School of Computer Science and Statistics
Appointments are only available by E-mail and in advance. Usually Mondays 12-1pm
CS3D3 - Computer Networks (S2 2018/19)
CS7NS1 - Scalable Computing (S1 2018/19)
CS3D3 - Computer Networks (S2 2017/18)CS3013 - Software Engineering Group Project (S2 2017/18)
Carers Leave (2016/17)
EE2E10 - Engineering Science IV (S2 2015/16)
I was Course Director for our one year, full-time M.Sc. in Computer Science (Mobile and Ubiquitous Computing) through to 2016. Details on the course were available here.
In June 2017 I was recognised as one of "Ireland’s Champions of EU Research" for exhibiting outstanding leadership through the MSCA ICONN project funded under Horizon 2020 programme.
I am primarily concerned with future concepts for the collection and understanding through to delivery of data in ultra low-power, deeply embedded constrained systems, in emerging and challenging communications scenarios, and in practical, physical deployments of these solutions. This embraces all aspects of these systems - hardware, software and applications, and targets innovative, practical, reliable solutions. We are presently active in the renewables domain, with activity in both wind and wave energy projects, and in the (so-called) Smart Systems space e.g. Smart Cities, Smart Vehicles, Smart Health, etc.
I am also active in the security space - with a particular focus on future security concepts, paradigms and approaches that scale in an Internet of Things context.
The fields of computer science and engineering education seek to bridge the gap between the academic in the classroom and the more formal field of educational research. My early contributions in this field took the form of research-led innovations in teaching practice that emanated from of my research in wireless networking. Thereafter, I moved from the positivist paradigm that forms the bedrock of quantitative scientific research, to a more constructivist view of world where each individual’s experiences, and their interpretation of these experiences, are what give meaning to phenomena. Our recent work aims to formulate theories or hypotheses based on field data. While these approaches can seem very different, they often reinforce each other in education, where quantitative and qualitative data are readily available.They also provide compelling evidence of the tight integration and synthesis of my ongoing research within my teaching and academic practice.