جستجوی استاد راهنمای دانشگاهی

Marija Bezbradicaمشاهده پروفایل

دانشیار

• Educational Analytics
• Computational Finance
• Complex Systems
• +۲ مورد دیگر

Dr. Marija Bezbradica serves as Associate Professor and COMBUS Programme Board Chair at Dublin City University's School of Computing. Her research bridges computational finance, educational analytics, and complex systems modeling. Key research areas include financial risk modeling using Bayesian methods, educational data mining for programming courses, and healthcare analytics for infection control. She holds affiliations with ADAPT (FinTech research), ARC-SYM (complex systems modeling), and Lero (software engineering). Recent publications demonstrate cross-disciplinary applications, spanning cryptocurrency market analysis, hospital readmission prediction, and synthetic data generation for medical conditions. Work frequently employs machine learning, graph-based methods, and advanced statistical modeling. No information is available regarding awards, supervised students, or specific laboratory facilities.

Yalemisew M Abgazمشاهده پروفایل

استادیار

• Data Literacy
• Data Analytics
• Software Engineering
• +۴ مورد دیگر

Yalemisew M Abgaz is an Assistant Professor at Dublin City University's School of Computing within the Faculty of Engineering and Computing. He coordinates the university-wide Data Literacy and Analytics module and researches semantic web technologies, software engineering, NLP, and computational creativity. His publications demonstrate interdisciplinary approaches, including semantic enrichment of cultural heritage, microservices decomposition, educational technology, and bias in NLP. Recent work examines gender bias in Amharic language models and microcurriculum-as-a-service design. Abgaz leads the ChIA project applying semantic tools to cultural data at the Austrian Academy of Sciences and collaborates with Lero Research Centre on software architecture. He mentors PhD candidates in computer vision applications for cultural heritage and microservice vulnerability analysis.

• Natural Language Processing
• Information Retrieval
• Recommender Systems
• +۲ مورد دیگر

Dr. Annalina Caputo is an Assistant Professor in the School of Computing at Dublin City University and Academic Lead for the part-time MSc in Artificial Intelligence program. Since 2022, she serves as Assistant Head for Research Management. She is a funded investigator in the ADAPT and I-Form research centres, leading the Proactive Experience & Agency challenge. Her research spans Natural Language Processing, Information Retrieval, and Machine Learning, with applications in personalization systems. Dr. Caputo holds a Ph.D. in Computer Science from the University of Bari Aldo Moro, where she researched Semantics and Information Retrieval. She previously held research positions at Trinity College Dublin as an EDGE COFUND Marie Curie Fellow and at the University of Bari. She has participated in numerous evaluation campaigns including CLEF, SemEval, and WSDM Cup. Her current research focuses on Intelligent Information Access, Text Representation, Temporal Dynamics in IR, Personalized Retrieval, Semantic IR, Quantum IR, Cross-Language Retrieval, Question Answering, and Recommender Systems in NLP and Additive Manufacturing contexts. Dr. Caputo serves as Guest Editor for the Special Issue on Knowledge Graphs for Search and Recommendation and is General Co-Chair for ECIR 2023. Her recent publications demonstrate strong focus on transformer-based recommender systems, NLP applications in healthcare/manufacturing, and interactive retrieval systems.

Luca Rossettoمشاهده پروفایل

استادیار

• Multimedia Retrieval
• Virtual Reality
• Human-Computer Interaction
• +۲ مورد دیگر

Dr. Luca Rossetto serves as Assistant Professor in the School of Computing within Dublin City University's Faculty of Engineering and Computing. His research focuses on advanced multimedia retrieval systems and interactive technologies. Primary research domains include multimedia information retrieval, virtual reality interfaces, and multimodal systems design. Recent work explores human-computer interaction paradigms for video retrieval systems and knowledge representation frameworks for large-scale multimedia datasets. Publications demonstrate consistent focus on retrieval system architecture and evaluation, with emerging emphasis on VR-based interfaces and multimodal learning techniques. Recent papers frequently address efficiency optimization and user-centered design in complex information systems. No awards or supervised students are documented. Laboratory affiliations include the vitrivr multimedia retrieval engine development team.

• 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.