جست‌وجوی استاد و پژوهشگر

• Remote Sensing
• Geodesy
• Peatland Science
• +۳ مورد دیگر

Alexis Hrysiewicz is a Lecturer/Assistant Professor at the School of Earth Sciences, University College Dublin. His research specializes in remote sensing applications for temperate peatlands, utilizing SAR and InSAR techniques to monitor carbon emissions, soil moisture, and ground displacements. He holds a PhD in Earth Sciences from Université Blaise Pascal, complemented by Bachelor's and Master's degrees from the same institution. Research Focus Dr. Hrysiewicz's work centers on developing scalable methods for peatland preservation and restoration. Key areas include: Integration of SAR/InSAR data with ecohydrological parameters to track peatland degradation Machine learning applications for enhancing InSAR coherence in infrastructure monitoring Open-source tool development (e.g., EZ-InSAR, EGMS-toolkit) for geospatial data processing Wildfire impact assessment on peatland ecosystems using radar remote sensing Publication Trends His recent articles (2019-2025) demonstrate a strong focus on geohazard monitoring, with recurring themes of InSAR validation, peatland dynamics, and volcanic crisis management. Over 70% of publications involve multi-institutional collaborations, emphasizing practical applications in climate resilience and infrastructure stability. Professional Engagement Dr. Hrysiewicz actively presents at conferences like the American Geophysical Union and Irish Earth Observation Symposium, with recent work on AI-enhanced peatland monitoring platforms. His research lacks explicit mentions of awards, advised students, or dedicated lab teams.

• Artificial Intelligence in Healthcare
• Medical Imaging
• Emergency Radiology
• +۴ مورد دیگر

Peter MacMahon is a Clinical Professor at University College Dublin and a Consultant Radiologist at the Mater Hospital in Dublin. His work focuses on the integration of artificial intelligence (AI) into clinical radiology to improve diagnostic efficiency and patient outcomes in emergency settings. Specializes in emergency radiology , including trauma and stroke imaging Spearheaded AI implementation for stroke management at Mater Hospital since 2015 Developing generative AI models to predict MRI outcomes from CT scans Advocates for balanced human-AI workflows to mitigate automation bias His research leverages medical imaging data to address critical challenges in emergency care, such as reducing unnecessary patient transfers and improving clot detection rates by 100%. He collaborates closely with AI programmers and clinicians to ensure data quality and clinical relevance in AI development. At Mater Hospital, he leads initiatives to deploy AI in X-ray diagnostics , aiming to streamline frontline care while maintaining rigorous clinical verification processes. His work spans musculoskeletal imaging , bone tumor analysis , and emergency condition diagnostics , with a focus on practical implementation in resource-constrained environments.

Marc Sturrockمشاهده پروفایل

مدرس

• Biophysics
• Computational Biology
• Gene Regulatory Networks
• +۶ مورد دیگر

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.

Charlotte Carrier-Belleauمشاهده پروفایل

پژوهشگر

• Aquatic Biology
• Ecosystem Stressor Interactions
• Environmental Toxicology
• +۵ مورد دیگر

Dr. Charlotte Carrier-Belleau is a PhD researcher at the Department of Zoology , School of Natural Sciences , Trinity College Dublin , Ireland. Her work focuses on understanding multiple stressor interactions, legacy effects, and tipping points in aquatic ecosystems through experimental approaches. Primary research areas include stressor synergy/antagonism, salinity variation, global warming, nanoparticle impacts, and eutrophication Specializes in sub-arctic and arctic bivalve ecology Member of the Piggott Lab group Recent publications highlight her work on non-additive stressor effects across biological scales. She investigates how local and global stressors interact to influence ecosystem thresholds and ecological processes, particularly in marine and freshwater environments.

