جستجوی استاد راهنمای دانشگاهی

• Extended Reality
• Virtual Reality
• Augmented Reality
• +۷ مورد دیگر

Dr. Kata Szita serves as an Assistant Professor of Multimedia at the School of Communications. Her expertise spans extended reality technologies, human-computer interaction, and the psychological impacts of virtual environments on human behavior and cognition. Her research delves deep into understanding how virtual and augmented reality experiences affect human-to-computer and human-to-human interactions. She investigates the cognitive and neural processes involved when users engage with virtual environments, particularly focusing on the use of avatars and XR-manipulated bodies. Her work also examines social behaviors in virtual spaces and the ethical dilemmas surrounding artificial digital agents and personal data collection in XR environments. Dr. Szita currently leads interdisciplinary and cross-sector research projects aimed at developing accessible and adaptive immersive technologies. Her collaborative efforts extend to studying cognitive processing of realism in mixed reality, virtual identities, and youth behavior in virtual environments. Her research approach combines theoretical frameworks with practical applications, contributing significantly to the understanding of immersive media experiences. Her extensive publication record from 2017-2025 demonstrates a consistent focus on emerging themes in XR research. The articles reveal an evolution from early smartphone-based viewing studies to sophisticated analyses of metaverse environments, presence measurement methodologies, and the psychological impacts of virtual identities. Her work bridges cognitive psychology, media studies, and technology development, establishing her as a leading voice in understanding human experience within digital and virtual contexts.

• Machine Learning
• Time Series Analysis
• Text Mining
• +۷ مورد دیگر

Dr. Georgiana Ifrim is an Associate Professor at the School of Computer Science, University College Dublin , where she serves as Director of Graduate Research and Co-Lead of the SFI Centre for Research Training in Machine Learning (ML-Labs). She holds concurrent appointments as an SFI Funded Investigator at the Insight Centre for Data Analytics and VistaMilk SFI Research Centre . Her academic journey includes postdoctoral research at Insight Centre, Cork Constraint Computation Centre (4C), and Aarhus University's Bioinformatics Research Centre (BiRC). Education: BSc in Computer Science, University of Bucharest, Romania MSc and PhD in Informatics, Max-Planck Institute for Informatics, Germany Dr. Ifrim specializes in scalable predictive modeling for diverse applications including: Sequence learning (DNA analysis, time series) Real-time prediction for streaming data (news/social media, energy) Interpretable machine learning models Knowledge graph exploitation (WordNet/Yago, Naga) Wearable sensor data analysis (sports science, health monitoring) Energy price forecasting for sustainable systems Her recent publications focus on time series explainability (TSHAP, tsCaptum), multivariate analysis (scalable channel selection), and healthcare applications (fall detection, walking speed estimation). Key contributions include open-source tools like SEQL (sequence learner) and Twitter-Topics (event detection). Scientific Awards: Winner of SNOW@WWW14 Data Challenge As Director of Graduate Research, she oversees advanced academic training while leading funded projects at the intersection of machine learning , real-time analytics , and domain-specific applications in agriculture, healthcare, and digital journalism. Her research group maintains active GitHub repositories with open-source implementations.

• Political Science
• Development Studies
• Comparative Politics
• +۷ مورد دیگر

Michelle D'Arcy is an Associate Professor in the Department of Political Science at Trinity College Dublin. Her research focuses on state capacity, property rights, taxation, and development in Africa and early modern Europe. She leads projects such as 'Credible Enforcement before Credible Commitment' and 'Devolution and Local Democracy in Kenya,' funded by the Swedish Research Council and the Swedish International Centre for Local Democracy. Her work explores institutional sequencing, democratic governance, and the impact of historical state structures on modern policies. Education: Details not explicitly provided in the text. Research Interests: Dr. D'Arcy investigates how historical institutional frameworks shape contemporary political and economic outcomes. Key themes include state-building, taxation systems, devolution processes, and gender dynamics in state formation. Her work bridges comparative politics, development studies, and historical analysis. Publications: Her recent work emphasizes cadastres' role in economic growth, gender in early modern state formation, and taxation in sub-Saharan Africa. These studies highlight interdisciplinary approaches, combining historical data with contemporary case studies. Awards: Trinity Creative and Visual Arts Fund Award (2020) Equality Fund Award (2018) Political Science Association of Ireland Prize for Excellence in Teaching and Learning (2016) Grants: Swedish Research Council (2014-2018), Swedish International Centre for Local Democracy (2013-2015) Dr. D'Arcy collaborates on initiatives to improve local democracy and accountability in sub-Saharan Africa, particularly in Kenya. Her research underscores the interconnectedness of historical governance structures and modern socio-economic challenges.

