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Muhammad GulzariView profile

Assistant Professor

• Finite Element Modelling
• Structural Dynamics
• Applied Mechanics
• +7 more

Dr. Muhammad Gulzari is an Assistant Professor at the School of Civil Engineering, University College Dublin (UCD). Previously, he held positions as Lecturer/Assistant Professor at the University of Galway (2023–2024), Adjunct Assistant Professor at Trinity College Dublin (2022–2023), and a Research Fellow at Trinity College Dublin (2021–2023). He earned his Ph.D. in Civil Structural Engineering from City University of Hong Kong (2021) and a B.Sc. in Civil Engineering from the University of Engineering and Technology Lahore (2017). Education: Bachelor of Engineering, Civil Engineering, University of Engineering and Technology Lahore Ph.D., Civil Structural Engineering, City University of Hong Kong Research Interests: His work focuses on structured materials and dynamics, including finite element modeling, phononic crystals, acoustic and mechanical metamaterials, vibration and noise control, and applications in structural health monitoring. He leads the Structured Materials and Dynamics Lab at UCD, exploring nonlinear and nonreciprocal metamaterials. Teaching and Awards: He has taught courses in Fluid Mechanics, Thermodynamics, and Combustion Engineering. Notable recognitions include the Seal of Excellence Award from the EU-Horizon MSCA Postdoctoral Fellowship (2021) and nominations for teaching excellence awards at Trinity College Dublin and University of Galway. Grants: TimberFlow: Enhancing Efficiency in Mass Timber Construction (Enterprise Ireland, 2025) Indoor Acoustic Quality via Acoustic Metamaterials (Enterprise Ireland, 2025) RUBBERPAVE: ELT Integration in Pavement Construction (Enterprise Ireland, 2024–2026) Deep Learning for Metamaterial Design (Irish Research Council, 2021–2023) Labs and Collaborations: His research group collaborates with industry partners like Amplitude Acoustics and G-frame Structures Ltd. Key projects include developing metamaterials for noise/vibration control and sustainable construction materials.

John CotterView profile

Professor

• Finance
• Quantitative Finance
• Volatility Modelling
• +5 more

John Cotter is a Full Professor of Finance and Chair in Quantitative Finance at University College Dublin's Smurfit School of Business. He holds a PhD from Queen's University Belfast and prior academic roles include Associate Professor (2006-2012) and Senior Lecturer (2004-2006). His research focuses on volatility modeling, risk management, and asset pricing with applications in equity, real estate, and derivative markets. Cotter directs the Centre for Financial Markets and the Financial Mathematics Computation Cluster (FMC2), a multi-university research initiative funded by Science Foundation Ireland. Education: BComm and MEconSc from University College Cork, PhD in Finance from Queen's University Belfast. Research interests span asset pricing, volatility modeling, risk management, and financial market integration. His work has been published in top journals like Journal of Banking and Finance and Journal of International Money and Finance . He has secured grants including the ADAPT Phase 2 project (2021-2026). Cotter advises the European Securities Markets Authority (ESMA) and has consulted for numerous organizations globally. Notable awards include the UCD Outstanding Educator Teaching Award and UCD School of Business Research Contribution Award. He serves as Associate Editor for three journals and has supervised numerous PhD students through FMC2.

Rozenn DahyotView profile

Professor

• Computer Vision
• Machine Learning
• Digital Signal Processing
• +4 more

Rozenn Dahyot is a Professor of Computer Science at Maynooth University within the Faculty of Science & Engineering. She previously held roles as Assistant and Associate Professor in Statistics at Trinity College Dublin (2008-2021) and Lecturer in Computer Science (2005-2008). Her research interests bridge Digital Signal Processing, Computer Vision, Machine Learning, and Statistical Analysis. She organized the European Signal Processing Conference (EUSIPCO2021) in Dublin and served as President of the Irish Pattern Recognition and Classification Society (IPRCS) from 2014-2020. Her work spans topics like semantic scene understanding, CNN compression, and medical image segmentation. Key contributions include advancements in graph-based image analysis, reinforcement learning optimization, and AI-driven systems for disaster management. Dahyot is a member of IEEE, ACM, and EURASIP, contributing to both academic and industrial collaborations.

