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Noel O'DowdView profile

Professor

• Computational Mechanics
• Fracture Mechanics
• Materials Behaviour
• +4 more

Noel O'Dowd is a Professor at the University of Limerick, holding dual affiliations with the Bernal Institute and the School of Engineering. His research focuses on Computational Mechanics, Fracture Mechanics, Materials Behaviour, and Structural Integrity, with a particular emphasis on composite materials, metallic alloys, and advanced manufacturing processes. He has contributed extensively to understanding material behavior under extreme conditions, including thermal aging, mechanical fatigue, and microstructural evolution. Prof. O'Dowd’s expertise spans experimental and computational methods, including finite element analysis (FEA), machine learning for material modeling, and in-situ microscopy techniques. His work addresses challenges in aerospace, energy, and biomedical engineering sectors, aligning with UN Sustainable Development Goals related to infrastructure and industry innovation. Recent research trends include optimizing manufacturing processes via neural networks, analyzing interfacial properties of bio-based composites, and investigating phase transformations in high-performance steels. He collaborates internationally, with studies often involving advanced materials characterization and multiscale modeling. Prof. O'Dowd has authored over 210 publications and serves on editorial boards of materials science journals. His lab, affiliated with the Bernal Institute, focuses on bridging computational and experimental approaches to advance structural integrity and material innovation.

Marija BezbradicaView profile

Associate Professor

• Educational Analytics
• Computational Finance
• Complex Systems
• +2 more

Dr. Marija Bezbradica serves as Associate Professor and COMBUS Programme Board Chair at Dublin City University's School of Computing. Her research bridges computational finance, educational analytics, and complex systems modeling. Key research areas include financial risk modeling using Bayesian methods, educational data mining for programming courses, and healthcare analytics for infection control. She holds affiliations with ADAPT (FinTech research), ARC-SYM (complex systems modeling), and Lero (software engineering). Recent publications demonstrate cross-disciplinary applications, spanning cryptocurrency market analysis, hospital readmission prediction, and synthetic data generation for medical conditions. Work frequently employs machine learning, graph-based methods, and advanced statistical modeling. No information is available regarding awards, supervised students, or specific laboratory facilities.

Renaat VerbruggenView profile

Assistant Professor

• Software Testing
• Privacy
• Ethics in Computing
• +1 more

Renaat Verbruggen is an Assistant Professor at Dublin City University's School of Computing within the Faculty of Engineering and Computing. He specializes in software engineering with research interests spanning software testing methodologies, privacy frameworks, and ethical considerations in computing systems. His academic background includes a B.Comm, Master in Management Science from UCD, and a Master in Applied Information Systems from Katholieke Universiteit Leuven. Verbruggen teaches courses like Professional and Research Practice (CA640), Systems Analysis (CA214), and Software Process Quality (CA650), emphasizing SSADM, UML, and Agile approaches. His industry collaborations include action-research projects with Microsoft, Ericsson, and other multinationals focusing on software metrics, object-oriented testing, and legacy system integration. Through publications examining rapid application development, security testing, and dementia-related assistive technologies, his work bridges academic research and practical industry solutions. Verbruggen maintains active engagement in software engineering communities through lectures and workshops.

Nadine KammerlanderView profile

Professor

• Entrepreneurship
• Innovation
• Family Businesses
• +3 more

Prof Nadine Kammerlander is a globally recognized scholar affiliated with WHU Otto Beisheim School of Management, Germany. She serves on the Scientific Committee of the DCU National Centre for Family Business and holds editorial roles at Family Business Review , Entrepreneurship Theory & Practice , and the Journal of Management . Her research focuses on entrepreneurship, innovation, and family business dynamics. Education details are not explicitly provided in the text, but her academic roles imply advanced qualifications in business or management disciplines. Her research has been published in top-tier journals such as the Academy of Management Journal and Entrepreneurship Theory & Practice . Prof Kammerlander has received prestigious awards including recognition by Capital Magazine’s “Top 40 under 40” and Wirtschaftswoche’s “Top 100 economics researchers under 40.” She contributes to policy through her membership in the commission revising the Code of Conduct for Family Enterprises. No specific grants or advising details are mentioned, but her editorial and committee roles highlight her leadership in academic and professional networks. She is actively involved in shaping research and standards in family enterprise management.

