Dr Luca Longo

  PhD (AI),
  MSc (CS), MSc (HI), MSc (EDU),
  PgDip (STAT), PgDip (T&L),
  BSc (CS)

I am very passionate for technology and research as well as enthusiastic to contribute at the intersection of the fields of Artificial Intelligence, Neural Engineering, Human performance and Human Computer Interaction. My vision is to formalise the ill-defined construct of human mental workload as a computational concept, for the real-time prediction of human performance.



I am a scholar 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. My vision 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/Deep Learning) applied in Electroenchepahlography. To reach such a goal, I perform research on neural engineering, especially in real-time EEG denoising and the inverse problem in neuroscience. Similarly, I conduct ground-breaking research work on neurosymbolic integration , coupled with ideas coming from Explainable Artificial Intelligence (XAI), for learning interpretable latent representations from spatio-temporal electroenchepahlographic data that are recurrent across subjects. . Field of applications of the outputs of such research endeavour includes Human-Computer Interaction, Education, NeuroScience and Universal Design.

Alongside my academic path, for the last 25 years I have been designing and developing software solutions at various levels adopting different programming languages, technologies and methodologies. Back to the nineties, my early passion for code got increasingly more vigorous and fine-grained with several experiences as software developer in international software houses. In the last decade, I have covered the position of software architect and technology leader in start-ups.

I am actively engaged in the dissemination of scientific material, as the TEDx talks below demonstrate as well as helping the United Nations to achieve the Sustainable Development Goals collaborating with their UNITAR unit. I have received various awards both for my reserch work and for my teaching and pedagogical practices. In 2016 and 2021 I was awarded the "National Teaching Hero Award" from the national forum of teaching and learning in Ireland. I also won the "AI person of the year" in the Republic of Ireland in 2023. I have released interviews and appeared in local newspapers [Il Giornale di Vicenza , VareseNews , La provincia di Varese], national newspapers [Corriere della sera (Italy), Il giorno (Italy), The University Times, LaVanguardia (Spain)], international newspapers [Huffington Post, LaVanguardia ], TVs [RTE, TV 2000, Ren.tv], news programmes [Lombardia speciale], radios and podcasts [Caterpillar - Radio 1 RAI, AI in Action ], online newspaper [Silicon Republic, Italiani Ovunque, Irlanda online, BCC-lavoce], universities [Russia, Italy, Ireland] and invited keynotes [A!one Moscow , Predict 2018, Europe’s Leading Data Conference, DataScience MeetUp, GeoDirectory (Ireland), Predict 2018, Educatíon y tecnología (Spain), World congress on qualitative research (Portugal), Brain Informatics (Italy), ]. 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.