Find Academic Supervisors

• 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.

Dongyun NieView profile

Assistant Professor

• Customer Lifetime Value
• Data Mining
• Forecasting
• +2 more

Dr. Dongyun Nie is an Assistant Professor at Dublin City University's School of Computing. She holds a PhD in Computer Science with a specialization in Customer Relationship Management. Her core research explores customer lifetime value, forecasting, data mining, and record linkage. Her recent publications demonstrate interdisciplinary work spanning health informatics, sports analytics, and environmental data engineering. Research predominantly focuses on machine learning applications for real-world data challenges including eye-tracking systems, lifelog analytics, and public health data infrastructure. Teaching responsibilities include modules on Machine Learning (CA4109), Enterprise Systems Configuration (CA2049), and Web Design (CA106), integrating research expertise into computing education.

• IoT Systems
• Data Quality
• Fog Analytics
• +7 more

John Byabazaire is a Research Fellow at the School of Computer Science, University College Dublin (UCD). He holds a PhD in Computer Science from UCD (2024), following a BSc (Gulu University, 2013) and MSc (Waterford Institute of Technology, 2018). His research focuses on IoT systems for data collection, remote sensing, AI-driven end-to-end system management, and fog analytics. He has held academic roles including Assistant Lecturer at Gulu University (2018–2019) and teaching roles at UCD since 2019, including Occasional Lecturer and Senior Teaching Assistant. His research spans smart agriculture, data quality in IoT, and education technology. Notable contributions include frameworks for yield mapping in precision agriculture, trust-based data validation in IoT, and machine learning approaches for livestock health monitoring. He has secured grants like the National ICT Initiatives Support Program (Uganda Government, 2019–2020). Teaching includes courses on cloud computing, web development, and distributed systems. His articles emphasize IoT data quality, agricultural analytics, and educational technology innovation. He actively promotes technology adoption in African education and agriculture sectors through collaborative projects.

Liadh KellyView profile

Assistant Professor

• Applied Artificial Intelligence
• Intelligent Search
• Ubiquitous Computing
• +3 more

Liadh Kelly is an Assistant Professor in the Department of Computer Science at Maynooth University's Faculty of Science & Engineering. She supervises PhD students in applied artificial intelligence, focusing on intelligent search, ubiquitous computing, and multimodal information access. She is affiliated with the ADAPT SFI Research Centre, SFI Centre for Research Training in Foundations of Data Science, and Human Health Institute. BSc in Computer Science MSc (Research) in Computer Science PhD in Computer Science Her research explores context-sensitive retrieval and evaluation methodology in AI-driven systems. Key areas include ubiquitous computing for personal data analysis, deep learning classification for mental wellness indicators, and multimodal lifelogging integration. Recent publications focus on urban mental wellbeing classification , contextual cue analysis , and AI-driven health search systems . Articles address smart city applications , consumer health search , and cross-lingual medical retrieval . Professional roles include Doctoral Consortium Chair at ECIR 2023 and Programme Committee member for SIGIR and ICWSM conferences. She leads grants for 4-year PhD studentships with stipend and fee coverage.

• Human-Computer Interaction
• Auditory & Speech-Based Interfaces
• Accessibility Technologies
• +3 more

Ian Pitt is a Lecturer in Usability Engineering and Interactive Media at University College Cork (UCC). He leads the Interaction Design, E-Learning and Speech (IDEAS) Research Group, focusing on multimodal human-computer interaction, auditory interfaces, and accessibility solutions for visually impaired users. Pitt holds a D.Phil from the University of York, followed by research fellowships at Otto-von-Guericke University in Germany before joining UCC in 1997. His research interests include speech-based interfaces, e-learning systems, and accessibility technologies for blind users. Key projects include the EU-funded ENABLE Network (2011–2014) and prototype development for UniWink. He has secured significant grants, including €72,009 from IRCSET for voice analysis research and €19,478 from the EU for ICT-supported learning initiatives. Pitt has advised numerous PhD students, including Flaithri Neff (2011), Emma-Kate Crowley (2014), and current candidates Aine Kearns and Patrick Egan. His publications span journals like International Journal of Game-Based Learning and conferences such as ICCHP and ACM SIGACCESS. He has contributed to committees for conferences like CHI and the Irish HCI conference. Teaching modules include Usability Engineering, Human-Computer Interaction, and Digital Media Development. His work emphasizes inclusive design principles, with projects addressing navigation systems for blind students and adaptive e-learning frameworks. Recent research trends focus on ICT-delivered aphasia rehabilitation, emotional BCI interfaces, and multimodal learning systems. Collaborations include international partners through EU grants, reflecting his global impact in accessibility and educational technology.

