Find Academic Supervisors

• Digital Media in Education
• Collaborative Technologies
• Entrepreneurship Education
• +2 more

Dr. Peter Tiernan is a Lecturer at the School of STEM Education, Innovation and Global Studies within Dublin City University's Institute of Education. He chairs the B.Sc. in Education and Training program and is a member of the Further Education and Research Centre (FETRC). His research focuses on two primary areas: digital media in education (particularly video and collaborative technologies) and entrepreneurship education (examining social value and skill development impacts). His work bridges technological innovation with pedagogical practice to enhance learning experiences. Recent publication trends demonstrate Tiernan's focus on technology integration in education, with special attention to: pandemic-era learning adaptations, inclusive STEAM education for visually impaired students, AI's role in academic writing, and emerging technologies like VR. His scholarship consistently explores equity, accessibility, and innovative assessment methods. As an educator, Tiernan teaches courses in digital media, personal development, entrepreneurship education, instructional design, and teaching/training skills.

Nikola NikolovView profile

Associate Professor

• Machine Learning
• Natural Language Processing
• Graph Drawing
• +5 more

Nikola Nikolov is an Associate Professor in the Department of Computer Science & Information Systems at the University of Limerick. He holds memberships in the Centre for Research Training in Foundations of Data Science, the Data-Driven Computer Engineering Research Centre, and Lero – the Irish Research Centre for Software, reflecting his deep integration into Ireland's national research infrastructure. His research spans Machine Learning, Natural Language Processing, and Graph Drawing, with specialized expertise in deep learning architectures, matrix factorization techniques, and feature extraction methodologies. Current work focuses on multilingual NLP applications for social media analysis, convolutional neural network optimizations, and collaborative filtering systems, demonstrating consistent innovation across computational linguistics and graph theory domains. Analysis of his 2023-2025 publications reveals a dominant focus on combating online toxicity through advanced NLP systems for racism and hate speech detection across multiple languages, alongside significant contributions to computer vision efficiency and recommendation system architectures. His work bridges theoretical advancements with real-world applications in healthcare analytics and autonomous systems. Prof. Nikolov actively contributes to UN Sustainable Development Goals through data science applications while maintaining strong industry connections via research centres focused on software innovation and data-driven engineering solutions.

Sarah GuerinView profile

Associate Professor

• Computational Chemistry
• Pharmaceutical Crystal Engineering
• Organic Piezoelectric Materials
• +3 more

Sarah Guerin is an Associate Professor at the University of Limerick, affiliated with the Bernal Institute, Centre for Battery and Energy Materials Research, Department of Chemical Sciences, and SSPC - the Research Ireland Centre for Pharmaceuticals. Her research focuses on computationally-guided crystal engineering of organic crystals for pharmaceutical and energy applications, including piezoelectric materials for eco-friendly sensing and energy harvesting. She holds an ERC Starting Grant and is an SSPC Funded Investigator. Key contributions include the development of molded multicomponent crystal discs for energy harvesting and biomolecular assemblies with programmable electromechanical properties. Her expertise spans Density Functional Theory, molecular modeling, pharmaceutical crystal engineering, and science education outreach. Awards include the Postdoctoral Researcher of the Year (2021) and Young Scientist of the Year (2018). She is actively involved in professional organizations such as the Royal Society of Chemistry, IEEE, and the Microscopy Societies of Ireland and the UK. Research interests extend to sustainable development goals, particularly in eco-friendly materials and energy systems. She collaborates internationally with institutions in Singapore, Israel, and the US, and has published extensively on crystal engineering, piezoelectricity, and bio-inspired materials. Her work bridges computational modeling and experimental validation, emphasizing practical applications in health monitoring and renewable energy.

Eoin HinchyView profile

Associate Professor

• Manufacturing Engineering
• Advanced Robotics
• Machine Learning
• +3 more

Dr. Eoin Hinchy is an Associate Professor at the University of Limerick (UL), affiliated with the School of Engineering, Bernal Institute, and the Centre for Sustainable Digital (Re)Manufacturing. His research focuses on digital manufacturing, advanced robotics, and additive manufacturing, with emphasis on robotic safety systems and machine learning applications. He holds a PhD in Mechanical Engineering from UL (2016) and previously worked at DePuy Synthes and Confirm Smart Manufacturing. His work integrates digital twin technology, robotics, and 3D printing to enhance manufacturing processes. He leads an SFI-ADI co-funded project on human-robot interaction in factories. Teaching interests include advanced manufacturing processes, industrial robotics, and smart manufacturing systems. He has published extensively on topics such as 4D printing, composite material processing, and machine learning in manufacturing quality control. Recent research trends include the development of adaptive materials for 3D printing, robotic drilling optimization, and digital twin frameworks for life sciences automation. His collaborative projects with industry partners like Analog Devices International aim to advance factory-of-the-future technologies.