• Perceptually guided graphics
• Virtual characters and crowds
• Virtual reality
• +۴ مورد دیگر

Cathy Ennis is an Assistant Professor in the Department of Computer Science at Maynooth University, Ireland, specializing in perceptually guided graphics and virtual reality. She is actively involved in research and teaching, with affiliations to the ADAPT Centre and D-REAL SFI Centre for Research Training. Education: BEng in Electronic Engineering, Maynooth University MSc in Cognitive Science, University College Dublin PhD in Computer Graphics, Trinity College Dublin PG Dip in Higher Education Teaching and Learning, DIT Research Interests: Dr. Ennis's research centers on creating realistic virtual humans and crowds, exploring multisensory perception in VR, and applying these technologies in serious games and interactive systems. Her work integrates AI, HCI, and immersive technologies to enhance user engagement and learning. Her recent publications reflect a strong focus on virtual character realism, VR-based education, and machine learning applications in animation and interaction. Notable themes include speech-animation realism, cultural VR experiences, and reinforcement learning for character control. Scientific Awards: Best Paper Award, IEEE VR 2022 Teaching and Supervision: Dr. Ennis currently teaches CS401 (Machine Learning and Neural Networks) and CS261 (Multimedia Technology). She is actively seeking PhD students and collaborators interested in VR, games, and virtual characters, particularly using machine learning for gesture generation and engagement. Labs and Teams: She is a Funded Investigator with the ADAPT Centre and D-REAL SFI Centre for Research Training, contributing to interdisciplinary research in AI, HCI, and immersive technologies.

Paul Maherمشاهده پروفایل

دانشیار

• Social Psychology
• Political Attitudes
• Epistemic Emotions
• +۶ مورد دیگر

Paul Maher is an Associate Professor at the University of Limerick's Department of Psychology and Centre for Social Issues Research. His research focuses on emotions, attitudes, and political orientation, particularly the role of epistemic emotions in shaping political polarization and group identity. He investigates disillusionment as an affective response to meaning-threatening events and its link to ideological rigidity and nostalgic tendencies. His work employs bipartite network visualizations to map political attitude clusters, with notable contributions during the early stages of the COVID-19 pandemic analyzing how public health attitudes predict behavioral outcomes. Maher holds a PhD awarded in 2017. Education: PhD in Psychology (2017) Key Research Areas: Political Psychology, Epistemic Emotions, Attitude Networks, Misinformation, Identity Dynamics Collaborations: Extensive work with institutions including the University of Limerick's Centre for Social Issues Research and international teams on computational social science models. His recent studies explore how social norms and opinion-sharing behaviors reinforce group identities, with applications in understanding polarization during crises. He has contributed to UN Sustainable Development Goals related to education and societal resilience through his work on trust in science and pandemic responses. Publications highlight interdisciplinary approaches, integrating agent-based modeling, network analysis, and experimental psychology. His work on disillusionment's role in Brexit and Trump phenomena demonstrates real-world policy relevance.

• Augmented Reality
• Virtual Reality
• Mixed Reality
• +۶ مورد دیگر

Abey Campbell is an Assistant Professor in Computer Science at the School of Computer Science, University College Dublin. He holds roles such as Deputy Programme Director for Computer Science, Director of UCD VR Lab, and 1st Year Stage Coordinator. His research focuses on Augmented Reality (AR), Virtual Reality (VR), Mixed Reality (MR), and Multi-Agent Systems with applications in education, healthcare, and human-computer interaction. Campbell has coordinated modules like Augmented and Virtual Reality, Computer Graphics, Game Development, and Mobile Computing. He earned his BSc and PhD in Computer Science from University College Dublin. His work explores touchless interaction technologies, machine learning agents in STEM education, and ethical implications of emerging technologies. Notable contributions include RenderKernel for real-time rendering systems and studies on AR's role in decision support systems. Campbell has secured a grant from Enterprise Ireland for collaborative design documentation and participates in professional activities like peer reviewing for Frontiers in Virtual Reality and IEEE conferences. His collaborative projects include developing AR tools for veterinary training and evaluating immersive VR experiences in nursing education. The UCD VR Lab under his direction focuses on applied research in spatial computing and interactive systems.

