Christos is Professor in Knowledge Discovery and Software Engineering systems at the International Hellenic University, School of Science & Technology. He was Chair of the Department of Science and Technology and Dean of the School of Science and Technology, International Hellenic University (2021-23) and Vice Dean (2020-21). He is Director for the MSc in Smart Cities and Communities. Formerly he was an adjunct Associate Professor at the University of Ioannina, Dept. of Computer Science & Engineering, an adjunct Assistant Professor at the University of Western Macedonia, Dept. Engineering Informatics and Telecommunications, a tenured Lecturer at the University of Manchester, Schools of Computer Science and Informatics, as well as UMIST, Department of Computation

Studies

He holds a DEng (Hons) in Computer Engineering and Informatics (5-year studies-integrated Master) from the Department of Computer Engineering & Informatics at the University of Patras, and a BSc (Hons) in Law (4-year studies) from the Department of Law at the Democritus University of Thrace, in Greece. He also holds an MPhil in Computation from UMIST and a PhD in Informatics from the University of Manchester, U.K.

Research

His focal research area is data science, data mining, decision support, software engineering and smart cities, and his aim is to advance the use of data mining in domains such as medicine, sports, social media, energy and novel types of heterogeneous data. His research interests are in the areas of data mining and analytics, and software management, where he has published widely. His research objectives include bridging the gap between theories and applications of data mining, as well as establishing novel ways of retrieving information from data, text, social media and source code.

Publications

He published over 65 papers in international refereed journals and over 70 international refereed conferences, focusing on data mining algorithms, such as clustering, classification and association rules, and data mining applications in domains, such as software engineering, medicine, biology, sports analytics, social media, energy and smart cities. His work has been published in journals including IEEE Transactions on Knowledge and Data Engineering, Int’l Journal of Neural Systems, WIREs Data Mining and Knowledge Discovery, Integrated Computer-Aided Engineering, Smart Cities, Multimedia Tools and Applications, Information Systems, Methods of Information in Medicine, Advances in Data Analysis and Classification, Software Quality Journal, Information Systems Frontiers, Energies, Sustainable Computing: Informatics and Systems, Computing, Data & Knowledge Engineering, Int’l Journal of Data Mining and Bioinformatics, Applied Artificial Intelligence, and international referred conferences such as PVLDB, IEEE ICTAI, IEEE COMPSAC, IEEE WETICE, IEEE SMC, KSEM, IEEE ITAB, IEEE APSEC, IEEE IWPC, CSMR and IDEAL A list of publications can be found here.

Dr. Aristeidis Mystakidis is a Postdoctoral Researcher in Data Science and Artificial Intelligence at the International Hellenic University (IHU) and a member of the Data Mining and Analytics (DaMA) research group. He also serves as a Postdoctoral AI Research Associate and Data Science Team Leader at the Information Technologies Institute (ITI) of the Centre for Research and Technology Hellas (CERTH). His research focuses on machine learning and data-driven artificial intelligence, with particular emphasis on time series forecasting, energy systems, computer vision, cybersecurity analytics, and AI applications in smart cities and healthcare.

He holds a PhD in Data Science from IHU, along with degrees in Electrical and Computer Engineering, Business Administration, and Mobile and Web Computing. With over eight years of experience across academia and industry, he has contributed to European research projects and industrial collaborations, including partnerships with Samsung Electronics. He has authored more than 25 peer-reviewed publications and actively contributes to teaching, research supervision, and international scientific reviewing activities.

Dr. George Papageorgiou holds a PhD in Data Science from the International Hellenic University (IHU), School of Science and Technology, focusing on improved data science methods for real-world business applications. He also holds an MSc in Data Science from IHU and a BSc in Accounting and Finance from the University of Macedonia. His research interests include data science, artificial intelligence, machine learning, and algorithmic optimization for business and decision-support applications.

His work combines advanced predictive analytics, optimization techniques, and applied machine learning with practical experience in AI applications and big data analytics, aiming to bridge academic research with real-world business challenges.

Dr. Vangelis Sarlis is a Postdoctoral Researcher in Data Science at the International Hellenic University (IHU) specializing in sports analytics and data-driven business applications. He is an experienced Project and Product Management leader and Data Scientist with more than 15 years of professional experience across IT, business innovation, and research environments. His work focuses on applying data science, artificial intelligence, and advanced analytics to support digital transformation, decision-making, and organizational strategy across multiple industries.

He holds a PhD in Data Science for Sports Analytics from IHU, an MBA from ALBA Graduate Business School, an MSc in Computing & IT from the University of Sunderland, and a BSc in Physics from Aristotle University of Thessaloniki. Throughout his career, he has led large-scale projects and collaborations with organizations including the European Commission, major telecom providers, consulting firms, and public sector institutions, bridging business and technology through data-driven innovation and interdisciplinary leadership.

Vaia Apostolou is a Senior Manager and Technical Product Owner in Data Science and Artificial Intelligence at Pfizer’s Artificial Intelligence and Data Analytics (AIDA) department. Her work focuses on the design and delivery of enterprise-scale AI and Generative AI solutions, combining product strategy, technical architecture, and Responsible AI practices to develop governed, scalable, and compliant data-driven systems. Her expertise spans AI product development, machine learning operations, cloud-based data platforms, and trustworthy AI deployment across commercial and clinical domains.She is currently pursuing a PhD in Artificial Intelligence in Medicine at the International Hellenic University (IHU). She also holds an MSc in Banking and Finance from IHU and a BSc in Business Administration from the University of Macedonia. Her research interests include AI applications in healthcare, particularly cancer detection and diagnosis through multimodal data analysis, with emphasis on reliable evaluation, ethical AI, and real-world clinical impact.

