جستجوی استاد راهنمای دانشگاهی

Dr. Shane McLoughlin is an Assistant Professor of Management Information Systems at Maynooth University's School of Business and co-director of the undergraduate Placement Program. He holds a PhD from University College Dublin (UCD), focusing on Information Social Capital and Human Information Behaviour. His research interests span socio-technical innovations, smart cities, and disruptive technologies like autonomous vehicles. He has collaborated with firms such as Intel and Dell, and his work has been recognized with the Kauffman Best Paper Award (2022). He is also a 2023-2024 MU Teaching and Learning Fellow exploring GenAI in education. Education: PhD, College of Social Sciences and Law, University College Dublin (UCD) Sponsored by HW Wilson Foundation Research Focus: Technology adoption and urban sustainability through experimentation platforms Smart city governance and data-driven innovation Academic-industry collaboration challenges Notable Contributions: Co-authored Co-creating for Context in the Transfer and Diffusion of IT (2022) Winner of Kauffman Best Paper Award (2022) for work on predictive maintenance servitization Consultant for EU/COE on youth digital inclusion Grants & Collaborations: SFI Project SPRING (2017–2020) on academic-industry partnerships Contributions to OrganiCity Experimentation-as-a-Service model Labs & Teams: Active in LERO (Irish Software Research Institute) and the Technology Adoption Group at Maynooth University.

• Social Informatics
• Human Information Behaviour
• Bibliometrics
• +۶ مورد دیگر

Dr. Patrick Rigot-Müller is a Lecturer in Operations & Supply Chain Management at Maynooth University School of Business. His research focuses on Sustainable Supply Chains, Maritime Transport, and Arctic Shipping. He leads the Supply Chain Management cluster in the Innovation Value Institute and coordinates the Sustainability and Climate Change research beacon. Education: PhD in Industrial Engineering from Mines de Paris, Master's in Scientific Management from Paris-Dauphine, and a degree in Electronic Engineering from Federal University of Rio de Janeiro. Research Interests: Ports, Logistics, Alternative Fuels, Circular Economy, and Digitalization in Supply Chains. Notable work includes Arctic shipping route analysis, carbon footprint optimization, and policy impact studies on maritime emissions. He has published in journals like Transportation Research Part A and Journal of Environmental Management. Industry Experience: Over 20 years consulting for companies like Total, L'Oréal, and Renault, specializing in supply chain strategy, logistics optimization, and digital manufacturing. Professional Roles: Guest Editor for Transportation Research Part A and Marine Policy. Serves on editorial review boards for multiple journals. Active in policy consultations (e.g., EU green corridors, UK shipping emissions). Outreach: Invited speaker at events like the MaynoothWorks CONNECT 2019 and European Commission workshops. Teaches courses on Sustainability, Quantitative Methods, and Global Supply Chain Management.

• Sustainable Supply Chains
• Maritime Transport
• Supply Chain Digitalization
• +۳ مورد دیگر

Assoc. Prof. John O'Sullivan is an Associate Professor and Head of School at the University of College Dublin's School of Civil Engineering. He is a Fellow of the UCD Earth Institute and a member of the UCD Dooge Centre for Water Resources Research. His expertise spans catchment hydrology, river hydraulics, fluvial processes, and coastal engineering. He leads major projects like ACCLIMATIZE (climate change modeling for coastal waters) and ECOSTRUCTURE (sustainable coastal defenses). O'Sullivan has over 100 publications and supervised 8 PhD/MSc students. He coordinates modules in Hydraulics, Professional Work Experience, and Computer Applications in Civil Engineering. Education: BA (Mathematics), Trinity College Dublin BAI (Engineering), Trinity College Dublin DPhil, University of Ulster MSc (Civil Engineering), Queen's University Belfast Professional Certificate in University Teaching & Learning, UCD Research Interests: Focus on water-sensitive urban design, sediment transport modeling, and microbial pollution in aquatic systems. His work integrates field measurements with machine learning for predictive models in coastal resilience and water quality forecasting. Grants & Projects: ACCLIMATIZE (EU Bathing Water Directive compliance) SWIM (real-time bathing water quality models) ECOSTRUCTURE (eco-friendly coastal defenses) RECONNECT (river barrier impact assessments) Professional Activities: Leadership roles in Engineers Ireland, including Chair of the Civil Engineering Division. Active in curriculum development, including a hybrid academic advising model praised for improving student engagement. Labs/Teams: Leads interdisciplinary teams in the Dooge Centre and Earth Institute, collaborating on projects like microplastic fate studies and antimicrobial resistance tracking in rivers.

