جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence in Health
• Healthcare Management & Leadership
• Nursing & Midwifery
• +۷ مورد دیگر

Dr Edward Naessens is a research-active academic and Programme Coordinator at the Faculty of Nursing and Midwifery, Royal College of Surgeons in Ireland (RCSI). He holds a PhD from Trinity College Dublin and leads the development of FLO mCPD, an AI-driven, self-directed learning platform aimed at enhancing professional competence and regulatory compliance among healthcare workers. His work is supported by Enterprise Ireland and aligns with RCSI’s mission of evidence-based innovation and ethical use of artificial intelligence in healthcare. Education: PhD, Trinity College Dublin (2018) MPhil, Trinity College Dublin (2010) BA (Hons), Trinity College Dublin (2009) Dr Naessens' research focuses on Artificial Intelligence in Health , Healthcare Management & Leadership , and Population Health , with a strong emphasis on practical learning systems and patient-centered innovation. His interdisciplinary background includes software development (C/C++, COBOL, PL/SQL), which informs his agile, real-world approach to digital health solutions. His recent publications (2015–2025) reflect a consistent focus on patient perspectives in oncology , medical error transparency , and workforce development in home support care . These works demonstrate a trajectory toward integrating patient voices, improving healthcare quality, and building scalable digital learning tools for health professionals. Scientific Awards and Recognition: Selected as sole candidate from his university to attend the prestigious McKinsey Expedition leadership programme in Austria (2013) Dr Naessens has secured competitive grant funding from Enterprise Ireland for the FLO mCPD EdTech platform (Dec 2024 – Mar 2025), showcasing his ability to translate research into market-viable innovations. He has also contributed to international election observation (OSCE) and served as Chair of the Patient Advisory Group for the European Society for Radiotherapy & Oncology (ESTRO), advocating at the European Parliament. He has no listed students but plays a mentorship and leadership role through programme coordination and public engagement. He is actively involved in interdisciplinary teams focused on digital health innovation and has led cultural and academic projects that bridge technology, healthcare, and policy. His work exemplifies a commitment to ethical innovation, systems thinking, and improving patient outcomes through better professional support.

Vanessa Ayala-Riveraمشاهده پروفایل

مدرس

• Cybersecurity
• Secure Software Development
• Data Protection
• +۳ مورد دیگر

Dr. Vanessa Ayala-Rivera serves as a Lecturer at the School of Informatics and Cybersecurity within the Faculty of Computing, Digital and Data at TU Dublin Blanchardstown campus, holding a PhD in Computer Science specialized in Data Anonymization from University College Dublin (UCD). Her research expertise spans Cybersecurity, Secure Software Development, Data Protection and Privacy Engineering, with emphasis on Regulatory Compliance in Software Systems. She teaches critical modules including Application Security, Secure Web Programming, and Data Governance across MSc and BSc programs. Bringing extensive industry experience as a software engineer and technical analyst, she holds certifications as Scrum Master, Java Programmer, and Java Web Developer. Academic service includes Programme Director for the MSc in Cybersecurity, external examiner duties, and peer review for journals and conferences.

Stefan Weberمشاهده پروفایل

استاد

• Distributed Systems
• Internet of Things
• Communication Protocols
• +۷ مورد دیگر

Stefan Weber is a Professor at the Trinity College Dublin , affiliated with the School of Computer Science & Statistics . His research spans Information-Centric Networking (ICN) , Security & Botnets , and Mobile Ad hoc Networks (MANETs) , with a focus on optimizing communication in dynamic environments. Exploiting ICN for data-centric infrastructure Security challenges in distributed systems Protocol design for mobility and disconnection His recent publications address topics in networking , security , and IoT , though some interdisciplinary works touch on epidemiology and genetics . While no formal awards are listed, his collaborations include the EU FP7 N4C Project . Stefan has supervised students including Andriana Ioannou (caching in ICN), Amber Higgins (container-based honeypots), and Joseph O'Hara (network telescopes), among others.

