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Naonori KodateView profile

Associate Professor

• Comparative Healthcare Policy
• Science and Technology Studies
• Welfare Technology
• +7 more

Naonori Kodate is Associate Professor at the School of Social Policy, Social Work and Social Justice, University College Dublin (UCD), where he directs the Public Policy Programme and co-founded the UCD Centre for Japanese Studies. He holds concurrent appointments as Adjunct Research Professor at Chiba University's Center for Frontier Medical Engineering and research affiliations with institutions in India and Japan. Research Interests: Comparative healthcare politics and policy Science & Technology Studies (STS) Welfare technology and social robotics Implementation science and systems thinking Global aging and dementia care Gender equality in science and technology His research explores the intersection of technology and care, particularly through the Circuits of Care documentary. Current work examines rare disease economics, rural care technology, and cross-cultural robot deployment. Recipient of JSPS and Toyota Foundation grants Multidisciplinary collaborations across 12 countries 2024 UCD Teaching Excellence Award Advises PhD students in rare disease impacts, assistive technology, and care sociology. Supervises research on healthcare robotics in Ireland-Japan-Finland contexts.

Martin CunneenView profile

Associate Professor

• AI Governance
• Philosophy of AI
• Language and AI
• +10 more

Dr. Martin Cunneen is an Associate Professor at the University of Limerick's Kemmy Business School, affiliated with the Data-Driven Computer Engineering Research Centre and Lero – the Irish Software Research Centre. He leads the AI-ERA (Ethics, Regulation, Accountability) Research Group and serves as Principal Investigator for the Horizon Europe-funded XTREME project (2024–2027), focusing on mixed reality technologies for art and culture. Active in AI governance, ethics, and interdisciplinary research Supervises 14 postgraduate students across 7 thematic areas Led €1.2 million in research funding in the past year His research spans AI/data governance , climate risk mitigation , extended reality , health technology , autonomous vehicles , and philosophy of AI , integrating technical and social science perspectives under the UN SDG framework. Scientific awards include: KBS Faculty Teaching Excellence Award (2022) Teaching interests include AI governance, explainable AI, data ethics, and sustainable AI practices. He actively participates in EU Horizon projects and collaborates with Science Foundation Ireland (SFI) and international research consortia. Labs: XTREME Mixed Reality Research Living Lab at Kemmy Business School (2024)

• Rehabilitation Engineering
• Human Motor Control
• Biomechanics
• +5 more

Giacomo Severini is a Lecturer in Biomedical Engineering at the School of Electrical and Electronic Engineering, University College Dublin. His research focuses on human motor control, motor learning, and rehabilitation robotics, aiming to develop innovative tools for rehabilitating individuals with movement impairments. He holds an MS (2008) and PhD (2012) in Electrical Engineering and Biomedical Engineering from Roma Tre University, Italy, and previously worked as a Research Associate at Spaulding Rehabilitation Hospital (2011–2015) and postdoctoral researcher at Harvard Medical School (2012–2015). Research Interests: Dr. Severini investigates neuromuscular control mechanisms using robotics, computational modeling, and clinical biomechanics. Key areas include: Rehabilitation engineering for stroke, cerebral palsy, and spinal injuries Muscle synergy analysis to decode motor recovery patterns Robot-assisted gait and upper-limb training Neural-inspired controllers for adaptive movement Biomechanical assessments of sit-to-stand, walking, and cycling Publication Trends: His 15 most recent articles (2023–2025) emphasize quantitative rehabilitation science , with recurring themes in muscle synergy applications for clinical diagnostics, robot-assisted therapy efficacy, and predictive simulations of movement. Studies frequently integrate multimodal data (EMG, EEG, kinematics) and target neurological populations (stroke, cerebral palsy). Awards: No scientific awards mentioned in available sources. Affiliations: As a Funded Investigator in the Personal Sensing research group, he collaborates on projects bridging engineering and clinical rehabilitation. No specific labs or student advising details are provided.

Michael JohnsonView profile

Research Fellow

• E-Waste Management
• Circular Economy
• Electronic and Computer Engineering
• +5 more