Eoin HinchyView profile

Associate Professor

• Manufacturing Engineering
• Advanced Robotics
• Machine Learning
• +3 more

Dr. Eoin Hinchy is an Associate Professor at the University of Limerick (UL), affiliated with the School of Engineering, Bernal Institute, and the Centre for Sustainable Digital (Re)Manufacturing. His research focuses on digital manufacturing, advanced robotics, and additive manufacturing, with emphasis on robotic safety systems and machine learning applications. He holds a PhD in Mechanical Engineering from UL (2016) and previously worked at DePuy Synthes and Confirm Smart Manufacturing. His work integrates digital twin technology, robotics, and 3D printing to enhance manufacturing processes. He leads an SFI-ADI co-funded project on human-robot interaction in factories. Teaching interests include advanced manufacturing processes, industrial robotics, and smart manufacturing systems. He has published extensively on topics such as 4D printing, composite material processing, and machine learning in manufacturing quality control. Recent research trends include the development of adaptive materials for 3D printing, robotic drilling optimization, and digital twin frameworks for life sciences automation. His collaborative projects with industry partners like Analog Devices International aim to advance factory-of-the-future technologies.

Jim BuckleyView profile

Professor

• Software Reengineering
• Empirical Software Engineering
• Information Seeking in Software Engineering
• +7 more

Jim Buckley is a Professor in the Department of Computer Science & Information Systems at the University of Limerick, and a Principal Investigator at Lero – the Irish Software Research Centre. He holds a BSc in Biochemistry from the National University of Ireland, Galway (1989), followed by an MSc (1994) and PhD in Computer Science (2002) from the University of Limerick. His research focuses on software reengineering, empirical software engineering, and source code analysis, with notable contributions to clone detection, software architecture recovery, and AI-driven code generation. He led the TREES Centre, a €6M industry-funded initiative, and currently oversees three research teams at Lero investigating large-scale clone detection, deep learning architecture recovery, and AI-generated source code. His work intersects technical innovation with societal impact, such as ethical software engineering and pandemic response technologies like contact tracing apps. Key research themes include software architecture consistency, feature location, and developer experience optimization. He has published over 118 peer-reviewed articles and received a Research Impact award from Lero. His contributions span open-source tool development, empirical studies in software practices, and interdisciplinary projects addressing global challenges like public health and cryptocurrency equity. Education: BSc Biochemistry, National University of Ireland, Galway (1989) MSc Computer Science, University of Limerick (1994) PhD Computer Science, University of Limerick (2002) Awards: Research Impact Award, Lero (2021) Labs/Teams: TREES Centre (Trustworthy, Responsible, Efficient Engineering of Software) Three core Lero teams: Clone Detection, Architecture Recovery, and AI-Code Generation

• Consciousness Studies
• Cognitive Neuroscience
• Neuroimaging
• +3 more

Professor Lorina Naci is a leading academic in Psychology and Neuroscience at Trinity College Dublin (TCD), where she leads the 'Consciousness and Cognition Group' and serves as a Fellow of Trinity College. She holds a PhD from the University of Cambridge, awarded as an International Cooke Fellow. Her research focuses on developing biomarkers for cognition and consciousness in brain-injured and aging populations, including Alzheimer's patients, and explores medico-ethical implications of neuroimaging-based communication tools for non-responsive patients. Affiliations: Trinity College Dublin, Trinity Institute of Neurosciences (TCIN), Global Brain Health Institute (with UCSF). Education: PhD in Psychology (University of Cambridge, 2010). Her groundbreaking work includes detecting covert awareness in vegetative state patients via neuroimaging and pioneering brain-computer interfaces for communication. She has secured €995,990 in recent grants, including HRB and Science Foundation Ireland awards. Key contributions include changing clinical practice guidelines for consciousness assessment and influencing policy frameworks globally. Research interests span disorders of consciousness, dementia prevention, neuroimaging techniques, and ethics of neuroscience applications. Her work has been featured in Nature , Science , and over 200 media outlets worldwide. Awards: L'Oréal for Women in Science Fellowships (2016-2017), UNESCO Rising Talent Award, and multiple grants from HRB, SFI, and others. Grants: Lead PI on €31.5M 'TITAN' research centre proposal, SFI Frontiers Award (€1M pending). Her lab’s current projects include the PREVENT-Dementia study, the largest midlife cohort investigating dementia origins, and developing biomarkers for early Alzheimer’s detection. She actively engages in public science communication through media interviews and policy advocacy.