Milton Assuncaoمشاهده پروفایل

پژوهشگر

• Mathematical Modelling
• Computational Fluid Dynamics
• Asymptotic Methods
• +۴ مورد دیگر

Milton Assuncao is a Postdoctoral Researcher at the University of Limerick, affiliated with the Mathematics Applications Consortium for Science and Industry (MACSI) and the SSPC - the Research Ireland Centre for Pharmaceuticals. His work focuses on mathematical modeling of physicochemical processes in the pharmaceutical industry. Education: PhD in Computational Mathematics (University of São Paulo, 2021), MSc in Computational Mathematics (University of São Paulo, 2015), and Bachelor's in Computer Science (Federal University of Mato Grosso). His research spans mathematical modeling , computational fluid dynamics , and asymptotic methods , with applications to drug release , solidification processes , and dissolution dynamics . Recent publications highlight his expertise in crystallization , sedimentation , and finite element analysis for industrial systems. The 12 research outputs (2018–2025) demonstrate a strong focus on applied mathematics and materials science , particularly in pharmaceutical contexts. Key methodologies include asymptotic modeling , finite element simulations , and fluid dynamics analysis . Collaborations with institutions like SSPC and MACSI underscore his role in interdisciplinary research. He also maintains a lecturing position at the Universidade Federal de Mato Grosso.

Norma Bargaryمشاهده پروفایل

استاد

• Functional Data Analysis
• Statistical Modeling of High-Dimensional Data
• Biostatistics
• +۶ مورد دیگر

Norma Bargary is a Professor in the Department of Mathematics and Statistics at the University of Limerick. She holds multiple leadership roles in national research centers, including Principal Investigator at the Confirm Centre for Smart Manufacturing, Insight Centre for Data Analytics, SSPC (Research Ireland Centre for Pharmaceuticals), and MACSI (Mathematics Applications Consortium for Science and Industry). She serves as Vice-Director of the SFI Centre for Research Training in Foundations of Data Science and collaborates with institutions like the Royal Statistical Society, where she is a statistical Ambassador based in Ireland. Chair of Data Science and Statistical Learning, University of Limerick (2021→) Senior Lecturer in Statistics, University of Limerick (2020→) Lecturer roles at University of Limerick and University College Dublin (2013–2020) Her research focuses on statistical models for large, high-dimensional, time-varying data (e.g., sensor measurements, human movement, -omics datasets). Applications span biostatistics, biomechanics, pharmaceuticals, and smart manufacturing. She specializes in functional data analysis, mixed-effects smoothing, finite mixture clustering, and Gaussian process modeling. Recent publications highlight trends in industrial analytics (Gaussian process models for manufacturing), health data science (Raman spectroscopy for drug identification), and epidemiological modeling (SEIR models for pandemics). Her methodological work includes functional principal component analysis and nonlinear filtering techniques. Scientific Awards : Advanced Scholar Award, Hamilton Prize, Silver Medal, Best Postgraduate Presentation (Conference for Applied Statistics in Ireland), and functional data analysis recognition. Her €16M+ funded work integrates academia and industry through grants from SFI, Enterprise Ireland, EU programs (FP7, H2020), and corporate partnerships. She leads the SFI Frontiers of the Future grant and contributes to UN Sustainable Development Goals via data science education.

• Mathematical Modelling
• Applied Mathematics
• Environmental Mathematics
• +۳ مورد دیگر

Dr. Robert Garvey is a researcher in the Department of Mathematics and Statistics at the University of Limerick, specializing in applying mathematical techniques to solve complex environmental, industrial, economic and societal challenges. His research integrates advanced mathematical modeling with practical applications across multiple disciplines. Education: BSc in Physics and Astronomy from Dublin City University MSc in Mathematical Modelling from the University of Limerick PhD in Applied Mathematics from the University of Limerick Garvey's research focuses on mathematical modeling with applications spanning environmental systems, industrial processes, and societal challenges. His work demonstrates strong expertise in partial differential equations, asymptotic analysis, and mathematical theory development. The fingerprint analysis of his publications reveals significant contributions to Similarity Solutions (100%), Asymptotics (66%), Classical Models (66%), and Mathematical Theory (66%), with applications extending into Earth and Planetary Sciences through Pneumatics and Eddy Viscosity research (66% each). His recent publication trend (2023-2024) shows a strong focus on diffusion equations, plume theory, and competitive systems, indicating a growing emphasis on mathematical applications in geophysical and theoretical biological systems. These works demonstrate sophisticated use of partial differential equations, ordinary differential equations, and mathematical modeling techniques to address complex physical phenomena. Garvey has established a productive research collaboration with A.C. Fowler, co-authoring three of his four publications. His work has garnered increasing attention, with the 2016 conference article accumulating 17 citation indexes and 31 reader captures, while his 2023 article has already received 2 citations and 6 reader captures with news mentions.

