Konstantinos Vergidis is a Professor at the Department of Applied Informatics, School of Information Sciences, University of Macedonia. With a PhD in Business Process Optimisation from Cranfield University (2008), he has established himself as a leading expert in business process management, enterprise architecture, and process modeling. His academic career spans over a decade at the University of Macedonia, where he has held various administrative roles including Director of the Doctoral Studies Coordination Committee and member of the University's Research Committee. PhD in Business Process Optimisation (2008), Cranfield University MSc in IT for Product Realisation (2005), Cranfield University Degree in Applied Informatics (2003), University of Macedonia Professor Vergidis' research focuses on Business Process Intelligence (BPI), with particular expertise in BPMN modeling, process optimization, and decision modeling with DMN. His work bridges theoretical frameworks with practical applications in both public and private sectors, examining process quality metrics, resilience, and the integration of emerging technologies like low-code platforms and AI. He has pioneered research on process modeling in the public sector and the impact of Large Language Models on BPMN-based process modeling. His publication record includes 21 scientific journal articles, 22 conference papers, and 8 books, demonstrating consistent scholarly output across multiple venues. Recent work shows a clear trajectory toward integrating AI technologies with traditional business process management, particularly examining how LLMs can transform process modeling practices and exploring low-code development platforms for process-driven application development. Teaching Excellence Award (2022-2023) Research Award 2022 (14th cycle) Research Award 2021 (13th cycle) Teaching Excellence Award (2020-2021) Thatcher Bros Prize (2008/09) Professor Vergidis has secured multiple research grants, including projects with Expertise France/European Commission on digital public services and with the National Research Foundation on process modeling for public administration. He leads the Business Process Intelligence research group and has coordinated significant projects including MODA (Multi-Omics Data Analysis) and Science Data and Analytics Platform. His administrative contributions include directing doctoral studies and serving on numerous university committees related to research, curriculum development, and digital transformation initiatives. His work with the National Process Registry (mitos.gov.gr) demonstrates his commitment to applying academic research to real-world public sector challenges, developing tools and methodologies that enhance process transparency and service delivery for Greek citizens.
