Professor Paul Stynes, dean of the School of Computing at National College of Ireland, has been awarded a principal fellowship of the Higher Education Academy (HEA) (2024) at Advance Higher Education.
Prof Stynes has been a dedicated member of the Health Research Consent Declaration Committee (HRCDC) since he was appointed by the health minister in January 2024.
Principal fellowship means being highly experienced, being a strategic leader, and having an effective impact. It is a great achievement that recognises one's commitment and contribution to student learning.
Achieving principal fellowship is a testament to Prof Stynes’ dedication to advancing educational practices and fostering an environment where both students and colleagues can thrive. “I am very grateful to Advance HEA for this prestigious award," he said.
'Paving the way for computing students'
"When I think about the word ‘fellowship,’ I envision us all travelling a road together. I am proud to have contributed to paving the way for computing students who are just beginning their journey.
"Fellowship also means good company – none of us travel this road alone. I extend my heartfelt thanks to my mentors, colleagues, and the National College of Ireland for their unwavering support, which has enabled me to develop my vision and practice leadership in education. This recognition inspires me to continue pushing the boundaries of teaching and learning, ensuring that we not only impart knowledge, but also empower the next generation of leaders and thinkers."
Prof Stynes holds a PhD in artificial intelligence from Trinity College Dublin, and a master's in engineering from the University of Limerick. He is the principal investigator for the STEM Family Learning Programme, which is funded by Science Foundation Ireland.
Prof Stynes’ research in the medical domain correlates with the use of machine learning to determine the age of the brain by looking at MRI images. He has an impressive publications portfolio, with more than 43 scientific publications in artificial intelligence; machine learning; and educational management.