Prof. Anya Belz is Full Professor of Computer Science at Dublin City University's School of Computing and Science Lead at ADAPT Research Centre. A leading NLP researcher with PhD-level expertise, she specializes in natural language generation, evaluation methodologies, and multimodal systems. Recipient of multiple best paper awards and NAACL Test of Time Award nomination. Research innovations include foundational work on statistical language generation (deployed in weather forecasting systems), comparative evaluation frameworks, vision-language integration, and reproducibility quantification. Current EPSRC-funded ReproHum project coordinates 20 global labs studying evaluation consistency. Achievements : Developed industry-deployed generation systems for accessibility applications Pioneered cross-modal alignment techniques for image description Authored 100+ publications spanning generation, evaluation, and reproducibility
Professor Fionnuala Dillane is a leading scholar in nineteenth-century British literature and culture, periodical studies, memory studies, and gender, based at the School of English, Drama and Film, University College Dublin. She holds the academic rank of Professor and is actively engaged in research, teaching, and academic leadership. She currently serves as Academic Director of the UCD Writing Centre and Chair of the UCD Press Editorial Board, and previously served as Associate Dean for Arts and Humanities (2017–2020). Her collaborative research spans institutions including Ghent University, Newcastle University, and the University of Iceland. Her research interests include: Nineteenth-century British literature and culture Periodical studies and media history George Eliot and Marian Evans Memory studies and trauma Gender and sexualities Contemporary crime fiction Her recent publications explore affect in periodical encounters, editorial identities, transnational periodical research, and the literary afterlives of George Eliot. The trends in her work reveal a sustained engagement with print culture, narrative form, emotional communities, and the politics of memory. She is currently editing the Handbook of Transnational Periodical Research (Brill, 2026). Her scientific awards include: University Award for Outstanding Contribution to Student Learning, UCD (2017) Shortlisted for European Award in Teaching Excellence (2017) College of Arts and Humanities Outstanding Contribution to Student Learning (2017) Dillane has secured significant research grants, including from the Irish Research Council for her project on George Eliot and the Periodical Press, 1846–60 , and on The Future of Data Humanities . She has supervised doctoral students such as David Mitchell and mentors emerging scholars in periodical studies and trauma fiction. She has pioneered innovative teaching initiatives, including the first internship programmes for UCD Arts and Humanities undergraduates and the development of the UCD Writing Centre, now permanently funded. She is also deeply involved in national and international advocacy for the humanities, serving on editorial and advisory boards such as the Journal of Victorian Culture , the Memory Studies Association, and the European Society for Periodical Research.
Dr. Jon Gruda is an Assistant Professor and Lecturer in Organisational Behaviour at Maynooth University's School of Business. He holds a PhD in Management from emlyon Business School (France) and a joint Dr. rer. nat. in Psychology from Goethe University Frankfurt. His research focuses on relational leadership, dark leadership traits, anxiety in the workplace, and personality psychology, with a strong emphasis on integrating machine learning and AI methodologies. Gruda has been recognized with prestigious awards, including selection for the Lindau Nobel Laureates Meeting in Economic Sciences (2020). His interdisciplinary work includes predicting anxiety and personality traits via social media data analysis. He serves as an Associate Editor for journals like Personality and Individual Differences and Frontiers in Psychology . Education PhD in Management, emlyon Business School (2012–2017) Dr. rer. nat. in Psychology, Goethe University Frankfurt (2012–2017) MSc in Affective Neuroscience, Maastricht University (2018) MSc in Management Research, emlyon Business School (2012–2014) Triple MSc in Management, City University London/ESCP Europe (2010–2012) BSc in International Business & Management, University of Groningen (2007–2010) Research Interests Gruda’s work bridges leadership studies, personality psychology, and data science. Key areas include: Dark leadership traits (e.g., narcissism, Machiavellianism) and their organizational impacts Machine learning applications for detecting anxiety and personality traits via social media Cross-cultural studies on leadership perceptions and attachment orientations Impact of physiological/psychosocial factors on leadership effectiveness Publications & Projects Recent projects include predicting state-level health outcomes linked to narcissism and developing algorithms to track anxiety using Twitter data. Over 20 peer-reviewed articles since 2017 highlight his contributions to organizational behavior and computational social science. Awards 7th Lindau Nobel Laureates Meeting on Economic Sciences (2020) Benedictine University Award (Academy of Management, 2020) Wharton Global Faculty Development Program (2020) Grants & Collaborations Gruda leads projects on pro-environmental behavior and collaborates with the National Care Experience Programme on healthcare feedback analysis. Seed funding includes €301,930 for computational text analytics in healthcare. Labs & Teams Interdisciplinary research collaborations span psychology, data science, and public health, with a focus on applying machine learning to organizational challenges.