Saleema PandaView profile

Professor

• Nonlinear Finite Element Analysis
• Structural Engineering
• Granular Flow Dynamics
• +3 more

Saleema Panda is a Professor in the Department of Civil Engineering & Construction at Atlantic Technological University (ATU) Sligo, Ireland. She specializes in structural dynamics, nonlinear finite element analysis, granular flow mechanics, and earthquake engineering. Her work bridges computational methods with practical applications in resilient infrastructure design and material science. Education: PhD in Nonlinear Finite Element Analysis (National Institute of Technology Rourkela, 2019). She has authored over 13 peer-reviewed articles addressing topics such as seismic resilience, granular segregation control, and advanced finite element methodologies. Research interests focus on: (1) Dynamic behavior of stiffened plates under extreme loads (2) Granular flow dynamics in industrial systems (3) Soft computing techniques for seismic prediction (4) Sustainable materials innovation. Notable contributions include hybrid TMD-TLD systems for MDOF structures and recycled plastic-based acoustic materials. Collaboration highlights include granular flow studies with experts like D.S. Tan, and structural dynamics research with A. Pandit and others. Active in PhD supervision and has contributed to 49 citations with an h-index of 49. Labs/Teams: Engaged in computational mechanics and granular materials research groups at ATU Sligo.

Natalie CulliganView profile

Assistant Professor

• Computer Science Pedagogy
• Data Analysis
• Media
• +1 more

Natalie Culligan is an Assistant Professor/Lecturer at Maynooth International Engineering College, affiliated with the Faculty of Science & Engineering at Maynooth University. She holds a PhD in Computer Science and has cross-disciplinary teaching roles across Computer Science, Engineering, Media, and Philosophy departments. Her research focuses on pedagogical coding environments, data analysis in education, and digital media technologies. Education: PhD in Computer Science, Maynooth University (funded by John and Pat Hume and Irish Research Council Scholarships) Sound Engineering, Ballyfermot College of Further Education Research: Her PhD work, “Two Roads Diverge: Mapping the Path of Learning for Novice Programmers…” , utilized large-scale data and neural networks to study student learning in coding environments like MULE (Maynooth University Learning Environment). Current interests include Virtual Reality, Digital Visual Technology, and Media Convergences. Awards: John and Pat Hume Postgraduate Award Irish Research Council Postgraduate Scholarship Teaching & Grants: Taught modules in Introduction to Programming, Photoshop, Philosophies of the Digital Age, and VR technologies. Holds a Professional Certificate in Teaching and Learning from Maynooth University. Research funded through postgraduate scholarships. Labs/Teams: Developed the MULE coding environment as part of her PhD research, integrating pedagogy and data science.

Sinead MigginView profile

Assistant Professor

• Immunology
• Biochemistry
• Molecular Biology
• +3 more

Dr. Sinead Miggin is an Assistant Professor in the Department of Biology at Maynooth University, affiliated with the Human Health Institute and the Immune Signalling Lab. She holds a PhD in Biochemistry from University College Dublin (2000) and a Postgraduate Diploma in Higher Education (2015). Her research focuses on molecular mechanisms of innate immune responses via Toll-like receptors (TLRs), particularly their role in chronic inflammatory diseases like Rheumatoid Arthritis, Osteoarthritis, and Type 2 Diabetes. Her work employs proteomics and molecular immunology to identify novel TLR modulators. Key affiliations include Maynooth University’s Faculty of Science & Engineering and the Kathleen Lonsdale Institute for Human Health Research. Her publications span over two decades, with recent emphasis on cytokine profiling in pre-diabetic states, TLR-mediated inflammation, and non-coding RNA roles in cancer. She has contributed to conferences on TLR signaling and inflammation mechanisms. Advising and grants: No specific grants or student advisees listed, though her role as Principal Investigator suggests leadership in collaborative research projects. Her lab focuses on immune signaling pathways with implications for both inflammatory diseases and antiviral immunity.

