Dr. Georgios Bardis serves as a Lecturer of Applied Sciences at the Department of Digital Systems, School of Economics and Technology, University of the Peloponnese. He holds a B.Sc. in Computer Engineering and Informatics from the University of Patras (2002), an M.Sc. degree from the National Technical University of Athens (2005), and a Ph.D. from the National Technical University of Athens (2009). His doctoral dissertation focused on the modeling, analysis, and optimization of business processes using BPMN, as well as on Guided Optimization in Urban Transportation.

Dr. Bardis successfully applies his academic expertise to projects of high business value, demonstrating strong applied activity:

• Participation in a large number of research and development (R&D) projects at national and European levels.
• Design and development of innovative information systems in the field of urban transportation and tourism transport management and excursions, aiming at the comprehensive support of business processes in the tourism sector.
• International Business Impact: These systems have received global distinctions and demonstrate an extensive operational presence in five (5) countries), documenting their functional maturity and international reach.
• Designed and developed the National Population–Housing Census 2021 project at a nationwide level, in collaboration with ELSTAT (Hellenic Statistical Authority).

His research and scientific work includes a significant number of publications in international journals, peer-reviewed conference proceedings, and edited volumes, with more than 20 scientific publications. He is the author of the book “Studies – Applications and Implementation of Computer Networks” and holds the professional certifications CCNA and CCNP.

Most of his research activity focuses on the modeling, analysis, and evaluation of business processes using the BPMN (Business Process Model and Notation) methodology. The main objective of his research is the systematic documentation and optimization of business workflows, through the use of Key Performance Indicators (KPIs) related to time, quality, and quantity.

Through the analysis of these indicators, the aim is to identify malfunctions, delays, and bottlenecks in business processes, as well as to develop well-documented and targeted improvement proposals.

These proposals are built upon four main pillars:

• the optimal utilization of human resources,

• the design and implementation of education and training programs,

• the adoption of modern management and organizational methodologies,

• the strategic integration of new technologies into business operations.

At the same time, his research interests extend to the field of Fintech, with a focus on the application of digital technologies in the financial sector, as well as to Guided Optimization in Urban Transport, through the use of BPMN for the systematic improvement of processes in the transportation sector.

His research approach combines quantitative and qualitative analysis methods, aiming at the improvement of efficiency, flexibility, and competitiveness of organizations.