Rozenn Dahyot is a Professor of Computer Science at Maynooth University within the Faculty of Science & Engineering. She previously held roles as Assistant and Associate Professor in Statistics at Trinity College Dublin (2008-2021) and Lecturer in Computer Science (2005-2008). Her research interests bridge Digital Signal Processing, Computer Vision, Machine Learning, and Statistical Analysis. She organized the European Signal Processing Conference (EUSIPCO2021) in Dublin and served as President of the Irish Pattern Recognition and Classification Society (IPRCS) from 2014-2020. Her work spans topics like semantic scene understanding, CNN compression, and medical image segmentation. Key contributions include advancements in graph-based image analysis, reinforcement learning optimization, and AI-driven systems for disaster management. Dahyot is a member of IEEE, ACM, and EURASIP, contributing to both academic and industrial collaborations.
Dr. Andrew Hines is a Researcher at the School of Computer Science, University College Dublin, specializing in machine learning applications for signal processing in speech, audio, and video domains. His work focuses on Quality of Experience (QoE) modeling, speech quality assessment, and immersive media analysis. He has held leadership roles in European COST Actions like Qualinet and CryptoAction, and previously worked in industry as a Director of Engineering. University: University College Dublin Role: Director of Research, Innovation and Impact Key Collaborations: IEEE (Senior Member), Audio Engineering Society (Ireland) Research interests center on machine learning for QoE optimization, audio-visual integration, and healthcare applications like heart sound classification and stroke rehabilitation. His recent publications explore self-supervised learning, neural speech codecs, and contextual factors in speech/audio quality assessment. Scientific contributions include awards like IEEE Senior Membership, and his work spans both academic research and industrial engineering in finance and aviation sectors. He leads the QxLab research team at UCD and develops open-source platforms such as WARP-Q and AQP for quality metrics.
Jennifer Edmond is Associate Professor of Digital Humanities and co-director of the Trinity Center for Digital Humanities at Trinity College Dublin, where she also directs the MPhil in Digital Humanities and Culture. She holds a PhD in Germanic Languages and Literatures from Yale University and specializes in applying advanced methods and infrastructures for arts and humanities research. Her research focuses on Digital Humanities, Research Infrastructures, Open Science, Cultural Heritage, and Knowledge Technologies. She has developed significant expertise in European research policy, having coordinated the €6.5m CENDARI FP7 project and participated in numerous EU initiatives including PARTHENOS, Europeana Cloud, and the Computational Literary Studies Infrastructure (CLS Infra). Dr. Edmond maintains an active publication record exploring digital scholarly editing, privacy in literary texts, open science practices, and cultural heritage narratives. Her recent work demonstrates a strong focus on the intersection of technology and democracy, digital ethics, and innovative methodologies for humanities research. Awards and Honors: Named one of Ireland's five 'Champions of EU Research' (2012) She served as President of DARIAH-EU's Board of Directors (2018-2022) and represented the organization on the European Commission's Open Science Policy Platform. Dr. Edmond has contributed to strategic developments at national and institutional levels, while actively promoting public outreach through various media formats and art installations.