Oliver Kinnaneمشاهده پروفایل

پژوهشگر

• Sustainable Building Materials
• Energy Efficient Construction
• Concrete Technology
• +۵ مورد دیگر

Dr. Oliver Kinnane is a Researcher at University College Dublin's School of Architecture, Planning & Environmental Policy within the College of Engineering and Architecture. His research focuses on developing high-performance building materials, particularly innovative concrete technologies for energy-efficient building skins. As a principal investigator on the European Horizon 2020 IMPRESS project, he collaborates with industry partners including Firebird and Techrete to create sustainable solutions for both new construction and building retrofit applications. Dr. Kinnane's research interests center on sustainable building materials, energy efficiency in construction, and reducing the carbon footprint of the built environment. His work addresses critical challenges in building physics, particularly the hygrothermal properties of traditional and innovative materials. He specializes in developing thin, ultra-high-strength concrete skins that improve thermal performance while reducing material usage. His research spans from fundamental material science to practical applications in social housing and commercial buildings, with particular emphasis on Ireland's building stock and climate conditions. Analysis of Dr. Kinnane's recent publications reveals a strong focus on the hygrothermal properties of traditional building materials, particularly Irish stone and brick construction. His work bridges historic building conservation with modern energy efficiency requirements, investigating how traditional materials perform under contemporary climate conditions. A significant portion of his research examines retrofit strategies for existing buildings, with emphasis on accurate material characterization for reliable performance prediction. His publications consistently address the environmental impact of construction, particularly embodied carbon analysis and life cycle assessment of building materials and systems. Dr. Kinnane has secured significant research funding including from the Sustainable Energy Authority of Ireland (SEAI) for the nZEB_101 project monitoring near zero energy buildings in social housing. As principal investigator on the Horizon 2020 IMPRESS project, he leads a 16-partner European collaboration developing innovative prefabricated building panels. His industry partnerships with companies like Firebird and Techrete demonstrate the applied nature of his research, translating academic findings into practical building solutions. Dr. Kinnane's laboratory work focuses on developing and testing novel concrete technologies incorporating phase change materials, cement replacements, and alternative reinforcement systems. His research group collaborates with architects, construction companies, and local authorities to implement sustainable building practices in Ireland. The IMPRESS project demonstration units represent a key aspect of his team's work, validating new prefabricated technologies under real-world conditions.

• Blockchain Technology
• Deep Learning
• Cybersecurity
• +۴ مورد دیگر

Yuhang Ye is an Assistant Lecturer in the Department of Computer and Software Engineering at the Technological University of the Shannon: Midlands Midwest. Their research focuses on blockchain technology, cybersecurity, video streaming optimization, and deep learning. Key areas include smart contract-based systems, adversarial machine learning, and network security. Research Interests: Blockchain applications (e.g., payment channels, decentralized agents), cybersecurity (e.g., backdoor attacks, anomaly detection), and video processing (super-resolution techniques). Recent work explores efficient neural architectures and defense mechanisms against adversarial AI. Publications (2021–2025) highlight contributions to blockchain scalability, video super-resolution algorithms, and AI security. Notable collaborations include studies on Ripple transaction networks and IoT security. No awards or grants explicitly listed. No student advisees identified in provided data. Research aligns with UN Sustainable Development Goals related to innovation and infrastructure (SDG 9).

• Internet of Things
• Wireless Sensor Networks
• Quality of Service
• +۳ مورد دیگر

Dr. Robert Stewart serves as a Lecturer in the Department of Computer and Software Engineering within the Faculty of Engineering and Informatics. With an h-index of 5 and 83 citations according to Scopus, his research spans from 2003 to 2017, focusing on networked systems with particular expertise in Internet of Things (IoT), Wireless Sensor Networks (WSN), and Quality of Service (QoS) for real-time applications. His academic contributions demonstrate sustained engagement in solving critical communication infrastructure challenges. Stewart's research interests converge on technical optimization of IoT and WSN frameworks, with significant emphasis on precision agriculture applications. He has pioneered dynamic management systems using K-means machine learning for agricultural IoT, developed propagation models for wireless signal behavior in farm environments, and engineered resource allocation techniques to mitigate interference in mobile sensor networks. His research fingerprint highlights dominant expertise in Quality of Service (100%), Wireless Sensor Network (90%), and Internet-Of-Things (49%), reflecting a cohesive trajectory toward enhancing network reliability in resource-constrained operational settings. These efforts directly support UN Sustainable Development Goals for sustainable agriculture and resilient infrastructure development. Analysis of his 2016-2017 publications reveals a strategic focus on machine learning integration and protocol optimization for agricultural IoT systems. Key trends include using K-means clustering for dynamic resource management, developing propagation models for precision agriculture signal transmission, and optimizing coordinator functionality in Personal Area Networks to enhance QoS. His work demonstrates progressive sophistication in addressing channel interference, traffic differentiation, and duty cycle adaptation within IEEE 802.15.4 networks, establishing a clear research trajectory bridging theoretical networking principles with practical agricultural technology implementations.

