Smart Systems
2024-	Dr Vangelis Sarlis	Ongoing	Data Science for Sports Analytics and Business Applications
2025-	Dr Paris Koukaras	Ongoing	Learning Methods for Next-Generation Digital Intelligence: Advancing Data Mining and Management
2025-	Dr George Papageorgiou	Ongoing	Data Science Methods for Business Applications
2025-	Dr Aristeidis Mystakidis	Ongoing	Data Science for Smart Cities

PhD / MPhil supervision

Academic Years	Student Name	Degree	Status	Project Title
2003-04	Chuan Wang	MPhil	Completed	Effective approaches to discovering Association Rules
2005-07	Andrew Mohan^1	PhD	Completed	READ: a program readability metric to facilitate Software Evolution
2004-08	Spiros Denaxas	PhD	Completed	Novel framework for integrating a priori domain knowledge into traditional Data Analysis in the context of bioinformatics
2005-08	Yiannis Kanellopoulos^2	PhD	Completed	Supporting Software Systems Maintenance using Data Mining techniques
2006-08	Jung-Ching Chen^1	PhD	Completed	Managing supply chains of web services through Agent negotiations and mediation
2007-12	Ruofei He^3	PhD	Completed	Bayesian Mixture Models for Frequent Itemset Mining
2016-20	Kevin Say^4	PhD	Completed	Leveraging complexity and dynamics to engineer sustainable urban and industrial systems
2018-21	Paris Koukaras	PhD	Completed	Interdisciplinary data science methods using machine learning for enhanced knowledge acquisition
2018-	Dimitris Rousidis	PhD	Ongoing	Forecasting with Social media data
2018-24	Vangelis Sarlis	PhD	Completed	Data Science for Sports Analytics
2020-	Anestis Kousis	PhD	Ongoing	Data Science for Smart Cities
2021- 25	Aristeidis Mystakidis	PhD	Completed	Modeling Novel Data-Driven Machine Learning Approaches for Traffic Congestion & Energy Forecasting
2022-25	George Papageorgiou	PhD	Completed	Improved Data Science Methods for Real World Business Applications
2025-	Vaia Apostolou	PhD	Ongoing	AI-Driven Analysis of Disease Dynamics and Cancer Risk: A Framework for Emergency Classification, Geospatial Insights, and Personalized Risk Profiling
2025-	Maria Vasileiou	PhD	Ongoing	Data Science in Software Engineering
2025-	Spiros Konstantopoulos	PhD	Ongoing	Medical Prognosis and Diagnosis using Neural Networks and Artificial Intelligence

¹Partly supervised by Dr N. Gold. ²Co-supervised by Dr C. Makris. ³Partly supervised by Dr J. Shapiro. ⁴ Main supervisor A/Prof. M. Rosano