Michael Johnson serves as a Research Fellow in the Department of Electronic and Computer Engineering within the Faculty of Science and Engineering at the University of Limerick, Ireland. His office is located in room A2-010 with contact details including email michael.johnson@ul.ie and phone +353-(0)61-202460. His research spans electronic and computer engineering with dual emphases on sustainability systems and health data analysis. Primary interests include e-waste management and circular economy implementation, particularly examining public repair behaviors and strategic e-waste policies in developing nations. Significant work explores interdisciplinary problem-based learning methodologies bridging engineering with dietetics and aeronautics. Health informatics research analyzes large medical datasets focusing on opioid prescription patterns in pediatric populations, Alzheimer's disease treatment modifications, and cardiovascular medication dosing in elderly patients with heart failure. Analysis of his 15 most recent publications (2023-2024) reveals consistent interdisciplinary collaboration across engineering, environmental science, and healthcare domains. Approximately 40% of output addresses circular economy challenges, particularly e-waste management and product repair systems. Another 30% focuses on innovative educational approaches using problem-based learning across disciplines. Health informatics research constitutes 25% of recent work, primarily analyzing prescription patterns and treatment outcomes using Medicare and similar datasets. The remaining publications cover renewable energy systems and robotics applications. Scientific Awards No awards or fellowships were documented in the provided materials Advising and Grants No student advisees or doctoral supervision activities were mentioned No research grants, funding sources, or project leadership roles were specified Labs and Teams No dedicated laboratory facilities were described Collaborative work appears primarily through institutional partnerships within University of Limerick Interdisciplinary projects suggest connections with dietetics and medical research units

Ciaran EisingView profile

Associate Professor

• Computer Vision
• Artificial Intelligence
• Machine Learning
• +7 more

Ciaran Eising is an Associate Professor in the Department of Electronics & Computer Engineering at the University of Limerick. His research focuses on computer vision, machine learning, and their applications in intelligent transportation systems, particularly autonomous driving and driver assistance systems. He is a member of the Centre for Sustainable Digital (Re)Manufacturing, Data-Driven Computer Engineering Research Centre, and Lero – the SFI Research Centre for Software. Education: PhD from the National University of Ireland Galway (2010), BE (2003). External roles include Senior Expert at Valeo Vision Systems (2009–2020) and Adjunct Lecturer at NUI Galway (2016–present). His expertise spans automotive vision systems, embedded systems, and sensor fusion. Research Interests: Driver Assistance Systems, Autonomous Driving, Object Detection, Motion Segmentation, and Sensor Fusion. Over 94 publications since 2007, with recent work on BEV perception, multimodal fusion, and DDoS mitigation in healthcare IoT. Grants/Advising: Accepting PhD students; collaborations include industry partnerships and cross-disciplinary research. Labs/Teams: Active in Lero and other university research centers, contributing to UN SDGs via sustainable transportation innovations.

Saeed AlsamhiView profile

Research Fellow

• Quality of Service (QoS)
• Space Technologies
• Multi-Robot Collaboration
• +12 more

Saeed Alsamhi is a Senior Research Fellow at the Insight Centre for Data Analytics, University of Galway. His research spans cutting-edge domains including Quality of Service (QoS) , space technologies , multi-robot collaboration , and decentralized AI , with a focus on integrating UAVs, robotics, and digital twins into IoT and smart city frameworks. He has published over 211 papers, amassed 6,057+ citations, and maintains an H-index of 45. Key Research Areas: Edge Intelligence, Smart Environments, Industry 4.0/5.0, B5G, and multimodal healthcare solutions. Current Projects: ResNJRwater (Interreg), SmartPludi (Horizon Europe), and Irish Seafood Traceability (SFI). He serves as a Lead Guest Editor for journals like Drones and Energies , and as a technical committee member for IEEE conferences.

• Simulation and Control of Manufacturing Systems
• Digital Manufacturing Applications
• Industry 4.0 Technologies
• +3 more

Nikolaos Papakostas is an Associate Professor at the School of Mechanical and Materials Engineering, University College Dublin (UCD), and Director of the Master of Engineering with Business Programme. His expertise spans simulation, control, and scheduling of manufacturing systems, digital manufacturing, Industry 4.0 technologies, and IoT applications in supply chains. He holds a PhD in Engineering (2000) and a Diploma in Mechanical Engineering (1995) from the University of Patras, Greece. Prior to UCD, he worked at the Laboratory for Manufacturing Systems and Automation (LMS) and served as CIO at INTRAMET Steel. He has led numerous European projects and collaborated with industries in automotive, aerospace, and biotechnology. Research: Focuses on additive manufacturing, robotics, and digital twins. Recent work includes porosity prediction in AM, human-robot collaboration in bioprocessing, and blockchain for product development. He has over 80 peer-reviewed publications and 500+ citations. Key grants include the SHERLOCK project (EU-funded) on collaborative workplaces and I-Form, an Advanced Manufacturing Research Centre. Teaching: Coordinates modules like Applied Robotics Research, Robotic Applications, and Operations Management. His teaching emphasizes integrating business and engineering through project-based learning. Affiliations: Member of CIRP, IEEE, and the Technical Chamber of Greece. His work bridges academia and industry, addressing challenges in flexible manufacturing, sustainability, and smart technologies.

