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Stephen RedmondView profile

Associate Professor

• Biomedical Signal Processing
• Tactile Sensing
• Robotic Manipulation
• +6 more

Stephen Redmond is an Associate Professor at the School of Electrical and Electronic Engineering at University College Dublin (UCD), where he leads the Biomedical Sensors and Signals Research Group. He completed his Bachelor of Electronic Engineering at UCD in 2002, followed by a PhD in biosignal processing in 2006 on at-home sleep staging. After spending 10 years at the University of New South Wales in Sydney, he returned to UCD in 2018. His educational background includes: BE Electronic Engineering, University College Dublin (2002) PhD Biosignal Processing, University College Dublin (2006) Redmond's research focuses on the intersection of signal processing, pattern recognition, and novel sensing hardware to enable longitudinal health monitoring in home environments. His group has developed expertise in wearable sensor systems for human movement analysis, robust physiological signal measurement in unsupervised settings, tactile physiology and sensing, and the application of deep neural networks for medical image segmentation and robotic manipulation. His work bridges biomedical engineering with practical applications in healthcare and robotics. His recent publications demonstrate a strong trend toward integrating tactile sensing with machine learning for robotic applications, particularly in slip detection and dexterous manipulation. His research spans multiple disciplines including biomedical engineering, robotics, computer vision, and artificial intelligence, with a particular emphasis on practical applications that bridge the gap between laboratory research and real-world implementation. His notable recognition includes: Science Foundation Ireland President of Ireland Future Research Leaders Award for his project on tactile sensing As a research leader, Redmond mentors multiple doctoral students and postdoctoral researchers, securing significant research funding to support his team's work in tactile sensing and robotic manipulation. His research group has established strong industry connections, notably through the co-founding of Contactile, a tactile sensor company. The group maintains active collaborations with both academic and industry partners to translate research into practical applications. The Biomedical Sensors and Signals Research Group operates a well-equipped laboratory featuring advanced robotics platforms including a UR5e six-axis arm, Physik Instrumente Hexapods, ATI force/torque sensors, multiple 3D printers, and specialized tactile sensing equipment including Contactile Dev Kits and Meta Digit tactile sensors. This infrastructure supports their research in tactile physiology, sensor development, and intelligent robotic manipulation.

• Wearable Sensors
• Smart Garments
• Sustainable Textiles
• +5 more

Dr. Shirley Coyle is an Assistant Professor in the School of Electronic Engineering at Dublin City University (DCU) and Programme Chair for the BSc Global Challenges. She holds a BEng in Electronic Engineering from DCU (2000) and a PhD in Biomedical Engineering from NUI Maynooth (2005). Her career includes roles as a Telecoms Engineer at Siemens, Research Fellow at the National Centre for Sensor Research, and Team Leader of Wearable Sensors in the INSIGHT Centre for Data Analytics. She also studied part-time at the Grafton Academy for Fashion Design and later founded a consultancy in wearable technologies. Her research focuses on smart garments, wearable sensors, and sustainable textiles, with applications in healthcare, sports performance, and S.T.E.A.M. integration. Key interests include developing wearable chemical sensors, energy-autonomous sensing systems, and IoT-enabled rehabilitation devices. She has pioneered work on wearable sensors for monitoring chronic diseases, athlete training, and home rehabilitation using VR. Dr. Coyle’s work spans interdisciplinary collaboration, combining biomedical engineering with textile design. Her contributions include innovations in electrospun textiles, self-powered sensors, and sensor integration with microfluidics. She has held leadership roles in DCU’s Governing Authority and promotes STEM education through design-focused initiatives.

