جست‌وجوی استاد و پژوهشگر

Aoife Hegartyمشاهده پروفایل

پژوهشگر

• Ocean Engineering
• Robotics
• Satellite Communications
• +۳ مورد دیگر

Dr. Aoife Hegarty serves as a PostDoc Researcher at the Precision Engineering Materials and Manufacturing (PEM Technology Gateway) within Atlantic Technological University Sligo, focusing on advanced marine robotics and communication systems for ocean observation. Her work bridges engineering disciplines to solve practical challenges in remote marine operations. Her research integrates Ocean Engineering , Robotics , and Satellite Communications to develop innovative solutions including ROV control systems using GEO/LEO satellite networks, cabled seabed observatories with buoyed platforms, and solar-powered IoT monitoring systems. She specializes in hardware-software co-design for marine environments, emphasizing cost-effective and energy-efficient implementations for real-world deployment. Analysis of her publications reveals a consistent trajectory toward enhancing remote operational capabilities in marine settings through satellite and IoT technologies. Her work demonstrates increasing sophistication in integrating communication systems with physical marine platforms, with notable emphasis on practical validation in ocean environments since 2017. Affiliated with ATU Sligo's PEM Technology Gateway, Dr. Hegarty collaborates extensively with researchers including Omerdic, Toal, and Dooly across multiple projects. Her research directly supports Ireland's marine technology sector through applied engineering solutions for ocean observation and resource monitoring.

• Computer Science
• Data Security
• Internet of Things (IoT)
• +۵ مورد دیگر

Eoghan Furey is a Lecturer in Computing at the Department of Computing, Atlantic Technological University. His research focuses on data security, IoT systems, robotics, and machine learning applications in structural health monitoring and environmental science. He contributes to UN Sustainable Development Goals related to industry innovation and responsible consumption. His research explores topics such as General Data Protection Regulation (GDPR) compliance, human-robot collaboration, and real-time environmental monitoring using AI-driven systems. Recent work includes developing algorithms for pollution detection in rivers and neural network-based anomaly classification in infrastructure. Collaborations span robotics sensor integration and medical AI applications like diabetes management systems. His publications reflect a multidisciplinary approach bridging computer science with engineering and environmental challenges.

• Agent-Based Modeling
• Multi-Agent Systems
• Computer Science Education
• +۴ مورد دیگر

Seán Russell is an Assistant Professor in Computer Science at University College Dublin (UCD), affiliated with the School of Computer Science. He holds a BSc and PhD from UCD, as well as a Professional Diploma in University Teaching and Learning. His research spans agent-based simulation systems, multi-agent architectures, and computer science education. Notable contributions include work on hypermedia MAS, microservices for scalable simulations, and pedagogical strategies for non-native English speakers in CS1 courses. Education: BSc in Computer Science, University College Dublin PhD in Computer Science (details unspecified) Professional Diploma in University Teaching and Learning, University College Dublin Research Interests: Russell focuses on agent-oriented programming, distributed systems (microservices/REST), and innovative teaching methodologies. His work bridges theoretical agent architectures with practical applications like traffic simulation and waste management. Recent education-focused research addresses code quality in CS1, error message comprehension, and linguistic barriers for non-native English students. Grants & Awards: UCD College of Science Teaching Excellence Award (2022) OPTI-ROUTE Grant (2017–2018) Teaching & Learning Award (2021/2022) Teaching & Leadership: Coordinates modules in programming fundamentals (e.g., Intro to Programming 1, Object-Oriented Design) and serves as Vice Chair of the Ireland ACM SIGCSE Chapter. Supervised a PhD student (2019–2024).

• Computational Creativity
• Artificial Intelligence
• Natural Language Processing
• +۳ مورد دیگر

Associate Professor Tony Veale is affiliated with the School of Computer Science at University College Dublin (UCD). He holds a B.Sc. (1988) and M.Sc. (1990) from University College Cork and a Ph.D. (1996) from Trinity College Dublin. His career spans academia and industry roles at Hitachi Dublin Laboratory, Cycorp, Coreintellect, and Intelliseek, where he contributed to projects like the CYC knowledge base and patented question-answering systems. Veale authored Exploding The Creativity Myth (2012) and co-founded the Association for Computational Creativity (ACC), hosting its 2012 conference. His research focuses on computational creativity, analogical reasoning, metaphor, and irony, with applications in robotics, storytelling, and natural language processing. Key achievements include developing frameworks for embodied storytelling and irony detection in social media. He has received the Best Paper Award at the 2017 International Conference on Computational Creativity (ICCC) and has contributed to initiatives like UCD’s Software Engineering program in Shanghai. Teaching interests include generative AI, computational creativity, and knowledge-based techniques. Veale’s work bridges cognitive science and AI, emphasizing creative language use through autonomous systems like Twitterbots. His research spans interdisciplinary collaborations, including work at KAIST (2011–2014) under the Korean WCU program.

