Dr. Mihael Arcan

CRT in AI Supervisor

I am a research fellow at the Data Science Institute (DSI) and Adjunct Lecturer at the School of Computer Science at the National University of Ireland Galway (NUI Galway). I am working in the Unit for Natural Language Processing (UNLP), which is led by Dr Paul Buitelaar. My main research topic focuses on terminology and knowledge graph injection into neural machine translation architecture. Recently, I am also following the work on dialogue systems and natural language generation with multi-modal data. I am primarily funded by the nationwide Insight SFI Research Centre for Data Analytics, which is also hosted within DSI.

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Rory Ward

PhD Researcher

Rory Ward is a first-year PhD student in the Unit for Social Semantics at the Data Science Institute, National University of Ireland, Galway, where he is supervised by Prof. John Breslin. His research is in the field of Automatic Visual Media Colourisation which is a subfield of Artificial Intelligence. This area is concerned with tools and techniques to colourise black and white images and videos from some underlying representation of information. Rory holds a B.Eng. in Electronic and Computer Engineering from National University of Ireland, Galway, where his thesis was focused on Local-Specifically Trained Deep Learning Colourisation. Prior to joining the CRT-AI funded PhD programme, Rory developed a background in Electrical Power Transmission. In his spare time Rory enjoys practicing judo and playing guitar.

Supervisor:  Professor John Breslin

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Aaron Flannagan

PhD Researcher

Aaron Flannagan is a first-year PhD student in the school of computer science at the National University of Galway (NUIG), where he is supervised by Dr. Frank Glavin. His research is in the field of Data Synthesis and Deep Learning which is a subfield of Artificial Intelligence machine learning that is concerned with the tools and techniques of data augmentation, automatic learning, and predictive modelling. Aaron holds an MSc. in Artificial Intelligence from NUIG where his thesis was focused on the semantic segmentation of the skin layer boundaries in nano and standard Optical Coherence Tomography finger tissue scans prior to joining the CRT-AI funded PhD programme, Aaron worked as a software developer and devops engineer in SAP, while obtaining his MSc part-time over two years. The core projects he focused on were concerned with the tracking and tracing of pharmaceuticals, systems integration for a drug ordering management portal, and full-scale network and API development for financial institutions. 

Supervisor: Dr. Frank Glavin

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Fitria Wulandari Ramlan

PhD Researcher

Fitria Wulandari

Fitria is a member of the 3rd cohort of CRT-AI, studying at the School of Computer Science, University of Galway, under the supervision of Dr. James McDermott. Her research is in the field of Evolutionary Computation, which is a subfield of AI. She is working on the interpretability of regression modelling for interpolation and extrapolation using genetic programming (GP) and multi-objective optimization. 

She gained an interest in this field while she was doing her master’s at Kyungpook National University in the research lab of Evolutionary Computation and Intelligent Systems Lab, South Korea, and her thesis was focused on the Evolutionary Multi/Many-objective Approaches to solving the Next Release Optimization Problems. 

Supervisor: Dr. James McDermott

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Adam Callaghan

PhD Researcher

Adam Callaghan is a first-year PhD student in the Information Technology department in the National University of Ireland Galway, where he is supervised by Dr. Patrick Mannion and Dr. Karl Mason. His research is in the field of Theoretical Evolutionary Deep Reinforcement Learning which is a subfield of Artificial Intelligence that is concerned with developing genetical algorithms in the domain of Deep Reinforcement models. He holds an honours BSc in Mathematics and Applied mathematics. His final year project was on Differential Geometry and focused on Vector Bundles, sections and Connections.  He also holds a higher diploma in Data Analytics from the National University of Ireland Galway, where he undertook a research paper in Classical Machine learning and Artificial Neural Networks for use in Credit Card Fraud Detection. Prior to joining the CRT-AI funded PhD programme, He was involved in a research internship on the multidisciplinary “Safeplan” project in collaboration with the National University of Ireland Galway. The project aimed to offer a new mobile application providing help for individuals with suicidal intentions through the use of break-point analysis and machine learning techniques. In his/her spare time He enjoys hanging out with friends playing soccer and video games. 

Supervisor : Dr. Patrick Mannion and Dr. Karl Mason.

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Roisin Jiaolin Luo

PhD Researcher

Jiaolin Luo is a first-year PhD student in the School of Computer Science, National University of Ireland Galway, where she is supervised by Dr. Colm O’Riordan. Her research is in the field of the Explainability and Interpretability of Deep Learning which is concerned with the explanation approaches, and, the theoretical and empirical research, of DL architecture and tricks. She holds a Masters of Science degree in Artificial Intelligence from NUI Galway, Ireland, where her thesis was focused in the research of self-supervised contrastive learning. Prior to joining the CRT-AI funded PhD programme, she worked as a level-19 leading architect and expert focusing on data storage research at Huawei Research Institute and a researcher focusing on memory technology and High-performance Computing (HPC) at the PASA Lab of University of California Merced. She holds 10+ granted patents from China/USA/Europe in data storage and conference publications in the field of HPC and System for Machine Learning (System for ML). In her spare time she enjoys making friends, cooking, doing sports, travelling and learning to play instruments.

Supervisor: Dr. Colm O’Riordan.

PUBLICATIONS

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Mashal Kahn

PhD Researcher

Mashal Kahn is a first-year Ph.D. student in the Department of Computer Science at the National University of Ireland, Galway-NUIG, where she is supervised by Dr. Matthias Nickles and Dr. Frank Glavin. Her research is in the field of Federated Machine Learning which is a subfield of Artificial Intelligence. The research is about the decentralized and federated training of Machine Learning models ensuring data Privacy. Mashal holds an MS in Information Security, Pakistan where her thesis was focused on Blockchain and its applications. Prior to joining CRT-AI funded Ph.D. program, Mashal worked as a Lecturer and Final Year Project Coordinator in the department of Computer Science, National University of Computer and Emerging Sciences, Pakistan. She also worked as a Research Assistant, where she worked on the network and security analysis of blockchain networks. In her spare time, Mashal enjoys hanging out with friends, going on trips, and playing badminton.

