Martin is Pro Vice-Chancellor for Student Affairs and Head of the College of Science and Technology. In this role, he contributes as a member of the senior management team of the University (University Executive Team) and works closely with UET colleagues to progress the University’s strategic mission.
As PVC Student Affairs, he is responsible for the strategic management and leadership of the Student Support Services portfolio, encompassing student advice services, disability services, wellbeing and mental health services and the Student Service Centres across NTU campuses.
In his role as Head of the College of Science and Technology, he provides strategic leadership and support to the Deans of the Schools of Science and Technology and Animal, Rural and Environmental Science and pursues the achievement of the College’s mission to contribute strongly to the University’s ambitious teaching and research agenda.
Martin joined NTU as Dean of the School of Science and Technology in March 2014. In August 2016, he became Pro Vice-Chancellor for Student Affairs and Head of the College of Science and Technology. Formerly, he was Director of the Intelligent Systems Research Centre, Acting Associate Dean of the Faculty of Computing and Engineering and Head of the School of Computing and Intelligent Systems at Ulster University. He was also a Director of the Ulster University’s technology transfer company, Innovation Ulster, and a spin out company Flex Language Services. He was awarded both a Senior Distinguished Research Fellowship and a Distinguished Learning Support Fellowship from Ulster University in recognition of his contribution to research and teaching and is a Fellow of the IET, SMIEEE and a Chartered Engineer.
Martin is an active researcher. His current research interests are focused on computational intelligence, and in particular on computational systems, which explore and model biological signal processing, specifically in relation to cognitive robotics and computational neuroscience. His work addresses the creation of computational models of neural processing of visual, auditory or tactile stimuli, and the creation of artificial intelligent systems to emulate such sensory processes, with implementations in both software and reprogrammable hardware. His work on cognitive robotics addresses the issues of autonomous learning and skill building in mobile robotics. He is the author or co-author of over 300 research papers, and has attracted approximately £25million to support his research, from a wide variety of funding sources. He also has a strong interest in innovations in teaching and learning, and has attracted substantial funding to support implementation of technology assisted learning in higher education.
Opportunities to carry out postgraduate research towards an MPhil/PhD exist and further information may be obtained from the NTU Doctoral School
Professor McGinnity is a current grantholder on a number of EU projects. He is a regular reviewer for national and international research funding organisations and contributes to the Advisory Boards of several international research centres and projects. He is a member of the International advisory board for the NSF funded DUKE WISeNet IGERT project Id; 1068871; Expert Evaluator for EU Framework Research Programmes, EPSRC, Science Foundation Ireland, Research Council of Norway, AXA Research Programme, German Centres of Excellence Awards.
International Collaborations , Martin has collaborated on research projects with colleagues from a wide range of countries and organisations, for example: Verilog (France), Etnoteam (Italy), Tasking Software (Netherlands), Joanneum Research (Austria), Sintef (Norway), IMMS (Germany), National University of Ireland (Maynooth), Philips Semiconductors (Germany), Philips Consumer Electronics (Netherlands), Aisling Microsystems (Ireland), IXL Laboratory (France), CNRS (France), University of Heidelberg (Germany), Trinity College (Ireland), University of Cambridge (UK), Cavendish Laboratory (UK), Max Planck Institute (Germany), University of Duisburg (Germany), Technical University Braunschweig (Germany), Tyndall Institute (NMRC) Cork (Ireland), UCD (Ireland), IIT Kanpur (India), IIT Rajasthan (India), Duke University (USA), Florida Atlantic University (USA).
Sponsors and collaborators
Professor McGinnity has previously participated in research projects with many national and overseas organisations, including:
- Verilog (France)
- Etnoteam (Italy)
- Tasking Software (Netherlands)
- Joanneum Research (Austria)
- Sintef (Norway)
- IMMS (Germany)
- National University of Ireland Maynooth
- Philips Semiconductors (Germany)
- Philips Consumer Electronics (Netherlands)
- Aisling Microsystems (Ireland)
- IXL Laboratory (France)
- CNRS (France)
- University of Heidelberg (Germany)
- Trinity College (Ireland)
- University of Cambridge (UK)
- Cavendish Laboratory (UK)
- Max Planck Institute (Germany)
- University of Duisburg (Germany)
- Technical University Braunschweig (Germany)
- Tyndall Institute (NMRC) Cork (Ireland)
- UCD (Ireland)
- IIT Kanpur (India)
- IIT Rajasthan (India)
- Duke University (USA)
- Florida Atlantic University (USA).
Quantum neural network-based EEG filtering for a brain–computer interface. Gandhi V, Prasad G, Coyle D, Behera L and McGinnity TM, IEEE Transactions on Neural Networks and Learning Systems, 2014, 25 (2), 278-288
Neural circuit interactions between the dorsal raphe nucleus and the lateral hypothalamus: An experimental and computational Study. Jalewa J, Joshi A, McGinnity TM, Prasad G, Wong-Lin K and Holscher C, PLoS ONE, 2014, 9 (2), e88003.
Statistical methods for fMRI activation and effective connectivity studies. Li X, Coyle D, Maguire LP and McGinnity TM in: Springer Handbook of Bio-/Neuroinformatics, Springer, Berlin Heidlberg, 2014, 647-672, ISBN 978-3-642-30573-3
A context-based word indexing model for document summarization. Goyal P, Behera L and McGinnity TM, IEEE Transactions on Knowledge and Data Engineering, 2013, 25 (8), 1693-1705
A novel neighborhood based document smoothing model for information retrieval. Goyal P, Behera L and McGinnity TM, Information Retrieval, 2013, 16 (3), 391-425
Linguistic decision making for robot route learning. He H, McGinnity TM, Coleman SA and Gardiner B, IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2014, DOI: 10.1109/TNNLS.2013.2258037
A least trimmed square regression method for second level fMRI effective connectivity analysis. Li X, Coyle D, Maguire LP and McGinnity TM, Neuroinformatics, 2013, 11 (1), 105-118
Image-based visual servoing of a 7-DOF robot manipulator using an adaptive distributed fuzzy PD controller. Siradjuddin, I, Behera L, McGinnity TM and Coleman SA, IEEE/ASME Transactions on Mechatronics, IEEE, 2013, DOI: 10.1109/TMECH.2013.2245337See all of Martin McGinnity's publications...