• Interface Chemistry
• Thin Film Characterization
• Semiconductor Physics
• +4 more

Dr. Robert O’Connor is an Assistant Professor at the School of Physical Sciences, Dublin City University (DCU) , specializing in interface chemistry and thin film characterization. His work bridges semiconductor physics and energy harvesting technologies , with a focus on materials like high-κ dielectrics and III-V substrates. BSc in Applied Physics (2001), DCU PhD in Semiconductor Physics (2005), DCU His research employs X-ray photoelectron spectroscopy (XPS) and atomic layer deposition (ALD) to study material interfaces in devices such as MOSFETs and photoelectrochemical systems . He leads a 4-year SFI-funded project on solar water splitting for hydrogen fuel and collaborates with Trinity College Dublin (SPOKE project) and IMEC, Belgium on area-selective deposition techniques. His lab utilizes a state-of-the-art integrated ALD-XPS tool . His scientific awards include the Marie Curie Intra-European Fellowship , Irish Research Council EMBARK Fellowship , and SFI TIDA Award . Publications span high-κ dielectrics , self-assembled monolayers , and block copolymer lithography , with recent work on graphene oxide heterostructures and recyclability in additive manufacturing . He supervises 5 postgraduate students and teaches modules like Final Year Project (PS451) and Solid State Physics I (PS204) . Collaborations include institutions such as IMEC and Trinity College Dublin , with tools like the integrated ALD-XPS system at DCU.

• Information Retrieval
• Interactive Information Retrieval
• Personalisation
• +4 more

Ralf Bierig joined Maynooth University's Computer Science Department in 2017, teaching topics including information retrieval, software testing, interaction design, and virtual reality. He is the programme director of the Higher Diploma in Human-Computer Interaction (HCI) and User Experience (UX). He earned his BSc (2002) from University of Furtwangen and PhD (2008) from Robert Gordon University. Research Interests His work spans information retrieval, interactive information retrieval, personalisation, information search behavior, usability (UX), and virtual reality (VR). Recent publications focus on multimodal concept indexing, hybrid IR approaches, and contextual adaptation in search systems. Publication Trends His research combines statistical semantics, graph modeling, and multimodal data analysis across academic collaborations in Austria, Germany, and international venues like ECIR and SIGIR.

John McDonaldView profile

Professor

• Computer Vision
• Robotics
• Artificial Intelligence
• +4 more

John McDonald is a Professor in the Department of Computer Science at Maynooth University, where he has held a faculty position since 2001. He is affiliated with the Maynooth University Hamilton Institute and the Assisted Living and Learning Institute (ALL). His research focuses on computer vision, robotics, and AI, emphasizing spatial perception and autonomous systems. He has contributed to areas such as visual SLAM, intelligent vehicle systems, and digital holography, with funding from SFI, EU, and other agencies. Currently, he is a Funded Investigator in Lero (SFI Research Centre for Software) and collaborates on the SFI Blended Autonomy Vehicles Spoke. Key research themes include simultaneous localization and mapping (SLAM), robotic navigation, 3D reconstruction, and applications in autonomous driving. His work integrates cutting-edge techniques in computer vision and machine learning to address challenges in spatial intelligence and perception. Publications highlight advancements in dense mapping, fisheye camera systems, and geospatial analysis. He has held visiting roles at MIT’s CSAIL and the National Centre for Geocomputation. His contributions span academic journals, conferences, and technical reports, reflecting a strong emphasis on both theoretical and applied robotics research. John McDonald has supervised numerous research projects and contributed to initiatives like the John and Pat Hume Doctoral Scholarships. His work bridges academia and industry, with a focus on real-world applications of autonomous systems and AI-driven robotics.