Rosemary MonahanView profile

Professor

• Software Verification
• Dependable Software Systems
• Formal Methods
• +3 more

Rosemary Monahan is a Professor in the Department of Computer Science at Maynooth University and an affiliate of the Hamilton Institute. She holds BSc and MSc degrees from University College Dublin and a PhD from Dublin City University. As Maynooth University's institutional lead for ADAPT (SFI Research Centre for AI-Driven Digital Content Technology), she focuses on advancing software dependability through formal methods and AI integration. Her research interests include safety-critical systems, dependable software, formal verification, and computational thinking education. She co-founded the VerifyThis competition series and leads projects such as MAIVV (Modular AI Verification and Visualisation) funded by SFI, and VALU3S (Verification and Validation of Automated Systems) funded by Horizon 2020. She has secured over €2.5M in EU funding for the Erasmus Mundus programs in dependable software systems. Monahan’s educational contributions include pioneering computational thinking resources (CoCoA and InSPECT projects) and teaching modules on software verification and rigorous software processes. She supervises PhD students in data science and advanced networks and collaborates with institutions like INRIA, Microsoft Research, and Amazon Web Services. Her professional roles include editorships in journals like Science of Computer Programming and leadership in conferences like iFM and FMICS. She actively promotes gender equality in computing through initiatives like INGENIC and TechMate toolkits.

Lucy HedermanView profile

Associate Professor

• Health Informatics
• Clinical Decision Support Systems
• Healthcare Data Integration
• +3 more

Dr. Lucy Hederman is an Associate Professor in Computer Science at Trinity College Dublin (TCD), affiliated with the O'Reilly Institute. Her research focuses on leveraging data and documents to support clinical decision-making, particularly in healthcare knowledge work. She has led interdisciplinary projects addressing data integration for rare diseases (e.g., ANCA-vasculitis, MND) and socio-technical challenges in adopting patient-generated health data (PGHD) into clinical practice. Dr. Hederman has secured over €xxxk in research funding and leads the Heterogeneity and Interoperability (H&I) challenge in the SFI-funded ADAPT 2 Centre. Her educational background includes advanced studies in computer science and healthcare informatics, though specific degree details are not explicitly stated in the text. She has supervised 4 PhDs, 2 research MScs, and co-supervised 6 PhDs, while currently mentoring 8 graduate students. Her career includes founding TCD spinouts PBOC and BIOLOGIT, which align with her research in health informatics and technology. Key research interests include: Interdisciplinary collaboration between clinicians, researchers, and technologists Data harmonization for multi-national clinical studies (e.g., FAIRVASC, Precision-ALS) Development of clinical decision support systems (CDSS) Design of mobile health (mHealth) tools for underserved populations Recent work emphasizes FAIR principles for healthcare data and socio-technical factors influencing PGHD adoption. She has contributed to over 70 peer-reviewed publications and actively participates in initiatives like the EU-funded TRANSFORM project and HRB Primary Care Research Centre. Dr. Hederman’s professional memberships include the Irish Computer Society, ACM, and Healthcare Informatics Society of Ireland. Her research has impacted healthcare practices in Ireland, with many MSc student projects influencing local health services.

John McDonaldView profile

Professor

• Computer Vision
• Robotics
• Artificial Intelligence
• +4 more

John McDonald is a Professor in the Department of Computer Science at Maynooth University, where he has held a faculty position since 2001. He is affiliated with the Maynooth University Hamilton Institute and the Assisted Living and Learning Institute (ALL). His research focuses on computer vision, robotics, and AI, emphasizing spatial perception and autonomous systems. He has contributed to areas such as visual SLAM, intelligent vehicle systems, and digital holography, with funding from SFI, EU, and other agencies. Currently, he is a Funded Investigator in Lero (SFI Research Centre for Software) and collaborates on the SFI Blended Autonomy Vehicles Spoke. Key research themes include simultaneous localization and mapping (SLAM), robotic navigation, 3D reconstruction, and applications in autonomous driving. His work integrates cutting-edge techniques in computer vision and machine learning to address challenges in spatial intelligence and perception. Publications highlight advancements in dense mapping, fisheye camera systems, and geospatial analysis. He has held visiting roles at MIT’s CSAIL and the National Centre for Geocomputation. His contributions span academic journals, conferences, and technical reports, reflecting a strong emphasis on both theoretical and applied robotics research. John McDonald has supervised numerous research projects and contributed to initiatives like the John and Pat Hume Doctoral Scholarships. His work bridges academia and industry, with a focus on real-world applications of autonomous systems and AI-driven robotics.