Dr. Selja Seppälä is a Lecturer in Business Analytics within the Department of Business Information Systems at Cork University Business School, University College Cork. She specializes in Natural Language Processing, applied ontology, terminology, and corpus studies with applications across multiple domains including linguistics, legal informatics, biomedical informatics, and education. Her research focuses on developing AI technologies that combine Large Language Models and other NLP techniques with curated ontologies to enhance data quality, transparency and trustworthiness in information systems. Dr. Seppälä currently leads the AI-LIEN project, which uses AI-powered technologies for learning analytics, and collaborates on projects investigating the impact of AI on organizations and legislative review. Natural Language Processing (NLP) Applied Ontology and Terminology Corpus Studies AI Technologies for Information Systems Large Language Models integration Legal Informatics applications Dr. Seppälä's scholarly contributions include 43 publications in international outlets and 27 open-source research artifacts. Her work has secured approximately €500,000 through competitive research grants, demonstrating significant impact in her field. Marie Skłodowska-Curie Career-FIT Fellow (2019-2022) Dr. Seppälä serves on the editorial board of Applied Ontology (IOS Press) and as Communication Co-officer and Substitute Auditor for the International Association for Ontology and its Applications (IAOA). She actively contributes to academic service as a reviewer for journals including the European Journal of Information Systems and Terminology, and regularly participates in program committees for international conferences focused on computational linguistics, natural language processing, applied ontology, and financial technology applications. At UCC, she contributes through the development of the CUBS Canvas Template and membership in the CUBS Digital Learning & Teaching Committee.
David Lillis is an Associate Professor in the School of Computer Science at University College Dublin (UCD). His research focuses on Natural Language Processing (NLP), Artificial Intelligence (AI), and their applications in legal and forensic contexts. He leads projects like CeADAR (Ireland’s Applied AI Center) and the Transpire project, collaborating with organizations such as Corlytics and the Department of Enterprise, Trade and Employment. He holds adjunct roles as a Guest Professor at Beijing University of Technology’s Data Mining and Security Lab and has been a Fulbright Scholar at the University of New Haven’s Cyber Forensics Research and Education Group. Education: B.A. (Hons) in Law and Accounting, University of Limerick Higher Diploma in Computer Science, UCD M.Sc., Ph.D. in Computer Science, UCD Professional Certificate in University Teaching & Learning, UCD Research Interests: Legal AI, digital forensics, machine learning, multi-agent systems, and information retrieval. Recent work includes NLP for regulatory analysis, crop yield prediction via neural networks, and AR-driven decision support systems. Grants & Projects: Principal Investigator: Transpire (AI Platform for Regulation) SFI Funded Investigator: CONSUS (Crop Optimization) PI: CeADAR Technology Centre Teaching roles include Deputy Programme Director for Software Engineering at Beijing-Dublin International College (BDIC) since 2014. Labs & Groups: UCD Forensics and Security Research Group, ML-Labs (SFI Centre for ML Training), and the Data Mining and Security Lab (BJUT).
Michela Bertolotto is a Professor in the School of Computer Science at University College Dublin (UCD). Her research focuses on spatio-temporal data modeling, GIScience, and applications of geospatial technologies in fields like urban planning and health informatics. She leads a research group and has supervised 19 PhD and 8 MSc students. Her work includes innovations in LiDAR-based flood risk visualization, semantic web quality assurance, and open-source spatial data analysis. Bertolotto has held roles including College Lecturer at UCD (2000–2006) and postdoctoral research positions at the University of Maine and University of Genoa. Education: BSc and PhD in Computer Science from the University of Genoa (1993, 1998). Professional achievements include over 100 publications, 24 grants (e.g., Science Foundation Ireland-funded Urban ARK project), and editorial roles at journals like the International Journal of Geographical Information Science. Awards include the UCD President's Research Award (2001) and NATO Postdoc Fellowship (1998–1999). Research interests span map personalization, volunteered geographic information (VGI), and geospatial data quality. Her lab develops tools like the LAMSkyCam (low-cost sky imaging system) and dynamic flood risk viewers. She chairs international conferences and serves on program committees for GIScience events.
