Dr. Luca Longo is currently lecturer at Dublin Institute of Technology, where he is a member of the Applied Intelligence Research Center, and MSc theses coordinator in the School of Computing.
His core research interest is in Cognitive Load modelling using deductive inference techniques (Defeasible Reasoning, Argumentation Theory, Recommender/Expert systems) as well as knowledge discovery and inductive predictive modelling techniques (Supervised/Unsupervised Machine Learning). Domains of application of Cognitive Load models include human-computer/web interaction (HCI), health-care (HC), education (EDU) and Universal Design (UD). In particular, computational models of mental workload can be used for designing, personalising and adapting technologies and multi-modal interactions, better aligned to the human mental limited capacities and in turn enhancing user engagement, satisfaction and learning.
Luca owns a BSc (honors) and a MSc (distinction) in Computer Science (Italy), a PgDIP in statistics, a MSc (distinction) in Health Informatics and a PhD in Artificial Intelligence awarded at Trinity College Dublin. He also owns a post-graduate diploma in Learning and Teaching at Dublin Institute of Technology. He is author of 30+ academic articles appeared in conference proceedings, book chapters, and journals in various theoretical and applied computer science fields.