جست‌وجوی استاد و پژوهشگر

Mark Campbellمشاهده پروفایل

مدرس ارشد

• Esports
• Cognitive Neuroscience
• Performance Metrics
• +۳ مورد دیگر

Dr. Mark Campbell serves as a Senior Lecturer at the University of Limerick and Director of the Esport Science Research Lab within Lero, the Science Foundation Ireland Centre for Software Research. His primary focus involves the scientific analysis of esports performance through the development and validation of key performance indicators. His research explores neurocognitive characteristics of expertise in skilled performers using advanced methodologies including eye tracking, pupillometry, near-infrared spectroscopy (NIRS), and electroencephalography (EEG). This interdisciplinary work integrates cognitive psychology, neuroscience, and human-computer interaction to decode the mental processes underlying elite esports performance. As a Science Foundation Ireland Funded Investigator (SFI-FI), Dr. Campbell leads research projects examining the intersection of software systems and human performance in competitive gaming environments. No information is available regarding student supervision activities. The Esport Science Research Lab under his direction provides a specialized facility for empirical esports research, equipped with state-of-the-art biometric and neuroimaging technologies to analyze cognitive and physiological responses of esports athletes during competition.

• Artificial Intelligence
• Machine Learning
• Recommender Systems
• +۳ مورد دیگر

Dr. Derek Bridge is a Senior Lecturer in the School of Computer Science & Information Technology at University College Cork (UCC). With over 30 years of experience in AI research and education, he specializes in recommender systems and case-based reasoning. His work focuses on explanations in AI, promoting diversity and serendipity in recommendations, and developing interactive recommender systems. Founding member of the ACM Conference on Recommender Systems Combines research with research-led teaching, recognized for teaching excellence Affiliated with the Insight Centre for Data Analytics Scientific Awards: He has won multiple best paper prizes at ACM conferences and twice received teaching excellence awards.

• 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.

• Machine Learning
• Natural Language Processing
• Network Analysis
• +۳ مورد دیگر

Dr. Derek Greene is an Assistant Professor at the School of Computer Science, University College Dublin, and a Funded Investigator at the Insight Centre for Data Analytics and the VistaMilk Research Centre. His research spans machine learning, natural language processing, and network analysis, with a focus on interdisciplinary applications in cultural analytics, smart agriculture, and political science. Dr. Greene has published over 60 research papers at international conferences and journals. His work includes developing methods for natural language processing , network analysis , and deep learning applied to diverse domains such as literary text mining, dairy industry monitoring, and political communication analysis. He leads projects integrating machine learning into cultural analytics, enhancing agricultural practices, and modeling policy agendas. The articles in his Google Scholar profile highlight a trend toward explainable AI , synthetic data generation , and network-based modeling . Key sub-fields include counterfactual explanations , transformer-based frameworks , temporal analysis of historical texts , and interdisciplinary knowledge transfer . His work bridges machine learning with applications in cultural studies , agriculture , and political science . Dr. Greene collaborates with institutions like the Insight Centre for Data Analytics and the VistaMilk Research Centre , integrating academic research with industry and policy needs. His funded investigator roles reflect ongoing support for applied research in data analytics and agricultural technology.

• Human-Computer Interaction
• Accessibility
• Auditory Interfaces
• +۳ مورد دیگر

Dr Ian Pitt is a Lecturer in Usability Engineering and Interactive Media at the School of Computer Science & Information Technology, University College Cork. He earned his D.Phil. from the University of York, UK, and held a research fellowship at Otto-von-Guericke University, Magdeburg, Germany, before joining UCC in 1997. Education: D.Phil. from University of York, UK His research focuses on multi-modal human-computer interaction, particularly the integration of speech and non-speech sound in interfaces, and the design of accessible systems for blind and visually-impaired users. He leads the Interaction Design, E-learning and Speech (IDEAS) Research Group at UCC. The IDEAS group explores applications in diverse domains, emphasizing auditory feedback and inclusive technology design.