Dr. Caoimhe Nic Lochlainn holds the rank of Professor at Dublin City University's Fiontar & Scoil na Gaeilge, the university's School of Irish and Celtic Studies. She earned her BA Joint Honours in Irish and French, MA in Irish, and PhD in Irish at Queen's University Belfast. Her research focuses on translation methodologies, children's literature, and cultural history with a particular emphasis on Irish-language texts. Her academic contributions include co-editing major volumes such as Laethanta Gréine & Oícheanta Sí (2013) and Thar an Tairseach (2014), as well as publishing extensively on children's literary culture and folklore adaptation. She has also authored children's books like Scéalta le hInsint don Ghealach (2018). Recent publications explore representation in Irish-language YA fiction (2025), Scottish cultural depictions in Irish prose (2023), and Gaelic translation challenges (2022). Awards include the 2025 Research Ally designation and 2019 IBBY Honour List recognition. Current supervision includes three PhD candidates: Dara De Poire, Eilis Neary, and Mohamed Yazjeen. She actively participates in academic committees such as the Irish Association for the Study of Children's Literature (EASCL) and serves on Rádio na Life's board.
Dr. Lucy Hederman is an Associate Professor in Computer Science at Trinity College Dublin (TCD), affiliated with the O'Reilly Institute. Her research focuses on leveraging data and documents to support clinical decision-making, particularly in healthcare knowledge work. She has led interdisciplinary projects addressing data integration for rare diseases (e.g., ANCA-vasculitis, MND) and socio-technical challenges in adopting patient-generated health data (PGHD) into clinical practice. Dr. Hederman has secured over €xxxk in research funding and leads the Heterogeneity and Interoperability (H&I) challenge in the SFI-funded ADAPT 2 Centre. Her educational background includes advanced studies in computer science and healthcare informatics, though specific degree details are not explicitly stated in the text. She has supervised 4 PhDs, 2 research MScs, and co-supervised 6 PhDs, while currently mentoring 8 graduate students. Her career includes founding TCD spinouts PBOC and BIOLOGIT, which align with her research in health informatics and technology. Key research interests include: Interdisciplinary collaboration between clinicians, researchers, and technologists Data harmonization for multi-national clinical studies (e.g., FAIRVASC, Precision-ALS) Development of clinical decision support systems (CDSS) Design of mobile health (mHealth) tools for underserved populations Recent work emphasizes FAIR principles for healthcare data and socio-technical factors influencing PGHD adoption. She has contributed to over 70 peer-reviewed publications and actively participates in initiatives like the EU-funded TRANSFORM project and HRB Primary Care Research Centre. Dr. Hederman’s professional memberships include the Irish Computer Society, ACM, and Healthcare Informatics Society of Ireland. Her research has impacted healthcare practices in Ireland, with many MSc student projects influencing local health services.
Arash Joorabchi is an Assistant Professor at the Department of Electronic and Computer Engineering, Faculty of Science and Engineering, University of Limerick, Ireland. His research focuses on the intersection of machine learning, educational technology, and digital library systems, with particular emphasis on automated assessment, text mining, and knowledge organization techniques. Research Trends: Analysis of his publications reveals sustained contributions to automated short-answer grading, Arabic text classification, and semantic integration of Wikipedia with academic resources. Key methodologies include sentence transformers, hybrid text representation models, and citation-based indexing techniques. Technical Domains: His work spans natural language processing, educational data mining, metadata management, and semantic web technologies. Specific applications include Q&A platform analysis, library resource discovery, and curriculum development systems.
Dr. Sheila Castilho is an Assistant Professor at the School of Applied Language & Intercultural Studies, Dublin City University (DCU). She holds a PhD from DCU (2016) and a Master's from the University of Wolverhampton and University of Algarve. Her expertise lies in machine translation (MT), post-editing, and translation technology evaluation. She co-leads the New Trends in Translation Technology (NeTTT’22) conference and chairs DCU's Master in Translation Studies and Master in Translation Technology programs. Education: Licenciatura em Letras Inglês/Português (UNIOESTE University, Brazil) Master in Natural Language Processing (University of Wolverhampton & University of Algarve) PhD in Translation Technologies (Dublin City University) Research: Focuses on document-level MT evaluation, post-editing strategies, and user-centric MT assessment. Leads the DELA project and contributed to TraMOOC/iADAATPA initiatives. Published over 40 articles and co-edited 'Translation Quality Assessment: From Principles to Practice' (Springer, 2018). Grants & Projects: DCU PI for DELA (Document-level Evaluation) PRINCIPLE project (EU Low-resource MT) ELE (European Language Equality) initiative Labs/Teams: Active in ADAPT Centre (DCU) and collaborates with international NLP/MT communities (ACL, EMNLP, WMT).
