role: Students
Marco Krumery
PhD Researcher
PhD Researcher supervised by professor Tiziana Margaria
OTHER TEAM MEMBERS
Vanita NaNa
PhD Researcher
Supervised by: Dr. Mark Marshall
Cailean Finn
PhD Researcher
Supervised by: Professor Mike Hinchey, Dr. Nora O’Murchu
OTHER TEAM MEMBERS
Minh Quang Le
PhD Researcher
Supervised by: Professor Cathal Gurrin, Dr. Liting Zhou
OTHER TEAM MEMBERS
Anna Roy
PhD Researcher
Supervised by: Dr. Eadaoin Carthy
Gianpiero Guidone
PhD Researcher
Gianpiero is a PhD candidate in Computer Science at the University of Galway, funded by the CRT-AI scholarship, under the supervision of Dr. Ihsan Ullah and Dr. Sharif Faisal. He is a member of the Visual Intelligence Lab. His PhD research focuses on generating coherent medical reports for plaque analysis in Cardiovascular Computed Tomography (CCT) images using Vision-Language Models.
He graduated from the University of Naples Federico II in 2024 with a Master’s degree in Physics, after earning his Bachelor’s degree in Physics from the same university in 2022.
Supervisor: Dr. Ihsan Ullah and Dr. Sharif Faisal
OTHER TEAM MEMBERS
Jed Hazaymeh
PhD Researcher
Supervised by : Professor Andrew McCarren
Negin Tavallaie
Supervised by: Dr. Lorna Fitzsimons & Reihaneh Aghamolaei
OTHER TEAM MEMBERS
Thang-Long Nguyen-Ho
Thang-Long Nguyen-Ho is currently pursuing a PhD at the School of Computing, Dublin City University (DCU) since January 2024, under the supervision of Prof. Graham Healy and Prof. Cathal Gurrin. His research topic is information retrieval, with a strong focus on training and optimizing large language models for multimodal search and developing AI agents capable of retrieving and reasoning over complex information. He is also interested in designing scalable machine learning infrastructures, particularly large-scale retrieval architectures for diverse applications. He completed his Bachelor’s degree in Computer Science with first-class honours from the University of Science, Ho Chi Minh City, where he was actively involved in research and academic activities.
Supervisors Prof. Graham Healy and Prof. Cathal Gurrin
Luo Yang
Luo Yang is a first year PhD candidate at Trinity College Dublin under the supervision of Professor Vinny Cahill. He completed his master’s degree in computer science at TCD, focusing on intelligent systems and reinforcement learning, and earned a first class distinction. Luo’s current research is exploring the integration of deep reinforcement learning and swarm intelligence for city scale autonomous vehicle coordination. Luo’s academic journey includes a bachelor’s degree in software engineering from Nanjing University of Information Science and Technology and South East Technological University. His interests span reinforcement learning, multi agent systems, and sustainable AI solutions for smart cities. He has previously published work on Monte Carlo Tree Search algorithms and contributed to practical applications like disaster response systems. Outside of his research, Luo is keen on interdisciplinary collaboration and aims to contribute to cutting edge AI innovations that address real world challenges.
Supervisor: Professor Vinny Cahill
OTHER TEAM MEMBERS
Salma Mekaoui
PhD Researcher
Salma Mekaoui received her Master’s degree in Intelligent Systems and Networks from the Faculty of Sciences and Technology (FST) in Fes, Morocco. Prior to beginning her Ph.D., she worked as a Java developer, gaining valuable industry experience in software development. She is currently pursuing her Ph.D. at the University of Limerick (UL), Ireland, as part of the SFI-funded Centre for Research Training in Artificial Intelligence (CRT in AI). Her research focuses on natural language processing, specifically topic labeling, and she integrates advanced methodologies to tackle its challenges.
Supervisors: Dr. Nikola Nikolov
OTHER TEAM MEMBERS
Malaika Mushtaq
PhD Researcher
Malaika Mushtaq is a PhD student in Computer Science at the University of Galway, co-supervised by Dr. Ihsan Ullah and Prof. Michael Madden. Her research focuses on designing explainable lightweight neural networks, blending efficiency and interpretability to bridge the gap between AI model performance, explainability, and real-world deployment. At the Visual Intelligence Lab, she explores the intersection of computer vision, neural network compression, and explainable AI, aiming to develop more interpretable and efficient deep learning models.
She has worked on biomedical robotics, leveraging deep learning to analyze therapy robot usage and improve rehabilitation software. As part of a research team, she contributed to home rehabilitation studies using the H-Man robotic system, conducted in collaboration with Tan Tock Seng Hospital and the Singapore-ETH Centre. During her time at BIOMISA Lab, she worked on automated vertebrae localization and segmentation for spine analysis, gaining experience in medical image processing and computer vision techniques.
Supervisors: Dr. Ihsan Ullah and Professor Michael Madden
OTHER TEAM MEMBERS