• Environmental Engineering
• Water Resources Engineering
• Coastal Engineering
• +۴ مورد دیگر

Dr. Ciaran McNally is an Associate Professor in the School of Civil Engineering at University College Dublin (UCD). He holds a PhD in Civil Engineering from UCD (2001) and a Professional Diploma in Teaching & Learning (2015). His research focuses on advanced materials, including concrete durability, asphalt technology, fiber-reinforced polymers (FRP), and digital design methods like 3D printing and BIM. He has secured over €2 million in research funding, leading EU projects such as the Marie Curie Initial Training Network TEAM (€3.2M). Education: BE, PhD (Civil Engineering, UCD); Prof Dip University Teaching & Learning (UCD) Affiliations: Irish Concrete Society (Treasurer), Engineering Graduates Association Committees: College Executive Board, Safety Committee (School/College), UCD Covid-19 Consultative Committee His research interests span low-carbon concrete, eco-engineering for marine structures, and infrastructure asset management. Notable contributions include studies on reclaimed asphalt in pavements, bio-inspired optimization, and durability of GGBS blends. He coordinates modules like Advanced Materials and Group Design Projects, emphasizing practical engineering and sustainability. Recent articles highlight innovations in 3D-printed concrete, low-carbon materials, and steel stud behavior. McNally’s work bridges academic research with industry applications, promoting sustainable construction practices and lifecycle thinking.

• Civil Engineering
• Materials Science
• Construction Technology
• +۵ مورد دیگر

Asif Yar, PhD, is a researcher in the Department of Computing, focusing on deep learning, wireless sensor networks, and environmental monitoring. His work bridges machine learning and IoT technologies to address real-world challenges in sensor calibration and data accuracy. Research Themes : Deep learning methods, wireless sensor networks, extreme learning machines, environmental monitoring, and distributed optimization. Collaborations : Active in interdisciplinary research with affiliations in IIoT edge environments and air pollution monitoring systems. Citations : 1 citation (Scopus), with a h-index of 1. His recent publications highlight advancements in self-calibration algorithms for large-scale wireless sensor networks using deep learning and attention-based GRUs, alongside novel approaches like temporal fusion transformers for air pollution monitoring in IIoT edge environments. He also explores distributed optimization frameworks using Apache Spark for scalable systems. Asif Yar is currently accepting PhD students and contributes to the academic community through peer-reviewed conference publications and collaborative research projects.

• Deep Learning
• Wireless Sensor Networks
• Environmental Monitoring
• +۳ مورد دیگر

Audrey Dunn Galvin is a Lecturer at the School of Applied Psychology , University College Cork (UCC), with a dual appointment as an Honorary Research Fellow in the Department of Paediatrics and Child Health at Cork University Hospital. Her work bridges psychological medicine , food allergy , and celiac disease research. Key Roles : Director of the EYCS Degree Programme, member of the EuroPrevall consortium, and leader in initiatives like iFAAM and FARRP. Education : PhD in Applied Psychology, registered with the Psychological Society of Ireland (PSI) and British Psychological Society (BPS). Her research focuses on bio-psycho-social models for chronic disease, quality of life assessment , and psychoeducational interventions . She has developed questionnaires for food allergy impact and worldwide patents for predictive algorithms. Recent publications analyze depression narratives , long-COVID effects , and peanut allergy burden . She leads multicenter studies on allergen labeling and collaborates with institutions in the US, Europe, and Asia. Grants include funding from Enterprise Ireland , EU Framework Programs , and FARRP . She co-edited books like Risk Management for Food Allergy and Food Allergy: Experience and Coping .

• Psychological Medicine
• Food Allergy
• Celiac Disease
• +۷ مورد دیگر

Dr. Amirreza Kandiri is a Postdoctoral Research Fellow at the School of Civil Engineering, University College Dublin (UCD), where he conducts advanced research in transportation engineering, intelligent transportation systems (ITS), and infrastructure resilience. He earned his PhD at UCD, focusing on AI-driven traffic prediction and optimization under variable speed limits. He also holds an MSc in Construction Management and a BSc in Civil Engineering. Education: PhD, University College Dublin MSc, Islamic Azad University BSc, Buali Sina University His research centers on the application of machine learning and data analytics to solve critical challenges in civil and transportation engineering. He specializes in real-time traffic management, smart mobility, structural materials modeling, and remote sensing for infrastructure monitoring. His work integrates predictive modeling, optimization, and uncertainty analysis to enhance safety, efficiency, and sustainability in urban systems. The recent publications of Dr. Kandiri reflect a strong interdisciplinary trend combining civil engineering with artificial intelligence. His work spans intelligent traffic control using autonomous agents, deep learning for InSAR data analysis, and machine learning models for predicting concrete properties. These studies highlight a consistent focus on optimization, model accuracy, and real-world applicability across transportation and construction domains. Scientific Awards: 2024 Dean’s Award, UCD STEM Early Career Researchers’ Symposium Recognized for one of the most cited papers in Applied Sciences Dr. Kandiri has been actively involved in academic service, including peer reviewing for journals and serving on the UTSG 2025 organizing committee. He has contributed to teaching at both University College Dublin and Chang’an University in China. While no formal students are listed, his collaborative research involves multiple co-authors across disciplines. He has not received mention of grants, but his research output suggests involvement in funded projects related to smart infrastructure and sustainable materials. His work is closely tied to real-world applications, particularly on the M50 motorway in Dublin, and leverages platforms like Google Scholar, ResearchGate, and ORCID (0000-0001-8683-7984) for dissemination. He is part of a growing collaboration network in transportation and structural engineering research.