Supervisor: Dr. Matthias Nickles and Dr. Frank Glavin.

PUBLICATIONS

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Dr. Josephine Griffith

CRT in AI Supervisor

Josephine Griffith 

Recommendation and Collaborative Filtering

Recommendation tools are now a common component in many online sites which involve a user choosing to view or purchase items based on personal preferences. For example, books, movies, music, hotels, restaurants, etc.

Collaborative Filtering techniques are one approach to recommendation. These techniques use the previous preferences of users to recommend new items to a user.

Despite the prevalence of recommendation techniques, the area still remains a fruitful research one, from the perspectives of data available, approaches and techniques used and the analysis of the usefulness and novelty of recommendations, and many others.

Social Media Analysis and Tools

The advent of Social Media sites offers many new sources of data to analyse and use in novel ways. We have now available a vast amount of information about people, brands and corporations – what they say and what is said about them, who they connect to and who connects with them, how they respond to events and become authorities on events. Wars, sport, elections, floods, famines can all be viewed through the lenses of social media activity.

In particular, sentiment analysis techniques can be applied to analyse the influence and reach of brands and people. This analysis will most likely involve the following steps: gathering data from a social media forum (e.g. Twitter), categorising and clustering the data based on features and on sentiment; and identifying trends in the data.

PUBLICATIONS

Dr. James McDermott

CRT in AI Supervisor

James McDermott is a Lecturer in Computer Science in the National University of Ireland, Galway. He holds a BSc in Computer Science with Mathematics from the National University of Ireland, Galway, and a PhD in evolutionary computation and computer music from the University of Limerick. He has also worked on supercomputing in Compaq/Hewlett-Packard. His post-doctoral work was in evolutionary design and genetic programming in University College Dublin and Massachusetts Institute of Technology. His research interests are in program synthesis, evolutionary computing, artificial intelligence, and computational music and design. He has chaired the EuroGP and EvoMUSART international conferences, is a member of the Genetic Programming and Evolvable Machines journal editorial board, and associate editor of ACM SIGEvolution.

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Professor Edward Curry

Edward Curry is the Established Professor of Data Science and Director of the Insight SFI Research Centre for Data Analytics and Data Science Institute at NUI Galway. Edward has made substantial contributions to semantic technologies, incremental data management, event processing middleware, software engineering, as well as distributed systems and information systems. He combines strong theoretical results with high-impact practical applications. The excellence and impact of his research have been acknowledged by numerous awards, including best paper awards and the NUIG President’s Award for Societal Impact in 2017. His team’s technology enables intelligent systems for smart environments in collaboration with several industrial partners. He is organiser and programme co-chair of major international conferences, including CIKM 2020, ECML 2018, IEEE Big Data Congress, and European Big Data Value Forum.  Edward is co-founder and elected Vice President of the Big Data Value Association, an industry-led European big data community, has built consensus on a joint European big data research and innovation agenda, and influenced European data innovation policy to deliver on the agenda.

PUBLICATIONS

Professor Paul Buitelaar

Co-Director

Professor Paul Buitelaar is Professor in Data Analytics and Vice-Director of the Data Science Institute at the University of Galway where he also leads a team in Natural Language Processing.

He is co-Director of the SFI Centre for Research Training in AI and co-PI of the Insight SFI Research Centre for Data Analytics. His research interests are in the development and use of Natural Language Processing methods for knowledge extraction and semantic-based information access. He has been involved in a large number of national and international funded projects in this area, among which the EU funded projects: Monnet, which developed the lemon model for ontology based lexicons; MixedEmotions, which developed the MixedEmotions toolbox for multilingual, multimodal emotion analysis; and Pret-a-LLOD, which develops the LingHub repository for linguistic data, among other focus areas. He has further been the originator and lead on the development of the Saffron framework for knowledge extraction from text.

Dr. Frank Glavin

CRT in AI Supervisor

Frank Glavin has been a lecturer in the School of Computer Science at NUI Galway since 2016. He received an honours B.Sc. degree in Information Technology from NUI Galway in 2006 and an M.Sc. (by research) degree in Applied Computing and Information Technology from NUI Galway in 2010. This was part of a collaborative project between NUI Galway and UCD. This work involved developing a One-Sided Classification toolkit for high dimensional spectroscopy data and the work resulted in a publication which won the best paper award at a national AI conference. Frank received a  Ph.D. from NUI Galway in 2016 with work that involved designing and implementing multiple reinforcement learning architectures in Java to automate the control and adaption of non-player characters in a commercial first-person shooter game. He helped to set up the ComputerDISC programming support service in NUI Galway in 2010 and he managed, as well as tutored, in the centre for five years under a HEA funded teaching scholarship. His Ph.D. work resulted in five peer-reviewed papers being published including an international student best paper award. Upon finishing his Ph.D., he began work as a software engineer for Analyze IQ™ Limited and this involved designing and developing software applications for performing data analytics and library search on spectral data. He took up the lecturing post in 2016 and, in 2018, he took over the role as the academic coordinator of the Computer Drop-In Support Centre. In 2020, he began a part-time consultancy role as a Leaving Certificate Computer Science Associate with the Professional Development Service for Teachers (PDST) and he also holds a postgraduate Certificate in Teaching and Learning. He has been the director of the MSc. in Computer Science (Data Analytics) since 2020.

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