Katarina DomijanView profile

Associate Professor

• Bayesian applications to data analysis
• Machine learning
• Statistical computing
• +3 more

Katarina Domijan is an Associate Professor in Statistics at the Department of Mathematics and Statistics, Maynooth University, Ireland. She holds a PhD in Statistics from Trinity College Dublin (2008) and has been affiliated with Maynooth University since 2008, transitioning from Lecturer/Assistant Professor to her current role in 2024. Her academic career includes editorial roles as Associate Editor for The R Journal (2021–present) and the Journal of Computational and Graphical Statistics (2015–2024). Research Interests focus on Bayesian methods for high-dimensional data, particularly in classification problems. She specializes in feature selection and model visualization, with applications spanning agricultural data analysis (e.g., hyperspectral imaging for lactose prediction), medical diagnostics (e.g., sepsis and cancer detection), and space physics (e.g., Saturn Kilometric Radiation classification). Her work bridges theoretical statistics with real-world challenges, including socio-economic studies and forensic science. Key Research Areas Bayesian statistical inference Machine learning for large feature spaces Statistical computing and model interpretability Data visualization and chemometrics Scientific Contributions include leading projects like VistaMilk Phase II (2024–2030, €152,300) and Measuring Carbon Sequestration (2024–2028, €174,788.90). Her 15 most recent publications highlight advancements in ensemble modeling, spatial statistics, and medical diagnostics. Scientific Awards Associate Editor, The R Journal (2021–present) Associate Editor, Journal of Computational and Graphical Statistics (2015–2024) Student Supervision includes PhD and MSc graduates such as Dr. Bruna Wundervald (2024) and Dr. Mark O’Connell (2017). She also collaborates with researchers across disciplines, including Dr. Nadim Akasheh in food hypersensitivity studies.

Md Noor-A-RahimView profile

Assistant Professor

• Intelligent Transportation Systems
• Machine Learning
• Internet of Things
• +4 more

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.

• Design Ergonomics
• Human Factors in Product Design
• User-Centered Design
• +6 more

Leonard O'Sullivan is a Full Professor at the School of Architecture & Product Design , University of Limerick, and a Funded Investigator at the Confirm Smart Manufacturing Centre. He leads the Design Factors research group, focusing on human-robot collaboration , 3D printing in medical device innovation , and ergonomics of musculoskeletal disorders . Education: PhD (2001), M.Sc. (1998), B.Tech. (1997) Key research themes: User-Centered Design , Medical Device Safety , Additive Manufacturing , and Worker-Robot Interaction His recent publications highlight applications of 3D printing in palliative care and antimicrobial manufacturing, alongside systematic reviews on human factors in medical device design. Awards include Fellow of the Irish Human Factors and Ergonomics Society and Chartered Fellow of the Institute of Ergonomics and Human Factors (UK) . Active collaborations with University Hospital Limerick Contributions to UN Sustainable Development Goals: Education and Academic Innovation

• Machine Learning
• Time Series Analysis
• Text Mining
• +7 more

Dr. Georgiana Ifrim is an Associate Professor at the School of Computer Science, University College Dublin , where she serves as Director of Graduate Research and Co-Lead of the SFI Centre for Research Training in Machine Learning (ML-Labs). She holds concurrent appointments as an SFI Funded Investigator at the Insight Centre for Data Analytics and VistaMilk SFI Research Centre . Her academic journey includes postdoctoral research at Insight Centre, Cork Constraint Computation Centre (4C), and Aarhus University's Bioinformatics Research Centre (BiRC). Education: BSc in Computer Science, University of Bucharest, Romania MSc and PhD in Informatics, Max-Planck Institute for Informatics, Germany Dr. Ifrim specializes in scalable predictive modeling for diverse applications including: Sequence learning (DNA analysis, time series) Real-time prediction for streaming data (news/social media, energy) Interpretable machine learning models Knowledge graph exploitation (WordNet/Yago, Naga) Wearable sensor data analysis (sports science, health monitoring) Energy price forecasting for sustainable systems Her recent publications focus on time series explainability (TSHAP, tsCaptum), multivariate analysis (scalable channel selection), and healthcare applications (fall detection, walking speed estimation). Key contributions include open-source tools like SEQL (sequence learner) and Twitter-Topics (event detection). Scientific Awards: Winner of SNOW@WWW14 Data Challenge As Director of Graduate Research, she oversees advanced academic training while leading funded projects at the intersection of machine learning , real-time analytics , and domain-specific applications in agriculture, healthcare, and digital journalism. Her research group maintains active GitHub repositories with open-source implementations.

