Prof. Lucy Hederman is an assistant professor in the School of Computer Science and Statistics at Trinity College Dublin. She is a member of the SFI funded ADAPT Centre, where she leads the Heterogeneity and Interoperability challenge. Her main research interests are in clinical decision support systems and clinical research data integration. She is currently working with TCD nephrologist Prof Mark Little on the data and knowledge engineering for the PARADISE project to predict flares of ANCA-vasculitis, and the FAIRVASC project which seeks to integrate vasculitis data across 8 clinical registries. She is working on the patient data platform for the Precision-ALS project, which is harnessing AI to provide new insights into motor neuron disease. She coordinated the PRTLI MediLink (Linking Records to Knowledge) project, and was a collaborator on the NDRC funded PaJR (Patient Journey Record) project, on the HRB funded Center for Primary Care Research, and on the EU funded FP7 TRANSFoRm project, which (amongst other aims) developed approaches to facilitate the deployment of diagnostic decision support in general practice in Europe.

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.

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.

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.

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.

andrea.mulligan@tcd.ie

Conor McGinn is an Assistant Professor in Robotics and Design at Trinity College Dublin (TCD) where he conducts research at the frontiers of human-robot interaction, artificial intelligence and design. He is a principal investigator at the SFI ADAPT Research Centre, the SFI Centre for Research Training in Artificial Intelligence, and at the Trinity Centre for Biomedical Engineering. Conor has received prestigious honours including the Trinity Research Excellence Award (2020), Best Paper Award at the IEEE/ACM International Conference on Human-Robot Interaction (2020), Provost Teaching Award (2019), and the Registrar’s Award for Civic Engagement (2018). In 2019, Conor was named by MIT Technology Review as one of the leading innovators in Europe under 35, and in 2020, JCI Ireland selected him as one of the ten outstanding young Irish persons of the year.

Conor is also a co-founder at Akara, a TCD spin-out with a mission to develop technologies to empower frontline workers in the healthcare industry. Their first product is a UV disinfection robot called Violet, which uses advanced artificial intelligence to disinfect hospitals faster and more effectively than was previously possible. Violet has been featured by leading international publications including Time magazine and IEEE Spectrum, and Forbes recently described it as “key to reopening after the pandemic

Prof. Owen Conlan is a Full Professor in Computer Science in the School of Computer Science and Statistics and is the Co-director of the Trinity Centre for Digital Humanities. He is recognised as an international leader in the area of personalisation research. The vision that underpins his research is: advancing knowledge-based, visualisation and artificial intelligence techniques to support improved human cognition, engagement and understanding of complex information. His current work focusses on proactive personalisation, where autonomous intelligent digital assistants act on user’s behalf. He has brought leadership to field of personalisation (e.g. General Chair of UMAP 2015 and Hypertext 2021) and has made a significant scholarly contribution to the field (190+ publications; h-index of 29; ~3300 citations). He has secured approximately €10.8m in competitive research and industry funding as principal investigator and has an extensive network of international multi-disciplinary collaborators through the European Commission projects he has coordinated and in which he performed both coordinator and scientific leadership roles. Owen is also one of seven founding PIs of ADAPT, a €50 million (co-funded by 25+ industry partners and Science Foundation Ireland) Global Centre of Excellence for Digital Content Technology, led from Trinity College Dublin. He is also a co-applicant, co-PI and Strand Leader of the Science Foundation Ireland ADAPT research centre and in the recently awarded ADAPT II proposal (securing a further €32 million in funding for the centre from 2021 to 2026). Owen leads the Digitally Enhanced Engagement strand in ADAPT which is underpinned by his research vision for personalised proactive agency, with a responsibility for a budget of over €5 million (representing a third of the centre’s research platform budget). He supports a team of twelve researchers and has successfully supervised seventeen PhD candidates to completion. Owen also has significant experience collaborating with industry partners, having worked with Huawei, Mazda, Deutsche Bank, and over 15 other industry partners. Owen has also brought his research to market having supported three successful spin-out, which were underpinned by three international patent applications.