James Gleesonمشاهده پروفایل

استاد

• Complex Networks
• Stochastic Dynamics
• Mathematical Modelling
• +۲ مورد دیگر

James Gleeson is a Professor and Chair in Industrial and Applied Mathematics at the University of Limerick, holding this position since 2007. He is affiliated with the Department of Mathematics and Statistics, the Centre for Research Training in Foundations of Data Science, and serves as co-director of the Mathematics Applications Consortium for Science and Industry (MACSI). His educational background includes: PhD in Applied Mathematics, California Institute of Technology Masters in Mathematical Physics, University College Dublin Bachelor in Mathematical Science, University College Dublin Professor Gleeson's research centers on mathematical modelling of stochastic dynamics within complex systems and networks, bridging theoretical frameworks with real-world applications. Through MACSI, he collaborates extensively with industry and scientific partners to solve practical problems using advanced mathematical techniques, with significant contributions to network science and epidemic modelling. His recent publications (2023-2024) demonstrate a cohesive focus on network-based contagion processes, pandemic response modeling, and system resilience. Key themes include the application of branching processes to clustered networks, analysis of contact tracing efficacy in clique-structured populations, and agent-based validation of social interaction models, reflecting his dual commitment to theoretical rigor and societal impact. As an active PhD supervisor and co-director of MACSI, Professor Gleeson secures collaborative research funding from industry partners while mentoring the next generation of mathematical scientists. His group's work directly addresses real-world challenges through mathematical innovation. Leading MACSI's interdisciplinary team, he fosters partnerships between academia and industry to develop mathematical solutions for diverse sectors including public health, engineering, and data science, emphasizing practical implementation of theoretical advances.

• Stochastic Analysis
• Affine Processes
• Mathematical Finance
• +۳ مورد دیگر

Eberhard Mayerhofer is a Senior Lecturer in Financial Mathematics at the Department of Mathematics and Statistics, University of Limerick. He actively contributes to the Centre for Research Training in Foundations of Data Science and the Mathematics Applications Consortium for Science and Industry (MACSI). His research lies at the intersection of stochastic analysis and mathematical finance, with a focus on portfolio optimization and financial risk modeling. Primary Affiliation : Department of Mathematics and Statistics, University of Limerick Research Centers : Centre for Research Training in Foundations of Data Science, MACSI Research Interests Mayerhofer's work centers on Stochastic Analysis and Affine Processes , particularly their applications in Mathematical Finance . His studies in portfolio selection, transaction cost modeling, and volatility dynamics address critical challenges in financial risk management. Recent publications explore shadow price theory, asymptotic methods, and functional analysis techniques in financial contexts. Academic Trends The 15 most recent publications (2023-2024) demonstrate sustained contributions to Quantitative Finance (42%), Stochastic Processes (35%), and Functional Analysis (23%). Key themes include transaction cost modeling, portfolio optimization, and mathematical properties of financial spaces.