Sabin Tabircaمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Data Analytics
• Algorithmics
• +۶ مورد دیگر

Dr. Sabin Tabirca is a Senior Lecturer at the School of Computer Science and Information Technology, University College Cork (UCC). He holds a BSc from Bucharest University and a PhD from Brunel University. His research focuses on Artificial Intelligence, Data Analytics, Algorithmics, Interactive Media, and HCI, with applications in computational cancer modeling, mobile health (mHealth), and parallel computing. He coordinates MPT Activities and is affiliated with the CRR Group and BCRI Centre. Notable awards include UCC's President Award for Innovation in Teaching (2007), IT@Cork Leader Award (2008), and UCC Staff Recognition Award (2013). His teaching includes modules like Parallel and Grid Computing, Mobile Application Design, and Graphics for Interactive Media. Dr. Tabirca has supervised over 70 MSc students and numerous PhD candidates, many of whom now hold academic and industry roles globally. His research includes developing mHealth apps for cystic fibrosis patients, 3D cancer visualization tools, and frameworks for mobile parallel computing. Publications span mHealth design pipelines, cancer prediction models, and mobile gaming for health education. He actively engages in interdisciplinary projects, blending computer science with medical and biological applications.

Gregorio Iglesiasمشاهده پروفایل

استاد

• Marine Renewable Energy
• Coastal Engineering
• Wave Energy Conversion
• +۵ مورد دیگر

Prof. Gregorio Iglesias is a Professor of Marine Renewable Energy at University College Cork (UCC) and Honorary Professor of Coastal Engineering at the University of Plymouth. His expertise lies in Marine Renewable Energy and Coastal Engineering, with a focus on wave and tidal energy systems, offshore wind integration, and coastal protection strategies. He has secured over €12M in research funding as Principal Investigator and authored/edited key texts such as Wave and Tidal Energy (Wiley) and Ocean Energy and Coastal Protection (Springer). Education: BEng (Civil Engineering, 1992), MEng (Civil Engineering, 1993), PhD (Engineering, 2001). Research Interests: Advanced modeling of wave energy converters, floating offshore wind turbines, coastal erosion mitigation, and climate change impacts on marine energy resources. His work bridges theoretical advancements and practical applications, including coasts like the Port of Gijón (Spain) and the Shannon Estuary. Recent publications highlight climate-driven renewable energy transitions, multi-hazard coastal resilience frameworks, and techno-economic assessments of offshore systems. He chairs the IEC Standards panel for wave energy device testing and serves as Subject Editor for Energy (Elsevier) . Professional Activities: Lead of Marine Renewable Energy research at MaREI (Ireland), former Head of the COAST Engineering Group at Plymouth (2012–2018), and member of PIANC’s Universities Consortium. His work has generated 5,459 citations with an h-index of 41. Teaching: Delivers modules on Ocean Energy (NE4003/NE6005) and Hydraulics (CE3007).

Aoife Gowenمشاهده پروفایل

استاد

• Hyperspectral Imaging
• Sustainable Transport Policy
• Critical Thinking in Education
• +۴ مورد دیگر

Professor Aoife Gowen is a leading academic at the UCD School of Biosystems & Food Engineering , specializing in hyperspectral imaging and its applications across medicine, food safety, and engineering. Her research, supported by prestigious European Research Council (ERC) funding, investigates water molecule interactions with surfaces to improve bone graft materials and develop innovative diagnostic tools for prostate cancer. She also leads Science Foundation Ireland (SFI)-funded projects on hyperspectral monitoring of bacterial growth for food safety. Beyond technical research, Professor Gowen has developed computational tools now integrated into commercial chemical analysis software. Her work spans interdisciplinary domains, including sustainable transport policy, critical thinking education, and promoting gender diversity in engineering. As a key figure in the Women on Walls initiative, she has enhanced visibility for women in STEM fields. Her recent publications focus on spectral technologies for food quality, microplastics characterization, and medical diagnostics, reflecting her commitment to addressing global challenges in health and sustainability. Scientific Awards: ERC Grant for water-surface interaction research Professor Gowen actively collaborates with European networks and industry partners, driving advancements in hyperspectral imaging applications. Her lab’s efforts to bridge computational science with real-world chemical analysis have positioned her as a pioneer in invisible chemistry visualization, impacting medicine, food, and environmental engineering.

