جستجوی استاد راهنمای دانشگاهی

• Machine Learning
• Deep Learning
• Recommender Systems
• +۷ مورد دیگر

Dr. Ruihai Dong is an Assistant Professor at the School of Computer Science, University College Dublin, affiliated with the Insight Centre for Data Analytics. His research bridges Machine Learning, Deep Learning, and Recommender Systems with significant applications in finance and medical imaging. Develops AI-driven solutions for financial markets and healthcare Collaborates with industry partners like Eagle Alpha and Samsung Funded by Enterprise Ireland for commercialization studies Research focuses on: Recommender systems (news, finance, conversational AI) Graph neural networks for financial risk modeling Medical imaging under limited labeling constraints Algorithmic transparency and ethical AI applications 3D CNNs & transformers for seismic analysis Large language models for multilingual evaluation Recent publications emphasize: Hybrid architectures for multimodal data Explainable AI techniques in financial and news domains Geometric deep learning for microstructure and seismic data Curriculum strategies in active learning Media bias mitigation frameworks Latent space modeling for asset embeddings Scientific contributions recognized through: Outstanding Research Award 2018 by UCD School of Computer Science Industry collaborations include work with: Eagle Alpha (financial analytics) SkillPages (data-driven platforms) Samsung (technology innovation)

Andy Donaldمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence
• Machine Learning
• Explainable AI
• +۳ مورد دیگر

Andy Donald is a Research Fellow and lead of the Applied Innovation Unit at Insight, University of Galway. His work focuses on automating AI/ML processes, explainable AI methods, surrogate modeling for computational systems, and real-world applications in cloud environments. Research Expertise Explainability & Ethics in AI/ML Multimodal Data Applications High-Volume Stream Analytics Knowledge Graph Construction Surrogate Modeling Industry Collaboration Leadership Andy collaborates with industry partners including Fidelity , Genesys , Connacht Rugby , Avaya , and Aró Digital to bridge academic research with scalable solutions.

• Sustainable Orchestration in Edge-Cloud Environments
• Multi-Cloud Workload Distribution
• Large Language Models (LLMs) Deployment
• +۳ مورد دیگر

Dr. Hadi Tabatabaee Malazi is an Assistant Professor at the University of College Dublin (UCD), leading the Sustainable Orchestration in Computing Continuum (SOC² Lab). He holds an Orcid identifier (0000-0002-2960-6896) and has extensive academic experience across institutions like Maynooth University, Shahid Beheshti University, and Trinity College Dublin. His research focuses on sustainable computing, edge-cloud continuum orchestration, AI/ML deployment (e.g., LLMs), and energy efficiency. He is a Senior Member of IEEE, serves as an Associate Editor for IEEE Access, and chairs the COST Action CA22151 (CYPHER) on decarbonizing energy-intensive industries. Education: PhD (2012): University of Isfahan (Computer Engineering) MSc (prior to 2012): University of Isfahan Research Visit (2010-2011): Delft University of Technology Research Interests: Sustainable edge-cloud systems, AI-driven workload optimization, carbon-aware resource management, distributed LLMs, and IoT interoperability. Key contributions include over 20 journal articles in IEEE, Elsevier, and Springer venues, with topics ranging from vehicular network security to smart city event processing. Professional Activities: Committee member of COST Action CA22151, IEEE Access Associate Editor, and Technical Program Committee member for IEEE conferences. Authored certifications on research leadership and research integrity from Epigeum. Labs/Teams: SOC² Lab (UCD), leading projects on edge-cloud sustainability and AI application deployment.

• Data Analytics
• Social Network Analysis
• Recommender Systems
• +۴ مورد دیگر

Neil Hurley is an Associate Professor and Head of School in the School of Computer Science at University College Dublin. He holds a BSc and MSc from University College Dublin and a PhD from Trinity College Dublin. Before academia, he worked at the Hitachi Dublin Laboratory from 1989 to 1999, leading research in parallel computing and knowledge-based systems. He joined UCD in 1999 and founded the Information Hiding Laboratory in 2001, focusing on digital content security. His research spans recommender systems, social network analysis, high-performance computing, and data hiding technologies. He has secured over €1 million in research funding from agencies like Enterprise Ireland and the EU. His teaching includes coordinating modules on Artificial Intelligence, Recommender Systems, and Computational Science. He has reviewed for journals such as IEEE Transactions on Image Processing and serves on the EMPS Graduate School Board. His recent work emphasizes scalable recommendation algorithms, privacy-preserving distributed systems, and strategic network analysis.

