جست‌وجوی استاد و پژوهشگر

• Physics of Complex Systems
• Self-Assembly Processes
• DNA Nanotechnology
• +۱ مورد دیگر

Constantine Evans is a Research Fellow at the Hamilton Institute, Maynooth University, focusing on the physics of complex self-assembly processes. His work examines how simple particles organize into intricate structures through algorithmic self-assembly, with applications in DNA nanotechnology and computational modeling. Institution: Maynooth University Research Unit: Hamilton Institute Location: Eolas Building, 3rd Floor, Office 339 Research Interests: Evans investigates non-equilibrium self-assembly systems, particularly DNA tile crystal growth and kinetic control mechanisms. His research bridges physics, computational theory, and molecular engineering to uncover unexpected behaviors in basic physical processes. Publication Trends: His recent work (2018-2024) demonstrates interdisciplinary advancements in DNA computing, focusing on proofreading systems, tile compiler optimization, and kinetic modeling. These publications span peer-reviewed journals, conference proceedings, and algorithmic frameworks that connect theoretical computer science with experimental biophysics. Labs & Teams: He is affiliated with the Hamilton Institute, a research center specializing in systems biology, computational modeling, and interdisciplinary scientific investigations.

Md Noor-A-Rahimمشاهده پروفایل

استادیار

• Intelligent Transportation Systems
• Machine Learning
• Internet of Things
• +۴ مورد دیگر

Dr. Md Noor-A-Rahim is an Assistant Professor (Lecturer-Above the Bar) at the School of Computer Science and Information Technology, University College Cork (Ireland). He previously served as a Senior Researcher and Marie Curie Fellow at the same institution. His academic journey includes a PhD from the University of South Australia (2015) and the prestigious Michael Miller Medal for his outstanding thesis on wireless communication systems. His research focuses on Intelligent Transportation Systems, Machine Learning, IoT, Wireless Networks, and DNA-based data storage. He has published extensively on topics like 6G-V2X systems, time-sensitive networking, and error characterization in DNA storage. His work integrates cutting-edge technologies such as intelligent reflecting surfaces (IRS), federated learning, and ultra-reliable low-latency communication (URLLC). Research Interests : Dr. Rahim's research bridges theoretical advancements and real-world applications in vehicular networks, smart manufacturing, and next-generation communication systems. He explores challenges in autonomous driving, edge computing, and bio-constrained data storage. His contributions include novel coding schemes for anytime transmission and frameworks for mitigating big vehicle shadowing in V2X communications. Key Publications : His recent work includes a comprehensive survey on wireless TSN (2025), analysis of 6G-V2X systems (2022), and breakthrough studies on DNA data storage error modeling (2023). These publications highlight his expertise in both foundational research and industry-relevant solutions. Awards : Recipient of the Michael Miller Medal (2015) for doctoral research excellence. Grants & Labs : While specific grants are not listed in the text, his research portfolio suggests involvement in collaborative projects with industry partners and funding bodies. He leads interdisciplinary efforts in smart manufacturing and vehicular communication systems.

Caroline Brophyمشاهده پروفایل

استاد

• Statistics
• Ecology
• Agricultural Science
• +۳ مورد دیگر

Caroline Brophy is a Professor in Statistics at the School of Computer Science and Statistics, Trinity College Dublin, Ireland. She lectures undergraduate and postgraduate modules, supervises student projects, and leads interdisciplinary research initiatives. As Head of Statistics and Information Systems, she oversees academic and administrative operations within her domain. Her research focuses on developing non-standard statistical models for ecological, agricultural, and environmental applications, particularly in modeling biodiversity-ecosystem function relationships and enhancing agricultural sustainability through species diversity. She is the lead Coordinator of the Marie-Curie Doctoral Network LegumeLegacy and Principal Investigator for the Research Ireland Frontiers for the Future project STRIVE . Funded Investigator with ADAPT and VistaMilk Research Ireland Centres Co-Director of LegacyNet , a global experimental network Her research group includes postdoctoral researchers, PhD students, and visiting researchers collaborating on projects like Multi4More , E3 Kinsella FOREST , and EthiopiaGrass . She has previously worked on plant reproductive allometry, species competition, and nitrate leaching dynamics.

