Find Academic Supervisors

• Natural Computing
• Financial Modelling
• Operations Research
• +3 more

Professor Anthony Brabazon is the College Principal and Dean of the UCD College of Business at University College Dublin. He holds a prominent administrative role alongside his academic contributions in natural computing and business analytics. His research focuses on natural computing theory, financial modeling using evolutionary algorithms, and complex adaptive systems in business contexts. Brabazon co-founded the Natural Computing Research and Applications Group (NCRA) at UCD, which explores theoretical and practical applications of bio-inspired algorithms. Education: B Comm and Dip. Prof Accounting – University College Dublin DBA – Kingston University, London DPA and Dip Stat – University College Dublin and Trinity College Dublin MBA – Heriot-Watt University, Edinburgh MS – Stanford University Research Interests: Anthony's work bridges computational intelligence and finance, with contributions to genetic programming, foraging-inspired optimization, and business analytics. His research highlights the application of evolutionary algorithms to real-world problems in finance, operations research, and organizational strategy. Grants and Collaborations: HEA Support for COVID-19 Related Research (2020–2025) Financial Mathematics and Computation Cluster (FMC²) (2009–2016) Teaching: Coordinated MAcc Management Accounting courses at the postgraduate level (2018–2019). Professional Activities: Member of CIMA Ethics Board Editorial board roles in multiple journals Founder of EvoBAFin workshop on computational finance

Salem S. GharbiaView profile

Professor

• Climate Resilience
• Environmental Monitoring
• Environmental Modeling
• +3 more

Dr. Salem S. Gharbia is the Head of the Department of Environmental Science and a Principal Investigator at Atlantic Technological University (ATU). He leads the Centre for Environmental Research Innovation and Sustainability (CERIS) and co-founded the Centre for Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE). His research focuses on climate resilience, environmental monitoring, and modeling, with expertise in Geographic Information Systems (GIS), wireless sensor networks, and climate change impacts. Dr. Gharbia coordinates major EU projects like Horizon 2020 SCORE and has secured over €14M in research funding. He holds a PhD in Environmental Engineering from Trinity College Dublin, where he received the prestigious Ussher Award. His work spans collaborations with the Irish EPA, Horizon Europe, and the Marine Institute, addressing coastal flooding, microplastic detection, and sustainable agriculture. Education: PhD in Environmental Engineering, Trinity College Dublin. Research interests include climate adaptation strategies, urban resilience, and innovative sensor technologies for environmental monitoring. His projects emphasize interdisciplinary approaches to address global challenges such as rising sea levels, extreme rainfall, and coastal erosion. Awards: Trinity College Ussher Award. Grants: Over €14M secured over five years for projects like EmpowerUS, Pro-climate, and WaterFutures. Advising: Accepting PhD students in environmental science and engineering. Labs: CERIS and MISHE, focusing on climate modeling and environmental systems.

• Augmented Reality
• Virtual Reality
• Mixed Reality
• +6 more

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.

Gregorio IglesiasView profile

Professor

• Marine Renewable Energy
• Coastal Engineering
• Wave Energy Conversion
• +5 more

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).

• Prostate Cancer
• Cancer Biology
• Translational Research
• +7 more

Professor Bill Watson is a Full Professor of Cancer Biology at the University College Dublin, School of Medicine , where he serves as Head of Pathology and Director of the Biomedical Health and Life Science BSc program. With a PhD in Biochemistry (University College Cork, 1995) and post-doctoral training at the University of Toronto, he has led translational research in prostate cancer since returning to UCD in 1997. His work focuses on biomarker discovery, therapy resistance mechanisms, and clinical decision tools through the Prostate Cancer Research Consortium and iPROSPECT collaborations. Education: BSc (University College Dublin), PhD (Royal College of Surgeons in Ireland), Post-Doctoral Research Fellow (Toronto General Hospital) His research integrates genomic, epigenetic, and proteomic biomarkers to improve prostate cancer stratification and treatment selection, as demonstrated in the Movember Global Action Plan and ToPCaP initiatives. Recent studies include validating a six-gene MCRS signature for biopsy-based prognostics (2025) and developing beta mixture models for DNA methylation analysis (2024). Scientific Awards include the Alton Prize (2000), Presidents Awards for Teaching (2000, 1998), and Young Investigator Award (1995). He has received grants such as the UCD Equip Scheme (2021) and Molecular Therapeutics for Cancer (2009-2015) . Professional Leadership: Irish Association for Cancer Research (President 2014-2017), Cancer Trials Ireland (Chair of Translational DSSG 2014-present), and Royal Academy of Medicine in Ireland (Fellow since 2006)

Aoife GowenView profile

Professor

• Hyperspectral Imaging
• Sustainable Transport Policy
• Critical Thinking in Education
• +4 more

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.