• Perceptually guided graphics
• Virtual characters and crowds
• Virtual reality
• +4 more

Cathy Ennis is an Assistant Professor in the Department of Computer Science at Maynooth University, Ireland, specializing in perceptually guided graphics and virtual reality. She is actively involved in research and teaching, with affiliations to the ADAPT Centre and D-REAL SFI Centre for Research Training. Education: BEng in Electronic Engineering, Maynooth University MSc in Cognitive Science, University College Dublin PhD in Computer Graphics, Trinity College Dublin PG Dip in Higher Education Teaching and Learning, DIT Research Interests: Dr. Ennis's research centers on creating realistic virtual humans and crowds, exploring multisensory perception in VR, and applying these technologies in serious games and interactive systems. Her work integrates AI, HCI, and immersive technologies to enhance user engagement and learning. Her recent publications reflect a strong focus on virtual character realism, VR-based education, and machine learning applications in animation and interaction. Notable themes include speech-animation realism, cultural VR experiences, and reinforcement learning for character control. Scientific Awards: Best Paper Award, IEEE VR 2022 Teaching and Supervision: Dr. Ennis currently teaches CS401 (Machine Learning and Neural Networks) and CS261 (Multimedia Technology). She is actively seeking PhD students and collaborators interested in VR, games, and virtual characters, particularly using machine learning for gesture generation and engagement. Labs and Teams: She is a Funded Investigator with the ADAPT Centre and D-REAL SFI Centre for Research Training, contributing to interdisciplinary research in AI, HCI, and immersive technologies.

• Augmented Reality
• Virtual Reality
• Mixed Reality
• +6 more

Abey Campbell is an Assistant Professor in Computer Science at the School of Computer Science, University College Dublin. He holds roles such as Deputy Programme Director for Computer Science, Director of UCD VR Lab, and 1st Year Stage Coordinator. His research focuses on Augmented Reality (AR), Virtual Reality (VR), Mixed Reality (MR), and Multi-Agent Systems with applications in education, healthcare, and human-computer interaction. Campbell has coordinated modules like Augmented and Virtual Reality, Computer Graphics, Game Development, and Mobile Computing. He earned his BSc and PhD in Computer Science from University College Dublin. His work explores touchless interaction technologies, machine learning agents in STEM education, and ethical implications of emerging technologies. Notable contributions include RenderKernel for real-time rendering systems and studies on AR's role in decision support systems. Campbell has secured a grant from Enterprise Ireland for collaborative design documentation and participates in professional activities like peer reviewing for Frontiers in Virtual Reality and IEEE conferences. His collaborative projects include developing AR tools for veterinary training and evaluating immersive VR experiences in nursing education. The UCD VR Lab under his direction focuses on applied research in spatial computing and interactive systems.

Keara BarrettView profile

Lecturer

• Cybersecurity
• Network Management
• Ontology
• +4 more

Keara Barrett is a Lecturer and researcher in the Department of Computing at South East Technological University (SETU). She holds a PhD in Information and Communications Systems Science from the Walton Institute (2009). Her research focuses on cybersecurity, network management, ontology-driven systems, and ambient assisted living technologies. She actively contributes to interdisciplinary collaborations and has authored over 20 peer-reviewed publications. Barrett is Chair of two COST Actions: CA20137 (Gender Equality) and CA19122, highlighting her leadership in academic networks. Her work spans cyberattack mitigation in industrial control systems, policy models for autonomic networking, and user interface design for healthcare caregivers. With an h-index of 162 and 7 citations, her research impacts both theoretical and applied domains, including Industry 4.0 and eldercare technologies. She is affiliated with the compuCORE research group at SETU and supervises PhD students.

• Multi-Agent Systems
• Agent-Oriented Software Engineering
• Hypermedia Multi-Agent Systems
• +7 more

Rem Collier is an Associate Professor in the School of Computer Science at University College Dublin (UCD). He holds a PhD in Computer Science from UCD (2001) and has held academic roles including Assistant Lecturer (2004), College Lecturer (2005–2018), and his current position since 2018. His research focuses on Multi-Agent Systems (MAS), Agent-Oriented Software Engineering (AOSE), Hypermedia MAS, Digital Twins, and applications in smart agriculture and urban simulation. He leads the CONSUS project (2022–2024) and collaborates on CAMEO (2021–2024). Education: BSc (Pure/Applied Mathematics, University of Bristol, 1994), MSc (Computation, UMIST, 1995), MPhil (UMIST, 1996), PhD (UCD, 2001). Research interests include Agent Factory Framework, ASTRA programming language, and integrating MAS with microservices. Notable achievements include the CIA System Innovation Award 2003 (ACCESS architecture) and Best Paper Awards at EMAS2020 and Mobile Learning 2006. His work spans over 150 peer-reviewed publications and grants such as HOTAIR (2004–2005) and SIFT (2008–2011). Teaching includes modules on Multi-Agent Systems, Distributed Systems, and Security. He has coordinated courses at UCD and the Joint UCD-Fudan program in Beijing and Sri Lanka. Labs/Teams: Active in Hypermedia MAS Simulation, collaborating on projects like CONSUS and CAMEO, emphasizing smart agriculture and distributed knowledge graphs.