Tom O'Dwyerمشاهده پروفایل

دانشیار

• Waste Minimisation
• Waste Recovery
• Recycling
• +۷ مورد دیگر

Tom O'Dwyer is an Associate Professor in the Department of Chemical Sciences at the University of Limerick, with an academic career spanning over three decades. His research has produced 52 publications from 1992 to 2024, demonstrating sustained scholarly activity in environmental chemical engineering. His research focuses on critical environmental challenges: Waste Minimisation, Recovery and Recycling Optimisation of industrial waste separation processes Application of Geographical Information Systems (GIS) to environmental issues Adsorbent design for water treatment Nutrient (P, N) waste minimisation approaches in the biotechnology sector Removal and recovery of metals from waste streams Dr. O'Dwyer's recent publications demonstrate a strong focus on constructed wetland systems for environmental remediation, with particular attention to vanadium removal and the long-term functioning of wetlands treating alkaline leachate. His work also extends into interdisciplinary areas, including the application of AI techniques to environmental monitoring through wearable sensor data analysis, showing his ability to integrate emerging technologies with traditional environmental engineering approaches. His notable recognitions include: Research Special Achievement (Nominated/short-listed) in 2003 Teaching Excellence (Nomination/short-listed) in 1998 Dr. O'Dwyer has been actively involved in professional organizations, serving on committees including the Institute of Occupational Safety and Health, Materials and Surface Science Institute, and Occupational Hygiene Society of Ireland. He maintains significant external professional engagement as Deputy Section Head at Bord Na Mona (Environmental) since 1994, Development Technologist at RIMA Pharmaceuticals Ltd. since 1986, and previously as an Analyst at Tipperary Co-op Creamery.

Mark Haltonمشاهده پروفایل

دانشیار

• Autonomous Vehicles
• Trajectory Prediction
• Power Electronics
• +۳ مورد دیگر

Mark Halton serves as an Associate Professor in the Department of Electronic and Computer Engineering within the Faculty of Science and Engineering at the University of Limerick, Ireland. His office is located in room A2-010, and he can be contacted via email at mark.halton@ul.ie or by phone at +353-(0)61-202678. His research spans two primary domains: autonomous vehicle trajectory prediction and digital control of power converters. In autonomous systems, he develops multi-sensor, multi-agent trajectory prediction frameworks using bird's-eye-view representations, graph neural networks, and HD map integration for safety-critical applications. In power electronics, his work focuses on robust digital control of DC-DC converters, including digital pulse width modulation, phase alignment techniques, and structured singular value analysis for stability. Halton's publication trajectory demonstrates a clear shift from foundational power electronics research (2010-2015) to cutting-edge autonomous vehicle systems (2023-2025). His recent work integrates deep learning with classical control theory to address uncertainty in trajectory prediction, while maintaining strong contributions to efficiency optimization in power conversion systems through novel digital controller architectures.

Doireann O'Kielyمشاهده پروفایل

دانشیار

• Fluid Mechanics
• Solid Mechanics
• Mathematical Modeling
• +۱۱ مورد دیگر

Doireann O'Kiely is an Associate Professor in Applied Mathematics at the University of Limerick, where she conducts research at the intersection of mathematics and real-world physical problems. She serves as Co-Director of MACSI (Mathematics Applications Consortium for Science and Industry) and holds memberships in the Centre for Battery and Energy Materials Research, the Centre for Research Training in Foundations of Data Science, and the SSPC (Research Ireland Centre for Pharmaceuticals). Her educational background includes a BSc in Theoretical Physics from University College Dublin, an MSc in Mathematical Modelling and Scientific Computing from Oxford, and a PhD in Mathematics from the University of Oxford. O'Kiely specializes in applying mathematical modeling, particularly differential equations, to understand physical systems. Her primary research areas include fluid mechanics (viscous flow, capillary flows, fluid-structure interaction), solid mechanics (elasticity, plasticity, wrinkle mechanics), and industrial applications (glass manufacture, metal forming). She has developed significant expertise in modeling thin viscous, elastic, and plastic sheets, with applications ranging from smartphone screens to car bodies. Her work often focuses on counter-intuitive physical phenomena that can be explained and harnessed through mathematical analysis. Analysis of her recent publications reveals a strong focus on mathematical modeling of industrial processes, particularly cold rolling and metal forming, as well as fluid dynamics in porous media and crystallization processes. Her work demonstrates a consistent pattern of applying asymptotic methods and numerical techniques to solve complex physical problems with practical industrial applications, especially in manufacturing and materials science. Dr. O'Kiely actively mentors PhD students and has secured research funding through the SFI Frontiers for the Future programme. Her work with MACSI connects academic research with industrial partners across multiple sectors, translating mathematical insights into practical solutions for real-world challenges. She leads collaborative projects including the Varda (MACSI/SSPC) initiative on polymorphism in crystallization for pharmaceutical manufacturing in space, and has contributed to numerous industry case studies with companies like Medtronic, Boston Scientific, and Vistakon, addressing problems ranging from contact lens manufacturing to stent production.