John J CollinsView profile

Associate Professor

• Compiler Optimization
• Software Parallelization
• Robotics
• +4 more

John J Collins is an Associate Professor at the University of Limerick, affiliated with the Department of Computer Science & Information Systems and Lero – the Research Ireland Centre for Software. His research focuses on compiler optimization, software parallelization, robotics, and evolutionary algorithms. Notable contributions include work on grammatical evolution and empirical studies in software requirements engineering. He has authored 36 research outputs since 1997, including a comprehensive handbook on grammatical evolution. Research Interests: Compiler flag optimization using genetic engineering Robotics (mobile robot control, SLAM) Machine vision applications Parallelization techniques in multi-core architectures Grammatical evolution methodologies Key Publications: His recent work includes a 2019 study on requirement engineering challenges across 11 organizations and a 2017 case study on data decomposition for parallel software systems. The 2018 Handbook of Grammatical Evolution remains a foundational text in evolutionary computing. Advising & Grants: While no specific advisees are listed, his research has been supported through institutional affiliations with Lero and the Department of Computer Science. Active in both academic publishing and applied software research. Labs/Teams: Principal member of Lero – the Irish Software Research Centre, contributing to collaborative projects in software systems and AI-driven development.

Gregory ProvanView profile

Professor

• Complex Systems
• Artificial Intelligence
• Diagnostics
• +3 more

Professor Gregory Provan is a Full Professor and Programme Coordinator for BSc Data Science and Analytics at University College Cork's School of Computer Science and Information Technology. He directs the Complex Systems Laboratory and holds a PhD from the University of Oxford, with prior academic appointments at the University of Pennsylvania. His educational journey includes: BSE from Princeton University MSc from Stanford University DPhil from University of Oxford This foundation supports his interdisciplinary research approach. Professor Provan's research spans: complex systems design and analysis with applications in: Embedded diagnostics algorithms for large-scale systems Stochastic model-based diagnosis frameworks Automated benchmark model generation Sustainable energy system optimization Co-design of embedded systems His work bridges artificial intelligence, data analytics, and network architectures to solve real-world engineering challenges. Analysis of his extensive publication record reveals core themes: Advancements in model-based diagnosis and control Computational methods for complex systems Applications in sustainable energy and building automation Innovations in stochastic optimization and machine learning His recent work increasingly focuses on cybersecurity for cyber-physical systems and explainable AI. Professor Provan has secured significant research funding including: Science Foundation Ireland grants totaling over €1.2M Industry partnerships with Tyndall National Institute Enterprise Ireland support for competence centers His research group addresses fundamental challenges in complex systems engineering. He has supervised numerous doctoral candidates to completion, including: Jun Wang (Modeling real-world complex systems) Alie El-Din Mady (Networked control systems) Margarita Razgon (Constraint satisfaction problems) Ma Ji (Uncertainty visualization) Current doctoral researchers continue work on wireless sensor networks and analog system diagnosis. Honors include the 2008 Best Paper Award from the IEEE Prognostics and Health Management Conference for his work on approximation techniques in model-based diagnostics. Professor Provan leads the Complex Systems Laboratory which focuses on: Modeling and analysis of sustainable energy systems Diagnostics and control of large-scale networks Embedded system co-design The lab maintains collaborations with international research institutions and industry partners.

• Pedestrian Trajectory Prediction
• Crowd Monitoring Systems
• Computer Vision
• +6 more

