I am currently a PhD student in the School of Computing department at Dublin City University and my supervisors are Prof. Mark Roantree, Prof. Tia Keyes (in Keyes Research Group) and Prof. Cathal Gurrin. I have a huge interest in developing AI models that can address real-life healthcare challenges. Currently, I am working on applying machine learning models in early-stage cancer diagnosis with the aim of increasing its integration into clinical settings. 
I began my journey as a medical doctor in Vietnam, where I earned my bachelor’s degree. Driven by the passion for artificial intelligence, I spent the last 2 years pursuing further education in computing to fulfill the knowledge and research. During this period, I have published papers focused on computer vision in the fields of Cardiology and Diagnostic Imaging.

Supervisors: Prof. Mark Roantree, Prof. Tia Keyes, Prof. Cathal Gurrin

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

Le has been a PhD student in the School of Computing at Dublin City University (DCU) since January 2024. He is a part of the fifth cohort funded by the Science Foundation Ireland’s Centre for Research Training in Artificial Intelligence. Supervised by Prof. Martin Crane, Dr. Mai Tan Tai (DCU), and Dr. Harry Nguyen (UCC), he specialises in Deep learning. He aims to work on applying multimodal learning analytics in medical training to discover efficient and effective study methods and deliver prompt and useful feedback for medical surgery students.

Le holds a Degree in Engineering in Information technology from the National University of Civil Engineering – Vietnam with first-class honours, being the valedictorian of his university.

Before starting his PhD, he had worked for 5 years in some market-leading companies in Vietnam as a software engineer specialising in cloud computing, data and system architecture, DevOps and CI-CD flow. He had experience in dealings with multiple data-driven systems: human activities tracking, smart houses, autopilot validation and core banking, ensuring both high quality and high availability. Apart from research, he likes to jog, play chess, listen to music, play harmonica and explore nature.

Supervisors: Professor Martin Crane, Dr. Mai Tan Tai, Dr. Harry Nguyen.

Thomas Keogh is a first-year PhD researcher in the School of Computing at Dublin City University (DCU), where he is supervised by Prof. Mark Roantree. His research is the field of machine learning and deep learning as applied to medical data. He’s currently collaborating with the School of Chemical Sciences and is researching deep learning-based spectroscopic analysis of exosomes, using Surface Enhanced Raman Spectroscopy (SERS), for the purposes of disease diagnosis and staging.

Thomas holds a BSc (Hons) in Applied Physics from DCU and an MSc in Medical Physics from the National University of Ireland, Galway (NUIG). His MSc thesis focused on a form of internal radiotherapy known as brachytherapy and was titled “Statistical analysis of doses to target and Organs at Risk (OAR) during Low Dose Rate (LDR) permanent prostate treatment for monotherapy patient cohort”. In 2020 he was selected by the European Society for Radiation Oncology (ESTRO) to present a poster version of his MSc thesis at the 2021 World Congress of Brachytherapy. Following graduation from his MSc programme with first-class honours in December 2020, he commenced work as a Medical Physicist in Diagnostic Radiology and Nuclear Medicine at Tallaght University Hospital, where he worked for 2 years before commencing his PhD research.

Supervisor: Professor Mark Roantree 

Vitor dos Santos is a PhD student in the School of Computing in Dublin City University (DCU) since October 2022. He is part of the fourth cohort being funded by the Science Foundation Ireland’s Centre for Research Training in Artificial Intelligence. Supervised by Dr. Boualem Benatallah, he is specialising in Deep Learning, and he is aiming to work on the combination of vision and language models for process discovery from unstructured process artifacts.

Vitor holds a MSc in Mechatronics Engineering from the Federal University of Rio Grande do Norte (UFRN) – Brazil. In this research, he developed a computer vision system to perform local map computation and give autonomous features for a lower limb exoskeleton using a RGB-D sensor.

He holds two Bachelors degree from UFRN with first-class honours. The first one is in Electrical Engineering, with partial fulfilment in the University of Kansas – USA, and the second one is in Information Technology. In his undergraduate studies, he participated on many research projects related to robotics, image processing, computer vision and deep learning. Some of the projects includes developing an automated system to separate objects using image processing and a robotic arm, developed at Illinois Institute of Technology (IIT) – USA; and performing automatic license plate recognition using convolutional neural networks, developed at UFRN. Many papers were published at conferences during his research period.

Before starting his PhD, he was a professor at the Federal University of Rio Grande do Norte (IFRN), teaching classes on Electronics and Programming, advising students on internships and projects, and participating on projects related to object detection. Apart from academics, he likes to play football, go to the beach, walk in parks and explore nature.

Supervisors: Professor Boualem Bentatallah