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Dr Andrea Visentin

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Dr Andrea Visentin is a Lecturer and the PhD Programme Director at the School of Computer Science & IT at University College Cork (Ireland). He holds a BSc and an MSc in Computer Engineering from the University of Padua (Italy) and completed a PhD at the Insight Centre for Data Analytics.
 
His research focuses on inventory control, boolean satisfiability, time series forecasting and deep learning applications in biophotonics. He is part of/collaborates with the Insight Centre for Data Analytics, the Centre for Research Training in AI,  the Tyndall National Institute and the TAILOR research network. Dr Visentin is interested in AI and ethics. He collaborated with the European Commission High-Level Expert Group on AI (HLEG-AI) on the development of the Assessment List for Trustworthy Artificial Intelligence (ALTAI) tool.

Dr. John Dingliana

CRT in AI Supervisor

Dr. John Dingliana graduated with a B.Sc. Honors degree in Computer Science from University College Dublin in 1998 and received his PhD in the Department of Computer Science, Trinity College Dublin in 2003. In 2005, he was appointed as an Assistant Professor in the School of Computer Science and Statistics, Trinity College Dublin. His main research interests are in real-time computer graphics, interactive visualisation and augmented and virtual reality. He has been involved as principal investigator on several national and EU-funded projects in these areas including the SFI Investigator Project ARTIVVIS, the Horizon EU project TRANSMIXR and the EU FP7 project VERVE. He is also a Funded investigator in the SFI Research Center ADAPT, and a co-PI in the TCD Prendergast Challenge-based Multi-disciplinary Project, Life in The Currents.

Dr. Bharathi Raja Chakravarthi

CRT in AI Supervisor

Dr. Bharathi Raja Chakravarthi is a permanent Lecturer Above the Bar in the School of Computer Science at the University of Galway, Ireland. He works on multimodal machine learning, abusive/offensive language detection, bias in natural language processing tasks, inclusive language detection, and multilingualism. He has published papers in highly reputed journal papers (LRE, CSL, MTAP, SNAM, JDSA, JDIM, IJIM Data Insights etc.) and multiple international conference papers (COLING, LREC, MTSUMMIT, DSAA, LDK, GWC, AICS, FIRE, etc). He has received the Best Application Paper Award at DSAA 2020 IEEE and ACM-funded conference. Dr. Chakravarthi is an associate editor for Expert System with Application (Elsevier) and an editorial board member for Computer Speech & Language (Elsevier). He is also area chair of the 17th Conference of the European Chapter of the Association for Computational Linguistics 2023 and General Chair of SPELLL 2022 and  2023.  

He has graduated 27 MSc students and is currently supervising 6 MSc students and 2 PhD students.

Dr Harry Nguyen

Dr Nguyen is a Lecturer (Assistant Professor) at the School of Computer Science and Information Technology, University College Cork – National University of Ireland, Cork, Ireland. He holds a PhD in Information Systems and Analytics from the National University of Singapore, Singapore. Dr Nguyen is affiliated with the SFI Research Centre for Data Analytics (Insight) and SFI Centre for Research Training in Artificial Intelligence (CRT-AI). He has been working on large-scale research projects to develop reliable artificial intelligence for sustainable development goals. His work in reliable machine learning, robust decision optimization and smart health systems have been published in many conferences and journals, including AAAI Conference on Artificial Intelligence (AAAI), ACM Multimedia (ACM MM), and Health and Quality of Life Outcomes. In addition, Dr Nguyen has been chairing many AI/ML competitions and events, such as reliable intelligence on social media, AI for COVID-19 detection and MLOps challenges. His awards and honours include Herbert A. Simon’s design research award, IMDA Open Innovation and NUS Innovation & Entrepreneurship Practicum.