Muhammad Haris Kaka Khel is a part-time lecturer at Atlantic Technological University's Department of Computing in Ireland while pursuing his Ph.D. in pedestrian trajectory prediction. His research focuses on developing adaptive systems that analyze human behavior, social interactions, and environmental dynamics to forecast multiple possible pedestrian paths using the PATHS framework. He works under supervisors Dr. Kevin Meehan and Dr. Paul Greaney at ATU Donegal, with additional guidance from Dr. Marion McAfee (ATU Sligo) and Dr. Sandra Moffet (Ulster University). B.S. in Electrical Engineering (Communication specialization) from UET Peshawar, Pakistan (2019) Research master's at University of Kuala Lumpur, Malaysia (completed 2022) with Erasmus exchange experience at Politecnico di Torino, Italy Ph.D. candidate at Atlantic Technological University (expected completion 2026) Research Interests Khel's work addresses critical gaps in pedestrian trajectory prediction by modeling multiple possible paths rather than single deterministic outcomes. This approach enhances robustness in dynamic environments like urban streets and public spaces, with applications in: Autonomous vehicle navigation safety Urban planning and walkability improvements Event crowd management systems Smart surveillance for anomaly detection Accessible navigation for visually impaired Public transportation optimization Teaching & Collaboration As a part-time lecturer at ATU Donegal, he contributes to computing education while maintaining external collaborations including: Sponsored research with Saudi Arabia's Deputyship for Research and Innovation Graduate research assistant role at University Kuala Lumpur-British Malaysian Institute Former intern at Center of Intelligent Systems and Networks Research

Anthony ElliottView profile

Research Professor

• Sociology
• Artificial Intelligence
• Robotics
• +4 more

Anthony Elliott is Distinguished Professor of Sociology and Dean of External Engagement at the University of South Australia, where he serves as Executive Director of the Hawke EU Jean Monnet Centre of Excellence. He holds concurrent positions as Visiting Global Professor at Keio University (Japan) and Visiting Professor at University College Dublin. Previously, he was Director of the Hawke Research Institute (2012-2016) and Associate Deputy Vice-Chancellor at Flinders University. His research examines the societal impacts of emerging technologies, with current focus areas including: Robotics and AI's implications for employment futures Identity transformations in digital societies Globalization and new economic structures Theoretical frameworks for understanding accelerated social change Professor Elliott's recent publications demonstrate strong interdisciplinary engagement, particularly bridging sociology with technology studies. Key themes include human-machine relationships, cultural impacts of AI, mobility transformations, and reconfigurations of identity in globalized contexts. His work consistently addresses how technological acceleration reshapes fundamental social structures. Major scientific honors include: Member of Order of Australia (2023) Lifetime Achievement Award, University of Melbourne (2024) Fellowship at Academy of Social Sciences Australia Visiting professorships at 12+ international institutions He leads significant research initiatives including ARC-funded projects on Industry 4.0, socially assistive robotics in aged care, and EU Erasmus+ collaborations on driverless vehicles. As founding director of multiple research centers, he oversees interdisciplinary teams examining the societal dimensions of technological transformation.

Susan Nic RéamoinnView profile

Lecturer

• Early Childhood Education
• Language Development
• Digital Literacy
• +3 more

Susan Nic Réamoinn serves as a Lecturer in Education at Marino Institute of Education since 2021, specializing in literacy and early childhood education within the Department of English and Irish. Holding a PhD in Education from Trinity College Dublin (2022), her work bridges theoretical research and practical classroom applications in language development. Her academic credentials include: Bachelor of Education (DCU, St. Patrick’s College), 2008 Master of Science in Business and Information Technology (DCU, Fiontar), 2011 Diploma in Public Relations (Fitzwilliam Institute), 2012 Postgraduate Diploma in Educational Leadership (National University of Ireland Maynooth), 2014 PhD in Education (Trinity College Dublin), 2022 Nic Réamoinn’s research centers on language acquisition in early childhood, with pioneering investigations into programmable floor robots (e.g., Bee-Bots) for second language learning and computational thinking development. Her methodology rigorously incorporates child perspectives, challenging traditional top-down educational technology approaches through sociocultural frameworks. Her publication trajectory reveals consistent innovation in digital language pedagogy, from European curriculum development contributions (2021) to empirical robotics studies in Irish primary classrooms (2018-2019). These works collectively demonstrate how low-tech robotics can democratize language learning while advancing computational literacy. Her scholarly impact is recognized through prestigious awards: Léargas European Language Label 2013 for multilingual classroom project leadership As an educator, Nic Réamoinn delivers English Methods and Early Childhood Education modules across undergraduate teacher training programs. Her prior three-year tenure as Education Officer (Language) with Ireland’s National Council for Curriculum and Assessment directly informed the Primary Language Curriculum. She actively translates research into practice through international workshops on classroom robotics. Professional collaborations span EuroCALL, CIDREE, and Excited networks, with conference presentations in Louvain-la-Neuve, Lyon, and Dublin demonstrating sustained engagement in global educational technology discourse.

