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Dr. Brian Ó Raghallaigh is an Assistant Professor in Fiontar & Scoil na Gaeilge at Dublin City University (DCU). He holds a BA (Mod.) in computational linguistics and a PhD in speech technology from Trinity College Dublin. His research focuses on digital terminology, onomastics, folkloristics, phonetics, and language technology. He is Co-Principal Investigator of the AHRC-IRC 'Decoding Hidden Heritages' project (2021–2024) and Principal Investigator of the Department of the Gaeltacht-funded 'Logainm Placenames Database of Ireland' project. Education: BA (Mod.) in Computational Linguistics (Trinity College Dublin), PhD in Speech Technology (Trinity College Dublin) Roles: Technology Manager of the Gaois research group, Module Coordinator for Irish Linguistics (LIG1004), Co-coordinator for Corpus Research (LIG1010) Publications: Authored Fuaimeanna na Gaeilge , creator of fuaimeanna.ie , and co-editor of Decoding the Oral Traditions of Scotland and Ireland . His research interests span terminology, placename studies, digital humanities, and language preservation. He leads projects like Terminologue (a cloud-based terminology platform) and collaborates on initiatives such as the EU-GA terminology project. He is active in professional organizations like SNSBI, SIEF, and CIGILT. Grants & Projects: Funded by AHRC/IRC, Department of the Gaeltacht, RIA. Key projects include Logainm.ie , Gaois surname database , and Historical Dictionary of Modern Irish . Labs/Teams: Gaois research group (focused on language technology), Terminologue (terminology management), and collaborations with the Digital Repository of Ireland (DRI).

• Digital Terminology
• Onomastics
• Folkloristics
• +6 more

Dr. Damien Dupré is an Assistant Professor of Business Research Methods at Dublin City University's Business School. He holds a Ph.D. in Social and Experimental Psychology from Université Grenoble-Alpes, France. His research focuses on psycho-physiological responses in real-world settings, particularly through the analysis of facial expressions and wearable device data. He co-developed the DynEmo database for dynamic facial emotion analysis and collaborated with institutions like Queen’s University, Sensum Ltd, and UCD’s Insight Centre. His expertise includes multivariate time series analysis for machine learning applications in emotion recognition and human-computer interaction. Education: Ph.D. in Social and Experimental Psychology (Université Grenoble-Alpes), postdoctoral work involving physiological measurements of marathon runners. Key collaborations include projects with Sensum Ltd (emotion sensors), Queen’s University (facial expression analysis), and Ixiade (emotional UX evaluation). Research interests span emotion statistics, wearable devices, and physiological computing. Recent work emphasizes automatic facial expression recognition systems and their validation through dynamic datasets. His publications address challenges in emotion detection accuracy across commercial classifiers and the impact of facial interface designs on emotional perception. Teaching responsibilities include Data Analytics for Business, Quantitative Research Methods, and Strategic Consultancy modules. He leads the DCU R Stats Club and actively contributes to open-source tools for data science education. Current projects include the Motoklik–AI-PoC initiative as DCU PI. Professional engagement includes Mastodon activity promoting RStats pedagogy and GitHub repositories showcasing code for emotion analysis (e.g., machine_challenge repo). His work bridges psychological theory, technological innovation, and business analytics applications.

• Emotion Recognition
• Facial Expressions
• Wearable Devices
• +3 more

Dr. Abdulaleem Albadawi is an Assistant Lecturer at the Department of Engineering Technology, School of Engineering, South East Technological University, Waterford. He holds a PhD from Dublin City University (2014), an M.Sc. from Trinity College Dublin, and a Double Diploma in Engineering from INSA Lyon. With 10 years of industrial experience in hydraulic design of turbomachinery equipment, he has contributed to patented hydraulic solutions. His research focuses on numerical and experimental studies of fluid systems, particularly multiphase flows and fluid-structure interaction. Dr. Albadawi specializes in hydraulic design optimization for improved energy efficiency and reduced carbon emissions. He has developed in-house numerical models (VOF, LS, CLSVOF) using both commercial (ANSYS) and open-source (OpenFOAM) software, and has designed experimental flow rigs with advanced measurement systems including Particle Image Velocimetry.