• Sustainable Supply Chain Management
• Operations Management
• Social Sustainability
• +3 more

Mark Pagell is a Full Professor of Global Leadership and Sustainable Supply Chain Management at the School of Business, University College Dublin. He holds a PhD in Operations and Sourcing Management from Michigan State University (1997). His research focuses on sustainable supply chains, occupational safety, social sustainability, and ethical practices in supply networks. He served as Co-Editor-in-Chief of the Journal of Supply Chain Management (2016–2022) and received the Distinguished Scholar Award from the OSCM Division of the Academy of Management (2020). Pagell has authored over 100 peer-reviewed articles in top journals like Management Science and Journal of Operations Management , earning multiple awards for his work. His research explores paradoxes in supply chains, such as balancing social and commercial objectives, and addressing precarious work conditions. He has pioneered studies on temporary workers' impact on innovation, IT-enabled supply chain integration, and the role of social enterprises in fostering DEI. Pagell also led a Marie Curie Fellowship project (2009–2010) on sustainable supply chain management. Education: PhD in Operations and Sourcing Management, Michigan State University (1997) Awards: Emerald Citations of Excellence, Best Paper Awards in multiple journals Teaching: Coordinates modules like Applied Sustainable SCM Analytics , Sustainable Logistics , and Sustainable Production and Consumption . Pagell’s work bridges theory and practice, emphasizing actionable solutions for socially and environmentally sustainable supply chains. His recent studies address post-growth paradigms, cost-effective charity operations, and the ethical dilemmas in financially distressed firms.

Jens RauchView profile

Assistant Professor

• Cancer Biology
• Melanoma
• Signal Transduction
• +7 more

Jens Rauch is an Assistant Professor at the School of Biomolecular and Biomedical Science, University College Dublin, and serves as Group Leader at Systems Biology Ireland. His research focuses on understanding drug resistance mechanisms in malignant melanoma, particularly through RAS/RAF/MEK/ERK (MAPK) signaling pathway dynamics and scaffold protein interactions. He employs proteomics, CRISPR/Cas9, and computational modeling to identify network adaptations and develop personalized therapeutic strategies. Research Highlights: Investigating eIF4F complex's role in MAPK pathway regulation Decoding RAF kinase dimerization mechanisms and drug resistance Developing combination therapies for BRAF/NRAS mutant melanomas Exploring spatial regulation of signaling pathways via subcellular localization Professional Involvement: Member of multiple scientific committees (Systems Biology Ireland, BSc Biomedical Health Committee) Active participant in Society for Melanoma Research and European Association for Cancer Research Recipient of research grants including SBBS MSc funding and Biotech Research Projects

Charles MarkhamView profile

Associate Professor

• Computer Science
• Biomedical Engineering
• Machine Vision
• +5 more

Dr. Charles Markham is an Associate Professor in the Department of Computer Science at Maynooth University's Faculty of Science & Engineering. He graduated with a degree in Applied Physics from Dublin City University and earned his PhD in element specific imaging in computerised tomography. His research spans novel imaging systems, biomedical instrumentation, and human-computer interaction with a strong focus on brain-computer interfaces and motion capture technologies. Research Affiliations: Hamilton Institute, ALL Institute Teaching: Robotics, Computer Graphics, Advanced Computer Architecture Professor Markham's research interests center on novel imaging technologies including coded aperture imaging and wide-baseline stereo systems, motion capture and wearable computing with applications in rehabilitation, and mobile machine vision for driving simulation and augmented reality. His work with the Mathematics and Statistics Ecology group demonstrates interdisciplinary interests in ecological modelling . His publication record shows consistent contributions to brain-computer interfaces (2007-2011), driver behavior analysis (2014-2021), motion capture systems (2006-2009), and optical imaging techniques (2001-2008). The research spans multiple disciplines including neuroscience, biomedical engineering, and ecological mathematics. He has supervised several graduate students including D. Kelly (2009 thesis on sign language recognition) and J. Foody (2007 thesis on motion capture biofeedback systems). His collaborations extend across institutions with partnerships at TU Dublin and University College Dublin.