• Smart Cities
• Geovisual Analysis
• Urban Dynamics
• +۵ مورد دیگر

Dr. Gavin McArdle is an Associate Professor at the University College Dublin (UCD) School of Computer Science, specializing in spatial data analysis and smart cities. He holds academic affiliations with the National Centre for Geocomputation (Maynooth University) and CeADAR (Data Analytics Centre). His research focuses on urban dynamics, geovisual analytics, smart transportation, and remote sensing applications. He has received a College of Science Teaching Excellence Award for his contributions to education. McArdle earned his BSc, PhD, and a Prof Dip in University Teaching & Learning from UCD. His work bridges academia and industry through collaborative grants, including those from Science Foundation Ireland and EU funding. Notable projects include the Dublin Dashboard (urban analytics platform) and DubSim (traffic simulation using digital footprints). His research outputs span over 147 publications, with recent work addressing Airbnb's impact on urban gentrification, sustainable mobility, and environmental monitoring via satellite data. He actively contributes to professional committees, including roles in the UCD Data Protection Impact Assessment Committee and international conferences like Web and Wireless GIS. McArdle coordinates courses such as Research Practicum and Computer Programming II, emphasizing practical research and technical skills. His interdisciplinary approach integrates machine learning, spatial statistics, and urban informatics to address real-world challenges in smart cities and environmental sustainability.

George O'Mahonyمشاهده پروفایل

مدرس

• Cybersecurity
• Cyber Resilience
• Network Security
• +۸ مورد دیگر

Dr. George O'Mahony serves as Head of Department of Computer Science at Munster Technological University (MTU) and is a CONNECT Associate Investigator with Research Ireland. He leads Ireland's Cyber Range infrastructure development and acts as WorldSkills Ireland Expert for Cybersecurity Skill 54, driving national cybersecurity initiatives through academia-industry collaboration. Education: B.E. in Electrical and Electronic Engineering, University College Cork (UCC) Ph.D. in Electrical and Electronic Engineering, University College Cork (UCC), 2021 His research pioneers cyber resilience frameworks for OT/IoT systems, zero-trust architectures, and machine learning applications in anomaly detection. He develops low-complexity security solutions for resource-constrained edge devices, with emphasis on wireless sensor networks, GPS applications, and penetration testing methodologies. His work bridges theoretical innovation with practical infrastructure implementation. Recent publications reveal accelerating focus on quantum-resistant cryptography, MQTT-ZT secure brokers, and unified cyber resilience models. His scholarly output consistently addresses interference detection in wireless networks while expanding into satellite communications security and AI-driven network customization, reflecting strategic adaptation to emerging cyber threats. Research Leadership: CONNECT: Associate Investigator advancing cyber security research NCF Cyber Shock: Co-Principal Investigator Cyber Explore: Principal Investigator at MTU Cyber Range: National infrastructure lead (mobile/cloud) Horizon Telemetry: Core research team member As STEM advocate and Cyber Futures Academy contributor, O'Mahony shapes cybersecurity education through WorldSkills Ireland engagement and industry-focused cyber range deployments that serve academic, governmental, and commercial sectors.

Aysegul Liman-Kabanمشاهده پروفایل

استادیار

• Immersive Learning (AR/XR/Gamification)
• STEM Education
• Teacher Digital Competencies
• +۷ مورد دیگر

