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.
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.
Jafaritazehjani I work on the subject of neural style transfer in text as a PhD researcher in collaboration between universities of Rennes1, and TU Dublin. I have finished the second year of my project here.
Van-Tu Ninh Tu has been a PhD Candidate since 2019 at ADAPT under the supervision of Cathal Gurrin and his thesis is on Virtual Reality Mediated Stress Reduction and Habituation. At Dublin City University, he has worked with many other partner Universities to develop solutions and applications which support health monitoring and analysis via Lifelog Data. Currently, he focuses on Lifelogging Data Analytics and Information Retrieval to analyze stress patterns and applying Virtual Reality to help people reduce and habituate to stress. He is based in Dublin City University.
James Barry James is a PhD Student at the School of Computing, Dublin City University. His research focuses on natural language processing, with a particular focus on dependency parsing. He is interested in applying machine learning algorithms for multilingual applications, under domain shift and in low-resource scenarios.