• Agent-Based Modeling
• Multi-Agent Systems
• Computer Science Education
• +۴ مورد دیگر

Seán Russell is an Assistant Professor in Computer Science at University College Dublin (UCD), affiliated with the School of Computer Science. He holds a BSc and PhD from UCD, as well as a Professional Diploma in University Teaching and Learning. His research spans agent-based simulation systems, multi-agent architectures, and computer science education. Notable contributions include work on hypermedia MAS, microservices for scalable simulations, and pedagogical strategies for non-native English speakers in CS1 courses. Education: BSc in Computer Science, University College Dublin PhD in Computer Science (details unspecified) Professional Diploma in University Teaching and Learning, University College Dublin Research Interests: Russell focuses on agent-oriented programming, distributed systems (microservices/REST), and innovative teaching methodologies. His work bridges theoretical agent architectures with practical applications like traffic simulation and waste management. Recent education-focused research addresses code quality in CS1, error message comprehension, and linguistic barriers for non-native English students. Grants & Awards: UCD College of Science Teaching Excellence Award (2022) OPTI-ROUTE Grant (2017–2018) Teaching & Learning Award (2021/2022) Teaching & Leadership: Coordinates modules in programming fundamentals (e.g., Intro to Programming 1, Object-Oriented Design) and serves as Vice Chair of the Ireland ACM SIGCSE Chapter. Supervised a PhD student (2019–2024).

• Transport Network Resilience
• Civil Engineering
• Probability Analysis
• +۷ مورد دیگر

Beatriz Martinez-Pastor is an Assistant Professor in the School of Civil Engineering at University College Dublin (UCD). Her roles include teaching and coordinating modules such as Transport Modelling, Transportation Engineering, and Civil Engineering Design Graphics. She holds a PhD from Trinity College Dublin and an MSc from the University of Cantabria, complemented by a Professional Certificate in University Teaching and Learning from UCD. Her research focuses on transport network resilience, particularly in quantifying system behavior under disruptions like natural disasters and cyber-physical attacks. Key areas include probabilistic analysis, data-driven modeling, and infrastructure vulnerability assessment. She has contributed to frameworks for evacuation planning, cyber-physical system robustness, and flood adaptation strategies. Her articles highlight advancements in accident analysis methods, cyber-physical resilience, and multi-objective optimization for disaster scenarios. Notable grants include the Horizon Europe-funded SETO project (2023–2026) and CAPABLE (2023–2024), addressing transport enforcement and community resilience. Martinez-Pastor has received the Excellence Award (2019) and serves on committees like the TRB Committee on Critical Infrastructures. Her work bridges academic research with practical applications in disaster management, cybersecurity, and sustainable infrastructure.

Mark Roantreeمشاهده پروفایل

استاد

• Graph Analytics
• Predictive Algorithms
• Climate Science
• +۳ مورد دیگر

Professor Mark Roantree leads the Data Engineering & Governance research challenge at Dublin City University's Insight Centre for Data Analytics. With €3.5M+ secured funding and 150+ publications, his multidisciplinary research develops analytical solutions for climate science, agriculture, health, and human performance. He has graduated 23 research students and currently supervises PhDs in graph analytics, climate modeling, and health data systems. Research applications include: Physics-informed neural networks for ecological modeling Sports analytics using wearable sensors Healthcare data integration for chronic diseases FAIR climate data management

Martin Craneمشاهده پروفایل

استاد

• Computational Finance
• Complex Systems
• Time Series Analysis
• +۱ مورد دیگر

Martin Crane is Professor and Head of School at Dublin City University School of Computing. Funded Investigator in ADAPT Centre, with PhD in Mechanical Engineering from Trinity College Dublin. Research spans computational finance, complex systems modeling, and high-performance computing applications. Key research areas: Time series analysis in finance/biology Complex systems in finance, immunology, and lifelogging Wavelet methods for market analysis Parallel computing for large-scale simulations Current projects examine cryptocurrency dynamics, healthcare analytics, and brain tumor segmentation using deep learning. Leads FinTech Fusion initiative exploring financial technology applications. Authored significant works on random matrix theory filters for portfolio optimization and agent-based HIV modeling.

Alessandra Mileoمشاهده پروفایل

دانشیار

• Stream Reasoning
• Neurosymbolic AI
• Explainable AI
• +۳ مورد دیگر

Alessandra Mileo is Associate Professor and Data Science Programme Chair at Dublin City University's Faculty of Engineering and Computing. As a Principal Investigator at the Insight SFI Research Centre for Data Analytics, her research focuses on neurosymbolic AI, explainability, and representation learning. Education includes an M.Sc. and Ph.D. in Computer Science from the University of Milan. Current research investigates methods combining knowledge-driven and data-driven AI approaches to enhance explainability and reduce bias in machine learning systems. Research leadership includes EU projects like CityPulse (IoT stream processing) and industry collaborations on Internet of Everything infrastructures. Teaches data science courses and supervises multiple PhD students.