Catherine HurleyView profile

Professor

• Data visualization
• Data science
• Machine learning
• +4 more

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.

Szymon UrbasView profile

Lecturer

• Bayesian Modelling
• Computational Statistics
• High-Dimensional Data Analysis
• +2 more

Szymon Urbas is a Lecturer in Statistics at the Department of Mathematics and Statistics, Faculty of Science & Engineering, Maynooth University (2024–present). He previously worked as a Postdoctoral Researcher at University College Dublin (2022–2024). His academic background includes a PhD (2018–2022) and MRes (2017–2018) in Statistics from Lancaster University, and a BSc in Mathematical Science from the University of Galway (2013–2017). Research Interests Bayesian modeling with latent variables Computationally intensive methods (Hamiltonian Monte Carlo, particle filters) Applications in agri-food sector and clinical trial operations Variational inference in machine learning High-dimensional data with hierarchical correlations Recent publications focus on Bayesian regression for agricultural spectral data, path sampling algorithms, clinical trial recruitment prediction, and neuro-mimetic learning strategies. His work integrates probabilistic methods with real-world challenges in agriculture and healthcare. Contact: Szymon.Urbas@mu.ie

Andrew McCarrenView profile

Associate Professor

• Data Analytics
• Fintech
• Agriculture (Agtech)
• +4 more

Dr. Andrew McCarren is an Associate Professor and Head of the School of Computing at Dublin City University (DCU). He holds a PhD and BSc from DCU and is a funded investigator in the Insight Centre for Data Analytics. His research focuses on applying data analytics to Fintech, Agriculture, Health, and Sports Performance. As a former industry professional with 20+ years experience in Agri, Engineering, and Pharmaceuticals, he bridges academic and industrial collaboration. Professional Affiliations: Fellow of Royal Statistical Society and Advance HE Key Roles: PI on SFI/EI projects, Visiting Professor at Princess Nourah bint Abdulrahman University Research spans software engineering (microservices architecture), health informatics (exercise interventions), and agri-tech (automated food processing). Over 100 publications across data science, sports analytics, and engineering.

• Software Engineering
• Smart Cities
• Internet of Things
• +4 more

Siobhán Clarke is a Professor at the School of Computer Science and Statistics, Trinity College Dublin, specializing in software systems for smart urban environments . Her work addresses dynamic software adaptation in large-scale, mobile IoT ecosystems , with a focus on QoS optimization and collaborative agent models . Director, Enable : National SFI IoT Research Programme Director, Future Cities Centre for Smart & Sustainable Cities Co-Lead, ADVANCE : SFI Centre for Advanced Networks Co-PI, CONNECT (Future Networks) and Lero (Software Research) Her research spans smart city infrastructure , edge computing , and multi-agent coordination , informed by 15+ years of publications on service-oriented architectures , QoS prediction , and self-adaptive systems . Key project contributions include DIVERSIFY (2016) and TRANSFoRm (2015). Scientific awards include election to the Royal Irish Academy (2023) and a Best Student Paper at IEEE ICWS 2011. She has supervised 20+ PhD/MSc students, including Fan Li (2020: SLA Negotiation Systems), Gary White (2020: IoT QoS Forecasting), and Andrei Palade (2019: Stigmergic Optimization).

• Machine Learning
• Statistics
• Model-Based Clustering
• +5 more

Brendan Murphy is a Full Professor in the School of Mathematical Sciences at University College Dublin since 2015, previously holding a Professor role at the same institution (2007-2015) and a Lecturer position at Trinity College Dublin (1999-2007). He is a Principal Investigator at the Insight Centre for Data Analytics and actively works in Machine Learning & Statistics. Research Focus: His work centers on Model-based clustering Mixture models Applications in sports analytics, food science, microbiome studies, and public health Bayesian statistical methods High-dimensional data analysis Article Trends: Murphy's recent publications (2024-2025) emphasize soft clustering techniques, Bayesian mixture models, and their applications across diverse domains including metabolomics, political science, and oceanography. His work addresses challenges in variable selection, robust classification, and multi-omics integration.

