جست‌وجوی استاد و پژوهشگر

• Quality-of-Experience
• Virtual Reality
• Multimedia Systems
• +۲ مورد دیگر

Dr. Niall Murray is a Senior Lecturer in the Department of Computer and Software Engineering within the Faculty of Engineering and Informatics. His research focuses on enhancing user experiences through immersive technologies and quality-of-experience measurement frameworks. His scholarly work spans virtual/augmented reality systems, multimedia quality assessment, and human-computer interaction paradigms. Recent investigations explore physiological signal analysis for experience evaluation and accessible computing solutions. Publications demonstrate consistent focus on optimizing extended reality applications across domains including education, industrial design, and assistive technology. Research outputs frequently incorporate multimodal interfaces and machine learning approaches.

• Image Processing
• Pattern Recognition
• Deep Learning
• +۳ مورد دیگر

Terence O'Neill is a Lecturer in the Department of Accounting and Business Computing at the Faculty of Business and Hospitality. His research focuses on advanced topics in image processing, pattern recognition, and deep learning applications. Notably, he contributed to a study on lightweight deep learning models for detecting image forgery, emphasizing post-processed attacks. His work integrates embedded systems and VGGNet architectures, reflecting interdisciplinary expertise. Collaborations span international teams, as seen in his 2021 publication co-authored with researchers from diverse institutions. While no specific awards are listed, his research has garnered significant attention, evidenced by 37 citations. Details about academic advising or grants are not provided in the available text.

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.

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.

• Medical Imaging
• Deep Learning
• Transesophageal Echocardiography
• +۵ مورد دیگر

Siobhan Moane is a researcher actively contributing to Medical Imaging , Pharmacology , and Sports Science , with work aligned to the United Nations Sustainable Development Goals (SDGs). Her recent research focuses on Deep Learning applications in Transesophageal Echocardiography (TEE) and Computed Tomography (CT) for cardiac and urological diagnostics, as well as Augmented Reality integration in ultrasound-guided procedures. Moane also explores pharmacological properties of natural compounds for antimalarial and antitrypanosomal therapies through in vitro and in silico studies. Key trends in her publications include AI-driven biomedical imaging (2025: 4 articles), machine learning for segmentation tasks , and clinical applications of imaging technologies . In Sports Science (2024), she conducted a systematic review on load monitoring tools in Gaelic sports. Collaborative efforts span institutions like the University of Cape Coast and University of KwaZulu-Natal , reflecting her interdisciplinary and global approach.

• Robotics
• Sensor Fusion
• Machine Learning
• +۲ مورد دیگر

Dr. Aubrey James Roche is Lecturer in Robotics and Automation at ATU Sligo's School of Engineering, with visiting researcher status at Loughborough University London. He holds a PhD in Multimodal Machine Learning and MSc in Digital Technologies. His research develops perception systems for autonomous vehicles using LiDAR, computer vision, and sensor fusion. Applications include intelligent mobility solutions, human activity recognition, and robotic navigation. Recent work focuses on dementia screening tools deployable on edge devices. Roche maintains professional affiliations with IEEE and Engineers Ireland. Before academia, he worked as a forensic engineer and project engineer in transportation and pharmaceutical sectors.

• Biomedical Image Processing
• Machine Learning
• Computer Vision
• +۱ مورد دیگر

Saritha Unnikrishnan is Lecturer in Computing at Atlantic Technological University (ATU) Sligo, Ireland, affiliated with the Department of Computer & Electronic Engineering. She serves as Principal Investigator at Health and Biomedical Research Centre (HEAL) and Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE). Her research develops AI and machine learning solutions for biomedical challenges including tumor characterization from MRI, microplastic analysis, and educational chatbot systems. Key methodologies include deep learning architectures, graph neural networks, and hyperspectral image processing applied to medical diagnostics. Recent work includes explainable AI models for glioma grading, nanoparticle characterization in industrial emulsions, and comparative studies of chatbot platforms for student FAQs. Publications appear in high-impact journals including International Journal of Pharmaceutics and Journal of Magnetic Resonance Imaging.

Marion McAfeeمشاهده پروفایل

مدرس ارشد

• Control Systems
• Additive Manufacturing
• Machine Learning
• +۲ مورد دیگر

Marion McAfee is a Senior Lecturer in Systems and Control Engineering at Atlantic Technological University. She co-directs the MISHE Centre and leads projects in sustainable manufacturing, AI applications, and sensor technologies. Her research integrates machine learning with real-time process control. Key initiatives include PROCEED 3D for personalized drug delivery devices and iGREENPHARM for sustainable pharmaceutical manufacturing.