• Artificial Intelligence
• Machine Learning
• Data Science
• +۵ مورد دیگر

Dr. Gregory Doyle is a Senior Lecturer in the Department of Computing at South East Technological University (SETU), part of the Faculty of Science. He holds a PhD in Computer Science (Data Science) from SETU, an MSc in Computer Applications from Dublin City University, and a BSc in Applied Computing from Waterford Institute of Technology. His research focuses on AI, machine learning, data science, InsurTech, Fintech, and service systems, with a strong emphasis on industry collaboration. Education: PhD in Computer Science (Data Science), SETU, 2010 MSc in Computer Applications, Dublin City University, 1996 BSc in Applied Computing, Waterford Institute of Technology, 1993 Dr. Doyle leads the Advanced Machine Intelligence Research (AdMIRe) group and directs the InsurTech Network Centre (INC) at SETU. His work spans applied research in intelligent systems, including projects on adaptive exergames for elderly exercise motivation and optoelectronic systems for data analysis. He has secured funding from national and European agencies and actively supervises postgraduate students. His recent publications explore topics such as tensiography platforms, data diffraction methods, and simulation models for engineering applications. He is deeply involved in interdisciplinary efforts, contributing to the UN Sustainable Development Goals through education and innovation.

Christophe Meudecمشاهده پروفایل

مدرس ارشد

• Software Engineering
• Symbolic Execution
• Constraint Logic Programming
• +۴ مورد دیگر

Dr. Christophe Meudec is a Senior Lecturer in the Department of Computing at South East Technological University (SETU), Ireland. His research focuses on symbolic execution, constraint logic programming, and automatic test data generation to enhance software reliability and quality. He also explores agile development practices for web, cloud, and mobile applications, as well as innovative teaching technologies like blended collaborative cloud learning in computer science education. Education: Masters of Arts (MA) in Teaching and Learning, South East Technological University (2016) PhD in Automatic Test Cases Generation From Formal Specifications, Queen's University Belfast (1998) B.Sc. Honors in Computer Science, Queen's University Belfast (1992) Licence in Informatique, Université de Rennes 1 (1991) National Diploma in Mathematics, Physics, and Computing, Université du Maine (1990) Research Interests: Dr. Meudec's work bridges theoretical computer science and practical software engineering. His core areas include symbolic execution using CLP, static/dynamic analysis of software, automated test generation, and agile methodologies. His contributions aim to improve software quality, developer productivity, and student engagement through cloud-based collaborative learning environments. Awards: FIWARE Smart Society Challenge (2014) Advising & Grants: Dr. Meudec supervises PhD students in symbolic execution and test generation. He has secured grants for projects like “Blended Collaborative Cloud Learning” and participated in initiatives like the FIWARE Challenge. His work is supported by industry collaborations and academic partnerships. Labs/Teams: Involved in the compuCORE research group at SETU, focusing on applied computing solutions. Active in CLP-based testing tool development (e.g., ATGen, IBIS, CSET).

• Computer Networks
• Internet of Things
• Neural Networks
• +۲ مورد دیگر

Paul Jacob is a Lecturer in the Faculty of Engineering and Informatics, Department of Computer and Software Engineering. His research focuses on network protocols, IoT systems, and neural network applications. With 28 publications and an h-index of 9, his work demonstrates strong expertise in computer network optimization and intelligent systems. Research interests span IoT device management, anomaly detection in networks, and telematics for smart city infrastructure. Recent publications explore healthcare IoT systems and neural network-based monitoring solutions. Notable contributions include developing interpretable AI models for network security and vehicle telematics frameworks. Research collaborations focus on network efficiency and IoT applications across healthcare and urban development contexts.