Hyowon Leeمشاهده پروفایل

استادیار

• Human-Computer Interaction (HCI)
• Interaction Design
• User Experience (UX)
• +۳ مورد دیگر

Hyowon Lee is an Assistant Professor at Dublin City University , specializing in Human-Computer Interaction (HCI) and interaction design. His research emphasizes user experience, user-interface design, and usability in novel applications, leveraging experimental multimedia technologies and interaction platforms. He has designed over 50 groundbreaking applications and contributed to more than 150 peer-reviewed publications. Email: hyowon.lee@dcu.ie

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.

Cathy Ennisمشاهده پروفایل

مدرس

• Plausible Animation
• Virtual Games
• Perceptually-driven Computer Graphics
• +۲ مورد دیگر

Dr. Cathy Ennis is a Lecturer in the School of Computer Science at Technological University Dublin (TU Dublin), where she has taught for 5 years. She delivers modules at undergraduate and postgraduate levels and supervises student research projects across all academic levels. Education: PhD in Computer Science, University of Dublin, Trinity College (2010) – Thesis: Plausible Crowd and Group Formations MSc in Cognitive Science, University College Dublin (2007) – First Class Honors BEng in Electronic Engineering, NUI Maynooth (2005) – Second Class Honors, Grade One Her research explores perceptually-driven techniques for virtual character animation, focusing on behavioral plausibility in game environments. Key interests include computational models for crowd simulations, graphics optimization for human perception, and applied gaming solutions for educational/training contexts. She integrates principles from computer graphics, cognitive science, and electronic engineering in her work. Dr. Ennis currently supervises or co-supervises multiple PhD candidates and guides MSc dissertation students. She leads research within the Applied Social Computing Research Group, concentrating on interactive virtual environments.

• Electroacoustic Music
• Audiovisual Composition
• Acousmatic Music
• +۴ مورد دیگر

Gordon Delap is an Associate Professor in the Department of Music at Maynooth University, operating within the Faculty of Arts and Humanities. An acclaimed audiovisual artist and electroacoustic composer from Donegal, Ireland, Delap maintains an active research profile with international collaborations spanning Europe and the Americas. His institutional affiliations include both current and past positions at: Maynooth University (current primary appointment) Nadine Arts Centre, Brussels (resident artist) Edinburgh University (resident artist) Technische Universitaet Berlin (resident artist) SCRIME, University of Bordeaux (resident artist) Delap's research explores the frontiers of sound technology and artistic expression through three interconnected domains: Electroacoustic composition focusing on spatial audio diffusion and acousmatic traditions Physical modeling synthesis developing novel digital instruments Audiovisual integration creating immersive multimedia experiences His recent publications (2021-2025) demonstrate consistent exploration of spatial sound design, with 85% of works utilizing multichannel formats. Compositional themes frequently examine transformation metaphors (insect metamorphosis, elemental states) through spectral processing techniques. Performance contexts show strong presence at international electroacoustic festivals in Europe and Latin America. Delap has received recognition through competition placements including: Finalist, Contemporanea Festival (2018) Finalist, Metamorphoses Competition (2018) His collaborative technical research includes the NESS Project (Large-scale physical modeling synthesis), documented in the Computer Music Journal. Current creative practice continues to investigate spatial audio applications through festival commissions and gallery installations.

• Electroacoustic Composition
• Computer Music
• Sensor Technology
• +۴ مورد دیگر

Dr. Iain McCurdy is an Assistant Professor in the Department of Music at Maynooth University. A composer originally from Belfast, his career includes international residencies at EMS (Stockholm), NK (Berlin), and ZKM (Karlsruhe). His work has been commissioned by the Arts Council of Northern Ireland, Sonic Arts Network, and Walter Fink Preis, and performed globally. His research explores: Electroacoustic composition and computer music Sensor technology integration in musical interfaces Hardware hacking for creative applications Visual reinforcement in instrumental composition He actively promotes open-source software in his teaching and creative practice. Dr. McCurdy's publication record includes co-editing 'The Csound Journal', focusing on computer music synthesis and programming. His scholarly output reflects consistent engagement with contemporary music technology and interdisciplinary approaches to composition. While not currently leading a formal lab, his work involves developing innovative human-computer interfaces for musical expression. He teaches across undergraduate and graduate programs in music technology at Maynooth University.