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 

Vivek Bulani is a PhD student in the School of Computing in Dublin City University from October 2022. He is part of the Fourth Cohort being funded by the Science Foundation Ireland’s Centre for Research Training in Artificial Intelligence. He has recently graduated with a First – class Honours (1.1) degree in MSc Data and Computational Science from University College Dublin, Ireland. As a part of master’s thesis, he has worked on the Federated Learning framework for Recommendation Systems. His focus was on exploring Model-Poisoning Attacks on the Federated Recommendation Model and proposing defence strategies against them.He has completed his Bachelor in Computer Engineering from Pune University, India with First – class Honours. In his undergraduate studies, he has developed various projects at the intersection of Data Science and Health Industry. His Final Year project work used Photoplethysmogram signals to predict the presence of any illness in the human body using the principles of Signal Processing, Machine Learning, Deep Learning and Ayurveda, thus helping in early detection and treatment of human diseases. He has also published a survey paper on Machine Learning Algorithms for Diabetes Detection. He has been among the top five University Rank Holders in his first year of bachelor’s.For his PhD, he is aiming to work on the use of Deep Learning techniques in Cryptocurrency with primary focus on user portfolios. Apart from academics, he likes to play Football and Badminton, walking and exploring in the midst of nature.

Supervisors – Dr. Martin Crane, Dr. Marija Bezbradica.

Teerath Kumar, is a full time PhD Student, at Dublin City University, Glasnevin, Ireland. Previously I was full time research Assistant at Kyung Hee University, South Korea for 2 years, and published journals and conference papers in the field of computer vision and machine learning. I also worked as a Data Scientist at Human Focus Technologies, UK based company, Islamabad, Pakistan for 8 months. Before that, I was also part time internee during my undergrad study at Automotive Artificial Intelligence Germany based in Islamabad.  I have been working on deep learning for computer vision for the last 4 years. My research interests (are not limited to): image classification, detection and segmentation. Additionally, I worked with medical imaging as well in last 6 months.

Supervisors: Dr. Malika Benechache

Bunyarit is a first-year PhD student at the School of Computing, Dublin City University, where he is supervised by Dr. Graham Healy and Dr. Cathal Gurrin. His research is in the field of face de-identification which is a subfield in Artificial Intelligence Computer Vision that is concerned with tools and techniques to synthesise faces while protecting privacy and preserving semantic for faces in lifelogging data. Bunyarit holds an BSc. in Computer Science from King Mongkut’s University of Technology Thonburi in Thailand prior to joining the CRT-AI funded PhD programme. In his spare time Bunyarit enjoys social activities, cooking and playing music instruments such guitar and piano.

Supervisor: Dr. Graham Healy & Professor Cathal Gurrin

Kislay Raj is a first-year Ph.D. student at the school of computing, Dublin city university(DCU), where he is supervised by Dr. Alessandra Mileo.
His research is in the field of NeuroSymbolic Artificial Intelligence, which is concerned with Bridging the gap between Deep Learning and Reasoning for Explainable and Trustworthy Decision Support that is a concerning possibility of creating a common representation space where high dimensional probability distribution and causal/temporal reasoning over data streams can be combined to enable explainable and trustworthy decision support that exhibit continuous neural learning as well as cognitive stream reasoning capabilities. He holds a First class MSc. in Data Analytics, Ireland, where his thesis was focused on Fake News detection using machine learning algorithms; Prior to joining the CRT-AI-funded Ph.D. program, He worked in several positions which include, software engineering intern, Junior soft commodity analyst, online marketing manager, and data analytics consulting.
In his spare time, he enjoys writing poetry, hanging out with friends, and playing guitar. 

Supervisors: Dr. Alessandra Mileo

Praveen Acharya is a first-year Ph.D. student in the School of Computing at Dublin City University (Ireland) where he is supervised by Professor Gareth J.F. Jones. His area of research is in Natural Language Processing with a focus on natural language understanding and information retrieval. Praveen holds an M.Eng. in Computer Engineering from Kathmandu University (Nepal) where his thesis focused on Statistical and Neural Machine translation for under-resourced language pairs. Before joining the CRT-AI programme, he worked as a Machine Learning Engineer/Project Developer wherein he worked in healthcare workflow automation in US Healthcare Industry by developing and integrating machine learning pipelines for document classification and information extraction. When he is not working he enjoys spending time alone and is trying to take up running and travelling.

Supervisor: Professor Gareth J.F. Jones

Zhengfei is a first-year PhD student at the School of Computing in the Faculty of Engineering and Computing, Dublin City University, where he is supervised by Dr. Annalina Caputo. His research is in the field of Natural Language Processing which is a subfield of Artificial Intelligence that is concerned with tools and techniques to automatically explore diachronic change in human languages from historical documents. Zhengfei holds an MSc. in University College Cork, Ireland, where his thesis was focused on multi-dimensional sentiment analysis based on daily languages. Prior to joining the CRT-AI funded PhD programme, Zhengfei worked as a project team member on the 21st Extracurricular Academic Exchange Project held by Sochoow University. The project aimed to develop an AI-based digital recognition system to facilitate industrial production. In his spare time Zhengfei enjoys playing basketball, jogging and playing guitar. 

Supervisor: Dr. Annalina Caputo.