• Cultural Theory
• Gender Studies
• Digital Humanities
• +۷ مورد دیگر

Gerardine Meaney is a Full Professor of Cultural Theory in the School of English, Drama and Film at University College Dublin (UCD). She serves as Director of the UCD Centre for Cultural Analytics and is Principal Investigator on a European Research Council (ERC) funded project on European Migrants in the British Imagination. Her academic leadership includes a previous role as Director of the UCD Humanities Institute (2011–2016). Research Interests: Her scholarship spans gender, migration, national identities, cultural memory, and digital humanities. She integrates critical theory with innovative digital methodologies to analyze literature and culture. Her work emphasizes feminist theory, Irish women’s writing, modernism, and the intersection of technology and humanities. The most recent publications reflect a strong trend toward computational and digital approaches in literary analysis, particularly using word embeddings and semantic networks to study gender in 19th-century fiction. Her research also continues to engage deeply with Irish cultural identity, modernist literature, and feminist literary recovery. Scientific Awards and Honors: Member of the Royal Irish Academy Visiting Fellow, Institute for Advanced Studies, University of Edinburgh (2021–2022) Advising and Grants: She has supervised PhD students as a thesis supervisor and led significant research projects, including ERC and Irish Research Council grants such as 'Contagion, Biopolitics and Migration in European Cultural Memory' and 'Inventing and Re-Inventing the Irish Woman: External Influences on Gender Construction 1760–2005'. Labs and Teams: She leads the UCD Centre for Cultural Analytics, which supports digital humanities research, and has contributed to digital outreach projects including an iPad app on James Joyce’s 'The Dead' and the Irish Virtual Research Library and Archive.

Catherine Hurleyمشاهده پروفایل

استاد

• Data visualization
• Data science
• Machine learning
• +۴ مورد دیگر

Catherine Hurley is a Professor of Statistics at Maynooth University's Faculty of Science & Engineering, where she serves as Subject Head of Statistics in the Department of Mathematics and Statistics. She maintains strong affiliations with both the MU Hamilton Institute and the National Centre for Geocomputation, positioning her work at the intersection of statistics, data science, and computational methods. Dr. Hurley is a leading expert in data visualization with primary research interests in visualization techniques for data science and machine learning problems. Over her distinguished career, she has authored and contributed to numerous software packages, beginning with Data Viewer (1987), a predecessor to GGobi, Quail (1987-2000), and many R packages including condvis2, vivid (2021), and Bartvis (2022). Her work has significantly advanced the field of statistical graphics and model visualization. Her recent research has focused on conditional visualization for statistical models, with several publications on the condvis package and related tools that enable researchers to explore complex machine learning models through interactive visual interfaces. She has also made substantial contributions to dendrogram seriation, pairwise comparison visualization, and variable importance displays, creating numerous R packages that have become essential tools for statisticians and data scientists. Her 2023 publications include significant contributions to Bayesian additive regression trees and variable importance visualization for machine learning models. Dr. Hurley has held significant leadership roles in the statistical community, serving as Vice-President (2017-2019) and President (2019-2021) of the Irish Statistical Association. She also served as Editor-in-Chief and Editor of the R Journal from 2019 to 2023, playing a crucial role in advancing open-source statistical software development and dissemination. Her work demonstrates a consistent pattern of developing practical visualization tools that address real-world challenges in statistical analysis and machine learning interpretation. The progression from early work on statistical graphics infrastructure to recent innovations in model exploration reflects her sustained commitment to making complex statistical concepts accessible through visualization.

