جست‌وجوی استاد و پژوهشگر

• 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.

Yuanyuan Puمشاهده پروفایل

عضو هیئت علمی

• Food Science
• Food Engineering
• Spectral Sensing Technology
• +۴ مورد دیگر

Dr. Yuanyuan Pu is an Assistant Lecturer in the Department of Land Sciences at South-East Technological University. She holds a PhD in Biosystems and Food Engineering from University College Dublin (2017) and completed postdoctoral research at Teagasc Moorepark Food Research Center (2018–2019). She was awarded a Marie Skłodowska-Curie Fellowship (2020–2023), during which she conducted research at the University of Cordoba and collaborated with an Irish dairy company. She currently manages the Marie-Curie Alumni Association-Ireland Chapter. Her research focuses on spectral/imaging sensing technologies combined with machine learning for food quality analysis, process analytical technology (PAT) in food processing, and green technologies like microwave vacuum drying. She also specializes in predictive modeling and data visualization. Her work aligns with UN SDGs related to food security and sustainable consumption. Research Trends: Recent publications emphasize deep learning applications in seed phenotyping, multispectral techniques for citrus quality, and sensor development for dairy processing. Her work bridges academia and industry, addressing challenges in food safety and efficiency. Awards: Marie Skłodowska-Curie Fellowship (2020–2023) Teaching & Projects: Teaches courses on food processing technologies and project management. Leads projects integrating PAT tools and sustainable processing methods. Collaborates with industry partners for technology transfer. Labs/Teams: Involved in interdisciplinary teams at Teagasc, University of Cordoba, and Irish dairy industries.

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).

Ghulam Murtazaمشاهده پروفایل

پژوهشگر

• Quantum Technologies
• Quantum Cryptography
• Photonics
• +۳ مورد دیگر

Dr. Ghulam Murtaza is a Postdoctoral Researcher in the Department of Computing and Mathematics at South East Technological University (SETU). His research focuses on quantum technologies, photonics, and telecommunications engineering. He holds a PhD in Quantum Technologies from the University of Naples Federico II (2023), an MSc in Electronics and Communication Engineering from Beijing University of Posts and Telecommunications (2019), and a BSc in Electrical Telecommunication Engineering from Government College University Faisalabad (2015). His key research areas include quantum cryptography, molecular single-photon sources for quantum key distribution, and electromagnetic compatibility in communication systems. Recent work explores room-temperature molecular photon emitters and the impact of coaxial connectors on signal integrity. Publications highlight advancements in quantum communication systems, optical frequency combs, and energy-efficient routing algorithms. His multi-disciplinary approach bridges quantum optics, telecommunications, and machine learning applications in medical imaging.

Muhammad Iftikhar Umraniمشاهده پروفایل

مدرس

• AI
• Cybersecurity
• Deep Learning
• +۳ مورد دیگر

Dr. Muhammad Iftikhar Umrani is a Lecturer at SZABIST University and a PhD candidate at Walton Institute, SETU Waterford, Ireland. His research focuses on AI-driven cybersecurity solutions, particularly in UAV security and cyber-physical systems. He holds a Master of Science in Telecommunication from National University of Sciences and Technology (NUST) Pakistan (2017) and a Bachelor of Engineering in Telecommunication from Mehran University of Engineering & Technology (2012). His work aligns with UN Sustainable Development Goals, emphasizing education and innovation. Research interests include deep learning algorithms for UAV security, intrusion detection systems, and decision-making frameworks in cyber-physical systems. Recent publications explore trust mechanisms in AI-driven CPS and cybersecurity vulnerabilities in UAVs. No scientific awards are explicitly listed, but academic achievements include his advanced degrees. He is involved in collaborative research projects and contributes to cybersecurity testbed development. His PhD research at Walton Institute further enhances his expertise in autonomous systems and cybersecurity.