• Supply Chain Management
• Operations Research
• Engineering Education
• +۷ مورد دیگر

Dr. Vincent Hargaden is an Associate Professor and Head of School at the School of Mechanical and Materials Engineering, University College Dublin. He holds a PhD in Decision Science from Rensselaer Polytechnic Institute and has over two decades of academic and industry experience. His research focuses on three core areas: Workforce Planning in professional services, Design and Optimization of resilient supply chains, and innovations in Engineering Education. He leads the UCD Master of Engineering Management program and has received multiple teaching awards including the 2017 University Teaching Excellence Award. Education: BE (Mechanical Engineering), University College Dublin MEngSc (Computer Integrated Manufacturing), NUI Galway MBA, UCD Michael Smurfit Graduate Business School PhD (Decision Science), Rensselaer Polytechnic Institute Professional Diploma in University Teaching & Learning, UCD Research Interests: Supply Chain Resilience & Risk Assessment Blockchain Applications in Construction & Engineering Digital Twin Technologies for Manufacturing Industry 4.0 Integration in Agri-Food Sectors Active Learning Pedagogies in Engineering Education Notable Achievements: Co-Principal Investigator in Enterprise Ireland Dairy Processing Technology Centre H2020 VALUMICS Project (Food Value Chain Dynamics) IBM Global PhD Fellowship (2010) UCD Learning Factory Initiative Participation

Javad Zeinaliمشاهده پروفایل

استادیار

• AI in advanced manufacturing
• Predictive data analytics
• Computational Fluid Dynamics (CFD)
• +۵ مورد دیگر

Dr. Javad Zeinali is an Assistant Professor of Digital Manufacturing at the University College Dublin (UCD), School of Mechanical and Materials Engineering. He serves as Programme Director for Digital Manufacturing at UCD's Advance Centre and leads the Laboratory for Advanced Manufacturing Simulation and Robotics (LAMS). His academic career includes roles at the University of Limerick as Lecturer and Research Fellow before joining UCD in 2023. Dr. Zeinali holds a PhD (2015) and MEng (2012) from Universiti Teknologi Malaysia (UTM), with postdoctoral training at Kyushu University (Japan). He has industry experience as Technical Manager at RS Co., Iran. Professional certifications include the U21 Mid-Career Researcher Programme and Universal Design in Teaching & Learning. Research Focus: His work integrates AI, predictive analytics, and CFD with advanced manufacturing. Key areas include digital twins, magneto-rheological devices, and AR/VR solutions for sustainable manufacturing. He leads projects like RTForm (robotic toolkits), ARIOS (AR operator support), and VRSafe (VR workplace safety training). Awards & Grants: Recipient of Bronze Medal (MTE 2014), Merit Thesis Award (2015), and Gold Medal (UTEMEX 2013). Active in EU funding, he coordinates grants including the €2.5M ARIOS project and leads initiatives at SSPC and DPTC dairy technology centers. Teaching: Teaches Industrial Data Analytics, Engineering Project Management, and Automation modules. Uses active learning and technology-enhanced methods. Coordinates courses like Industrial Data Analytics and Engineering Project Management at UCD. Collaborations: Serves on EU-NESA Agri-Food Sector Network and co-leads international projects. Supports Chinese PhD candidates via UCD-CSC funding schemes. Open to collaborations in AI-driven manufacturing and predictive analytics.

• Cell-Extracellular Matrix Mechanobiology
• Biomimetic Scaffolds
• Regenerative Medicine
• +۵ مورد دیگر

Dr. Seungkuk Ahn is an Associate Professor at University College Dublin's School of Medicine, specializing in cutaneous biology and biomaterials. He leads The Ahn Group , focusing on cell-extracellular matrix mechanobiology and regenerative medicine. His research integrates tissue engineering, biomaterials science, and cell signaling to design functional biomimetic scaffolds for skin repair and in vitro models. Education : BSc/MSc (Sogang University, Seoul), MSc/PhD (Harvard University, USA). Postdoctoral training at ETH Zurich (2019-2024). Research Themes : Biomimetic matrices, fibronectin engineering, integrin signaling in skin regeneration, retinal gene therapy delivery via magnetic nanoparticles. Active in translational applications like wound dressings and cardiac toxicity models. Grants : Recipient of City of Dublin Skin Charity grants (2025-2029), Enterprise Ireland funding, and UCD OBRSS support. Oversees projects on mechanotransduction and species-specific integrin studies. Labs & Teams : Coordinates interdisciplinary efforts spanning biomaterials fabrication, cell biology assays, and preclinical testing. Collaborates across dermatology, nanotechnology, and robotics fields.

