role: Supervisors
Professor Declan O’Sullivan
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Declan O’Sullivan is a Professor in Computer Science at the School of Computer Science and Statistics (https://www.scss.ie), Trinity College Dublin, and is a co-applicant Principal Investigator in Science Foundation Ireland’s (SFI) Research Centre ADAPT (http://www.adaptcentre.ie). Data and its relationship with Machine Learning and Artificial Intelligence algorithms, is increasingly dominating the research landscape, as intelligent applications become embedded in our daily lives. Prof. O’Sullivan and his team’s research into Knowledge Graph Techniques (which extracts, transforms and integrates data) is central to this relationship. People and machines benefit from knowledge graph techniques for purposes such as data integration, knowledge discovery and in-depth analyses. Since joining TCD from industry in 2001, he has established himself as an international research leader in his field: authoring 280+ scientific peer-reviewed papers and international Journals; being a member of 3 journal editorial boards and having undertaken 12+ chair roles in IEEE and IFIP conferences over the years. He was elected as a Fellow in Trinity College Dublin in 2019 in recognition for the quality of his contributions. He has won competitive research funding as PI and Co-PI across a range of funding programmes: European Commission (H2020 and Marie Curie); Science Foundation Ireland (FAME, CNGL, ADAPT); HEA PRTLI (NEMBES, TGI) and from industry: IBM Research, Huawei, Accenture, Ericsson, Nokia Bell Labs, Ordnance Survey Ireland, Central Statistics Office.
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Dr. Alessandra Mileo
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Dr. Alessandra Mileo is currently a Lecturer in the School of Computing, a Funded Investigator at the INSIGHT Centre for Data Analytics, and a Funded Investigator at the I-Form Advanced Manufacturing Centre, Dublin City University. She was previously a Senior Research Fellow, Adjunct Lecturer and Unit Leader at the INSIGHT Centre for Data Analytics, National University of Ireland Galway. She holds an MSC and a PhD in Computer Science from the University of Milan, Italy.
Before Joining the Digital Enterprise Research Institute (DERI, NUIG) in 2010, she was a Post-doctoral Researcher at the Nomadis Lab, Dept. of Informatics, Systems and Communication of the University of Milano-bicocca, conducting interdisciplinary research activities involving Ambient Intelligence and Knowledge-driven Sensor Fusion, which converged in the succesful EU project proposal EasyReach, AAL, 2009-2-17, as well as the establishment of a spin-off company in 2009, now called Contexta. She continued her active contribution to successful EU proposals within DERI and later INSIGHT, acquiring a competitive EU project in the Smart Cities realm (CityPulse: Real-Time IoT Stream Processing and Large-scale Data Analytics for Smart City Applications) and she has been Principal Investigator for the primary industry collaboration within the Research Centre portfolio (Enabling the Internet of Everything: a Linked Data infrastructure for networking, managing and analyzing streaming information and follow up industry-funded projects).
In the last 5 years, Dr. Mileo has developed a research programme in Knowledge Representation and Stream Reasoning, leveraging Semantic Technologies, expressive reasoning and statistical relational learning to design new approaches for scalable stream reasoning.
Dr. Mileo has secured almost 1 million euros in funding including national (SFI, IRC), international (EU, NSF) and industry-funded projects, publishing 90+ papers often in high impact journals and conferences. Dr. Mileo is an active PC member of over 20 top-ranked conferences and high-impact journals in her areas of interests within Artificial Intelligence, including Stream Reasoning, Complex Systems, Logic Programming, Semantic Web, Probabilistic Rule Learning, Knowledge Discovery and Knowledge Representation. including the Journal of Web Semantics (JWS), IEEE Intelligent Systems (IEEE IS), Theory and Practice of Logic Programming (TPLP), and she is Area Editors of the Databases and Semantic Web track of the Association of Logic Programming Newsletter. Dr. Mileo has been involved as a Program Chair, Panelist and Doctoral Consortium Mentor and Chair in a number of conferences, workshops and tutorials. As a member of the W3C, she is involved in standardization activities such as the W3C Community Group on RDF Stream Processing. She is Steering Committee member of the Web Reasoning and Rule Systems Association (RRA) and she is acting as evaluator for H2020 proposals.
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Professor Graham Healy
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Graham Healy
I’m an Assistant Professor in the School of Computing at Dublin City University, Dublin, Ireland. My research interests involve human-computer interaction, brain-computer interfacing, machine learning and data analytics.