Jim BuckleyView profile

Professor

• Software Engineering
• Software Evolution
• Artificial Intelligence for Software Engineering
• +5 more

Jim Buckley is a Professor in the Computer Science and Information Systems Department at the University of Limerick, Ireland, and a Principal Investigator in Lero. He leads the ARC research group focused on software evolution and legacy system modernization, with significant industry collaborations including Huawei, IBM, and Fidelity. Education: BSc in Biochemistry, University of Galway (1989) MSc in Computer Science, University of Limerick (1994) PhD in Computer Science, University of Limerick (2002) Research Focus: His work centers on AI-enhanced software engineering (AI4SE/SE4AI), featuring breakthroughs in clone detection, software architecture evaluation, and feature location. He has developed industry-adopted tools for software comprehension and evolution, with recent emphasis on explainable AI (XAI) and scalable neural network applications for industrial codebases. His research consistently bridges academic rigor with industrial implementation. Publication Trends: Recent articles (2022-2025) reveal a dominant shift toward AI-driven software engineering solutions, particularly in clone detection and architecture recovery. Key themes include industrial scalability, developer experience optimization, and responsible AI integration, with strong representation in top-tier venues like IEEE Transactions and ACM Computing Surveys. Scientific Awards: No awards specified in source material. Grants & Industry Impact: Leads the Huawei-funded TREES Programme and maintains active partnerships with 9+ companies. His research has yielded licensed tools (e.g., for legacy system evolution), two IP assignments from LLM-based clone detection work, and practical frameworks adopted by seven Irish enterprises. Research Infrastructure: Directs the ARC group within Lero, which combines academic researchers and industry practitioners to address real-world software maintenance challenges through empirical studies and tool prototyping.

Nadeem RatherView profile

Research Fellow

• Electromagnetic Systems
• RF Technologies
• AI Algorithms
• +3 more

Nadeem Rather is a Research Fellow at the Wireless Communications and AI Research Lab, Tyndall National Institute, University College Cork (UCC), Ireland, where he has conducted research since 2019. His work focuses on developing AI-driven electromagnetic systems with emphasis on RF technologies and intelligent antenna design. His academic background includes: Bachelor’s degree in Electronics and Communication Engineering Research Master’s degree in Communication Systems PhD from University College Cork (2024) Dr. Rather’s research integrates advanced AI algorithms with electromagnetic systems to optimize RF components for emerging IoT applications. His work spans chipless RFID, NFC sensor networks, and adaptive antenna design, addressing challenges in spectrum efficiency, robust detection, and practical implementation across agriculture, healthcare, and cultural heritage domains. He bridges theoretical electromagnetic modeling with real-world sensor deployment. His publication trend reveals a concentrated focus on machine learning for electromagnetic systems, particularly in chipless RFID and NFC applications. Recent works demonstrate innovative approaches to spectrum utilization, tag design, and robust detection techniques using deep learning architectures like U-Net, with significant contributions to agricultural monitoring, museum preservation, and animal health tracking. His scientific achievements have been recognized through: Best Application of AI in a Student Project (AI Awards Ireland) Wrixon Research Excellence Bursary Postgraduate Publication of the Year Awards (2020, 2023) Best Student Research Paper, International Workshop on Antenna Technology (2021) Best Demonstration Award, VistaMilk Conference (2023) As an active IEEE Member, Dr. Rather contributes to the Wireless Communications and AI Research Lab’s mission of advancing electromagnetic systems through AI. His current projects include transparent epidermal antennas for human-centric IoT and battery-less NFC sensors for health monitoring, with demonstrated impact in cattle health tracking and museum artifact preservation.