• Robotics
• Intelligent Systems
• Unmanned Aerial Vehicles (UAVs)
• +۷ مورد دیگر

Petar Trslić is an Assistant Professor at the University of Limerick's School of Engineering, affiliated with the Centre for Robotics and Intelligent Systems. His research focuses on advanced robotics, autonomous systems, and sensor fusion technologies, with applications in maritime operations, wildlife monitoring, and infrastructure inspection. Key technical areas include Unmanned Aerial Vehicles (UAVs), Remotely Operated Vehicles (ROVs), path planning algorithms, and LiDAR-based systems. His work contributes to UN Sustainable Development Goals related to innovation and infrastructure, climate action, and sustainable energy. Trslić has collaborated internationally on projects involving cooperative robotic systems, multi-sensor fusion for state estimation, and autonomous vehicle coordination in challenging environments. His recent publications highlight innovations in UAV wildlife surveillance, maritime robotics for offshore wind farms, and automated infrastructure inspection using 3D reconstruction. He has secured research funding for initiatives in autonomous underwater robotics and has developed novel algorithms for robotic docking and navigation under dynamic conditions. Trslić's lab emphasizes practical solutions for industrial automation challenges and environmental monitoring through interdisciplinary approaches.

Colin Fitzpatrickمشاهده پروفایل

استاد

• Sustainable Engineering
• Circular Economy
• Electronics Recycling
• +۳ مورد دیگر

Colin Fitzpatrick is a Professor and Head of the Department of Electronic and Computer Engineering at the University of Limerick, Ireland. His research focuses on sustainable lifecycle engineering, circular economy frameworks for electrical/electronic equipment, and automation for recycling. He leads projects on WEEE management, electricity demand management, and conflict minerals. He is a member of the Centre for Battery and Energy Materials Research and the Centre for Sustainable Digital (Re)Manufacturing, contributing to UN Sustainable Development Goals related to responsible consumption and climate action. His teaching emphasizes sustainable development, energy management, and professional engineering ethics through innovative pedagogies like Problem-Based Learning. Recent research highlights include studies on e-waste recycling, EV battery lifecycle analysis, and behavioral interventions for circular economy adoption. Over 271 research outputs span peer-reviewed articles, conferences, and reviews. Collaborations include global experts in industrial ecology and remanufacturing. Key contributions include analyzing WEEE flows in Ireland, evaluating second-life battery applications, and promoting repair culture through community workshops. His work bridges technical innovation with policy advocacy for systemic sustainability transitions.

Adam Tothمشاهده پروفایل

دانشیار

• Biomechanics
• Neuroscience
• Sensory Motor Control
• +۷ مورد دیگر

Adam Toth is an Associate Professor in biomechanics and neuroscience at the University of Limerick, affiliated with the Department of Physical Education & Sport Sciences. He serves as programme manager of the Esports Science Research Lab within Lero – the Irish Software Research Centre, and is a member of the Sports and Human Performance Research Centre and Health Research Institute. His work intersects human physiology, cognitive neuroscience, and gaming analytics. Adam earned his PhD in neurophysiology and biomechanics from the University of Guelph, Canada. His research focuses on sensory motor control in esports athletes, cognitive benefits of action video gaming, balance mechanisms in aging populations, and neurostimulation techniques like galvanic vestibular stimulation and tDCS to enhance motor learning. His publications highlight expertise in esports biomechanics, AI-driven performance prediction, and cognitive fatigue studies. Collaborations span neuroscience, sports science, and software engineering. He lectures on modules including SS4312 and BR4071, and has presented internationally at TEDx events.

• Robotics
• Intelligent Systems
• Underwater Robotics
• +۳ مورد دیگر

Anthony Weir is a researcher at the Department of Electronics & Computer Engineering, University of Limerick, affiliated with the Centre for Robotics and Intelligent Systems. His work focuses on underwater robotics, control systems, and marine engineering applications. Role: Researcher Institution: University of Limerick Department: Electronics & Computer Engineering Research Interests: Specializing in Remotely Operated Vehicles (ROVs) and autonomous underwater systems , his research addresses challenges in offshore wind farm inspection, ship hull repair, and robotic manipulation. Key technologies include visual servoing , inverse kinematics , and friction stir welding . Recent Publication Trends (2023-2024): Recent work demonstrates advancements in autonomous visual inspection , path planning algorithms , and underwater repair systems . Collaborative projects with engineers like Santos, Omerdic, and Toal highlight applications in offshore wind turbines and damaged ship hulls. Collaborations: Active collaborations span marine robotics, control systems, and renewable energy engineering, with frequent contributions to IEEE-conference proceedings and journals like IEEE Access and Journal of Intelligent and Robotic Systems .