James GarlandView profile

Lecturer

• Machine Learning
• Embedded Systems
• FPGA/ASIC Design
• +4 more

Dr. James Garland is a Lecturer in the Department of Electronic Engineering and Communications at South-East Technological University (SETU), part of the engCORE academic unit. He holds a PhD in Computer Science from Trinity College Dublin (2022). His research focuses on micro-architectural implementations of deep learning algorithms in FPGA/ASIC/embedded systems, with applications in robotics and aerospace engineering. Key areas include defect detection via unmanned aircraft systems, image classification, and GAN-based enhancement for license plate recognition. Education: PhD in Computer Science (Trinity College Dublin, 2022). Research interests span machine learning optimization, embedded systems design, and aerospace robotics. His work emphasizes low-complexity hardware solutions for high-performance computing and energy efficiency. Recent articles explore topics like super-resolution GANs, zero-shot learning in pre-trained models, and spatial mapping for aircraft defect localization. He actively contributes to peer-reviewed journals, including Journal of Universal Computer Science and IEEE Access . Media coverage includes collaborations with the Irish Department of Aerospace and Mechanical Engineering. Teaching responsibilities include courses on artificial intelligence, control systems, and avionics fundamentals.

• Manufacturing Automation
• Cutting Tool Monitoring
• AI in Manufacturing
• +3 more

Tamas Szecsi is an Associate Professor at the School of Mechanical & Manufacturing Engineering at Dublin City University. With a PhD in Manufacturing Engineering from the University of Rousse, his career spans academic positions in Bulgaria and Hungary prior to joining DCU in 1999. Szecsi's research focuses on manufacturing automation, particularly cutting tool condition monitoring systems, precision machining accuracy, and industrial robotics applications. His work integrates AI techniques with traditional manufacturing processes to develop advanced monitoring and quality control systems. Recent projects include robotic systems for hospital environments, ergonomic design of industrial equipment, and precision engineering solutions for CNC machining. Collaborative research extends to healthcare robotics through the iWARD project, developing service modules for hospital automation. Publications demonstrate applied research addressing manufacturing challenges through sensor technology, error compensation algorithms, and human-centered design principles. Szecsi teaches courses in manufacturing processes, automation systems, and CAD/CAM technologies.

• Public Health
• Epidemiology
• Infectious Disease Control
• +3 more

Julie Arnott is a Lecturer in Health Protection and Infection Prevention and Control at University College Cork (UCC), Ireland, since November 2021. She holds a BSc in Public Health, a Postgraduate Certificate in Health Protection, and an MPH in Epidemiology from UCC, and is currently a full-time PhD candidate there. Education: BSc in Public Health and Health Promotion, University College Cork Postgraduate Certificate in Health Protection, University College Cork MSc in Public Health (Epidemiology), University College Cork PhD candidate at UCC Research Interests: Mental health, maternal and perinatal health, pandemic outcomes (focusing on COVID-19), and infectious disease surveillance. Current projects include the ULTRA maternal health study in Tanzania and the COVICAT study on pregnancy outcomes during the pandemic. Awards: Recipient of three HSE Excellence Awards (2021) Antibiotic Guardian Award, Public Health England (2019) Teaching & Curriculum Development: Programme Director for the Postgraduate Certificate in Health Protection at UCC. Leads modules on Health Protection, Infection Control, and Global Health. Implements UCC's Connected Curriculum and Universal Design for Learning principles, emphasizing real-world case studies and interdisciplinary collaboration. Collaborations: Works with INFANT (Irish Centre for Maternal and Child Health Research), National Perinatal Epidemiology Centre (NPEC), and international partners like the Kilimanjaro Christian Medical Centre (Tanzania) and the European congenital anomaly surveillance (EUROCAT) network.

Sarah WhatleyView profile

Professor

• Dance and digital technologies
• Dance analysis
• Somatic dance practice
• +4 more

Sarah Whatley is Professor and Director of the Centre for Dance Research at Coventry University. Her research focuses on the intersection of dance and technology, cultural heritage, and inclusive practices. She has secured significant funding from major organizations including the Arts and Humanities Research Council (AHRC), Leverhulme Trust, Wellcome Trust, and European Commission. Professor Whatley's research interests center on how digital technologies transform dance documentation, preservation, and practice. Her work particularly emphasizes dance and disability, somatic practices, and the preservation of intangible cultural heritage through digital means. She explores how technology can enhance accessibility and participation in dance while preserving the ephemeral nature of performance. Her recent publications reveal an evolving trajectory toward human-robot interaction, artificial intelligence applications in dance, and embodied approaches to technology design. These works demonstrate increasing interdisciplinary collaboration between dance, computer science, and disability studies, with a strong emphasis on co-design methodologies and inclusive practices. Scientific recognition includes: CREATE award (2019) Culture Moves award (2018) E2-CREATE award (2019) Identity and Governance of Bodily Extensions project funding (2016) International Travel Grant (2014) Professor Whatley has led an extensive portfolio of research projects spanning two decades, from the foundational Siobhan Davies digital archive project (2006) to current investigations into robotics and AI in dance (2023-2025). She serves as a Strategic Reviewer for the AHRC Peer Review College, has participated in REF panels (2014 and 2021), and acts as an evaluator for the European Commission. Her collaborative approach extends to partnerships with leading arts organizations, cultural institutions, and international research teams. As Director of the Centre for Dance Research, Professor Whatley fosters an innovative environment where dance artists, technologists, and scholars develop new methodologies for documenting and preserving dance as living cultural heritage, with particular attention to inclusive and accessible practices.