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Professor Siobhán Clarke
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Siobhán Clarke is Professor of Software Systems at Trinity College Dublin. Her research expertise is in software engineering models for the provision of smart and dynamic software services to urban stakeholders, addressing challenges in the engineering of dynamic software in ad hoc, mobile environments. She has >200 publications, with her team more recently publishing on topics relating to a middleware for resilient, QoS-aware service discovery and orchestration for mobile consumers/providers, and on service placement models at the edge, all using various machine learning techniques.
Prof. Clarke is the founding Director of Future Cities, the Trinity Centre for Smart and Sustainable Cities, and leads the Enable Science Foundation Ireland Research Programme on Connecting Communities to Smart Urban Environments through the Internet of Things. She is a Principal Investigator in the CONNECT and Lero SFI Research Centres. She recently joined the Communications of the ACM News Editorial Board.
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Professor Gareth Jones
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Gareth Jones is a Professor in the School of Computing at Dublin City University (DCU), and Principal Investigator in SFI ADAPT Centre. His research focuses on topics centred on information retrieval, including multimedia (spoken and visual content), cross-language and multilingual, personal archives and lifelog, information sources; application areas including medical, legal, patents; and theoretical work on search models and personalisation in search. His current work focuses mainly on proactive and conversational search. He has received several conference best paper awards. In 2021, he was recipient of the DCU President’s Research Award for physical sciences and engineering.
He has extensive experience in evaluation benchmarks in information retrieval including, CLEF, TREC, TRECVID, NTCIR and FIRE, and was co-founder of the MediaEval multimedia evaluation campaign. He was programme co-chair of ECIR 2010 and ACM SIGIR 2011, and general co-chair of ACM SIGIR 2013 and CLEF 2017, will serve as general co-chair of Interspeech 2023, and has taken a range of roles at other conferences. He regularly serves as a committee member of international conferences in information retrieval, natural language processing, multimedia, and speech processing.
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Professor Martin Crane
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I received my B.A. B.A.I. (Mech. Eng.) degrees from Trinity College Dublin in 1989 and my Ph.D. from the same institution in 1993. I have been at DCU School of Computing since 1999 and Professor since 2020.
My areas of Research include Quantitative Finance and Complex Systems. Please feel free to email me should you be interested in doing Research in these areas.
Currently I am Head of School in the School of Computing and Funded Investigator in ADAPT
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Professor Mark Roantree
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Prof. Roantree is an Investigator at the Insight Centre for Data Analytics at Dublin City University (DCU) where he leads the Research Challenge on Data Engineering & Governance. He has secured in excess of 3.5 million euros in funding, publishing almost 150 papers, often in high impact journals and conferences, graduating 23 research students (10 PhDs) between 1998 and 2020. Mark’s research has a strong multidisciplinary focus, establishing a number of key industrial and public sector collaborations. He currently has 6 PhD students working in the areas of graph analytics, predictive algorithms for climate science, agricultural sector, health and human performance, and in constructing novel query interfaces for complex data.
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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.
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
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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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Dr. Matthias Nickles
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Dr Matthias Nickles is a Lecturer Above the Bar (≈ Assistant Professor with tenure) in the School of Computer Science at National University of Ireland, Galway. He commenced his current position after studying Computer Science with Psychology at Ludwig Maximilians University Munich (LMU), obtaining a PhD in 2006 in Computer Science/Artificial Intelligence from Technical University of Munich (TUM), Germany, and working in research and teaching positions at TUM and University of Bath (UK). His main research interests are in Artificial Intelligence, in particular Machine Learning (Statistical Relational Learning and Reinforcement Learning), Probabilistic Logics, Satisfiability Solving, Answer Set Programming, Semantic Technologies, and Multiagent Systems. He has authored or co-authored more than 80 publications in his research areas and has been a member of more than 40 program committees and 12 organization committees of international workshops or conferences. He was appointed a W3C Invited Expert on Web Uncertainty Reasoning and has been active in several collaborative research projects in his research areas.
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Dr. Malika Bendechache
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Dr Malika Bendechache
She lectures in Blockchain and Distributed Ledger Technology. Malika’s research interests span the areas of Big data Analytics, Machine Learning, Data Governance, Parallel and Distributed Systems, Cloud/Edge/Fog Computing, Blockchain, Security and Privacy. Previously, she has held the position of Post-Doctoral Researcher at the Irish Institute of Digital Business (IIDB, dotLab) at DCU Business School. Her work was part of the RECAP Horizon 2020 project. She focused on developing the next generation Cloud/Edge/Fog Computing through Interoperability, Automation, and Simulation. Malika obtained her PhD in Computer Science at Insight Centre for Data Analytics, University College Dublin. Her PhD was on the design of a highly scalable distributed Big Data mining framework.
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