• Deep Learning
• Cybersecurity
• Smart Manufacturing
• +3 more

Iram Arshad is a Research Engineer at the Technological University of the Shannon: Midlands Midwest, specializing in cybersecurity and deep learning applications. Their work addresses critical challenges in smart manufacturing, adversarial machine learning, and data security. Research contributions include frameworks for detecting backdoor attacks in deep neural networks and methodologies for enhancing transparency in technology education research. Arshad's expertise aligns with UN Sustainable Development Goals related to industry innovation and infrastructure. Education: Doctoral degree from Technological University of the Shannon (2024) Key research interests focus on backdoor attacks, deep learning model vulnerabilities, and Industry 4.0 cybersecurity. Recent work explores runtime data-free attack methods and big data testing challenges. Arshad has collaborated internationally on projects addressing adversarial machine learning and educational research transparency.

• Robotics
• Automation
• Deep Learning
• +4 more

Waqar Shahid Qureshi is a Lecturer in Robotics and Automation at the Department of Mechanical & Industrial Engineering, National University of Ireland, Galway. His research focuses on robotics, automation, deep learning applications in agriculture and infrastructure, and cyber-physical systems. He has published extensively in journals like Automation in Construction and Precision Agriculture, with notable work on pavement condition rating using deep learning and crop classification systems. His research has garnered 1,136 citations and an h-index of 17. Key research areas include: Pavement engineering and infrastructure maintenance Deep learning methodologies for agriculture (crop/weed classification, drone-based monitoring) Cyber-physical system optimization in industrial settings Image processing for agricultural automation Recent publications emphasize smart agriculture solutions and infrastructure health monitoring, reflecting his interdisciplinary approach to solving real-world engineering challenges.

Sara KaramView profile

Researcher

• Sensor Technology
• Manufacturing Processes
• Non-Destructive Testing
• +5 more

Dr. Sara Karam is a Technology Leader in the Department of Engineering Technology at South East Technological University (SETU), affiliated with the South Eastern Applied Materials Research Centre (SEAM). She holds a BEng in Mechanical Engineering from the American University of Beirut and a PhD in advanced sensor monitoring of manufacturing processes from the University of Naples Federico II, Italy. Her research focuses on sensor technology, manufacturing processes, non-destructive testing (e.g., X-ray Micro-Computed Tomography), additive manufacturing, and applications of FEA/CFD. She has contributed to EU FP7 projects optimizing manufacturing processes and led a partnership with Viecura Medical on hip protector technology for the elderly. Currently, she collaborates with SEAM’s FEA team to develop engineering solutions using advanced simulation techniques. Key areas of expertise include vibration sensor monitoring, tool life prediction, and robotics integration in manufacturing. She is actively accepting PhD students and has published widely in peer-reviewed journals and conferences, with her work referenced in 3 patents and widely read on platforms like Mendeley.

Frances ClearyView profile

Research Professor

• Artificial Intelligence
• Healthcare Innovation
• Smart Transport Systems
• +7 more

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.

• Quality-of-Experience
• Virtual Reality
• Multimedia Systems
• +2 more

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.

Aphra KerrView profile

Adjunct Professor

• AI Governance and Ethics
• Digital Media and Technology Design
• Gambling Industry Regulation
• +4 more

Professor Aphra Kerr is an Adjunct Professor in the Department of Sociology at Maynooth University, transitioning to a full-time role as Professor of Information and Communication Studies at University College Dublin in August 2024. She leads research in AI governance, digital media ethics, and gambling industry impacts through her role in the SFI ADAPT Centre. Key projects include the Global Media and Internet Concentration Project (GMICP) and Algowatch, focusing on algorithmic literacy. Her work bridges social science with technology, emphasizing interdisciplinary collaboration. Education: PhD in Digital Media (DCU, 2000), postdoctoral fellowships at UNU/INTECH and University of Ulster. Extensive research on digital games, media policy, and media literacy. Research interests span AI ethics, digital game production, gambling regulation, media labor, gender equity in tech, and public engagement. Awards include the Distinguished Scholar Award from DiGRA and membership in the Academy of Europe. Collaborations span academia, industry, and civic organizations like ADAPT and Foroige. Recent articles address gambling marketing's societal impacts, smart city planning via digital twins, and trust in human-robot interaction. She advises on policy initiatives and chairs international research associations.