Muhammad MuddasarView profile

Researcher

• Sustainable Materials
• Energy Harvesting
• Energy Storage
• +4 more

Muhammad Muddasar is a Researcher at the University of Limerick's School of Engineering, affiliated with the Bernal Institute. His primary research focuses on developing sustainable materials derived from lignin for energy harvesting and storage applications. Under the supervision of Professor Maurice Collins, he investigates advanced materials such as hydrogels, ionic conducting membranes, and carbon nanomaterials to enhance renewable energy systems. His work emphasizes reducing environmental impact through innovative synthesis techniques and lifecycle analysis. Key research areas include thermoelectric materials, bioenergy production, microbial electrolysis cells, and lignin valorization. Collaborations span topics like low-grade thermal energy recovery, supercapacitor optimization, and carbon fiber production improvements. Despite no explicit awards listed, his contributions include over 17 peer-reviewed publications between 2021-2025, showcasing impactful work in Materials Today Sustainability, Advanced Functional Materials, and ACS Applied Polymer Materials. His articles highlight trends in lignin-derived materials for energy applications, sustainable manufacturing, and nanomaterial-driven bioenergy systems. Active in international networks, his research bridges material science and renewable energy engineering, addressing global sustainability challenges.

Jonathan BonesView profile

Associate Professor

• Analytical Chemistry
• Biopharmaceutical Manufacturing
• Mass Spectrometry
• +3 more

Dr. Jonathan Bones is an Associate Professor in the School of Chemical and Bioprocess Engineering at University College Dublin (UCD) and Principal Investigator of the Characterisation and Comparability Group at NIBRT. His research focuses on analytical methods for biopharmaceuticals, including liquid chromatography-mass spectrometry (LC-MS) for protein characterization, glycomics, and process optimization. He holds a BSc and PhD in Analytical Chemistry from Dublin City University. His work has been recognized through inclusion in the Medicine Maker Power List. He leads a team of 18 researchers, supported by SFI, EI, and industry partnerships. Education: BSc in Analytical Science (Chemistry), Dublin City University PhD in Analytical Chemistry, Dublin City University Research Interests: Development of advanced LC-MS platforms for glycomics, proteomics, and bioprocess analysis. Key areas include: Quantitative proteomics/metabolomics for bioprocess monitoring Liquid phase separations for complex bioanalysis Process analytical technology (PAT) His group collaborates with ThermoFisher Scientific on analytical workflows for biopharmaceutical characterization. Articles Trends: Recent work emphasizes analytical methods for AAV vector characterization, biosimilar comparability via MAM/iMAM, and process clearance of excipients. Over 126 publications highlight his contributions to biopharmaceutical quality control and process understanding. Awards: Medicine Maker Power List (2023): Top 100 influential scientists in biopharmaceutical manufacturing and analysis Advising & Grants: Supervises PhD students in bioprocessing and analytical chemistry Funding from Science Foundation Ireland (SFI), Enterprise Ireland (EI), and EU FP7 Industry collaborations with ThermoFisher Scientific and Bristol Myers Squibb Labs & Teams: Leads the Characterisation and Comparability Lab at NIBRT, focused on cutting-edge analytical tools for bioprocess development and product quality assurance.

• Multiphase Flows
• Fluid-Structure Interaction
• Computational Fluid Dynamics
• +3 more

Yan Delaure is Associate Professor of Fluid Mechanics at Dublin City University's School of Mechanical and Manufacturing Engineering and Deputy Director of the DCU Water Institute. His research focuses on multiphase flows, environmental hydraulics, and computational fluid dynamics applications in wastewater treatment and marine systems. Research includes microbubble dynamics for aeration, fluid-structure interactions in deformable systems, and biomimetic antifouling solutions. Recent publications explore advanced simulation methods for turbulent flows and additive manufacturing process optimization.

• Machine Learning
• Medical Imaging
• Health Informatics
• +3 more

Aonghus Lawlor is an Assistant Professor/Lecturer in Computer Science at the School of Computer Science, University College Dublin. His roles include coordinating modules such as Software Engineering, Data Structures, Machine Learning, and Final Year Project Foundations. He holds an Orcid identifier: 0000-0002-6160-4639. His research focuses on machine learning applications in medical imaging (e.g., MRI, CT), sports science, and healthcare systems. Notable areas include AI-driven diagnostics, cybersecurity in radiology, and genomics for agricultural optimization. Recent work explores ChatGPT4-vision in MS progression, knee osteoarthritis grading via anomaly detection, and reinforcement learning in exercise prescriptions. Professional activities include committee roles in ACM Recommender Systems and Intelligent User Interfaces, grant assessments, and peer reviewing. He has published 137+ outputs, emphasizing interdisciplinary AI solutions with clinical and agricultural impact. Teaching responsibilities span foundational CS courses to advanced ML and project modules. No formal awards are listed, but his work demonstrates contributions to AI ethics, health informatics, and agricultural genomics.

