Bayesian Modelling Professors and Supervisors in Ireland

Gregory Provanمشاهده پروفایل

استاد

University College CorkIreland

Professor Gregory Provan is a Full Professor and Programme Coordinator for BSc Data Science and Analytics at University College Cork's School of Computer Science and Information Technology. He directs the Complex Systems Laboratory and holds a PhD from the University of Oxford, with prior academic appointments at the University of Pennsylvania. His educational journey includes: BSE from Princeton University MSc from Stanford University DPhil from University of Oxford This foundation supports his interdisciplinary research approach. Professor Provan's research spans: complex systems design and analysis with applications in: Embedded diagnostics algorithms for large-scale systems Stochastic model-based diagnosis frameworks Automated benchmark model generation Sustainable energy system optimization Co-design of embedded systems His work bridges artificial intelligence, data analytics, and network architectures to solve real-world engineering challenges. Analysis of his extensive publication record reveals core themes: Advancements in model-based diagnosis and control Computational methods for complex systems Applications in sustainable energy and building automation Innovations in stochastic optimization and machine learning His recent work increasingly focuses on cybersecurity for cyber-physical systems and explainable AI. Professor Provan has secured significant research funding including: Science Foundation Ireland grants totaling over €1.2M Industry partnerships with Tyndall National Institute Enterprise Ireland support for competence centers His research group addresses fundamental challenges in complex systems engineering. He has supervised numerous doctoral candidates to completion, including: Jun Wang (Modeling real-world complex systems) Alie El-Din Mady (Networked control systems) Margarita Razgon (Constraint satisfaction problems) Ma Ji (Uncertainty visualization) Current doctoral researchers continue work on wireless sensor networks and analog system diagnosis. Honors include the 2008 Best Paper Award from the IEEE Prognostics and Health Management Conference for his work on approximation techniques in model-based diagnostics. Professor Provan leads the Complex Systems Laboratory which focuses on: Modeling and analysis of sustainable energy systems Diagnostics and control of large-scale networks Embedded system co-design The lab maintains collaborations with international research institutions and industry partners.

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Marc Sturrockمشاهده پروفایل

مدرس

Royal College of Surgeons in IrelandIreland

Dr. Sturrock is a Lecturer in Biophysics and Computational Biology in the Department of Physiology. He holds a B.Sc. in Applied Mathematics (2009) and a Ph.D. (2013) from the University of Dundee, focusing on spatio-temporal models of gene regulatory networks. His postdoctoral work includes research at The Ohio State University (macromolecular crowding, cell polarization) and Imperial College London (stochastic gene expression, synthetic Turing patterns). B.Sc., Applied Mathematics, University of Dundee (2009) Ph.D., University of Dundee (2013) His research centers on computational modeling of biological systems, including gene regulation, cell polarization, and cancer dynamics. Publications highlight the role of stochasticity in gene networks, spatial effects in signaling, and applications to glioblastoma and synthetic biology. Topics span mathematical biology, systems biology, and biophysics. Recent articles emphasize machine learning integration for genomic selection, Bayesian network inference, spatio-temporal cancer modeling, and stochastic simulations. Key methodologies include agent-based modeling, synthetic data generation, and compartmentalized systems analysis. He has collaborated with institutions such as the Mathematical Biosciences Institute at Ohio State and synthetic biology groups at Imperial College London, though no current lab affiliations are detailed in the provided text.

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Katrin Schertenleibمشاهده پروفایل

پژوهشگر

Trinity College DublinIreland

Katrin Schertenleib is a PhD student at Trinity College Dublin, affiliated with the O'Connor Lab. Her research focuses on quantifying the impact of multiple environmental stressors on marine benthic resources through interdisciplinary approaches. Develops Bayesian Belief Networks to link climate change scenarios to coastal biology in Dublin Bay Conducts lab experiments using a mesocosm facility to study ocean warming, acidification, and nutrient effects Investigates interactions between abiotic stressors and biological mediation mechanisms Her work contributes to the international Land2Sea project, aiming to estimate future ocean species assemblages and marine bioenergy production capacity. She utilizes research infrastructure funded by the Marine Institute.