• Artificial Intelligence
• Machine Learning
• Medical Imaging
• +4 more

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.

• Ageing
• Smart Cities
• Digital Health
• +10 more

David Prendergast is a Professor in Science, Technology & Society at Maynooth University's Faculty of Social Sciences, where he also serves as Head of the Departments of Anthropology and International Development. With a PhD in Anthropology from the University of Cambridge (2002), his career spans academic roles at Maynooth and industry leadership at Intel, focusing on technology design for aging populations. Research interests: Ageing, Smart Cities, Digital Health, Visual Ethnography, East Asia, Human-Centred Design Key projects: Global Ageing Project, Urban Living Labs in London/Dublin/San Jose, Smart Stadium with Croke Park, Autonomous Vehicles for Older Adults (SFI-funded) His work bridges anthropology with digital innovation , particularly in East Asia contexts. Recent publications explore IoT applications in age-friendly cities , robotics in Japanese elder care , and visual ethnography for aging-in-place solutions. Scientific recognition includes: CHOICE Outstanding Academic Title (2016) Intel Involved Global Hero Award Fortune 500 Hero designation Intel Labs Gordon E. Moore Award As advisor to PhD graduates like Rebekah Maguire (2016) and Ciaran Walsh (2020), he leads Living Lab initiatives on air pollution monitoring and flood management systems . His Circuits of Care documentary (2021) examines human-robot interactions in Japan's aging society .

• Photodetection
• Optical Engineering
• Photovoltaic Energy Systems
• +3 more

Alan Morrison is a Senior Lecturer in the Department of Electrical and Electronic Engineering at University College Cork (UCC), part of the College of Science, Engineering and Food Science (SEFS). He holds roles including Vice-Dean for Undergraduate Affairs (since 2021) and former Dean of Engineering (2012–2018). His academic career began at UCC in 1998, progressing from Lecturer to Senior Lecturer in 2006. A Chartered Physicist (1998) and Senior Member of IEEE (since 2002), Morrison is also a Science Foundation Ireland Principal Investigator. Education : - B.E. (First Class Honors) in Electrical Engineering, UCC (1992) - Ph.D. in Electrical Engineering, National University of Ireland (1997) Research Interests : Morrison's work focuses on three core areas: 1. Multi-spectral LED lighting for horticulture (collaboration with School of BEES, UCC) 2. Optical detection, including Geiger-mode avalanche photodiodes (SPADs) for low-light imaging and photon counting 3. Photovoltaic systems and energy storage, with contributions to multi-junction solar cell development and concentrated photovoltaic (CPV) systems. His dormant research included nanopore DNA analysis technologies. Grants & Awards : - Science Foundation Ireland (SFI) grants: PhoCUS (€897k), MODCON-PV (€310k) - EU funding: Nano-ChApp (€203k) - Over 150 peer-reviewed publications and multiple patents. Teaching : Courses include EE1007 (Intro to Electrical Engineering), NE4008 (Photovoltaic Systems), and others focused on photonics, renewable energy, and embedded systems. Lab & Collaborations : Affiliated with the Tyndall National Institute's Photonics Centre. Active in interdisciplinary projects involving nanotechnology, energy systems, and agricultural technology.