James SweeneyView profile

Professor

• Machine Learning
• Time Series Analysis
• Geospatial Statistics
• +3 more

James Sweeney serves as Professor in the Department of Mathematics and Statistics at the University of Limerick, concurrently holding memberships in the Centre for Battery and Energy Materials Research and the Mathematics Applications Consortium for Science and Industry (MACSI). Actively accepting PhD students, his research bridges theoretical mathematics with practical industry applications across diverse sectors including energy materials, real estate, and public health. His research portfolio demonstrates exceptional interdisciplinary range, with core expertise in machine learning algorithms (particularly time series classification and neural networks), geospatial statistics for property valuation, and epidemiological modeling for disease surveillance. Key methodological contributions include evolutionary algorithms for optimization, dissimilarity-preserving representation learning, and flexible geospatial smoothing techniques that address complex real-world data challenges. Analysis of his 23 publications (2015-2024) reveals accelerating scholarly output since 2020, with 2024 being particularly prolific. His work consistently targets high-impact applications: developing diagnostic thresholds for bovine tuberculosis, modeling COVID-19 transmission dynamics in Dublin, and creating neural network solutions for geodemographic clustering. This trajectory reflects deepening engagement with computational approaches to solve pressing societal problems through mathematical innovation. As a PhD supervisor, he cultivates next-generation researchers in advanced computational methods. His collaborative framework extends through MACSI's industry partnerships and the Centre for Battery and Energy Materials Research, where mathematical modeling directly informs energy technology development. These dual affiliations position him at the critical intersection of academic research and industrial application, particularly in Ireland's growing tech and energy sectors. His laboratory activities center around computational mathematics teams within MACSI, focusing on applying statistical learning to battery materials research and real-world data challenges. Current projects involve time series analysis for sensor data, geospatial modeling for economic forecasting, and optimization algorithms for veterinary epidemiology – demonstrating remarkable methodological versatility across traditionally disparate domains.

• Process Analytical Technology (PAT)
• Food and Bioproducts Processing
• Bioprocessing
• +5 more

Colm O'Donnell is a Full Professor at the School of Biosystems and Food Engineering, University College Dublin (UCD). He leads the Food Quality and Processing Pillar at UCD's Institute of Food & Health and has held roles including Head of the School and Vice-Principal for Teaching & Learning in the College of Engineering & Architecture. His research focuses on Process Analytical Technology (PAT), bioprocessing, and dairy technology, with emphasis on spectroscopy, bioactive compound extraction, and food safety. He coordinates EU-funded projects like DiTECT and FreshProof, and leads the UCD team in the Dairy Processing Technology Centre (DPTC). O'Donnell is a Fellow of the Irish Academy of Engineering and has been recognized as a Thomson Reuters Highly Cited Researcher. Education: BE and PhD from University College Dublin, Chartered Engineer (CEng). Research Interests: PAT for food/bioproducts, dairy processing innovations, and bioactive extraction from seaweeds. His group develops non-destructive technologies like NIR-HSI and acoustic sensors for real-time quality monitoring in food production. Grants: Over 40 grants including EU Horizon 2020, Marie Sklodowska-Curie, and industry partnerships. Recent projects include acoustic sensor development for milk protein concentrate (2020-2022) and seaweed biorefinery processes (2018-2023). Awards: Irish Academy of Engineering Fellowship (2022), EU Comett Fellowship, and editorial roles at International Journal of Food Properties and Food Engineering Reviews . Labs/Teams: Leads the PAT-focused research group at UCD's Institute of Food & Health, collaborating with industry partners like DPTC and global academic networks.

