Technical University of Crete

Data Science Laboratory

Advancing research and innovation in Data Science, Business Analytics, Artificial Intelligence, Machine Learning, Forecasting, and Intelligent Decision Support.

Identity

Turning Data into Knowledge

The Data Science Laboratory is an academic research unit of the School of Production Engineering and Management at the Technical University of Crete.

Building on a long-established background in data analysis and forecasting, the laboratory has evolved into a contemporary research environment focused on Data Science, Business Analytics, Artificial Intelligence, and intelligent decision support systems. Our mission is to transform data into actionable knowledge and support informed decision-making in academia, industry, and society.

Core Expertise

Research Fields

Business Analytics

Leveraging data for strategic business optimization and intelligent organizational insights.

Artificial Intelligence

Neural networks, autonomous systems, and advanced cognitive computational models.

Machine Learning

Advanced algorithmic research for pattern recognition, deep learning, and automation.

Forecasting

Time-series analysis and predictive modeling to anticipate trends across complex industries.

Big Data Analytics

Managing and extracting high-value intelligence from large-scale, high-velocity data.

Multicriteria Decision Support

Intelligent tools designed to transform complex variables into actionable decision pathways.

Implementation

Applied Research & Industry Impact

Turning data into knowledge and real-world impact

The Data Science Laboratory bridges academic excellence with practical implementation, delivering advanced analytical solutions for organizations, institutions, and industry partners. Our applied research focuses on the development of robust methodologies, predictive models, intelligent decision-support systems, and data-driven tools that address complex challenges across banking, finance, aviation, tourism, sustainability, operations, and public policy.

Featured Areas of Applied Impact

Artificial Intelligence risk management methodologies for banking and financial institutions

Forecasting models for business and operational planning

Aviation and airport sustainability analytics

Tourism intelligence and destination performance monitoring

Data-driven sustainability assessment tools

Intelligent systems for organizational and policy decision support

Key Channels, Initiatives & Collaborations

Data-driven aviation and industry analysis through Aviationlife.gr

Research and industry projects developed in cooperation with the Crete Aviation Observatory (CAO)

Applied research and tourism-related studies in collaboration with the Crete Tourism Observatory of CIHEAM MAICh

Media contributions and analytical publications across digital platforms

Participation in applied projects and external collaborations

Research Approach

The laboratory adopts a multidisciplinary approach, combining Data Science, Business Analytics, AI/ML, and econometric analysis with selected qualitative and field-based research approaches, including ethnographic inquiry when relevant. Our projects are actively led by a dynamic team, ensuring both scientific rigor and practical relevance.

AI in Management
NEW RELEASE
Knowledge Output

Artificial Intelligence and Applications in Management

(Original Title in Greek: Τεχνητή Νοημοσύνη και Εφαρμογές στο Μάνατζμεντ)

A comprehensive edition examining the strategic integration of Artificial Intelligence in modern management processes and decision-making.

Authors

Professor Constantin Zopounidis, Academician

Dimitris Zopounidis, PhD Candidate

Angelos Kostis, Assistant Professor

Details

Publisher: Barbounakis

Language: Greek

ISBN: 978-960-267-599-1

Order via Barbounakis.com
Industry Collaboration

Alpha Bank – Artificial Intelligence Risk Management Project

A strategic collaboration focused on developing Artificial Intelligence risk management methodologies in alignment with the EU AI Act. The project includes risk assessment frameworks, governance mechanisms, and intelligent decision-support tools for financial institutions.

Lead Researcher: Dimitris Zopounidis

The Team

People

Director

Professor Constantin Zopounidis

Academician

Faculty Members

Professor Michalis Doumpos, Dean

Associate Professor Georgios Atsalakis

Assistant Professor Angelos Kostis

Laboratory Teaching Staff

Angeliki Liadaki

PhD Candidate

Dimitris Zopounidis

Postdoctoral Researchers

Dr. Ioanna Atsalaki

Dr. Haris Papadakis

Dr. Georgios Fakotakis