Martin Hayes is a Professor of Digital Technologies and in addition to his REEDI commitments is University of Limerick Academic lead on the [email protected] Human Capital Initiative (HCI-Pillar3) programme. Martin has lectured at the University of Limerick since 1997. He is a Funded Investigator(FI) with Confirm, the SFI Smart Manufacturing Research Centre and is a director of the Intelligent Power Management and Control group within the Centre for Robotics and Intelligent systems, CRIS (www.cris.ul.ie). Prior to this he served as director of the power management group within the Circuits and Systems Research Centre, CSRC, a platform research centre for the Power Electronics Ireland(PEI) and also the Advanced Manufacturing Technology (AMT) programmes in Advanced Technology.
Martin holds a BE in Electronic Engineering anda ME in Computer Systems from the University of Limerick and his PhD is in Machine Learning for Automatic Control from Dublin City University. His research interests lie in the area of Systems Theory in general and in particular on the intelligent use of machine learning for the optimisation of system resources within Smart Manufacturing use cases where operator safety must be guaranteed in the midst of channel, sensor or operator performance uncertainties. He is a member(and previous chair) of the Signals and Systems subcommittee of the Royal Irish Academy.
Martin’s Research has been sponsored by Science Foundation Ireland, Enterprise Ireland, Microsoft, IRCSET(The Irish Research Council for Science and Technology) and Failte Ireland. As a spoke investigator with Confirm he has succeeded in attracting significant cash support from a variety of companies including Johnson&Johnson(as a Confirm Open Call FI), Accucode AI, IQTech and Mobanode.
Martin has served as an External Programme and Accreditation Examiner for UCC, UCD, DCU, TUD, MTU, WIT, LIT and GMIT. Furthermore, he has also acted as an accreditation Rapporteur for Engineers Ireland.