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.

Muhammad Salman Pathanمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Sustainability
• +۵ مورد دیگر

Dr. Muhammad Salman Pathan is an Assistant Professor in the School of Computing at Dublin City University (DCU), part of the Faculty of Engineering and Computing. His academic journey includes a PhD in Software Engineering from Beijing University of Technology (2019), supported by the China Scholarship Council (CSC) scholarship, and a Marie Sklodowska-Curie COFUND Action fellowship (2020) at University College Dublin (UCD) as a Research Scientist. From 2022 to 2024, he was a Senior Postdoctoral Researcher and Team Lead on the EPA-funded CircAI project at Maynooth University. Education: PhD in Software Engineering, Beijing University of Technology (2019) Marie Curie Fellowship, University College Dublin (2020) Research Interests: Dr. Pathan focuses on AI applications in sustainability, digital health, telecommunications, and IoT security. His work bridges machine learning with real-world challenges, including weather forecasting, circular economy frameworks, and AI-driven solutions for agriculture and environmental protection. He has published over 40 peer-reviewed papers, achieving 600+ citations, and collaborates with industry partners like Irish Manufacturing Research and Circuleire. Publications & Impact: His recent work emphasizes AI’s role in sustainability, including digital twin technologies for circular economies and AI-enhanced agricultural productivity. He has also explored cybersecurity solutions for IoT systems, integrating blockchain and federated learning. Awards & Contributions: China Scholarship Council (CSC) Scholarship Marie Sklodowska-Curie COFUND Action Fellowship Guest Editor for journals like Electronics (MDPI) and Frontiers in Communications Teaching & Mentorship: He contributes to teaching and mentoring students at undergraduate and graduate levels, fostering academic and professional growth. His career also includes roles as a journal reviewer and conference organizer, advancing academic rigor in AI and communications. Labs & Collaborations: Central to his work is the CircAI project at Maynooth University, where he led efforts to apply AI for environmental sustainability. He continues to engage with interdisciplinary teams to address global challenges through innovative technical solutions.

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.

• Graphene
• Two-dimensional materials
• Spintronics
• +۵ مورد دیگر

Dr. Stephen Power is an Assistant Professor in the School of Physical Sciences at Dublin City University (DCU). He contributes to the Physics with Data Analytics programme under DCU Futures Initiative, focusing on theoretical condensed matter physics. His research emphasizes electronic, spin, and valley properties of two-dimensional materials and heterostructures. Before joining DCU in 2021, he earned a Ph.D. in Physics from Trinity College Dublin (TCD) in 2012 and held roles as a researcher and lecturer in Denmark, Spain, and Ireland. Education: Ph.D. in Physics (2012), Trinity College Dublin Research Interests: Graphene and two-dimensional materials Spintronics and valleytronics Quantum electronics and transport Computational physics Machine learning applications in materials science Publications: Recent work includes studies on graphene nanoribbons, heterostructure interfaces, strain effects in bilayer graphene, and neural network-based predictions of magnetic behavior. His research bridges theoretical modeling and experimental observations in nanoscale systems. Awards/Grants: No specific awards or grants mentioned in the provided texts. Lab/Teams: Involved in DCU’s School of Physical Sciences labs focusing on theoretical condensed matter physics and nanomaterials.

• Multimedia Networking
• Telecommunications
• Edge Computing
• +۳ مورد دیگر

Prof. Gabriel-Miro Muntean is a Professor at the School of Electronic Engineering, Dublin City University (DCU), Ireland. He holds a Ph.D. (2003) from DCU and B.Eng./M.Sc. degrees in Software Engineering from Politehnica University of Timisoara, Romania. He co-directs the DCU Performance Engineering Laboratory and is a Principal Investigator with Insight and Lero National Research Centres. His research focuses on multimedia networking, wireless/energy-aware communications, and technology-enhanced learning. Education: B.Eng. Software Engineering (Politehnica University of Timisoara, 1996) M.Sc. Software Engineering (Politehnica University of Timisoara, 1997) Ph.D. Electronic Engineering (DCU, 2003) Research Interests: Quality-oriented adaptive multimedia streaming Energy-efficient networking Personalized learning technologies 5G/6G network architectures Edge computing optimization Publications & Grants: Over 450 papers, 4 books, and 26 book chapters (H-index=53) EU Horizon 2020 projects: Coordinator of NEWTON, Lead in TRACTION Awards: IEEE Fellow (202X) IEEE Broadcast Technology Society Fellow Advising & Labs: Supervised 25 PhD students and 15 postdocs Co-director of DCU Performance Engineering Lab