Mario Soflano

Prof. Mario Soflano is a lecturer in Applied Computer Games department at The School of Computing, Engineering and Built Environment at GCU. Prior to the current position, he was a lecturer in Computer Games programmes at University of the West of Scotland. Additionally, he was involved in a number of collaborative projects in Serious Games for professional trainings and in adaptive systems to improve operational process for SME clients. He was also involved in projects for public sectors such as Glasgow City Council, Scottish Social Service Council and NHS. His research interests include 1) Serious Games to teach hard skills in various subject areas, such as STEM, Software Engineering, Languages and Health, and also to enhance soft skills such as motivations, leadership and teamwork / collaboration, 2) Data analysis and Visualisation for Serious Games, eLearning, eCommerce and Software Engineering, 3) Immersive technology and 4) Clinical Decision Support particularly in the use of Machine Learning.

Publications

Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems
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
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
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 of Facial Recognition in Clinical Decision Support
Development of Facial Recognition in Clinical Decision Support
Hardianto Wibowo, Mario Soflano, Wildan Suharso. © 2023. 23 pages.
This chapter discusses the current state of the art of facial recognition technology for clinical decision support through a systematic literature review that identifies the...
Development and Evaluation of Two 3D-Simulated Practice Learning Environments
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...