Kevin Murphyمشاهده پروفایل

استادیار

• Organizational Psychology
• Human Resource Management
• Cognitive Psychology
• +۱۲ مورد دیگر

Kevin Murphy is an Assistant Professor at the University of Limerick, affiliated with the Faculty of Science and Engineering and the Department of Electronic and Computer Engineering. His research spans interdisciplinary domains, combining organizational psychology, cognitive science, and statistical methodology. His work focuses on validity generalization, performance management systems, and the intersection of psychometric testing with workplace dynamics. Recent publications explore diffusion model generalization, substance use interventions in nursing, and age stereotypes in personnel decisions. Selected trends from his research include: Organizational psychology: Performance appraisal, meta-analysis, and statistical power. Cognitive and psychometric studies: Complex problem-solving, emotional intelligence, and validity evidence. Healthcare applications: Maggot debridement therapy, Parkinson’s medication timing, and pandemic recovery strategies.

Debbie Gingمشاهده پروفایل

استاد

• Digital Media Studies
• Gender and Sexuality Politics
• Online Misogyny and Hate Speech
• +۵ مورد دیگر

Debbie Ging is a Professor of Digital Media and Gender in the School of Communications at Dublin City University (DCU), located on the Glasnevin Campus. She holds editorial roles with journals Men and Masculinities and New Media and Society , and is affiliated with the National Anti-Bullying Research and Resource Centre and the Institute for Future Media, Democracy and Society (FuJo). Her research focuses on gender, sexuality, and digital media, with particular attention to online misogyny, incel radicalization, and youth digital rights. Her work explores digital hate speech, anti-feminist movements, and educational strategies to combat gender-based violence. Recent projects include cross-national studies on sexual violence prevention workshops and longitudinal analyses of extremist language in online spaces. She collaborates internationally, addressing policy implications for digital citizenship and AI ethics. Debbie currently supervises four PhD students investigating far-right online movements, journalist harassment in India, LGBTQ+ digital literacy, and incel ideology dynamics. Her contributions span over 50 peer-reviewed articles, emphasizing methodological innovation in studying online subcultures.

Ellen Rusheمشاهده پروفایل

استادیار

• Deep Learning
• Sign Language Recognition
• Domain Adaptation
• +۳ مورد دیگر

Dr. Ellen Rushe is an Assistant Professor at Dublin City University's School of Computing specializing in deep learning with limited supervision. Her research develops solutions for audio-visual data challenges including sign language recognition (SignOn Project), novelty detection, and domain adaptation for sports analytics. Previously a Research Fellow at Trinity College Dublin and Postdoctoral Fellow at UCD, she holds an MSc in Computer Science from UCD and BA in Music Technology from Maynooth University. Research focuses on: Limited-label learning paradigms Sign language recognition for low-resource languages Domain adaptation in sports video analysis Novelty detection in data streams

Sinéad Smythمشاهده پروفایل

دانشیار

• Health Psychology
• Educational Psychology
• Neurodiversity
• +۵ مورد دیگر

Dr. Sinéad Smyth is an Associate Professor and Head of the School of Psychology at Dublin City University . She holds a BA and PhD in Psychology, a Postgraduate Diploma in Sleep Medicine, and a Postgraduate Certificate in Higher Education Practice, and is a Senior Fellow of the Higher Education Academy (SFHEA). As Chair of the MSc in Psychology and Wellbeing, she integrates behavioral science into educational frameworks. BA in Psychology PhD in Psychology Postgraduate Diploma in Sleep Medicine Postgraduate Certificate in Higher Education Practice Her research bridges health psychology , educational contexts , and neurodiversity , with a focus on: Sleep health in clinical and non-clinical populations Inclusive education for neurodivergent individuals (ADHD, Autism) Behavioral interventions using gamification and mindfulness Adverse Childhood Experiences (ACEs) and their mitigation Assistive technology for autistic communities Recent publications highlight her work in sleep science , neurodiverse support systems , and game-based behavior change . She has contributed to systematic reviews on group contingency interventions and psychological flexibility, while her applied work includes tools like the LifeSeeker retrieval system. Awards include being shortlisted for the Irish Software Association’s Outstanding Academic Achievement in 2015. She collaborates on grants involving autism resource development and educational technology , and her teaching portfolio includes modules on experimental behavior analysis and neurodivergent support .