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Shirin Moghaddamمشاهده پروفایل

دانشیار

University of LimerickIreland

Dr. Shirin Moghaddam is an Associate Professor and Lecturer in Statistics and Data Science at the University of Limerick , within the Department of Mathematics and Statistics . She is also an active member of the Limerick Digital Cancer Research Centre and the Mathematics Applications Consortium for Science and Industry (MACSI) . Her work bridges advanced statistical methodologies with real-world medical applications, particularly in oncology and neurodegenerative disease research. Education: BSc in Statistics – University of Tehran MSc in Mathematical Statistics – University of Tehran PhD in Statistics – University of Galway (NUIG) Research Focus: Dr. Moghaddam's research centers on survival analysis , Bayesian modeling , and machine learning , with a strong emphasis on translational cancer research . She develops predictive models for time-to-event outcomes in prostate cancer and other diseases, integrating genomic and clinical data to improve diagnostic and prognostic accuracy. Her work often involves interdisciplinary collaboration, combining statistics with bioinformatics, clinical oncology, and molecular biology. Scientific Contributions & Trends: Her recent publications reflect a consistent trajectory in applying advanced statistical techniques—especially Bayesian imputation and machine learning—to high-dimensional biomedical data. A recurring theme is the use of mRNA and protein biomarkers to enhance prediction of survival outcomes in prostate cancer patients, both pre- and post-operatively. Her 2024 and 2023 papers in PLoS ONE and Cancers highlight this focus, while her 2023 Molecular Neurobiology paper extends similar methodologies to Parkinson’s disease biomarkers. Leadership & Service: Chair, Young Statisticians Section – Irish Statistical Association (2023–present) Member – Cancer Trials Ireland Collaborations & Networks: Dr. Moghaddam collaborates extensively within Ireland and internationally, contributing to national cancer research initiatives and statistical modeling consortia. Her affiliations with MACSI and the Limerick Digital Cancer Research Centre position her at the intersection of applied mathematics, data science, and clinical research.

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Pepijn Van De Venمشاهده پروفایل

استاد

University of LimerickIreland

Pepijn Van De Ven is a Professor in the Department of Electronic and Computer Engineering at the University of Limerick, with affiliations to multiple research centers including the Centre for Research Training in Foundations of Data Science, Data-Driven Computer Engineering Research Centre, and Lero – the Research Ireland Centre for Software. His work bridges artificial intelligence with healthcare applications, particularly focusing on mental health interventions, mobile app development, and ambient assisted living technologies. PhD in AI Techniques for Marine Vehicles (UL, 2005) MSc in Electronic Engineering (Eindhoven University of Technology, 2000) His research interests center on leveraging machine learning and mobile ICT to enhance mental health care, with a specific emphasis on eMental Health, treatment prediction models, and context-aware intervention systems. He also explores computer vision applications in waste classification, medical imaging, and Industry 4.0 safety systems. The trends in his recent publications highlight interdisciplinary work combining computer vision (e.g., instance segmentation, contamination detection), mental health (e.g., depression, diabetes comorbidity), and AI-driven clinical tools (e.g., interpretable models, Bayesian analysis). Subfields like ecological momentary assessment, graph-based learning, and human-AI trust mechanisms are recurrent. Pepijn has contributed to teaching through modules on Android programming and has held leadership roles such as Course Leader for the National MSc in Artificial Intelligence at UL and Past-President of the International Society for Research on Internet Interventions (ISRII). He leads significant research projects including the PROACTIVE (UK-MRC), PERSONAE (Innovation Fund Denmark), and BINSPECT (Science Foundation Ireland) grants. Current research group: D2iCE (Design, Intelligence, and Computer Engineering) Collaborations: King’s College London, University of São Paulo, University of Bristol