• Transportation Engineering
• Intelligent Transportation Systems (ITS)
• Infrastructure Resilience
• +۷ مورد دیگر

Dr. Anthony Ventresque is a Visiting Associate Professor at the University College Dublin, School of Computer Science , with a PhD in Computer Science from the University of Nantes & INRIA France (2008). He is also the Director of the TCD Complex Software Lab and a Senior Investigator with Lero, the SFI Irish Software Research Centre. MSc in Philosophy and Logic from the University of Nantes PhD in Computer Science from the University of Nantes & INRIA France His research focuses on Software Engineering , Genetic Programming , and Multi-objective Optimization , with applications to Autonomous Systems , Cloud Computing , and Sports Analytics . Recent publications highlight his work on grammar-obeying program synthesis using large language models, mutation testing for software quality, and domain adaptation for object detection in rugby data. His scientific awards include a Teaching Award from the UCD School of Computer Science in 2020. He has contributed to grants like Mutation Testing at Scale and Advancing Computational Archaeology , and his teaching activities encompass modules such as Big Data Programming and Operating Systems over multiple years. He leads the TCD Complex Software Lab , fostering interdisciplinary research and innovation.

• Software Engineering
• Artificial Intelligence
• Genetic Programming
• +۴ مورد دیگر

Professor Douglas Leith is the Chair of Computer Systems at the School of Computer Science and Statistics, Trinity College Dublin. His research spans online privacy (investigating data collection by Google/Apple devices and COVID-19 contact-tracing apps) and predictive analytics (machine learning for recommender systems and decentralized algorithms). Research Interests: His work includes privacy verification for digital ecosystems, differential privacy frameworks, and transformer-based neural networks for cold-start problems. Past projects cover wireless networks, multipath TCP, and nonlinear control theory for wind turbines. Awards & Grants: Royal Society Research Fellowship (1995-2005) Principal Investigator on multiple Science Foundation Ireland grants (e.g., €1.8M for privacy-enhanced analytics, €3M for green networks) Teaching: He instructs courses on Machine Learning (CS7CS4/CSU44061) and Optimization for Machine Learning (CS7DS2).

• Online Privacy
• Predictive Analytics
• Machine Learning
• +۴ مورد دیگر

Rafael de Andrade Moral is a Professor of Statistics at Maynooth University's Faculty of Science & Engineering (since 2025), with prior roles as Associate Professor (2023-2025) and Assistant Professor (2018-2023). He holds a PhD in Statistics (University of São Paulo, 2014-2017) and dual bachelor's degrees in Biology and Education. His work bridges Statistical Ecology , Computational Biology , and Data Science , focusing on modeling ecological systems, agricultural pest dynamics, and biodiversity-ecosystem function relationships. Key research themes include Bayesian modeling , multivariate ecological forecasting , and machine learning applications . He founded the Theoretical and Statistical Ecology Research Group and serves on committees like the Young-ISA Chair . His recent articles span topics like insect abundance forecasting , weed-crop competition under climate change , and neuroinformatics-based learning analysis , reflecting interdisciplinary engagement. Scientific accolades include the Young Statistician Showcase Prize (2018), A-mu-sing Competition First Place (2021), and Maths Week Award (2022). He has advised three PhD students and contributed to over 50 peer-reviewed publications. Active in teaching innovation (e.g., Teaching Statistics through Music ), he also provides statistical consultancy to organizations like NIBIO and Jomakol .

