Dr Luca Longo


I am very passionate for technology and research as well as enthusiastic to contribute to the fields of Artificial Intelligence and Human Computer Interaction. My vision is to formalise the ill-defined construct of human Mental Workload as a computational concept.

I am a early stage scientist deeply devoted and highly passionate for science. I strive for excellence and contribution to knowledge. I am a curious person, hungry of knowledge, as my never-ending education demonstrates. Since I started my undergraduate studies, my interests have always turned around Artificial Intelligence and innovative applications, especially applied to formal reasoning and the World Wide Web. I have completed a BSc with honours and a MSc awarded distinction both in Computer Science at the University of Insubria (Varese, Italy). I have obtained also a Postgraduate Diploma in statistics and a MSc in Health Informatics awarded distinction at Trinity College Dublin (Ireland). I successfully defended my PhD thesis in Artificial Intelligence at Trinity college Dublin. Additionally, I have recently obtained a Postgraduate diploma in Learning and Teaching at Dublin Institute of Technology, where I currently am tenured lecturer, covering both MSc and PhD courses with supervisory roles.

My vision, with my research team, is to formalise the ill-defined construct of human Mental Workload as a computational concept through deductive knowledge representation and reasoning techniques (Defeasible reasoning, Argumentation Theory) and inductive modelling techniques (Machine Learning). Field of applications includes Human-Computer Interaction, Education, NeuroScience, Universal Design.

Alongside my academic path, for the last 20 years I have been designing and developing software solutions at various levels adopting different programming languages, technologies and methodologies. In the last decade, I have covered the position of software architect and technology leader in a couple of start-ups.

I am actively engaged in dissemination of scientific material, as the TEDx talks below demonstrate. I have received various awards both for my reserch work and for my teaching. In 2016 I was awarded a "national teaching hero award" from the national forum of teaching and learning in Ireland. I have released interviews to local newspapers [Il Giornale di Vicenza , VareseNews , La provincia di Varese], national newspapers [Corriere della sera, Il giorno], international newspapers [Huffington Post] , TVs [RTE , TV 2000], news programmes [Lombardia speciale], radios [Radio 1], online newspaper [Silicon Republic, Italiani Ovunque, Irlanda online, BCC-lavoce], and universities [Russia, Innopolis, Italy, Ireland]. Having gained invaluable education, work experience and international recognition I am now strongly motivated to revolutionise the science of mental workload, pave a new research path with a significant impact for the future societies and become a world leader in this field.

  • Mental Workload Modeling, Explainable Artificial Intelligence, Machine Learning, Automated Reasoning, Defeasible Reasoning, Human-Computer Interaction

TEDx (DIT): https://goo.gl/GfWM5E
TEDx (Vicenza): https://goo.gl/fdGBBr

National Teaching Hero, 2016