Jennifer HyndmanView profile

Lecturer

• Data Analytics
• STEM
• Technology Enhanced Learning
• +3 more

Jennifer Hyndman is a Lecturer in the Department of Computing at Atlantic Technological University, Ireland. Her work bridges academic teaching and cutting-edge research, with a focus on integrating technology into education and advancing computational methodologies. Education : PhD in Computing (2008), supervised by Dr. Tom Lunney and Prof. Paul Mc Kevitt at the University of Ulster, Magee, Derry. Research Interests Jennifer's research spans Data Analytics , STEM , Technology Enhanced Learning , and IoT . Her work explores applications of Artificial Intelligence and Machine Learning in educational contexts, robotics, and ambient intelligent systems. Publication Trends Her publications (2008–2024) demonstrate a trajectory from foundational work in ambient learning environments for children to advanced studies in swarm robotics and deep learning applications. Recent contributions focus on tertiary education pedagogy, cloud computing , and autonomous systems . Teaching Contributions She has taught diverse subjects including Mathematics for Computing , Python Scripting , Data Analytics , and Legal, Ethical, and Social Issues in Computing .

Adam De EytoView profile

Professor

• Sustainable Design Education
• Design for Sustainability
• Circular Economy
• +3 more

Adam De Eyto is a Professor and Head of the Department of Design at Limerick School of Art and Design, Technological University of the Shannon. His expertise spans sustainable design education, user-centered design, and circular economy practices. He holds a PhD from Bournemouth University (2010) and a Specialist Diploma in Teaching from the University of Limerick (2013). Education: BDes (Hons) Industrial Design (1995), PhD in Sustainable Design Education (2010) Research focuses on sustainable design pedagogy, circular economy education, and assistive wearable technologies. Notable projects include the Circular Design Project and the development of the XoSoft soft exoskeleton for mobility assistance. His work aligns with UN SDGs, emphasizing Education and Responsible Consumption. Key Projects: Circular Design Project (EU-funded), XoSoft Exoskeleton Publications explore user acceptance of assistive tech, sustainable design education frameworks, and interdisciplinary collaboration. Recent articles address exoskeleton design, circular economy pedagogy, and technology adoption by older adults. Awards include the 2023 Failte Ireland Ambassador Award and multiple IDI Awards for design excellence. He chairs the FORGE Design Factory and served on the Cumulus Association Executive Board (2019–2022). Labs/Teams: Leadership in the Health Futures Lab for transdisciplinary education and the XoSoft research group for assistive robotics.

• Social Robotics
• Artificial Intelligence
• Digitization in Education
• +3 more

John Pender is a Senior Lecturer in the Department of Social Sciences at Athlone Technological University (ATU) Sligo. His expertise focuses on foresight, social policy, and the integration of emerging technologies like social robotics and artificial intelligence into education and healthcare. He contributes to UN Sustainable Development Goals through research addressing societal challenges. Research interests include social robotics applications, digitization in teaching, ethical AI practices, and role-playing simulations for professional development. His work bridges interdisciplinary pedagogy, particularly in healthcare and social care contexts, as seen in the PRoSPEro Project. Recent publications explore AI in social work, educational technologies, and collaborative care models. He collaborates internationally, emphasizing practical applications of technology in social sciences. No formal academic awards are listed, though his contributions to peer-reviewed journals and conferences highlight active scholarly engagement.

• Industry 4.0
• Computer Vision
• Robotics Safety
• +3 more

Jacqueline Humphries is a Lecturer in the Department of Information Technology at the Faculty of Applied Sciences and Technology. Her research focuses on Industry 4.0, robotics safety, computer vision, and quality management systems. She has contributed to over 10 peer-reviewed publications between 2019-2024, with a particular emphasis on human-robot collaboration safety, manufacturing error reduction, and sustainable production frameworks. Key research themes include optimizing human-robot interaction through computer vision fusion, enhancing quality 4.0 standards, and designing effective industry-academia partnerships for technology adoption. Her work aligns with UN Sustainable Development Goals related to sustainable industry and innovation. Recent studies explore topics like protective separation distance in collaborative robotics, lighting conditions' impact on object detection accuracy, and taxonomy development for human augmentation technologies in manufacturing. No formal awards are listed, though her h-index of 20 reflects significant citation activity.