David McKeownView profile

Assistant Professor

• Spacecraft Dynamics and Control
• Aerospace Engineering
• Nanosatellite Technology
• +3 more

Dr. David McKeown is an Assistant Professor in the School of Mechanical and Materials Engineering at University College Dublin (UCD). His research focuses on dynamics and control of space structures, nanosatellite hardware design, and attitude determination and control systems (ADCS). He leads the EIRSAT-1 project, Ireland's first satellite, launched in 2023, and manages the National Space Subsystems and Payloads Initiative (NSSPI), securing €7.9 million in funding. As an investigator for the European Space Agency’s DEAR project, he develops robotic systems to mitigate lunar dust effects. He collaborates with UCD’s School of Physics on ADCS projects and founded Dublin Maker and Science Hack Day Dublin. Education: Bachelor of Engineering (BE), University College Dublin Doctor of Philosophy (PhD), University College Dublin Research Themes: Spacecraft dynamics control, nanosatellite ADCS, space mission design, and space hardware testing. His work bridges academia and industry, with a focus on advancing Ireland’s space capabilities through projects like EIRSAT-1 and NSSPI. Grants & Funding: Principal Investigator for the €7.9M NSSPI project under DTIF and SFI grants supporting ADCS testbed development and lunar dust mitigation research. Advising & Leadership: Leads the Space Structure Dynamics and Control Theme at UCD’s Centre for Space Research (C-Space). Chair of SMME PhD transfer panels and member of various university committees. Public engagement includes roles in RTE’s Big Life Fix and Kildare Libraries’ Space Week. Labs & Teams: UCD Centre for Space Research, DEAR project collaborations, and partnerships with industry through NSSPI.

• Educational Technology
• Computer-Assisted Language Learning (CALL)
• Game-Based Learning
• +6 more

Dr. Monica Ward is a Teaching Professor at Dublin City University, currently serving as the Dean of Teaching and Learning within the Office of the Vice-President for Academic Affairs. Her work bridges technology and pedagogy, focusing on innovative educational tools. Office of the Vice-President for Academic Affairs Glasnevin Campus, Room D114 Monica's research interests revolve around Computer-Assisted Language Learning (CALL) , educational technology , and game-based learning . She has contributed significantly to inclusive education, language revitalization (e.g., Irish and Nawat), and formative assessment in both language learning and introductory programming. Her projects often leverage Artificial Intelligence , Virtual Reality , and gamification to create engaging, accessible learning environments. Her recent publications highlight trends in adaptive learning technologies , socio-cultural immersion , and student-centered CALL design . Notable works include studies on educational robotics for dyslexic learners, AI-driven text analysis in game-based language learning, and the impact of interactive oral assessments. Monica has developed educational games like Cipher: Faoi Gheasa and Cipher VR , which integrate mythology and technology to enhance language reconnection. She also explores peer observation, collaborative modules, and green approaches in educational app development, reflecting her commitment to sustainable and culturally relevant teaching strategies.

• Rehabilitation Engineering
• Robotics
• Mechanical Design
• +5 more

Dr. Donal Holland is a researcher at the University College Dublin (UCD) and a funded investigator at Insight Centre. He co-leads the UCD Rehabilitation Engineering and Robotics Lab with Dr. Giacomo Severini, focusing on the intersection of technical knowledge, mechanical design, robotics, and biomechanics. His work addresses the creation and dissemination of technical knowledge, STEM education outreach, and soft robotics for rehabilitation applications. Key Research Areas: Rehabilitation Engineering, Soft Robotics, Design Pedagogy, Wearable Sensors, and Biomechanics. Recent publications highlight advancements in soft robotic actuators, predictive control systems for human movement, and educational tools like DEFT and the Soft Robotics Toolkit. His lab’s work includes devices for stroke rehabilitation and wearable biomedical applications. The most recent articles (2024–2018) span Robotics, Neuroscience, Materials Science, and Education. Themes include neural controllers for mobility, 3D-printed actuators, design knowledge reuse, and the integration of technology into rehabilitation. Subfields emphasize predictive simulations, wearable devices, STEM outreach, and materials engineering. Labs & Teams: Co-leader of the UCD Rehabilitation Engineering and Robotics Lab, he develops tools for rehabilitation robotics and open-access platforms to support researchers and educators globally.