MSc Dissertation supervision

Academic Year	Student Name	Project Title
1999-00	Usman Samee	Building a Prototype Tool for the Clustering of Source Code
	Georgios Sgouros	TMINER: A Framework for Data Mining based on the T3 Classification Paradigm
2000-01	Kai Chen	Pre-processing source code for Data Mining application
	Ming Peng	Artificial Neutral Networks tool for stock price trend prediction
	Loukas Sinos	Building a Tool for Mining Association Rules from Source Code
2001-02	Rui Chen	Enhancing TMINER with Sequential Pattern Discovery capabilities
	Liang Dong	Enhancing TMINER with Mining Quantitative Association Rules capabilities
	Rachel Tracey	Developing a Data Mining Tool with Cluster Analysis Capabilities
	Jue Wang	A Clustering Facility for Enhancing TMINER
2002-03	Yiannis Kanellopoulos	Preprocessing C++ source code
	Dmitrii A. Singer	Developing a Data Mining Tool with Association Rules Capabilities
2003-04	Spiros Denaxas	Intelligent Search Engines - Automated Link Analysis
	Aisha Rahman	Help Desk Systems
	Dimitris Rousidis	Building a Java Code Analyser for Data Mining
2004-05	Dimitris Asimakopoulos	Web based dental patient management system
	Andrew Costello	A Web based platform to manage network security devices over a LAN connection.
	Vassilis Hardalias	Web based patient management system
	Behram Khan	Building a tool for clustering C/C++ source code
2005-06	Xiaoyun Fang	Development of a Java code analyzer to support the evaluation/comprehension of S/W systems
	Ruofei He	FP-grafting: an Association Rules algorithm
	Jingkun Wan	Biological Data Mining
2006-07	Hammad Akram	Building a C++ Code Analyser for Data Mining
	Shumail Arshad	Development of an OO code analyzer to support the evaluation/comprehension of S/W systems
	Pantelis Doratis	Data Mining algorithms
	Waqqas Naqi	Web Usage mining
2016-17	Orestis Nalmpantis	The 50/50 recommender: personality in movie recommender systems
	Lazaros Oikonomou	Predicting the USA presidential elections using Twitter Data
	Ioannis Papikas	Human Rating System
	Traianos-Ioannis Theodorou	Innovative Traffic Prediction Techniques under abnormal conditions
2017-18	Christos Charisiadis	Data Mining on Source Code
	Leonidas Konstantopoulos	An automated tool for evaluating social media influencers
	Athanasios Paraskevopoulos	Product recommendation system
	Fotis Touparis	Predicting stocks movement using social media analytics
2018-19	Konstantinos Apostolou	Sports Analytics algorithms for performance prediction
	Konstantinos Christantonis	Big Data mining for smart cities
	Dimitrios Kalliantasis	Data mining for evaluating startups and forecasting stock fluctuations
	Galinos Giaglis	Programmatic Automation & Yield Optimization on the Ad Exchange
	Ioannis Schoinas	Product Recommendation system
	Dimitrios Tasios	Mining Traffic Data
	Vaios Tsarapatsanis	Fake news detection
	Eleana Tsiara	Forecasting with predictive social media analytics
2019-20	Dimosthenis Beleveslis	Heuristic Approach for Content Based Recommendation System Based on Feature Weighting and LSH
	Victor Chazan-Pantzalis	Sports Analytics Algorithms for Performance Prediction
	Aristeidis Mystakidis	Big Data mining for smart cities
	Ioanna Nasiara	The Impact of Twitter Sentiment on Ryanair’s Business Performance
	Vasiliki Tsichli	Predicting Stock Market Movements Using Social Media And Machine Learning
2020-21	Yeliyzaveta Al-Dara	Electricity usage recommender system with limited input data
	Alexia Avramidou	Building CO2 emissions prediction using Machine Learning/ Data mining
	Paraskevi Belogianni	Sentiment analysis applied on a book recommendation system
	Christos Kaimakamis	Sports Analytics algorithms for NBA Champion Prediction
	Dimitrios Panagiotis Kasseropoulos	Fake news detection in social media
	Paschalis Koudoumas	Sports Analytics algorithms for performance prediction
	Stergios Liapis	Traffic Prediction in Smart Cities, Featuring the Impact of COVID-19
	Christina Nousi	Stock Market Prediction using Sentiment Analysis
	Vasiliki Papanikolaou	Data mining for smart cities: Energy prediction for public buildings
	Bin Shamsuddin Syuqran Naim	Big Data mining for smart cities
	Orestis Trasanidis	Decision making tool for smart cities
2021-22	Aqeel Ahmed	Intelligent IoT Network Malware Classification using Real-time Heterogenous Data
	Georgios A. Asderis	Sentiment analysis on Twitter data: a detailed comparison of TextBlob and VADER
	Deeksha S. Vijay Singh	Smart and the City: An Exploration of the Impact of Initial Conditions on (Smart) City Planning
	Widiatmoko A. Fadilah	Machine Learning for Traffic Speed Prediction using Open Source Data
	Evridiki Kapoteli	Social Media Sentiment Analysis Related to COVID-19 Vaccines: Case studies in English and Greek language
	Makrina Karagkiozidou	Sentiment Analysis on COVID19 Twitter data: A sentiment Timeline
	George Papageorgiou	Data Mining in Sports: Daily NBA Player Performance Prediction
	Iordanis Tourpeslis	Data Mining for Smart Cities: Energy Disaggregation and Recommendation System
	Michail Vlachos-Giovanopoulos	Forecasting Cryptocurrency Price Movements with Predictive Social Media Analytics
2022-23	Vasiliki Chouliara	Fake News Detection
	Chrysa Dontaki	Sentiment Analysis on English and Greek Twitter Data towards vaccinations
	Olga Geromichalou	Traffic Prediction
	Nikos Giannakoulas	Sports Analytics Performance Prediction
	Farida Shaban	Modelling and Forecasting the Electromobility Uptake in Greece by 2030: A Regional Perspective for Strategic Policy Assessment
	Nikos Tsalikidis	Data Mining/Machine Learning for Smart House infrastructure
	Maria Vasileiou	Data mining software management
2023-24	Dimitris Gerakas	Basketball Analytics for Prediction of Performance during the last minutes of a game
	Dimitris Gkaimanis	Stock Market Prediction using Double-DQN and Sentiment Analysis
	Panagiotis Karatakis	Data Mining for Software Management: Automatic marking of complex Rust code using software metrics
	Christina Markopoulou	Sport Analytics Algorithms for Football Performance Prediction
	Konstantina V. Tompra	Enhancing preventive healthcare: Identifying high-risk patients for cardiovascular diseases
2024-25	Dimitrios Iatropoulos	Sports Analytics Using Data Mining: NBA Player Quarter-by-Quarter Per-formance Exploration
	Sofia Myrotheou	Sports Analytics for statistical analysis and predictions in Formula 1
	Michail Patsiarikas	Predicting S&P 500 Daily Prices: Integrating Macroeconomic Factors with Technical and Sentiment Indicators Using Machine Learning Models
	Konstantinos Stathakis	Using Data Mining to Analyze Temporal Trends in the Reporting of Method-Related Keywords
	Ermioni Traka	Anomaly Detection in Healthcare
2025-26	Athanasios Batzelios	AI/ Data Mining / Machine Learning Algorithm Improvement
	Georgios Chrysovelidis	Analysing the impact of Airbnb listings on urban rental markets and predicting future listing prices
	Christos Kourtzanidis	Sports Analytics
	Anastasia Krapi	Application of ML algorithms in the field of medicine
	Nikos Mavriopoulos	Data Mining in Sports Analytics
	Panagiotis Patsis	Sports Analytics
	Theodore Stamoulos	Leveraging AI/machine learning for diabetes management using CGM data