• Fluid Dynamics
• Multiphase Flows
• Fluid-Structure Interaction
• +3 more

Yuansong (John) Qiao is a Research Fellow at the Software Research Institute (SRI), Technological University of the Shannon: Midlands Midwest. His work spans cybersecurity, blockchain, and reinforcement learning, contributing to technologies like decentralized edge environments, intrusion detection systems, and immersive 360° video analytics. He supervises PhD students and actively explores applications in robotics, digital twins, and IoT. Recent publications highlight his focus on multi-view deep learning for anomaly detection , blockchain integration with AI , and ROS-based reinforcement learning . These works address challenges in cyber threat identification, decentralized finance, and smart manufacturing. His methodological innovations include knowledge graphs for security analytics and spatial audio analysis for VR environments. Qiao’s research aligns with UN Sustainable Development Goals, particularly in Quality Education (through supervised student projects) and Industry Innovation (via tools like Containerchain and UniROS). His collaborations span cybersecurity frameworks, decentralized robotics, and privacy-preserving systems for smart cities.

• Cybersecurity
• Deep Learning
• Blockchain
• +7 more

Aedin Culhane is a Professor of Biomedical Sciences (Cancer Genomics) at the University of Limerick School of Medicine. She leads the Limerick Digital Cancer Research Centre and co-leads the all-island eHealth-Hub for Cancer. Her expertise spans computational oncology, multi-omics data integration, and clinical bioinformatics, with over 20 years of experience in cancer genomics, including roles at the Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health in Boston, USA. Education: PhD in Cloning and Characterisation of Interleukin-18 in rat brain, University of Manchester Research Interests: Cancer computational genomics, digital health, single-cell genomics, spatial biology, tumor microenvironment, immune-oncology, and open science initiatives like Bioconductor and OHDSI. She focuses on algorithm development for integrative multi-omics data analysis and translational oncology, including tumor drug resistance mechanisms and CAR-T cell therapies. Recent Article Trends: Her work emphasizes spatial profiling of cancer microenvironments, CAR-T cell engineering, and genomic minimal datasets for precision oncology. Key themes include immune response modulation, Myc activity regulation in treatment persistence, and CRISPR-based functional genomics. Awards: Young European Research Universities Network (YERUN) Open Science Award (2023) Bioconductor Community Award (2021) Grants & Collaborations: Leads the €730,000 Chan Zuckerberg Initiative-funded eHealth-Hub for Cancer. Active in the 1+ Million Genomes Program and Genomic Data Infrastructure (GDI) projects. Collaborates internationally in spatial profiling and multi-omics integration through hackathons and open-source initiatives. Labs & Teams: Directs the Limerick Digital Cancer Research Centre, a hub for AI-driven cancer research and translational genomics. Engages with global networks like the Human Cell Atlas and National Spatial Profiling Platform.

• Cancer Genomics
• Bioinformatics
• Single Cell Biology
• +8 more

Giuseppe Torre is an Associate Professor at the University of Limerick's Department of Computer Science & Information Systems and a member of the Digital Media and Arts Research Centre. His work bridges digital art, philosophy, and technology, focusing on critical inquiry into the ethical and ontological dimensions of digital creativity. He advocates for Free/Libre Open-Source Software (FLOSS) as a methodology resisting technological commodification. Education: PhD in Digital Performance Arts (2013) MSc in Music Technology (2006) Laurea (MPhil) in Arts, Music & Spectacle (2003) Diploma in Classical Guitar (2002) Research Interests: Torre explores artistic practices that merge code, sound, and performance with philosophical traditions like phenomenology and media theory. Notable projects include Incidental Effects (2024), an EP emphasizing live coding and minimalism, and The ‘No’ core-(f)utility , critiquing computational affirmation. His book An Ethico-Phenomenology of Digital Art Practices (2021) interrogates the experiential ethics of digital creation. Awards: Ambassador Award (2020) CSIS Lecturing Excellence Award (2023) Advising & Grants: Torre is actively mentoring PhD students and has organized interdisciplinary events like the Digital Worlds Workshop (2025). His research often intersects with grants supporting FLOSS development and critical digital art. Labs & Collaborations: Engaged with the Digital Media and Arts Research Centre, Torre collaborates internationally on projects blending art, technology, and philosophy. Recent activities include invited talks on 'We Have Never Been Digital' (2025) and panels on phenomenology and digital arts (2024).