• Genetic Programming
• Evolutionary Algorithms
• Combinatorial Optimisation
• +۶ مورد دیگر

Dr. Edgar Galván is an Associate Professor in the Department of Computer Science at Maynooth University's Faculty of Science & Engineering. He is a leading expert in Genetic Programming (GP) and Evolutionary Algorithms, with a focus on semantic-based approaches, neutrality, and multi-objective optimization. His work spans applications in combinatorial optimization, gaming (e.g., Carcassonne), and software engineering, including neuroevolution for deep learning architectures. Current Affiliation: Maynooth University Previous Roles: Senior Researcher at University College Dublin, Trinity College Dublin, and INRIA Paris-Saclay Research interests include: Semantic-based Genetic Programming Multi-objective Evolutionary Algorithms Monte Carlo Tree Search Circular Economy Applications Privacy-Preserving Optimization Neuroevolution in Autonomous Systems His recent publications analyze semantic diversity in GP, neural architecture search, and privacy-aware swarm optimization. Key awards include being ranked among the top 1% of GP researchers by University College London (2020), a Marie Curie Fellowship (2014), and a Best Paper Award at ECTA 2015. Current Projects: REBUILD (Circular Economy Buildings, 2024-2027), VISION (Circular Business Models, 2023-2026) Previous Grants: Stochastic Bio-inspired Algorithms (2014-2017, €267k), circAI (2022-2023, €142k) Dr. Galván serves on program committees for IEEE, ACM, and Springer conferences, and as Scientific Adviser for institutions in Ireland, France, and Mexico. His work bridges theoretical GP analysis with real-world applications in energy optimization and AI.

Gerard Laceyمشاهده پروفایل

استاد

• Robotics
• Real-time computer vision
• Human-machine systems
• +۳ مورد دیگر

Professor Gerard (Gerry) Lacey is Professor of Electronic Engineering at Maynooth University within the Faculty of Science and Engineering. He also serves as Head of the Department of Electronic Engineering and is affiliated with the Hamilton Institute and ALL Institute at Maynooth. Education BE in Computer Engineering – Trinity College Dublin PhD in Robotics – Trinity College Dublin MBA – University College Dublin Research Focus Professor Lacey’s research integrates robotics, real-time computer vision and human-machine systems with healthcare applications. His work spans assistive robotics for the elderly and visually impaired, augmented-reality surgical simulation, and technology-enabled infection prevention. Key themes include psychomotor learning in digital training tools, AI-driven hand-hygiene monitoring, and the design of user-centred healthcare technologies. Publication Trends Recent publications (2020-2021) concentrate on leveraging augmented reality and artificial intelligence to improve hand-hygiene compliance among healthcare workers, reflecting a translational trajectory from vision-based algorithms to large-scale hospital deployment. Earlier work (1995-2014) laid foundational contributions in mobility aids for the blind, endoscopic image enhancement, and robotic guidance systems. Awards & Recognition RESNA PVA Design Award for Robotics EU IST Award Irish Software Association Innovation Award Enterprise Ireland Technology Commercialisation Award Trinity College Innovation Award Entrepreneurship & Impact Professor Lacey has founded two university spin-outs: Haptica (2000), which created mobile healthcare robots and AR surgical simulators (acquired by CAE Healthcare in 2011), and SureWash (2010), whose hand-hygiene training systems are deployed internationally in hospitals. These ventures bridge academic research and clinical practice, securing real-world impact for his innovations. Laboratories & Collaborations He leads research activities within the Electronic Engineering Department and participates in interdisciplinary initiatives at the Hamilton Institute (systems modelling) and ALL Institute (assisted living and learning). His teams bring together engineers, healthcare professionals and industry partners to advance assistive and medical technologies.

Charles Markhamمشاهده پروفایل

دانشیار

• Computer Science
• Biomedical Engineering
• Machine Vision
• +۵ مورد دیگر

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.