Frances Clearyمشاهده پروفایل

استاد پژوهشی

• Artificial Intelligence
• Healthcare Innovation
• Smart Transport Systems
• +۷ مورد دیگر

Dr. Frances Cleary is the Head of Research Division (MEPS) at the Walton Institute, SETU, Ireland. She leads the Mobile Ecosystem and Pervasive Sensing (MEPS) division focusing on healthcare e-textiles, AI, 5G/6G, smart transport, and VR/AR. She has over 20 years of experience in roles spanning test engineering, business development, and technical leadership. Education: PhD in Royal College of Surgeons in Ireland (RCSI) Bachelor of Technology in Electronic Engineering from Waterford Institute of Technology Research Interests: Frances' work spans healthcare innovation, cybersecurity, smart transport systems, and emerging technologies like e-textiles and neuromorphic computing. Her division combines AI, NLP, and pervasive sensing to address challenges in healthcare and urban mobility. Recent Articles: Her 2024 publications include reviews on XR interventions for autism and epileptic seizure detection devices. In 2023, she explored AI-driven e-textiles and soft exosuits. Earlier works focus on 5G networks, cybersecurity frameworks, and smart transport systems. Grants & Funding: She has secured EU and national-level funding for cluster projects and digital innovation initiatives. Her team collaborates with industry partners to drive knowledge transfer. Labs & Activities: Frances organizes events like the Digital Education Conference 2024 and participates in conferences like ICIC24. She mentors researchers in her division and oversees lab management for experimental facilities and prototyping.

Orla O'Donovanمشاهده پروفایل

مدرس

• Pharmaceutical delivery systems
• Cancer biomarkers
• Inflammatory markers
• +۳ مورد دیگر

Dr. Orla O'Donovan is a Lecturer in Biochemistry at South East Technological University's Department of Computing and Mathematics. She specializes in pharmaceutical delivery systems, cancer biomarkers, and seaweed metal sequestration mechanisms. With over €5.5 million in secured research funding, her work bridges academic, clinical, and industrial collaborations. Her research spans proteomic/genomic studies of metal sequestration, inflammatory markers in cancer, and novel drug delivery platforms. Recent publications focus on ocular therapeutics, breast cancer biomarkers, and patient engagement frameworks.

Pamela O Brienمشاهده پروفایل

مدرس

• Information Technology
• Computer Science
• Data Management
• +۳ مورد دیگر

Pamela O Brien is a Lecturer in the Department of Information Technology at the Faculty of Applied Sciences and Technology. Her work focuses on areas such as Information Technology, Cybersecurity, and Software Engineering. She holds an ORCID identifier: 0000-0002-6399-3906 . Research interests include foundational aspects of IT infrastructure, data management systems, and network security protocols. Specific projects or publications are not detailed in the provided text. No scientific awards, grants, or advising records are explicitly mentioned. Her professional activities are centered on teaching and academic contributions within the Department of Information Technology.

• 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.

Paul Greaneyمشاهده پروفایل

مدرس

• Machine Learning
• Artificial Intelligence
• IoT Security
• +۵ مورد دیگر

Paul Greaney is a Lecturer in Computing at Atlantic Technological University, affiliated with the Department of Computing. He is a Principal Investigator in the Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE) research unit. His work aligns with UN Sustainable Development Goals, particularly in advancing technologies for environmental and health applications. Greaney holds an h-index of 38 with over 2025 citations, reflecting his research impact. Research interests span machine learning, artificial intelligence, IoT security, and materials science. His recent projects include pedestrian trajectory prediction using neural networks, resume parsing with BERT-based models, and IoT trustless environments. He has also contributed to studies on dielectric membranes and quantum dot cytotoxicity. Greaney’s publications emphasize interdisciplinary approaches, blending computational methods with real-world applications. His work on spatial-temporal attention models and generative frameworks demonstrates expertise in AI-driven solutions for complex systems. No advising or grant details are provided in the text. He is part of the MISHE team, focusing on mathematical modeling and intelligent systems for societal challenges.

• Blockchain Technology
• Cloud Computing
• Digital Transformation
• +۴ مورد دیگر

Trevor Clohessy is a Lecturer in Engineering and Principal Investigator at the Business Research Innovation Network Group (BRING). His research focuses on Blockchain Technology, Digital Transformation, and Cloud Computing, with contributions to Sustainable Development Goals (SDGs) related to innovation and infrastructure. He holds affiliations in the Department of Mechanical & Industrial Engineering and has authored over 24 peer-reviewed publications. Key research areas include blockchain adoption in supply chains, cloud computing's impact on IT service providers, and threshold concepts in information systems education. He has collaborated internationally, particularly in studies analyzing blockchain's role in fisheries, healthcare, and smart cities. His recent work (2023–2024) explores blockchain's integration into supply chains, smart city frameworks, and behavioral impacts of technology on work and health. Notable publications include a blockchain research agenda for smart cities and a dualistic passion model for mobile gambling harm minimization. Scientific Contributions: Over 695 citations and an h-index of 8. Professional Activities: Organized the 2023 Sustainable Innovation with Blockchain conference. Labs/Teams: Leads research through the BRING group, focusing on technology adoption and digital transformation.