Spyridon Konstantopoulos holds a Physics degree (National Kapodistrian University of Athens), a Master’s degree in Automation Systems (National Technical University of Athens) and a PhD title in Industrial Systems Monitoring and Control (Montanuniversitaet Leoben, Austria) with Post-Doctoral experience in the same field. In parallel to academia and since 2013 he is continuously working as a systems expert in the aerospace and pharma industries. He is currently exploring new scientific directions through his PhD candidacy in Data Science. His focus is the exploitation of Machine Learning for medical diagnosis/ prognosis and the interpretability of relevant results.

Maria Vasileiou is a Software Engineer and PhD candidate in Data Science in Software Engineering at the International Hellenic University (IHU). She holds an MSc in Data Science from IHU and a Diploma in Electrical and Computer Engineering from the Democritus University of Thrace. Her research focuses on data-driven methods for software engineering, particularly the application of machine learning techniques to software quality assessment and defect detection.Alongside her academic work, she is a Software Engineer at Netcompany, where she develops scalable full-stack applications using modern web technologies within agile development environments. Her research has been published in international scientific venues, including IEEE and Springer, and reflects her broader interests in data science, software management, and intelligent systems for improving software development processes.

Dimitris Rousidis is an IT Instructor and PhD candidate at the International Hellenic University (IHU), where his research focuses on social media analytics and the improvement of forecasting algorithms. He holds degrees in Physics from Aristotle University of Thessaloniki, Library Science and Information Systems from IHU, and a Master’s degree in Computation from UMIST, UK.He has extensive teaching experience across higher education institutions and lifelong learning programmes, covering topics such as databases, web development, digital systems, and information technologies. With more than a decade of experience in vocational and adult education, he actively contributes to technology training and digital skills development, while maintaining strong research interests in data analytics and applied forecasting methods.

Athanasios Batzelios is a Software Engineer and Data Science Engineer currently pursuing an MSc in Data Science at the International Hellenic University (IHU). He holds a BSc in Computer Science from the University of Crete, where his thesis focused on dynamic load-balancing mechanisms for persistent key-value stores. His interests include software engineering, data science, and the application of machine learning and artificial intelligence to real-world problems, with experience in predictive modeling, defect detection, and data mining. Professionally, he works as a Technology Consultant at EY, delivering IT consulting and software architecture solutions for large-scale clients, and has previously held roles at Intracom Telecom and the CARV Lab of the Foundation for Research and Technology – Hellas (FORTH).

George is an E-Commerce professional with extensive experience in digital strategy and analytics within the hospitality industry. He currently serves as E-Commerce Manager at Sani/Ikos Group, having previously held roles at leading hotel brands including Mar-Bella Collection and Sani Resort. He holds an MSc in E-Business and Digital Marketing and is currently pursuing a second MSc in Data Science at the International Hellenic University (IHU), building on a Bachelor’s degree in Business Administration and Management from the University of Macedonia. His interests focus on data-driven decision making, digital analytics, and the application of data science methods in hospitality and online business environments.

Christos is an MSc candidate in Data Science at the International Hellenic University (IHU) and holds a BSc in Mathematics from the Aristotle University of Thessaloniki. His interests focus on sports analytics, statistical modeling, and machine learning applications for performance forecasting, alongside experience in natural language processing, recommender systems, time series analysis, and large-scale data systems. With eight years of teaching experience in mathematics, he has transitioned into industry and currently works as a Production Manager in an IT and telecommunications equipment company, combining analytical expertise with practical operational management.

Anastasia Krapi is a Data Engineer at CHUBB, where she works on migrating and optimizing ELT data pipelines across legacy and modern cloud-based data platforms, supporting business analytics and actuarial data needs. She previously worked in the banking sector, designing end-to-end data workflows and KPI monitoring systems while contributing to projects in anti-money laundering and real estate analytics. She is currently pursuing an MSc in Data Science at the International Hellenic University (IHU) and holds a BSc in Computer Science and Biomedical Informatics from the University of Thessaly. Her interests include machine learning applications in healthcare and data-driven decision support, combining strong expertise in data engineering, analytics, and modern data platforms.

Nikolaos Mavriopoulos is an MSc candidate in Data Science at the International Hellenic University (IHU) and holds a BSc in Mathematics from the Aristotle University of Thessaloniki. With a strong mathematical background, his interests focus on predictive modeling, machine learning, and applied data analytics, with project experience in software defect detection, medical image analysis, statistical modeling, SQL-based analytics, and large language model applications. Alongside his academic work, he brings 13 years of professional experience in mathematics education and currently works as a Mathematics Teacher at Mpakogianni Private School, combining analytical thinking with practical problem-solving in both research and educational environments.

Theodore Stamoulos is a Biomedical Engineer, ICT Administrator, and MSc candidate in Data Science at the International Hellenic University (IHU). His interests focus on the application of artificial intelligence and machine learning in healthcare and business analytics, with current research exploring AI-driven approaches for diabetes management using continuous glucose monitoring (CGM) data. He holds an MSc in Biomedical Engineering from the University of Surrey, an MBA from the University of Hertfordshire, and a BSc from the Technological Educational Institute of Piraeus, along with a Data Analyst certification from the National and Kapodistrian University of Athens. Professionally, he works at Menarini Diagnostics Greece as an ICT Administrator, SAP Local Project Manager, and Business Analyst, and has previous experience in biomedical research and academic laboratory instruction.