Dr. Rosane Minghim

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Rosane Minghim is a lecturer at the School of Computer Science and Information Technology, UCC. Before that she was an Associate Professor at the University of São Paulo, Brazil, where she was involved in teaching and research for over 30 years. Her has a BSc in Computer Science (University of São Paulo), an MSc in Electrical Engineering (University of Campinas), a PhD in Computer Studies (University of East Anglia – UK) and continues to collaborate with researchers in Computing and Application areas in Brazil, Peru, USA, Canada and Europe, where she visits frequently.  She is an adjunct professor at University of São Paulo and Dalhousie University, Canada.

Her main field of research is Visual Analytics, which comprises visual techniques for data analysis and for support in building and understanding classification models. Her projects involve the subjects of  Visualization and Artificial Intelligence as well as applications of data analysis, such as document, images, soundscape ecology for environment monitoring, systems biology, medical records, and others.

Current PhD project proposal:

Novel approaches for AI and visualization of soundscape ecology data for environment monitoring.

Monitoring natural environments via sound, both on the surface and underwater, has been at the centre of new developments to support geographical and ecological studies, from sustainable exploration of the land and oceans to understanding climate change. Recordings made for long periods of time can be used in tackling a very large variety of problems, such as diversity evaluation, detection of target species, verification of the impact of human activity, and monitoring the impact of climate change, to mention a few. While the application and adaptation of AI and ML techniques to these problems have been gaining momentum, much more research is necessary to define how they can be adapted to each specific problem and what the best algorithms and techniques are to draw different observations from the same data (sound recordings). Novel approaches are required on an urgent basis.

This project is meant to develop the next generation of AI models and visualization strategies to support the science of soundscape ecology for sustainable activities, such as renewable energy and ocean exploration. The student will start by studying and evaluating previously developed methods to new problems and new data, then to develop effective and fast approaches to advance AI in soundscape ecology. The candidate, while working at UCC, will interact with partners in the USA (Purdue University), Northern Ireland (Ulster University), Brazil (USP and UNESP) and at MaREI – SFI Research Centre for Energy, Climate and Marine research and Innovation, Cork.

OTHER TEAM MEMBERS

Professor Claire Connolly

CRT in AI Supervisor

Claire Connolly is Professor of Modern English at University College Cork and Head of the School of English and Digital Humanities. She was PI of the interdisciplinary IRC-funded project, Deep Maps: West Cork Coastal Cultures and is currently project lead for Ports, Past and Present, funded by the European Regional Development Fund via the Ireland Wales Programme. Across both projects she has developed research interests in digital technologies and their role in preserving, visualising and communicating cultural heritage. 

Professor Boualem Benatallah

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Prof. Boualem Benatallah is a full professor of computing at Dublin City University (DCU, Ireland) since Jan 2022. He is a fellow of the IEEE. His main research interests are developing fundamental concepts and techniques in service Web services middleware, business process automation, quality control in crowdsourcing services, automated and crowdsourced training data curation, intelligent and AI-augmented services, conversational cognitive services. He has published more than 300 refereed papers including more than 100 journal papers. His work is highly cited (over 23,800 citations, h-Index: 67, according to Google School). Most of his papers appeared in very selective and reputable conferences and journals. He is frequently invited to give keynotes and seminars at international conferences, workshops and PhD schools. Prof. Benatallah has been general and PC chair of a number of international conferences. He has been guest editor of several special issues for reputable international journals. He is a member of the steering committee of BPM (Business Process Management) and ICSOC (Int. Conference on Service Oriented Computing) conferences. He is member of the editorial board of numerous international journals including ACM Transactions on Web and IEEE transactions on services computing. He is a member of the Executive Committee of IEEE Computer Society’s Technical Committee on Business Informatics and Systems. He has built a strong set of international relationships with leading researchers and practitioners in his field, and multiple productive collaborations with internal universities, industry and government organizations.
He supervised over 35 research (30 PhD and 5 Masters by Research) students to completion as principal or joint supervisor. He was also associate supervisor of several research students. Professor Benatallah has had over 21 years as a senior lecturer, associate professor, professor and then Scientia professor at UNSW Sydney (Australia) before joining DCU. Earlier in his academic career, he was also an academic at Queensland University of Technology and James Cook University (Australia). He was a member of the team (comprising multiple university, government, and industry partners) that constructed the successful bid for the Smart Services CRC (Cooperative Research Centre, Australia, 2008-2013). He was research leader of the data curation foundry research stream at the Data to Decisions CRC (Australia, 2017-209). His research attracted a large amount of competitive grant income, including ARC (Australian Research Council) Discovery Projects, ARC Linkage Projects) and ARC Linkage, Infrastructure, Equipment and Facilities, ARC International Awards and several other Australian government and European Union competitive grants and networks. He held visiting professor positions at several prestigious research institutes and universities including INRIA-LORIA, Trento University (Italy), Clermont Ferrand, University of Lyon, Paris Dauphine University (France). He obtained a PhD in computer science from Grenoble University (France).