• Uncertainty Quantification
• Civil Engineering Systems
• Resilience Engineering
• +5 more

Rui Teixeira is an Assistant Professor in the School of Civil Engineering at University College Dublin (UCD). He leads UCD's Centre for Critical Infrastructure Research (CCIR) and focuses on Uncertainty Quantification, Safety, and Risk in civil engineering systems, with applications to infrastructure resilience. His research emphasizes reliability analysis, multi-fidelity modeling, and AI-driven risk assessment. Education: MSc in Civil Engineering, University of Porto, Portugal PhD in Civil Engineering, Trinity College Dublin Professional Certificate in University Teaching and Learning, UCD Research Interests: Development of novel reliability analysis techniques Resilience of infrastructure systems Artificial intelligence applications for risk assessment Probabilistic system evaluation and safety standards Grants & Projects: Smart Enforcement of Transport Operations (SETO), Horizon Europe (2023–2026) Optimality-Tracking Civil Engineering Systems, Enterprise Ireland (2023–2025) Floating Offshore Wind Dynamic Cables (FlOWDyn), Sustainable Energy Authority of Ireland (2024–2027) Teaching: Coordinates courses such as 'Civil Engineering Systems' and 'Design of Structures 1'. Labs/Teams: Director of the Centre for Critical Infrastructure Research (CCIR), focusing on interdisciplinary approaches to infrastructure resilience.

• Nanomaterials Synthesis
• Hydrothermal Synthesis
• Photocatalytic Materials
• +3 more

Dr. Peter Dunne is an Assistant Professor in Inorganic Energy Materials at Trinity College Dublin's Department of Chemistry. His research focuses on sustainable nanomaterials synthesis, particularly hydrothermal and solvothermal methods for producing inorganic nanocrystals. He has expertise in photocatalytic materials, layered double hydroxides, and 2D nanocomposites for water purification. Dunne's work emphasizes scalable production techniques and environmental impact assessment of nanomaterials. Education: BSc (Hons) Chemistry, National University of Ireland, Galway (2005) PhD in Chemistry, National University of Ireland, Galway (2009) Research Interests: His research integrates sustainable synthesis methods with advanced material characterization, emphasizing: Development of carbon dots from seaweed derivatives for optoelectronics Continuous-flow hydrothermal systems for energy materials Environmental lifecycle analysis of nanomaterial production Photocatalytic activity of transition metal-doped nanocrystals Current Project: Leading the SEAI-funded C-Weed project (2023–2026), exploring seaweed-derived carbon dots for energy applications like LEDs and photovoltaics. This work addresses sustainable materials design and renewable energy needs. Awards: No specific awards listed, but active in professional societies including the American Chemical Society. Grants/Labs: Recipient of SEAI funding for C-Weed project. Collaborates with international teams on nanomaterials projects, particularly in energy and environmental applications.

• Machine Learning
• Artificial Intelligence
• Virtual Reality
• +3 more

Simon Colreavy Donnelly is an Associate Professor in the Department of Computer Science & Information Systems at the University of Limerick. He is a member of the Interaction Design Centre and focuses on interdisciplinary research at the intersection of artificial intelligence, educational technology, and healthcare informatics. His work spans machine learning applications in medical data analysis, virtual reality (VR) and extended reality (XR) for inclusive education, and deep learning techniques in chemical analysis and spectroscopy. Research Interests: His primary areas of investigation include generative AI for education equity, semisupervised learning algorithms, virtual learning environments design, and the ethical deployment of immersive technologies in healthcare and palliative care. He also explores NMR spectroscopy analysis using deep learning and develops tools for nutritional content estimation through image processing. Collaborations: His recent collaborations span international teams addressing challenges in toxicity-free online discourse (PAN 2024), semisupervised learning distribution mismatches, and VR applications for post-pandemic blended learning. His work integrates computational methods with real-world applications in education, healthcare, and chemical analysis. Labs/Teams: Active within the Interaction Design Centre at UL, his research group develops practical solutions for accessibility in digital education and healthcare systems, emphasizing user-centered design principles for extended reality applications.