• Internet of Things
• Smart Cities
• Edge Computing
• +۲ مورد دیگر

Roger Young is an Assistant Lecturer specializing in Internet of Things architectures, smart city systems, and distributed data processing. His research develops frameworks for efficient information distribution in urban vehicular networks and edge computing environments. Key research areas include IoT-enabled smart transportation systems, edge intelligence architectures, and adaptive data processing methods. Publications demonstrate applications in traffic optimization, fuel efficiency monitoring, and real-time urban analytics. Technical contributions include novel flow-based architectures for vehicular data distribution and governance models for self-adaptive IoT systems.

• Human Computer Interaction (HCI)
• Educational Technology
• Technology for Health
• +۳ مورد دیگر

Conor Linehan is a Senior Lecturer in Applied Psychology at University College Cork (UCC), Ireland, and a member of Lero, the Science Foundation Ireland Research Centre for Software. He co-directs UCC's BA in Psychology and Computing. His research focuses on Human-Computer Interaction (HCI), emphasizing educational technology, health technology, and games for societal challenges. With over 160 peer-reviewed publications and €2.8M in grant funding, his work bridges psychological principles with technology design, addressing issues like energy interventions, educational games, and mental health tools. Education: PhD, National University of Ireland, Maynooth (2008) MSc, National University of Ireland, Maynooth (2003) Research Interests: Human-Computer Interaction (HCI) Educational Technology (e.g., games for learning) Health Technology (e.g., mental health interventions) Game Design for Social Impact (e.g., behavior change, accessibility) Grants and Funding: €2.8M+ as PI/Co-PI across grants from Science Foundation Ireland, Health Research Board, and industry partnerships. Notable projects include Grassroot Wavelengths (€24k) and Responsible Software Engineering (SFI-funded). Labs and Collaborations: Lero Research Centre People and Technology Research Group at UCC

Ian Kennyمشاهده پروفایل

استاد

• Injury biomechanics
• Injury epidemiology
• Rugby Science
• +۴ مورد دیگر

Prof. Ian Kenny is a Professor in Biomechanics at the University of Limerick's Department of Physical Education & Sport Sciences, affiliated with the Health Research Institute and Lero – the Irish Software Research Centre. He co-directs the Sports and Human Performance Research Centre (SHPRC) and holds editorial roles in sports science journals. His research focuses on injury biomechanics, rugby science, musculoskeletal modeling, and sports equipment analysis, with over €2.4M in research funding secured. Key projects include the IRIS rugby injury surveillance program and studies on golf biomechanics with the R&A Rules Ltd. Kenny has authored 159+ publications and supervised numerous PhD students. He pioneered the MSc in Sports Performance program and developed a dedicated golf biomechanics lab at UL. His work spans international collaborations in sports injury prevention, wearable technology, and athletic performance optimization. Awards include the Force and Motion paper award (2015) and grants from Science Foundation Ireland and the Irish Research Council.

• Wireless Communications
• Radio Frequency (RF) Engineering
• Signal Processing
• +۴ مورد دیگر

Ronan Farrell is a Professor in the Department of Electronic Engineering at Maynooth University’s Faculty of Science & Engineering and currently serves as Vice President Academic and Registrar. He earned a BE and PhD from University College Dublin (1993, 1998) and previously worked at ICI/Zeneca Chemicals (1993–1995) and Parthus Technologies (1998–2001) as a mixed-signal ASIC designer. His academic career at Maynooth spans from Lecturer to Professor (2016), with leadership roles as Head of Department (2012–2019) and Director of the Callan Institute (2008–2015). He leads SFI research initiatives in radio frequency electronics and sensor networks. Education: BE (1993), PhD (1998) – University College Dublin Leadership: Head of Electronic Engineering (2012–2019), Director of Callan Institute (2008–2015) Research Focus: Wireless system design, RF/mixed-signal electronics, technology transfer, and innovation. His work bridges theoretical advancements (e.g., MIMO capacity optimization) with practical applications (e.g., 5G transmitters, digital predistortion techniques). Publication Trends: Recent articles emphasize 5G wireless systems, power amplifier linearization, OFDM signal processing, and behavioral modeling. Collaborations span institutions in Ireland, Europe, and Asia, with a focus on hardware implementation and system optimization. Students & Collaborations: Mentions co-authors in publications but no explicit student list provided. Collaborates with researchers in Ireland, Germany, and China.