Shane Gilroyمشاهده پروفایل

مدرس

• Autonomous Vehicles
• Image Sensors
• Automotive Engineering
• +۳ مورد دیگر

Shane Gilroy is a Lecturer in Electronic Engineering at the Department of Mechatronic Engineering, ATU Sligo. His research focuses on automotive systems, particularly autonomous vehicles, image sensor technology, and object detection challenges in occluded environments. He actively contributes to improving road safety through advancements in pedestrian detection, sensor validation, and cybersecurity in connected vehicles. His work aligns with UN Sustainable Development Goals, emphasizing innovation in urban mobility and sustainable infrastructure. Gilroy’s expertise spans computer vision, robotics, and automotive engineering, with notable contributions to occlusion classification methods and lifecycle validation of automotive components. He is currently accepting PhD students to further explore these interdisciplinary areas. Key research themes include: Autonomous vehicle perception systems Occlusion challenges in road safety Image sensor performance optimization Cybersecurity for connected vehicles Lean manufacturing methodologies His publications demonstrate a strong emphasis on practical applications, from improving pedestrian detection algorithms to evaluating sensor reliability under real-world conditions. Recent work explores urban mobility solutions and the integration of machine learning models for occlusion analysis.

• 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.

Kolawole J. Adebayoمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Data Science
• +۳ مورد دیگر

Kolawole J. Adebayo is an Assistant Professor/Lecturer in the Department of Computer Science at Maynooth University, affiliated with the Faculty of Science & Engineering. He holds memberships in the Maynooth International Engineering College, Hamilton Institute, ALL Institute, and Human Health Institute. His academic role emphasizes teaching and research within computer science disciplines. While no formal educational background is listed, his current affiliations suggest expertise in interdisciplinary areas combining computer science with engineering and health sciences. Research interests likely align with contemporary computer science fields such as AI, machine learning, and data-driven systems. No specific awards or grants are documented here, though his involvement with research institutes indicates active participation in scholarly activities. He can be contacted at Kolawole.Adebayo@mu.ie .

Diarmuid O'Maoileidighمشاهده پروفایل

استادیار

• Plant Developmental Biology
• Transcription Factor Networks
• Floral Organ Development
• +۳ مورد دیگر

Dr. Diarmuid O'Maoileidigh is an Assistant Professor in the Department of Biology at Maynooth University, part of the Faculty of Science & Engineering. He holds a PhD in Plant Developmental Genetics and a B.A. in Human Genetics from Trinity College Dublin (TCD). His research focuses on plant developmental genetics, particularly the molecular mechanisms governing flower and fruit development, with an emphasis on cis-regulatory elements and transcription factors. He leads the Comparative Developmental Genetics (CDG) lab, exploring how floral organs become photosynthetically active and investigating variation in photosynthetic activity across species using genomic and physiological approaches. Education: PhD in Plant Developmental Genetics, Smurfit Institute of Genetics, Trinity College Dublin (2007) B.A. Moderatorship in Human Genetics, Trinity College Dublin (2003) Research Interests: His work dissects transcription factor networks controlling floral organ identity and the integration of leaf developmental programs. Recent projects include studying photosynthetic activity in floral organs and the role of microRNAs like MIR172 in floral transitions. He has secured grants such as the BBSRC David Phillips Fellowship (2020) and led projects like the 'Rewiring of photosynthesis in floral organs' (2023-2025). Professional Highlights: Recipient of the Humboldt Postdoctoral Fellowship (2016) Associate Editor for bio-protocol (2023–present) Committee Member of the Sustainable Ecosystems Research Cluster (2023–present) Outreach: Engages in public science initiatives like Pint of Science Ireland and serves as a judge for secondary school science competitions (SciFest 2023).