Gabriel Leenمشاهده پروفایل

پژوهشگر ارشد

• Optical Fiber Sensors
• Acoustic Levitation
• Biomedical Sensor Development
• +۴ مورد دیگر

Gabriel Leen serves as a Senior Research Fellow in the Department of Electronic and Computer Engineering within the Faculty of Science and Engineering at the University of Limerick. His research integrates optical engineering, acoustics, and biomedical applications to develop advanced sensing technologies for medical diagnostics and industrial processes. Dr. Leen's primary research focuses on optical fiber sensor systems for pressure, temperature, and refractive index measurements, with significant applications in urodynamic analysis, radiotherapy dosimetry, and respiratory monitoring. His pioneering work in acoustic levitation enables contactless sample manipulation for X-ray crystallography, reducing sample consumption while enabling time-resolved structural studies of biological macromolecules. This interdisciplinary approach bridges physics, engineering, and clinical medicine through innovative device fabrication and signal processing techniques. Analysis of his recent publications (2023-2025) reveals three dominant research trajectories: 1) Acoustic droplet manipulation systems for X-ray light sources enabling new crystallography methodologies; 2) Miniaturized optical fiber sensors with biocompatible designs for in vivo medical applications; and 3) Laser-based processing techniques for flexible electronics and sensor fabrication. These themes demonstrate consistent innovation in translating fundamental physical principles into practical biomedical instrumentation with clinical impact.

• Population Balance Models
• Machine Learning
• Computational Fluid Dynamics (CFD)
• +۵ مورد دیگر

Mehakpreet Singh is an Associate Professor at the Department of Mathematics and Statistics, University of Limerick, Ireland. His research bridges mechanistic modeling with industrial applications in the dairy and pharmaceutical sectors, employing advanced computational techniques such as artificial neural networks (ANN), Discrete Element Method (DEM), and finite volume schemes. He holds a PhD in Applied Mathematics from Indian Institute of Technology Kharagpur (2015) and an MSc in Mathematics from Guru Nanak Dev University (2008). Teaching Interests: Numerical Analysis, Calculus, Engineering Mathematics Research Focus: Population balance models, machine learning for industrial processes, numerical solutions of integro-partial differential equations, and convergence analysis. His work spans analytical, semi-analytical, and computational methods for nonlinear systems. Publication Trends: Recent works (2023–2025) emphasize machine learning in battery technology, efficient finite volume schemes for fragmentation equations, and numerical methods for nonlinear boundary value problems. Key subfields include Lane-Emden equations, homotopy perturbation, and meshfree approaches. Scientific Awards: Marie Skodowska Curie Individual Fellowship Collaborations: Active in interdisciplinary research with affiliations to the Mathematics Applications Consortium for Science and Industry (MACSI). His work aligns with UN Sustainable Development Goals (SDGs) 7 (Affordable Energy) and 12 (Responsible Consumption).

Lubna Luxmi Dhiraniمشاهده پروفایل

دانشیار

• Cybersecurity
• Internet of Things (IoT)
• Machine Learning
• +۷ مورد دیگر

Lubna Luxmi Dhirani is an Associate Professor at the Department of Electronic and Computer Engineering, Faculty of Science and Engineering, University of Limerick, Ireland. Her research focuses on cybersecurity, IoT, machine learning, and smart manufacturing systems. Her work spans diverse areas including: Cybersecurity for connected and autonomous vehicles AI-driven anomaly detection in healthcare-IoT devices Quantum security applications in industrial systems Risk mitigation in cloud computing and IoT supply chains Cyber policy analysis and ethical considerations Recent publications highlight her expertise in: 5G and IoT security frameworks Digital twinning for manufacturing Cloud computing economics and quality assurance