• Statistics
• Machine Learning
• Data Analytics
• +6 more

Andrew Parnell is a Professor at the Hamilton Institute, Maynooth University, and a funded investigator in three Science Foundation Ireland (SFI) centres: Insight Centre for Data Analytics, I-Form Advanced Manufacturing Centre, and VistaMilk Centre for Precision Pasture-based Dairy. His research bridges theoretical and applied domains. Research Areas: His work focuses on statistics and machine learning for large structured datasets, applied to: Climatology (sea level rise, extremes, paleoclimate analysis) Manufacturing (anomaly detection, real-time tool wear analytics) Bioinformatics (prostate cancer identification, SNP analysis) Learning Analytics (student progress monitoring) Quantitative Ecology (diet estimation, sediment tracing) Radiocarbon Dating (chronology modeling in archaeology) Funding & Commercialisation: He has secured over €1 million in direct funding and contributes to industry-academia collaborations through roles in startups Prolego Scientific (Chief Scientific Officer) and Atturos (Scientific Advisor). Technical Contributions: He develops open-source R packages for non-specialist users, emphasizing practical statistical tools for interdisciplinary applications. Interdisciplinary Impact: His work spans environmental science, healthcare, agriculture, and industrial analytics, with publications in high-impact journals like Science and Nature Communications.

• Political Science
• Conflict Prediction
• International Relations
• +4 more

Thomas Chadefaux is a Professor of Political Science at Trinity College Dublin, The University of Dublin. He holds a Ph.D. in Political Science from the University of Michigan and an M.A. from the Graduate Institute of International Studies in Geneva. Prior to his current role, he served as a Visiting Assistant Professor at the University of Rochester and a Postdoctoral Researcher at ETH Zurich. His research focuses on the predictability of interstate conflict, leveraging advanced statistical methods, machine learning, and big data (e.g., satellite imagery, financial markets, news archives). He investigates decision-makers’ anticipation of war risks, the dynamics of conflict escalation, and the application of early warning systems. His work bridges empirical analysis with theoretical insights from game theory, contributing to top journals like the American Political Science Review and advising institutions such as the German Department of Foreign Affairs and the EU. Key achievements include awards for best paper (American Political Science Review, 2018), best conference paper (Oxford, 2012), and best visualization (Journal of Peace Research, 2014). His methodologies emphasize time-series clustering and pattern-based approaches to improve conflict forecasts. Chadefaux collaborates internationally on projects like the VIEWS Prediction Challenge and employs innovative tools such as dynamic synthetic controls for causal inference. His research underscores the interplay between public and private information in diplomatic crises, with implications for policy and international relations.

Romina GaburroView profile

Associate Professor

• Inverse Problems
• Partial Differential Equations
• Imaging and Material Properties Identification
• +7 more

Romina Gaburro is an Associate Professor at the University of Limerick's Department of Mathematics and Statistics, with affiliations including the Centre for Research Training in Foundations of Data Science, the Centre for Sustainable Digital (Re)Manufacturing, and the Mathematics Applications Consortium for Science and Industry (MACSI). She serves as Director for Postgraduate Studies, Course Director for the MSc in Mathematical Modelling, and Research Representative for the Science and Engineering Faculty Research Committee. PhD, Mathematics, University of Manchester Institute of Science and Technology (UMIST) MSc, Mathematics, Università degli Studi di Trieste Her research focuses on inverse problems, partial differential equations (PDEs), and their applications to imaging and material properties identification. Key applications include geophysics (e.g., oil reservoir detection), medical imaging (e.g., tumor identification), and nondestructive testing (e.g., material defect detection). Recent publications highlight advancements in anisotropic conductivity reconstruction, singular solution analysis, and stability theory for boundary value problems. Her work intersects disciplines like seismic imaging, diffuse optical tomography, and smart manufacturing. She received the 2023 Simons Foundation Fellowship and UL President's 2022 Outstanding Research Collaboration Award. Gaburro actively promotes gender balance in STEM as Irish ambassador for the IMU Committee for Women in Mathematics and co-founder of ICEDIM.

Ann O'SheaView profile

Professor

• Mathematics Education
• Complex Analysis
• Curriculum Design
• +4 more

Professor Ann O'Shea, affiliated with the Department of Mathematics and Statistics at Maynooth University, is a leading expert in Mathematics Education. Her career spans both theoretical research in Several Complex Variables and transformative work in educational practices. PhD from University of Notre Dame (1991) Faculty of Science & Engineering, Maynooth University Focus on curriculum development and technology integration Research Interests : Task design for advanced mathematical thinking Technology's role in formative assessment Teacher professional development Mathematics support effectiveness Recent Publications (2023–2017) reveal consistent focus on: Transition challenges between school/university mathematics Impact of pandemic on higher education Comparative studies across cultural contexts Assessment reform and creative reasoning Practice Grants : IRC Postdoctoral Application (€93,830.79, 2019–2021) Collaborative Networks : Active involvement in European Society for Research in Mathematics Education (CERME) and International Network for Didactic Research in University Mathematics (INDRUM).