Aysegul Liman-Kaban serves as an Assistant Professor in ICT/Digital Learning STEM Education at Maynooth University. Her work focuses on integrating immersive technologies like augmented reality, gamification, and AI into educational practices. She actively supervises PhD students and leads international research projects such as MIXAP-EU and From AI Anxiety to Empowerment. Education: Not explicitly stated in provided text Her research interests span: Immersive learning technologies (AR/XR, digital escape games) AI in education and generative AI applications Teacher digital competencies and professional development Flipped learning and multimedia pedagogy Ethical challenges in AI research Blended learning practices Recent publications demonstrate a focus on gamification, mixed reality, and AI applications in education, with methodological expertise in structural equation modeling, mixed methods research, and task-based learning analysis. She contributes to journals like Smart Learning Environments and Higher Education Quarterly . Key activities include: Organizing international conferences on STEAM education Leading EU-funded research on immersive learning tools Developing open-source educational technologies Pioneering generative AI integration frameworks

Mathieu Mercadierمشاهده پروفایل

استادیار

• Business Analytics
• Machine Learning
• Statistics
• +۴ مورد دیگر

Dr. Mathieu Mercadier is an Assistant Professor of Business Analytics at Dublin City University Business School, Ireland. He serves as Programme Chair for the MSc and Graduate Diploma in Business Analytics. His research focuses on Business Analytics, Machine Learning, Financial Risk Management, and Sustainable Finance. Education: PhD in Economics from Université de Limoges, France, specializing in Machine Learning applied to Banking and Finance. He has ten years of industry experience as a Market Finance Consultant. Research interests include applying Machine Learning to banking risk, sustainable finance, and quantitative finance. His work spans statistical modeling for financial stability, algorithmic risk assessment, and ESG fund evaluation. Key trends in his articles involve quantum-enhanced machine learning for stock forecasting, systemic risk measurement, and pandemic impact analysis. No scientific awards listed. Advising and grants: No formal grants or student advisees mentioned. Active in curriculum development for business analytics programs. Engaged in international conferences and seminars. Labs/Teams: Not explicitly stated in provided data.

• Comparative Politics
• Electoral Systems
• Political Parties
• +۳ مورد دیگر

Thomas Daubler is an Assistant Professor at University College Dublin's School of Politics and International Relations, specializing in Comparative Politics, Electoral Systems, and Political Behavior with a focus on European democracies. He holds a PhD from Trinity College Dublin and a Postgraduate Certificate in Higher Education from the London School of Economics. His research integrates applied statistical modeling to analyze parliamentary behavior, candidate selection, and policy representation. University College Dublin: Assistant Professor (2020–present), Director of Research (2021–2023) University of Mannheim: Postdoctoral Researcher (2012–2019) London School of Economics: Fellow in European Politics (2011–2012) His work spans electoral systems' impact on political accountability, gender equality in candidate selection, and voter behavior in preferential-list systems. Articles highlight trends in Electoral Reform , Party Politics , and Policy Representation across Belgium, Czech Republic, Germany, Ireland, Sweden, and Switzerland. Grants include the Ad Astra Start-Up and DFG-funded research on personalized vote dynamics. Professional roles involve extensive journal reviewing and grant assessment .

• Artificial Intelligence
• Machine Learning
• Medical Imaging
• +۴ مورد دیگر

Prof Noel O'Connor is a Full Professor at Dublin City University's School of Electronic Engineering, specializing in cutting-edge research at the intersection of artificial intelligence (AI), medical imaging, robotics, and smart city technologies. His work spans applications such as cardiac MRI reconstruction, robotic manipulation using reinforcement learning, and the development of the Smart DCU Digital Twin for autism-friendly university environments. Research interests include AI-driven medical diagnostics, multimodal data fusion, and adaptive systems. His contributions to cardiac MRI reconstruction and transformer-based medical imaging analysis reflect a strong focus on healthcare innovation. He also explores ethical AI practices to reduce social bias in foundation models. Recent work emphasizes smart infrastructure projects, such as optimizing parking recommendations for electric vehicles and enhancing accessibility through digital twin frameworks. His research often integrates real-time sensor data and multi-agent systems to address complex urban challenges. No scientific awards are listed. Collaborations include the ASU-DCU International Research Program on Sensors and Machine Learning. Advising details and grant information are not explicitly provided.