• 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.

• Neural Engineering
• Neuromuscular Systems
• Electromyography
• +4 more

Madeleine Lowery is a Professor in the School of Electrical and Electronic Engineering at University College Dublin. She leads the Personal Sensing research group, focusing on engineering approaches to study the human nervous system in health and disease, with applications in therapies for impaired motor function. Her interdisciplinary research integrates neural engineering, electromyography, and biomedical signal processing. Specializes in neuromuscular systems and neural control of movement Develops myoelectric control systems for artificial limbs Designs high-density electrode systems for neural activity recording Investigates deep brain stimulation mechanisms in Parkinson’s disease models Her research spans neurodegenerative disorders (ALS, Huntington’s disease) and rehabilitation technologies , including wearable sensors for gait and sleep analysis. Key methodologies involve computational modeling , adaptive control systems , and biomedical signal analysis .

• Quality of Experience
• Autonomous driving systems
• Human-computer interaction
• +2 more

Daniel Guilherme Gomes is an Assistant Lecturer in the Department of Computer and Software Engineering within the Faculty of Engineering and Informatics. His research develops human-machine interfaces for autonomous vehicles and evaluates immersive driving experiences. Research focuses on: Quality of Experience in autonomous driving systems Driver situation awareness enhancement Haptic feedback interfaces VR-based driving simulations Recent projects include the HEDGEHOG steering wheel prototype for conditional vehicle automation and SM-EXO hand exoskeleton for cobotic applications. Publications demonstrate expertise in evaluating user experience through crowdsourcing methodologies and developing continuous-time feedback devices.

• Nanomedicine
• Nanotoxicology
• Biomaterials
• +4 more

Dr. Marco Monopoli is a Senior Lecturer at the Department of Chemistry, Royal College of Surgeons in Ireland (RCSI). His research focuses on understanding bio-nano interactions, particularly the protein corona formation around nanomaterials and its implications for nanomedicine, nanotoxicology, and environmental impact. He leads a multi-disciplinary team developing methods to characterize nanoparticle-protein corona complexes using advanced physicochemical and proteomic techniques. Academic Positions: Senior Lecturer (2016–present), Postdoctoral Researcher (2009–2015) Education: PhD in Pharmacology (University College Dublin, 2005–2009), Master’s in Pharmaceutical Biotechnology (University of Modena and Reggio Emilia, 2005) Dr. Monopoli’s research interests include biomaterials, drug delivery systems, and chronic disease diagnostics. He has pioneered studies on how nanoparticle surface properties influence biological interactions, with applications in personalized medicine and environmental safety. His grants include funding from Science Foundation Ireland (SFI), European Commission (EU Horizon), and Enterprise Ireland for projects like Glyco-Nanoparticles for Nanomedicine and Sustainable Nanomaterial Design. Recent publications focus on nanoparticle corona dynamics, biomarker discovery, and immunomodulation strategies. Dr. Monopoli is actively involved in educational initiatives, holding a Postgraduate Diploma in Health Professional Education from RCSI.

Liting ZhouView profile

Assistant Professor

• Multimedia Retrieval
• Natural Language Processing
• Peer Learning
• +3 more

Dr. Liting Zhou is an Assistant Professor at Dublin City University's School of Computing, specializing in multimedia retrieval and information systems. She completed her PhD in Computer Science at DCU under Dr. Cathal Gurrin's supervision, focusing on multimedia analysis. Her research develops algorithms for video understanding, multimodal learning, and lifelog retrieval applied to education, healthcare, and personal informatics domains. Key research areas include: Cross-modal video-text matching and retrieval Lifelog question answering systems Multimodal fusion techniques User-friendly retrieval interfaces She serves as reviewer for top conferences/journals and has chaired sessions at MMM (2023-2024) and ECIR (2023).

• Augmented Reality
• Gait Analysis
• Quality-of-Experience
• +12 more

Dr. Thiago Braga Rodrigues is a Lecturer in the Faculty of Engineering and Informatics , affiliated with the Department of Computer and Software Engineering . His research spans multiple disciplines including Machine Learning , Augmented Reality , and Biomedical Engineering , focusing on applications for Parkinson's Disease and Wearable Sensors . He has contributed to 12 research outputs since 2018, including peer-reviewed conference papers and journal articles. Research interests include: Development of sensor-based telehealth systems for Parkinson's Disease Application of synthetic data generation in machine learning Design of VR glove interfaces with haptic feedback Quality-of-Experience (QoE) evaluation in mixed reality environments Wearable tremor assessment and gait analysis Key research outputs show expertise in: Augmented Reality applications for movement disorders Integration of variational autoencoders and wireless sensors for performance prediction Time-frequency domain analysis of physiological data Design of user-centered telehealth systems Immersive VR controllers with tactile feedback Applications of machine learning in sports science