I received my BSc. in Computing from Dublin City University in 1997, and was awarded a PhD in Artificial Intelligence from Dublin City University in 2003. My PhD research focused on dialog interfaces for situated systems, such as robots, with a particular focus on the interactions between visual attention and language. A number of publications arose from this work, including articles in Artificial Intelligence (https://www.sciencedirect.com/science/article/pii/S0004370205000974) and Computational Linguistics (https://www.mitpressjournals.org/doi/pdfplus/10.1162/coli.06-78-prep14). Following my graduation I completed a number of Post-Doctoral research projects, first working at Media Lab Europe in Dublin and then in the Language Technology lab at the German Centre for Artificial Intelligence (DFKI) in Saarbruecken (https://www.dfki.de/lt/). I returned to Ireland in 2005 to join the School of Computer Science at the Dublin Institute of Technology. Since then I have thought courses in Artificial Intelligence and Machine Learning, and I have been an active researcher in these areas. In 2016 I was awarded the title of Professor by the Dublin Institute of Technology, in recognition of my contributions to research in the institution. In 2016 I was also appointed the Academic Leader of the Information, Communication, and Entertainment (ICE) research institute at DIT. Since 2015 I have been the lead of the ADAPT centre (https://www.adaptcentre.ie) at DIT. In 2018 the European Commission funded the Precise4Q project (https://precise4q.eu), this is a multi-million euro international project focused on improving the clinical treatment of stroke. I will be leading the Precise4Q work package on machine learning and modelling. Deliverables from this project include a number of data driven clinical decision support systems developed using deep learning and other machine learning algorithms and models.
Best Paper Award at the 9th International Conference on Quality of Multimedia Experience (QoMEX) 2017 for the paper 'A framework for post-stroke quality of life prediction using structured prediction' Andrew Hines and John D. Kelleher.