Petros Papadopoulos

Prof. Petros Papadopoulos is an enthusiastic and highly motivated researcher in the field of self-organising large distributed autonomous systems. He is passionate in innovation, usually through the mixture of existing and new technologies and/or methodologies, agile and aligned to business and user requirements. In 2007, Prof. Papadopoulos received a full scholarship to complete a PhD in the field of self-organising systems. In the last few years, he has had the opportunity to work hard in a diverse range of cross-disciplinary projects that helped him further develop a wide range of skills to achieve his career goals and aspirations.


Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems
Thomas M. Connolly, Petros Papadopoulos, Mario Soflano. © 2023. 380 pages.
The medical domain is home to many critical challenges that stand to be overcome with the use of data-driven clinical decision support systems (CDSS), and there is a growing set...
Introduction to XAI and Clinical Decision Support
Thomas M. Connolly, Mario Soflano, Petros Papadopoulos. © 2023. 29 pages.
Artificial intelligence (AI) and machine learning (ML) offer significant opportunities in healthcare for innovation with its ability to solve cognitive problems normally...
Systematic Literature Review: XAI and Clinical Decision Support
Thomas M. Connolly, Mario Soflano, Petros Papadopoulos. © 2023. 28 pages.
Machine learning (ML) applications hold significant promise for innovation within healthcare; however, their full potential has not yet been realised, with limited reports of...
Development and Evaluation of Two 3D-Simulated Practice Learning Environments
Stephen Farrier, Thomas M. Connolly, Nikolina Tsvetkova, Mario Soflano, Petros Papadopoulos. © 2022. 26 pages.
This paper discusses the evaluation of two 3D simulated practice learning environments, Tiny Oaks and Play2Do, focused on supporting people working with children, families, and...