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Pawan Kumarمشاهده پروفایل

استادیار

Dublin City UniversityIreland

Pawan Kumar is an Assistant Professor of Finance at Dublin City University's Business School in Dublin, Ireland. His academic journey includes a Bachelor of Technology in Computer Science & Engineering from the National Institute of Technology, Prayagraj, India; an MBA in Finance from McMaster University, Canada; and a Ph.D. in Finance from the Indian Institute of Management (IIM) Mumbai. He has held roles in application development at IBM and BlueStacks, and provided financial advisory services to organizations like Freedom Financials, Leap Tools, and the City of Brantford Municipal Corporation. He also consulted on the Indian government's 'Swamitva' project and institutions like the Indian Council of Social Science Research. His research focuses on Systemic Risk, Resilient Portfolios, Energy Finance , and Stochastic Optimization . He has published in ABS 3 journals such as Energy Economics and Journal of Commodity Markets , and serves as a reviewer for top-tier finance journals. He teaches on e-learning platforms with the Confederation of Indian Industries and previously taught at FLAME University, Pune, India. His consulting spans sectors including municipal governance, banking, and energy policy. Collaborations include supporting the Swamitva land titling initiative and advising on financial instruments for emerging markets. His work bridges computational finance and real-world policy applications, emphasizing resilience in volatile markets.

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Eugene Costelloمشاهده پروفایل

مدرس

University College CorkIreland

Eugene Costello is a Lecturer and Principal Investigator at University College Cork (UCC), affiliated with the School of History and the Radical Humanities Laboratory . He specializes in environmental history, landscape archaeology, and rural studies, with a focus on medieval and early modern Europe, particularly Ireland. Education: PhD in Upland Transhumance Practices, University of Galway (2016) MA in Landscape Archaeology, University of Sheffield BA in Archaeology and History, University College Cork Research Interests: His work explores the long-term socio-environmental dynamics of rural communities, including transhumance, climate adaptation, historical ecology, and the intersection of agriculture and colonialism. He emphasizes interdisciplinary methods, combining archaeology, history, and environmental science to understand how human communities have shaped and adapted to upland landscapes. Publication Trends: His recent articles (2021–2025) reflect a strong interdisciplinary focus, bridging environmental history, archaeology, and climate studies. Themes include the adaptation of pastoral societies to the Little Ice Age, the gendered dimensions of seasonal herding, and the application of historical ecology to modern conservation. His work often challenges deterministic narratives, highlighting local agency and resilience in rural economies. Scientific Awards and Recognition: European Society for Environmental History Article Prize 2023 – Honourable Mention Shortlisted, European Association of Archaeologists Book Prize 2023 American Conference for Irish Studies – Murphy Prize for Distinguished 1st Book 2020 Marie Skłodowska-Curie Actions Individual Fellowship 2021 Swedish Research Council Project Grant 2021 National Endowment for the Humanities Fellowship 2016–17 Grants and Advising: As a Principal Investigator, he leads externally funded research projects, including a major Swedish Research Council grant. He has supervised students at the University of Galway, Stockholm University, and Uppsala University, and currently teaches and mentors at UCC. He welcomes PhD and postdoctoral inquiries in environmental history, landscape archaeology, rural studies, and related fields. Labs and Research Groups: He is an active member of the Radical Humanities Laboratory at UCC, an interdisciplinary hub promoting innovative approaches to the humanities, particularly in sustainability and social justice.

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Rafael de Andrade Moralمشاهده پروفایل

استاد

Maynooth UniversityIreland

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 .

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Simon Wilsonمشاهده پروفایل

استاد

University College DublinIreland

Simon Wilson is Professor of Statistics at Trinity College Dublin and serves as Principal Investigator of the Machine Learning & Statistics research group. He is affiliated with the university’s School of Computer Science and Statistics. Education: PhD in Stochastic Modeling, George Washington University, Washington DC (1993) Research Focus: His work centres on the development and application of Bayesian statistical methods to problems in reliability, ecology, and astronomy, bridging theoretical advances with real-world scientific challenges. Contact: simon.wilson@insight-centre.org , Tel. +353 1 896 1759.

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