Inspiring people
Lauritz Thamsen
Dr Lauritz Thamsen is a Computer Systems researcher, who is passionate about making computing more resource-efficient and sustainable. He leads the Carbon-Conscious Computing lab, which develops new techniques and tools to reduce the footprint of data-intensive applications running on edge/cloud infrastructure. In addition, Lauritz is the School's advisor for Sustainability in the Curriculum and co-organises College-wide Disability Office Hours.
Mark McGill
Dr. Mark McGill is a Lecturer (Assistant Professor) in Human-Computer Interaction and Extended Reality, part of the Multimodal Interaction Group in GIST, having previously conducted his undergraduate, PhD, and PDRA posts all within UoG. His research leverages advances in spatial computing to support productivity, passengers (e.g. through ERC ViAjeRo), privacy and more. In particular, Mark leads the 5 year ERC/UKRI grant AUGSOC exploring the societal impact of everyday augmented reality – a world where spatial computing and mediated perception become the norm.
Maria Kallia
Dr Maria Kallia is a Lecturer in Computing Education. Her research is interdisciplinary in nature drawing from fields like Education, Sociology, Learning Sciences, Psycholinguistics, Psychology, and Philosophy. Maria's research has received several awards, and along with her PhD students, she aims to advance the understanding and practice of Computing while fostering inclusive and effective learning environments for all.
Gethin Norman
Dr Gethin Norman’s research focuses on the underpinning of quantitative formal methods, particularly for systems exhibiting real-time and probabilistic behaviour. He is a key contributor to the development of PRISM, the world-leading quantitative formal methods tool. He received the Best College Teacher award for the College of Science and Engineering in the 2023 SRC Student Teaching Awards.
Tim Storer
Dr Tim Storer is a Senior Lecturer (Associate Professor) in Software Engineering. Tim leads the School’s Software Engineering Laboratory and works extensively with the software industry, collaborating on many industry-funded research projects in finance, aeronautics, and systems engineering. He has also developed significant engagement between the Scottish computing research community and industry, including work with start-ups.
Marwa Mahmoud
Dr Marwa Mahmoud is interested in building socially intelligent technologies utilising computer vision and multimodal machine learning for applications of "AI for Social Good". She pioneered research directions on affective gestures analysis as well as vision-based AI for early diagnosis of disease in animals and animal welfare applications.