Goksu Yamac

Goksu works under the supervision of Carol O’Sullivan and his research focuses on improving AR/VR experiences through the perceptual evaluation of human motion. He explores human motion and interactions with the virtual world to understand how more realistic and more efficient experiences can be developed for AR/VR platforms. This entails many sub-problems from developing task-specific action detection models to developing full-body motion synthesis models, and consequently evaluating these models perceptually through user studies.

Carol O'Toole

Dr Carol O’Toole works in the Research Services team, working as the Research Integration Co-ordinator. This role involves working with researchers and academics from and across all Strands and from all of the ADAPT member institutions.

Ali Karaali

I have been working in Trinity College Dublin (TCD) as a research fellow for 3+ years, and conducting research on machine learning, mostly focusing on deep learning. I hold a PhD degree in computer science and have experience in various collaborative machine learning research projects as a researcher and/or co-advisor.

I have had a deep enthusiasm for machine learning, whereby we train computer models using representative data to perform human-level evaluation instead of programming them explicitly for a given task. I have pursued this enthusiasm for over a decade, most often for the development of visual-related technologies, but also in other applications such as audio an/or multi model audio-visual technologies.