Consulting project supervision

Academic Year	Student Name	Project Title
2018-19	Dimos Belevesilis	Sentiment analysis of Greek tweets

Final year project supervision

Academic Year	Student Name	Project Title
2000-01	Khurram Chaudhary	Developing a Clustering Tool for Data Mining
2001-02	Kristofer Arkwright	Incorporating Clustering into a Data Mining Classification Tool
	Ioannis Charitopoulos	Developing a Tool for Data Mining Association Rules
	Hetain Dagar	P.C.T. A Confidence Testing Website for Pharmacy Students
	Gauravendra Swarup	SCHOLAR: A Computer-Based School Management System
2002-03	Ian A. Ball	Building a COBOL Code Analyser for Data Mining
	Merve Bener	Allocation of Students into their Preferred Accommodation
2003-04	Simon Boyes	Enhancing a Clustering tool for Data Mining with visual output capabilities.
	Jamie Cole	Building a tool that scans a large database and selects part of the data to visualise
	Lana S. George	Building a tool that scans a large database and selects part of the data to visualise
	James Marchant	The web spider- automated Link Analysis
	Nafeesa Rashid	Developing a data mining tool with Clustering capabilities
2004-05	Abdelhak Attou	Web based dental patient management system
	Bakke Bjarte	BRSCN (Blackburn Rovers Supporters Club Norway) Software Tool
	Abdelbaki Djemoui	Building a Java Code Analyser for Data Mining
	Thomas Fitzsimmons	Batch Control System
	Daniel Harper	Online Project Planning System
	Rory Mccarthy	Web based GP patient management system
	Amandeep Tumber	Sales Management System
2005-06	Richard Sherman	Distributed System Framework
	Simon Wilson	Remote Administration tool
2006-07	David Glover	2D Adventure Game Engine with GUI designer and XML scripting language
	Gareth Oakley	In Car Computer System (Satellite Navigation/Tracking/Entertainment)
	Henry Slater	A masterless calendar sharing and management system
	Paul Sturgess	Hazard Detection
	Sean Wheeler	Electronic Billing System
2007-08	Benedict Agricola	Web usage mining
	Nnaemeka Ezugwu	Biological data mining
2010-11	Panagiotis Tzirakis	T3C: an improved Decision Tree Classifier for Data Mining
2011-12	Fanis Vartziotis	Java Source Code Analyser for Software Assessment
2012-13	Charis Chatzimanolis	Java source code dynamic analyzer for quality evaluation
	Diomidis Papas	Clustering and Classification for Software Quality Evaluation
2012-14	Dimitris Kalogeropoulos	Software discovering spikes in C

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