David Henshallمشاهده پروفایل

استاد

• Epilepsy
• Neuropharmacology
• MicroRNA research
• +۳ مورد دیگر

Professor David Henshall is a leading academic in neurology and molecular physiology at the Royal College of Surgeons in Ireland (RCSI). He holds the position of Professor of Molecular Physiology & Neuroscience and serves as Director of FutureNeuro, a Science Foundation Ireland Research Centre focused on neurological diseases. His research focuses on epilepsy mechanisms, neuroprotection pathways, and microRNA therapeutics. Henshall earned a BSc (First Class Honours in Pharmacology) from the University of Bristol and a PhD in Neuropharmacology from the University of Edinburgh. He has authored over 250 publications and co-authored Fine-Tuning Life: A guide to microRNAs (Cambridge University Press, 2024). Research Interests : - Epilepsy mechanisms and treatment development - Role of non-coding RNAs (microRNAs) in neurological disorders - ATP-gated ion channels as therapeutic targets - Circulating biomarkers of seizures and epilepsy progression Awards & Recognition : - Member of the Royal Irish Academy (2024) - Robert Bentley Todd Medal for Teaching and Research in Neuroscience (2014) - Principal Investigator Award (2008, 2004) Grants & Leadership : - Director, FutureNeuro SFI Research Centre (2017–present) - Coordinator, European FP7 project EpimiRNA (2013–2018) - Chair, International League Against Epilepsy’s Neurobiology Commission Lab & Collaborations : - FutureNeuro integrates multidisciplinary teams across RCSI, Trinity College Dublin, and other institutions to advance translational neuroscience. - Active collaborations in drug development, biomarker discovery, and AI-driven e-textile technologies for neurological monitoring.

Ned Tobinمشاهده پروفایل

مدرس

• Erosion of materials by liquid impact
• Rain erosion mitigation
• UAV-based inspection and defect detection
• +۵ مورد دیگر

Ned Tobin is a Lecturer in the Department of Aerospace and Mechanical Engineering at South East Technological University, within the Faculty of Engineering. He teaches at undergraduate and postgraduate levels and supervises research students at Masters and PhD levels. His work contributes to UN Sustainable Development Goals related to affordable and clean energy and industry innovation. Education: BEng in Aeronautical Engineering, University of Limerick (2005) PhD in Engineering (Evaluation and Correlation of Rain-eroded Aircraft Coatings Using Surface Topography), University of Limerick (2015) Research focuses on erosion mechanics, materials durability, and UAV-based inspection technologies. Key projects include mitigating erosion damage on wind turbine blades and developing sol-gel coatings for fouling prevention. Recent work emphasizes droplet impact analysis and deep learning for aircraft defect detection. Awards : SETU Research Excellence Awards Nominee: Supervisor Award (2022, 2023) Advising and grants: Active in supervising student research and leading the SOLOblade project (2024–2027) focused on nanomaterials for wind energy systems. Collaborates on interdisciplinary projects combining fluid dynamics, materials science, and aerospace engineering. Labs/Teams: Involved in the Department’s wind energy and advanced materials research groups, contributing to test facilities for erosion testing and UAV-based inspection systems.

Noel O'Dowdمشاهده پروفایل

استاد

• Computational Mechanics
• Fracture Mechanics
• Materials Behaviour
• +۴ مورد دیگر

Noel O'Dowd is a Professor at the University of Limerick, holding dual affiliations with the Bernal Institute and the School of Engineering. His research focuses on Computational Mechanics, Fracture Mechanics, Materials Behaviour, and Structural Integrity, with a particular emphasis on composite materials, metallic alloys, and advanced manufacturing processes. He has contributed extensively to understanding material behavior under extreme conditions, including thermal aging, mechanical fatigue, and microstructural evolution. Prof. O'Dowd’s expertise spans experimental and computational methods, including finite element analysis (FEA), machine learning for material modeling, and in-situ microscopy techniques. His work addresses challenges in aerospace, energy, and biomedical engineering sectors, aligning with UN Sustainable Development Goals related to infrastructure and industry innovation. Recent research trends include optimizing manufacturing processes via neural networks, analyzing interfacial properties of bio-based composites, and investigating phase transformations in high-performance steels. He collaborates internationally, with studies often involving advanced materials characterization and multiscale modeling. Prof. O'Dowd has authored over 210 publications and serves on editorial boards of materials science journals. His lab, affiliated with the Bernal Institute, focuses on bridging computational and experimental approaches to advance structural integrity and material innovation.