• Natural Computing
• Financial Modelling
• Operations Research
• +۳ مورد دیگر

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. Gharbiaمشاهده پروفایل

استاد

• Climate Resilience
• Environmental Monitoring
• Environmental Modeling
• +۳ مورد دیگر

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.

• Comparative Politics
• Electoral Systems
• Political Parties
• +۲ مورد دیگر

Liam Weeks is a full-time Lecturer in the Department of Government at University College Cork (UCC), Ireland. He holds a PhD in Political Science from Trinity College Dublin (TCD) and has an extensive academic background including a Postgraduate Diploma in Statistics (TCD, 2004) and a Postgraduate Certificate in Teaching and Learning in Higher Education (UCC, 2009). His research focuses on comparative and Irish politics, particularly electoral systems, voting behavior, political parties, and non-party politics. BA in History & Political Science (TCD, 2001) Postgraduate Diploma in Statistics (TCD, 2004) PhD in Political Science (TCD, 2008) Postgraduate Certificate in Teaching and Learning in Higher Education (UCC, 2009) Liam Weeks’ research has been published in journals such as Australian Journal of Political Science , Government and Opposition , Party Politics , Parliamentary Affairs , and Irish Political Studies . His work explores themes like the role of independent politicians, electoral reform, party system evolution, and voter behavior under PR-STV. Articles often focus on Ireland’s unique political landscape and comparative studies with Australia, New Zealand, and other Westminster democracies. He has received prestigious awards including the Best Conference Paper (PSAI, 2017), Erasmus+ Staff Mobility Grants (2017), and Royal Irish Academy Mobility Grant (2010). His grants also include funding from the Irish Research Council, Waseda Institute of Advanced Study, and Enterprise Ireland. Liam Weeks actively supervises PhD students in comparative politics (elections, electoral systems) and Irish politics. He has directed the BA(Politics) program at UCC and served as Associate Editor of ECPR Press (2018–present) and Editor of Irish Political Studies (2021–present).

Eugene O’Brienمشاهده پروفایل

استاد

• Civil Engineering
• Structural Engineering
• Bridge Safety
• +۳ مورد دیگر

Professor Eugene O’Brien is a leading academic in UCD School of Civil Engineering, part of University College Dublin. His research focuses on enhancing bridge safety through innovative traffic loading analysis methods. He co-founded ROD-IS, a consultancy applying academic insights to real-world infrastructure projects, including assessments of the Malahide Railway Viaduct and Firth of Forth Bridge in Scotland. His work integrates Weigh-in-Motion (WIM) sensors and camera-based monitoring to address critical gaps in assessing long-span bridges under congested traffic conditions. Key projects include developing probabilistic models for bridge lifetime safety, optimizing traffic management to extend bridge lifespans, and reducing environmental impacts through carbon footprint minimization. He has secured significant EU funding, including an €890,000 grant for bridge longevity research. His research group collaborates internationally on projects like the Chacao Channel Bridge in Chile, emphasizing sustainable infrastructure solutions.

• Prostate Cancer
• Cancer Biology
• Translational Research
• +۷ مورد دیگر

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)

Kevin Murphyمشاهده پروفایل

استادیار

• Organizational Psychology
• Human Resource Management
• Cognitive Psychology
• +۱۲ مورد دیگر

Kevin Murphy is an Assistant Professor at the University of Limerick, affiliated with the Faculty of Science and Engineering and the Department of Electronic and Computer Engineering. His research spans interdisciplinary domains, combining organizational psychology, cognitive science, and statistical methodology. His work focuses on validity generalization, performance management systems, and the intersection of psychometric testing with workplace dynamics. Recent publications explore diffusion model generalization, substance use interventions in nursing, and age stereotypes in personnel decisions. Selected trends from his research include: Organizational psychology: Performance appraisal, meta-analysis, and statistical power. Cognitive and psychometric studies: Complex problem-solving, emotional intelligence, and validity evidence. Healthcare applications: Maggot debridement therapy, Parkinson’s medication timing, and pandemic recovery strategies.