• Statistical Modelling
• Ecology
• Wildlife Management
• +۳ مورد دیگر

Dr. Edgar Galván is an Associate Professor in the Department of Computer Science at Maynooth University's Faculty of Science & Engineering. He is a leading expert in Genetic Programming (GP) and Evolutionary Algorithms, with a focus on semantic-based approaches, neutrality, and multi-objective optimization. His work spans applications in combinatorial optimization, gaming (e.g., Carcassonne), and software engineering, including neuroevolution for deep learning architectures. Current Affiliation: Maynooth University Previous Roles: Senior Researcher at University College Dublin, Trinity College Dublin, and INRIA Paris-Saclay Research interests include: Semantic-based Genetic Programming Multi-objective Evolutionary Algorithms Monte Carlo Tree Search Circular Economy Applications Privacy-Preserving Optimization Neuroevolution in Autonomous Systems His recent publications analyze semantic diversity in GP, neural architecture search, and privacy-aware swarm optimization. Key awards include being ranked among the top 1% of GP researchers by University College London (2020), a Marie Curie Fellowship (2014), and a Best Paper Award at ECTA 2015. Current Projects: REBUILD (Circular Economy Buildings, 2024-2027), VISION (Circular Business Models, 2023-2026) Previous Grants: Stochastic Bio-inspired Algorithms (2014-2017, €267k), circAI (2022-2023, €142k) Dr. Galván serves on program committees for IEEE, ACM, and Springer conferences, and as Scientific Adviser for institutions in Ireland, France, and Mexico. His work bridges theoretical GP analysis with real-world applications in energy optimization and AI.

• Genetic Programming
• Evolutionary Algorithms
• Combinatorial Optimisation
• +۶ مورد دیگر

Professor Gerard (Gerry) Lacey is Professor of Electronic Engineering at Maynooth University within the Faculty of Science and Engineering. He also serves as Head of the Department of Electronic Engineering and is affiliated with the Hamilton Institute and ALL Institute at Maynooth. Education BE in Computer Engineering – Trinity College Dublin PhD in Robotics – Trinity College Dublin MBA – University College Dublin Research Focus Professor Lacey’s research integrates robotics, real-time computer vision and human-machine systems with healthcare applications. His work spans assistive robotics for the elderly and visually impaired, augmented-reality surgical simulation, and technology-enabled infection prevention. Key themes include psychomotor learning in digital training tools, AI-driven hand-hygiene monitoring, and the design of user-centred healthcare technologies. Publication Trends Recent publications (2020-2021) concentrate on leveraging augmented reality and artificial intelligence to improve hand-hygiene compliance among healthcare workers, reflecting a translational trajectory from vision-based algorithms to large-scale hospital deployment. Earlier work (1995-2014) laid foundational contributions in mobility aids for the blind, endoscopic image enhancement, and robotic guidance systems. Awards & Recognition RESNA PVA Design Award for Robotics EU IST Award Irish Software Association Innovation Award Enterprise Ireland Technology Commercialisation Award Trinity College Innovation Award Entrepreneurship & Impact Professor Lacey has founded two university spin-outs: Haptica (2000), which created mobile healthcare robots and AR surgical simulators (acquired by CAE Healthcare in 2011), and SureWash (2010), whose hand-hygiene training systems are deployed internationally in hospitals. These ventures bridge academic research and clinical practice, securing real-world impact for his innovations. Laboratories & Collaborations He leads research activities within the Electronic Engineering Department and participates in interdisciplinary initiatives at the Hamilton Institute (systems modelling) and ALL Institute (assisted living and learning). His teams bring together engineers, healthcare professionals and industry partners to advance assistive and medical technologies.

• Robotics
• Real-time computer vision
• Human-machine systems
• +۳ 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.

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

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

Dr. Ramen Ghosh is a Researcher in the Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE) group at Atlantic Technological University, Sligo, where he has been working with Dr. Marion McAfee since July 2022. His research explores how complex systems behave when randomness, interaction, learning, and control intersect, with special focus on ergodicity principles. His academic background includes: PhD in Electrical Engineering, University College Dublin, Ireland (2018-2023) Master of Technology in Mathematics and Computing, Indian Institute of Technology Patna, India Master of Science in Mathematics, Chennai Mathematical Institute, India Bachelor of Science in Mathematics (Honours), Ramakrishna Mission Vidyamandira Belur Math, University of Calcutta, India Dr. Ghosh's research centers on ergodicity—the concept that a system's long-run behavior becomes independent of its initial state—and how this principle can fail, emerge, or be shaped through control and learning. His work spans nonlinear systems, iterated function systems, dynamic mode decomposition, and applications in power grids, environmental systems, and materials science. He approaches complex system behavior through the intersection of randomness, interaction, learning, and control mechanisms. His publication record shows consistent growth with 1 article in 2022, 4 in 2023, 1 in 2024, and 1 in 2025. His research demonstrates strong interdisciplinary connections between theoretical mathematics and practical applications across environmental science, materials engineering, and control systems. The fingerprint analysis of his work reveals significant contributions to Nonlinearity, Iterated Function Systems, Dynamic Mode Decomposition, and Stable State mathematics. Dr. Ghosh has teaching experience including MATH09010 - Introduction to Mathematical and Computational Modelling at Atlantic Technological University (2022), and multiple offerings of EEEN30150-Modelling and Simulation and EEEN30020-Circuit Theory at University College Dublin (2019-2021). His research activities include presentations on ergodicity, predictability, fairness, and control for societal-scale challenges.

• Complex Systems
• Ergodicity
• Control Theory
• +۵ مورد دیگر