جست‌وجوی استاد و پژوهشگر

• Explainable Artificial Intelligence (XAI)
• Counterfactual Reasoning
• Machine Learning
• +۴ مورد دیگر

Prof. Mark Keane has served as Chair of Computer Science at University College Dublin since 1998. A cognitive psychology expert with a PhD from Trinity College Dublin, his career spans multiple institutions including the University of London, Open University, Cardiff University, and TCD. He has held leadership roles such as Director of ICT at Science Foundation Ireland (2004-2006) and Director General at SFI (2006-2007), overseeing €700M+ research investments. His work focuses on explainable AI, counterfactual reasoning, and sustainable agriculture applications. BA (UCD), PhD (TCD) in Cognitive Psychology Over 200 publications, H-index 45, 10,800+ citations Key advisor for Ireland's €3.7B Science, Technology & Innovation Strategy His research explores counterfactual explanations , semi-factual reasoning , and XAI in domains like dairy farming and climate resilience. Recent work combines machine learning with cognitive models to improve grass growth prediction and mastitis detection . He also investigates surprise theory through computational models. As Vice-President of Innovation & Partnerships at UCD (2007-2009), he drove academic-industry collaborations. Current affiliations include the Insight Centre for Data Analytics, where he leads AI research teams advancing case-based reasoning and deep learning integrations for explainable systems.

Suchana Dattaمشاهده پروفایل

پژوهشگر ارشد

• Information Retrieval
• Natural Language Processing
• Digital Humanities
• +۳ مورد دیگر

Suchana Datta is a Research Fellow at the Insight Centre for Data Analytics . Her work bridges Information Retrieval and Artificial Intelligence , with a focus on query performance prediction (QPP) and causality-driven retrieval . She has contributed extensively to improving neural ranking models through relevance feedback and reproducibility studies. Research Highlights Developing novel frameworks for supervised and unsupervised QPP using deep learning and hybrid feature integration Advancing causality modeling in information retrieval systems Exploring temporal trends in 19th-century literature through computational analysis Pioneering work in cloud forensics with dynamic forensic frameworks Publication Trends Her recent work (2022-2025) emphasizes neural QPP models , reproducibility in IR experiments, and causality detection in query events. Earlier contributions (2016-2020) focus on cloud forensic frameworks like DCF and causal analysis in retrieval systems.

Saritha Unnikrishnanمشاهده پروفایل

مدرس

• Computer Vision
• Artificial Intelligence
• Medical Imaging
• +۵ مورد دیگر

Dr. Saritha Unnikrishnan serves as a Lecturer in Computing and Principal Investigator in AI-driven Computer Vision at Atlantic Technological University (ATU) Sligo, Ireland. She maintains multiple research affiliations across the institution, including the Health and Biomedical Research Centre (HEAL) , the Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE) , and the Precision Engineering Materials and Manufacturing Research Centre (PEM Research Centre) . Dr. Unnikrishnan's research spans computer vision , medical imaging , and artificial intelligence applications with significant focus on healthcare and industrial quality assessment. Her work demonstrates strong interdisciplinary connections between computer science, biomedical engineering, and pharmaceutical sciences, particularly in the areas of micrograph analysis , brain tumor characterization , and AI-driven diagnostic solutions . Analysis of her recent publications reveals a clear trajectory toward applying AI techniques to solve complex problems in medical imaging and industrial applications. Her work increasingly focuses on deep learning approaches for image analysis, with notable contributions in glioma characterization , emulsion stability assessment , and educational technology solutions . Ireland's National AI Challenge 2024 award recipient Dr. Unnikrishnan has demonstrated exceptional grant acquisition capabilities, securing over €2 million in research funding to lead multiple national and EU projects. She has led major enterprise-funded AI research initiatives, including an AI-enabled computer vision solution licensed to GSK . Her collaborative work extends to European COST Actions and cross-border AI initiatives, highlighting her significant impact in the European research landscape. As Principal Investigator across multiple research centers at ATU Sligo, Dr. Unnikrishnan directs work in the Health and Biomedical Research Centre, the Mathematical Modelling and Intelligent Systems for Health and Environment initiative, and the Precision Engineering Materials and Manufacturing Research Centre, where she bridges computer science with practical healthcare and industrial applications.

• Urban transportation and spatial planning
• Environmental noise pollution
• Strategic noise mapping and health impacts
• +۳ مورد دیگر

Enda Murphy is Professor and Head of Planning at University College Dublin’s School of Architecture, Planning and Environmental Policy, where he directs the Professional Diploma in Foundations of Sustainable Development and leads the university’s core working group on SDG engagement. A Fulbright-EPA Scholar and visiting professor on five continents, he sits on the editorial board of PLOS ONE and the UN-SDSN SDG Academy High-Level Advisory Council. Education: BA – Trinity College Dublin Post-Graduate Diploma – Trinity College Dublin PhD – Trinity College Dublin Research interests integrate quantitative spatial planning and environmental assessment: urban land-use/transport sustainability modelling, strategic noise mapping and health-impact quantification, SDG benchmarking and index development, and critical analyses of neoliberal governance. His work has produced over 120 publications and three books, advancing policy-relevant metrics for Europe and the USA. Recent articles (2021-25) chart a coherent trajectory: construction of peer-based SDG indices for the USA, EU and Ireland; evaluation of CNOSSOS-EU noise models for Irish roads and railways; estimation of transport-noise health burdens (ischemic heart disease, annoyance, sleep disturbance); and exploration of COVID-19 lockdown noise reductions and cognitive effects in older adults. Awards & honours: Best Paper Award, AESOP 2020 RTPI Research Excellence Award 2015 – Early Career commendation Fulbright-EPA Scholar 2014-15 Geographical Society of Ireland Book of the Year shortlist 2014 He chairs the Irish Transport Research Network, advises Una Europa’s Sustainability & Climate Committee, and welcomes graduate research enquiries in urban planning, environmental noise and SDG governance.