Dr. John McCrae

CRT in AI Supervisor

I am a lecturer above-the-bar at the Data Science InstituteInsight Centre for Data Analytics and ADAPT centre at the National University of Ireland Galway and the leader of the Unit for Linguistic Data. I am the coordinator of the Prêt-à-LLOD project and work package leader in the ELEXIS infrastructure. My research interests include the following:

  • Ontologies, lexicography and the lexicon-ontology interface
  • Collaborative development and publishing of language resources
  • Big data and data science
  • Linked data and the Semantic Web
  • Machine translation and multilingualism
  • Machine learning methods for NLP
  • Digital Humanities
  • Under-resourced languages

I obtained my PhD from the National Institute of Informatics in Tokyo under the supervision of Nigel Collier and until 2015 I was a post-doctoral researcher at the University of Bielefeld in Bielefeld, Germany in Prof. Philipp Cimiano’s group, AG Semantic Computing.

OTHER TEAM MEMBERS

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.

OTHER TEAM MEMBERS

Professor Gregory Provan

CRT in AI Supervisor

Gregory Provan is a Professor of Computer Science at UCC. His research interests include machine learning, systems modeling and control. In particular, his recent work has focused on deep learning and deep reinforcement learning. Prof. Provan is the director of the SFI Spoke on Autonomous Vehicles, and this is one of his key application areas.

Dr. Brian Davis

CRT in AI Supervisor

Brian Davis is an Assistant Professor at the School of Computing, DCU. Previously, he was a Lecturer in Computer Science at Maynooth University and Research Fellow, Adjunct Lecturer and Research Unit Leader at the Science Foundation Ireland (SFI) funded INSIGHT Centre for Data Analytics, NUI Galway (NUIG) for four years and led the Knowledge Discovery Unit.   He also coordinated a 3-year Horizon 2020 Innovation Action – SSIX – Social Sentiment Financial Indexes (Grant No 645425). His core expertise intersects with Natural Language Processing (NLP) and Ontology development. Specific research interests include: offensive language detection, Data2Text NLG,  Knowledge Base population from text.

He has reviewed several conferences and journals in the field of Semantic Web and NLP over the years i.e., EMNLP, COLING. ACL, NAACL, ESWC, ISWC, LREC,NLDB, SEMANTICs and JNLE, LRE, JWS, ACM Surveys.  He has over eight years research experience in Text Analytics, Information Extraction and the intersection with NLP for ontology development and access.  His current research interests include exploring pipelined neural architectures for i) data/knowledge -to-text Natural Language Generation (NLG) systems and ii) relation extraction and/or event extraction

PUBLICATIONS

Professor Mike Hinchey

CRT in AI Supervisor

Professor Mike Hinchey is the former Director of Lero and Professor of Software Engineering at the University of Limerick. Prof Hinchey was previously Director of the Software Engineering Laboratory at NASA Goddard Space Flight Centre in Greenbelt, Maryland. He remains as a consultant to NASA. His work with NASA was implemented in various space projects and will be incorporated in future missions. Particular areas of software research for Professor Hinchey include Formal Methods, Autonomous Systems and Software Reliability.

PUBLICATIONS