Christophe Silienمشاهده پروفایل

استاد

• Material Science
• Nanotechnology
• Optics
• +۵ مورد دیگر

Christophe Silien is a Professor at the University of Limerick (UL), holding positions in the Bernal Institute and the Department of Physics. His research focuses on material science, nanotechnology, and biomedical engineering, with a strong emphasis on piezoelectric materials, nanorod assemblies, and bioelectrets. He leads interdisciplinary projects involving plasmonics, optoelectronics, and biomaterials. Key research areas include the development of light-emitting diodes, nanoscale material characterization via advanced microscopy techniques, and applications in biomedical devices. Silien collaborates widely, with contributions to topics like quantum dot biosensors, thermal imaging of defects, and plasmonic nanoparticle systems. His work intersects physics, engineering, and biology, addressing challenges in energy, healthcare, and advanced manufacturing. Notable projects include the study of piezoelectric effects in proteins and intervertebral discs, electrophoretic deposition of nanorod layers, and the design of hollow needle insertion models for medical applications. Silien’s research has produced over 118 publications, emphasizing experimental and computational approaches to material innovation.

• Sustainable Energy
• Wireless Sensor Networks
• Pharmaceutical Water Systems
• +۴ مورد دیگر

Prof Brian Corcoran is the Head of the School of Mechanical & Manufacturing Engineering at Dublin City University (DCU). He holds the academic rank of Professor and has served as Associate Dean of Education (2014–2017), leading academic excellence in undergraduate and postgraduate programs. A Chartered Engineer, he is affiliated with the Institute of Engineers of Ireland, IMechE, and other professional bodies. His research focuses on Sustainable Energy, Wireless Sensor Networks, Pharmaceutical Water Systems, Lab-on-a-Chip Technology, and the Energy-Water Nexus. He leads the Energy Systems Integration Project (ESIPP), a major multi-institutional initiative. Prof Corcoran has authored over 50 peer-reviewed publications and holds the President’s Award for Teaching and Learning (2017), recognizing his innovative pedagogy and student-centric approach. Education: PhD in Engineering (2003), Dublin City University MSc in Fouling of Plate Heat Exchangers (Dublin City University) BEng in Mechanical Engineering (DIT Bolton Street) Performers Diploma in Pianoforte (College of Music London) Research Interests: Prof Corcoran’s work spans sustainable water systems for developing nations, energy systems integration, and advanced sensor technologies. He collaborates internationally on projects like the ‘Water is Life’ initiative and leads the DCU Water Institute. His engineering group supports major projects such as ESIPP and CLARITY, fostering industrial and academic networks. Teaching & Outreach: He champions CDIO (Conceive-Design-Implement-Operate) methodologies and oversees outreach programs like the Siemens Greenpower Challenge. His teaching philosophy emphasizes student diversity and has been nationally recognized. Awards: President’s Award for Teaching and Learning Final Year IMechE Project Awards Grants & Labs: Recipient of a teaching grant (€12,700) and collaborates with industry partners through ESIPP and Irish Aid. His lab develops technologies for wastewater treatment optimization and sustainable systems.

Mark Humphrysمشاهده پروفایل

استادیار

• Artificial Intelligence
• Reinforcement Learning
• JavaScript Programming
• +۳ مورد دیگر

Dr. Mark Humphrys is an Assistant Professor at Dublin City University's School of Computing within the Faculty of Engineering and Computing. He holds a BSc in Mathematics and Computer Science from University College Dublin, a PhD in Computer Science from the University of Cambridge, and completed postdoctoral work at the University of Edinburgh. His research spans Artificial Intelligence, Reinforcement Learning, JavaScript-based educational platforms, and multi-agent systems. His research focuses on: Action selection methods in autonomous agents Reinforcement learning architectures JavaScript-based AI education platforms (Ancient Brain) Multi-author hybrid AI systems Turing Test implementations Urban mobility and transportation modeling Analysis of his recent publications reveals strong emphasis on: Educational technology innovations using JavaScript frameworks Financial market impacts on labor economics Distributed AI system architectures Urban transportation solutions and predictive modeling Human-computer interaction paradigms He has supervised 4 PhD students to completion and maintains the Ancient Brain coding platform hosting over 11,000 user projects. His work has received 686 citations with an h-index of 11. Dr. Humphrys leads several projects including Ancient Brain (JavaScript coding education), World-Wide-Mind (distributed AI research), and maintains research groups exploring multi-agent systems and transportation analytics.

• Digital Media in Education
• Collaborative Technologies
• Entrepreneurship Education
• +۲ مورد دیگر

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 Nikolovمشاهده پروفایل

دانشیار

• Machine Learning
• Natural Language Processing
• Graph Drawing
• +۵ مورد دیگر

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.