Professor Tomas Ward, BE, MEngSc, PhD, SMIEEE
AIB Chair in Data Analytics
Room 2.40, McNulty Building,
See my professional profile and career history on Linkedin.
My present research concerns the application of machine learning to improve human health, performance and decision making. I am interested in personal analytics approaches,i.e. the collection of data that helps characterise the state of an individual. This has many applications in health and performance and in many cases requires research with emerging sensing technologies often wearable as well as distributed computing paradigms. In the realm of health this work leads to the concept of digital biomarkers or more generalised, the synthesis through digital means of virtual biomarkers for disease and conditions of a neurological nature.
The Insight Centre for Data Analytics
Via Google Scholar Profile not completely comprehensive but good enough.
Declan Delaney, PhD - Graduated 2005
Shirley Coyle, PhD - Graduated 2005
Michael Maguire, MEngSc (Research) - Graduated 2005
Karl Monaghan, MEngSc (Research) - Graduated 2006
Mark McLaughlin, MEngSc (Research) - Graduated 2006
Aaron McCoy, PhD - Graduated 2007
Kenneth Humphries, PhD - Graduated 2007
John Foody, MCompSc (Research) - Graduated 2007
Alan Kenny, PhD - Graduated 2009
Rudi Villing, PhD - Graduated 2010
Christopher Soraghan, PhD - Graduated 2010
Damian Wynne, MEngSc - Graduated 2010
Fiachra Matthews, PhD - Graduated 2010
Xin Zhang, PhD - Graduated 2011
Paddy Walsh, MEngSc - Graduated 2012
Kevin Sweeney, PhD - Graduated 2013
Gerard Derosiere, PhD (joint with Prof Perrey, University of Montpellier I) - Graduated 2014
Long Cheng, PhD - Graduated 2014
Darren Leamy, PhD - Graduated 2015
Aodhan Coffey, PhD - Graduated 2016
Zhengwei Wang, PhD - Graduated 2019
I currently teach CA684 "Machine Learning " as part of our masters degree program and CA4015 "Advanced Machine Learning " a final year undergraduate module for our BSc in Data Science students.
I am also coordinating and managing the final year capstone project for our BSc Data Science progamme. Current students on this programme should contact me for access to our slack channel. More static information is available here.
I am a keen advocate of maker culture and co-founded and organise the national showcase of the maker movement in Ireland - Dublin Maker
For undergraduate students I am happy to supervise projects from a range of areas. Examples include:
For practicum projects, if you are interested in a challenge particularly in the application of artifical intelligence to the challenges of tracking human health, performance and decision making in the real world,then come talk to me.
Here is a set of useful links primarily aimed at my research team. First of all, a good guide for how to write a high quality abstract can be found in this web page by Philip Koopman at CMU. Its my go-to advice. Second a great guide (and a shout out to Brendan Murphy in UCD who suggested this) is the following excellent resource for scientific writing by A Ehrnenburg published in the American Statistician here. Finally a general writing style guide is the following work by Strunk and White (The Elements of Style) Also a good guide for how best to characterise author contributions to a paper can be found here.