role: Supervisors
Professor Martin Crane
CRT in AI Supervisor
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
OTHER TEAM MEMBERS
Professor Mark Roantree
CRT in AI Supervisor
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.
OTHER TEAM MEMBERS
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
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.
OTHER TEAM MEMBERS
Dr. Matthias Nickles
CRT in AI Supervisor
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.
OTHER TEAM MEMBERS
Dr. Malika Bendechache
CRT in AI Supervisor
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.
OTHER TEAM MEMBERS
Dr. Dave Lewis
CRT in AI Supervisor
Dave Lewis is an Associate Professor at the School of Computer Science and Statistics at Trinity College Dublin and the head of its Artificial Intelligence Discipline. He is Deputy Director of the ADAPT SFI Research Centre for Digital Content Technology. His research focuses on the use of open semantic models for Trustworthy AI and Data Governance, including open models for Data Protection and AI Ethics. He has led the development of international standards in AI-based linguistic processing of digital content at the W3C and OASIS. He is currently active in international standardisation of Trustworthy AI at ISO/IEC JTC1/SC42 and CEN/CENELEC JTC21.
OTHER TEAM MEMBERS
Dr. Diarmuid Grimes
CRT in AI Supervisor
My research interests are mainly around the application of machine learning techniques and optimisation technologies to real-world problems. Previous sample domains include the energy sector (minimisation of consumption/costs in residential/industrial settings), and transport sector (condition-based maintenance for trains, scheduling urban rail fleets, etc).
I have secondary interests around cybersecurity, in particular applied cryptography and fraud/anomaly detection.
OTHER TEAM MEMBERS
Professor Bashar Nuseibeh
CRT in AI Supervisor
Bashar Nuseibeh is a Professor of Software Engineering at the University of Limerick and Lero – The Irish Software Research Centre, where he serves as Chief Scientist. He is also a co-PI on Confirm, the SFI Research Centre on Smart Manufacturing. He is holds a Professorship in Computing at The Open University, UK, and previously was a Reader in Computing at Imperial College London. He was also a Visiting Professor at Imperial College London, and is currently an Honorary Professor at University College London and a Visiting Professor at the National Institute of Informatics (NII), Tokyo, Japan. Bashar’s current research interests lie at the intersection of software/requirements engineering, adaptive systems, and security and privacy. He is a Fellow of the Institution of Engineering & Technology, the British Computer Society, the Irish Computer Society, and is a Member of Academia Europaea and the Royal Irish Academy.
Dr. Alessio Benavoli
CRT in AI Supervisor
Alessio Benavoli is an internationally recognised researcher in statistics, probabilistic machine learning, and automation. He received his Master’s degree (2004) and his Ph.D. (2008) in Computer and Control Engineering from the University of Florence, Italy. From 2007 to 2008, he worked for the international company SELEX-Sistemi Integrati as system analyst. From 2008 to 2019, he was at the Dalle Molle Institute for Artificial Intelligence (IDSIA) in Lugano, Switzerland, becoming full professor in 2018. From 2019 to 2021, he was Senior Lecturer in Artificial Intelligence and Machine Learning (ML) at the University of Limerick (Ireland).
Currently, he is Associate Professor in Statistics at the School of Computer Science and Statistics, Trinity College Dublin. Alessio has ~110 technical peer-reviewed publications in main scientific journals and conferences in AI, machine learning (ML) and statistics, and his research bridges AI and ML, data science and engineering. He has 15 years experience in developing statistical models and AI-based systems for industry with applications to smart manufacturing, quantitative finance, green energy production forecast and defence sector.
Dr. Saber Takfarinas
CRT in AI Supervisor
Takfarinas is a Lecturer in the School of Computer Science at the National University of Ireland, Galway (NUIG) and a Funded-Investigator in Lero, the Science Foundation Ireland Research Centre for Software.
His area of expertise is in the optimisation of Complex Software Engineering Systems such as Cloud Computing, Software Engineering and Testing, and Communication Network Systems. He designs and applies novel Artificial Intelligence techniques from Machine Learning, Operations Research, and Evolutionary Computation/Learning to improve the Performance and Trustworthiness of such systems.
Previously, he has held a lecturer position both in the School of Computing at Dublin City University (DCU) and in the School of Computer Science at Dublin City University (UCD). He has also held a Post-doctoral Researcher position at the Natural Computing Research & Applications Group at Michael Smurfit Graduate Business School, UCD.
He obtained his PhD in Computer Science in 2017 from UCD, Ireland. His PhD topic is Multi-objective Optimisation of Large-Scale Data Centres. He received his BSc in Computer Science and his MSc in Computer Science, track: Optimisation In Operations Research from the University of Nantes, France.