Olga Ryazanova is a Lecturer in Management at Maynooth University School of Business and currently serves as Social Sciences Associate Dean of Strategy and Governance. She holds a PhD from University College Dublin and an MA from the State University Higher School of Economics. Her research focuses on strategic management of higher education institutions, particularly the interplay between individual academic careers and organizational outcomes. Key areas include scientific performance measurement, societal impact governance, and doctoral education. Dr. Ryazanova has secured significant funding through projects like the SFI-funded '(In)visible work: understanding and measuring research translation into policy' (2024-2026) and the EU H2020 CHAMELEONS project. She has published in prestigious journals such as Academy of Management Learning & Education , Research Policy , and Journal of World Business , earning awards including the Global Forum Award (2014, 2018) and Carolyn Dexter Award finalist status (2016). Teaching : Courses include Business Models, Innovation Management, and Quantitative Research Methods for PhD students. Editorial Roles : Associate Editor of Academy of Management Learning & Education (2020-2026) and editorial board member for British Journal of Management and Research Policy . Leadership : Served as Secretary and Research Coordinator for the Academy of Management's Management Education & Development Division. Her research consistently addresses systemic challenges in academia, including career capital development, international mobility impacts, and equitable recognition of Global South scholars. She actively collaborates with institutions globally through projects analyzing research networks and doctoral employability.
Dr. Kevin N. Cawley is Senior Lecturer in Korean Studies and Director of the Irish Institute of Korean Studies at University College Cork since 2011. He is a founding member of the 'Society for the Study of Pre-modern Asia' at the University of Oxford and serves as editor of Korean Philosophy for the Stanford Encyclopedia of Philosophy. Originally from County Armagh, Ireland, he completed his undergraduate degree at Trinity College Dublin in French and Irish, and earned his Masters and PhD in Korean Studies from the University of Sheffield. Dr. Cawley's research focuses on Korea's intellectual history, examining philosophical and religious traditions through contemporary critical theory. His work explores the interplay between Buddhism and Neo-Confucianism, Christianity and Neo-Confucianism in the late 18th/early 19th century, and the complexities of translating religious concepts across East Asian languages and cultures. He has developed a unique methodological approach adapting Jacques Derrida's 'de-construction' to address inter-cultural translational challenges. His research also extends to gender and sexuality, ethnicity and identity in Korean contexts. His publications demonstrate significant scholarly impact, particularly his 2019 book Religious and Philosophical Traditions of Korea which reached No. 5 on Amazon's 'hot new releases' in religion and spirituality. His recent work has focused on transnational East Asian studies, Catholicism in pre-modern Korea, and contemporary Korean soft power. The publications show consistent engagement with both historical Korean thought and its contemporary relevance across multiple disciplines including religious studies, philosophy, gender studies, and cultural studies. Scientific Awards and Recognition: Korea Foundation Award for Korean Studies Language Program 2022-2024 Academy of Korean Studies: SEED Program - $120,000.00 One Asia Foundation Lecture Series: $40,000.00 Korea Foundation Fellowship for Korean Studies 2015-2017 $90,000.00 Dr. Cawley has secured over €400,000 in research funding throughout his career and has served as editor for multiple academic journals including the Irish Journal of Asian Studies and Asian Ethnicity . He has organized numerous international conferences, including the North American Korean Philosophy Association Annual Conference at UCC. His media engagement includes regular interviews with RTE, BBC, and Korean media outlets on Korean affairs, demonstrating his role as a public intellectual bridging academic scholarship and public understanding of Korea.
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