• Digital Art
• Artistic Research
• Sound and Performance
• +9 more

Dr Frank Slyne serves as a Research Fellow at the CONNECT Centre within Trinity College Dublin, specializing in next-generation telecommunications infrastructure with expertise spanning optical-wireless convergence, network virtualization, and resource optimization. His academic credentials include: B.E. in Electrical Engineering from University College Cork (1988) M.Eng in Electronic Engineering from Dublin City University (1994) With over two decades of industry experience as an engineering manager at Eircom overseeing ISP platforms, Dr Slyne transitioned to academia in 2012 to join Prof. Marco Ruffini's Optical Network Architecture research group. His current work focuses on optimizing Quality of Service in multi-tenant TDM-PON environments through novel scheduler implementations using Xilinx FPGA, Intel DPDK, and open-source frameworks like ONF SEBA R-CORD and OAI software radio stacks. This research directly addresses critical challenges in network disaggregation, legacy function modernization, and dynamic resource pooling for 5G/6G metro-access networks. As a core contributor to Trinity College Dublin's Optical Network Architecture group, Dr Slyne drives experimental validation of converged network architectures through simulation, virtualization, and hardware prototyping initiatives targeting dependable telecommunications infrastructure.

• Optical Networking
• Wireless Communications
• Software Defined Networking (SDN)
• +5 more

Dr. Owen Naughton is a Lecturer in Environmental Engineering at South East Technological University (SETU Carlow). He holds a PhD in hydrology from Trinity College Dublin and has held research fellowships and academic roles at institutions like Trinity College and the National University of Galway. His research focuses on hydrology, ecosystem processes, and the implementation of EU environmental directives. He specializes in groundwater flooding, remote sensing, and peatland restoration. Current roles include an SFI Public Service Fellowship with the National Parks and Wildlife Service Ireland (2024–2026). Education: PhD in Hydrology and Ecohydrology of Turloughs, Trinity College Dublin (2006–2011) Bachelor’s Degree in Civil, Structural, and Environmental Engineering, Trinity College Dublin (2002–2006) Research Interests: Transdisciplinary studies in hydrology, ecosystem research, groundwater flooding dynamics, remote sensing applications, and climate change impacts on water resources. Key areas include karst wetlands (turloughs), peatland restoration, and EU environmental policy compliance. Notable Contributions: Developed the UISCEmod open-source software for karst wetland modeling Advanced flood risk mapping using Sentinel-1 and Sentinel-2 satellite imagery Contributed to Ireland’s groundwater flood hazard assessment frameworks Awards & Grants: EPA funding for sustainability projects (2024) SFI Public Service Fellowship (2024–2026) EPA STRIVE Research Fellowship (2014–2015) IRC Enterprise Research Fellowship (2010–2013) Lab/Teams: Engaged in interdisciplinary teams addressing environmental challenges through modeling, remote sensing, and field observation. Collaborates with organizations like the National Parks and Wildlife Service and Trinity College Dublin.

• Environmental Engineering
• Hydrology
• Ecosystem Research
• +5 more

John Healy is a Senior Lecturer in Software Development at the Department of Computer Science & Applied Physics, National University of Ireland, Galway. He also serves as Principal Investigator at the Medical and Engineering Technologies Gateway (MET). His research focuses on computational biology and bioinformatics with a particular emphasis on antimicrobial peptide discovery from marine macroalgae and development of advanced genome analysis tools. Education details: Not explicitly stated in the provided text. Research interests span antimicrobial peptides, machine learning applications in biomarker discovery, fuzzy string matching algorithms for genomic analysis, and computational methods for genome assembly. He has pioneered tools like FLAK for ultra-fast genome alignment and developed ensemble learning approaches for peptide classification. His work contributes to UN Sustainable Development Goals related to health and innovation. Key research trends in his publications include: Advancing machine learning techniques for predicting antimicrobial properties Optimizing genome comparison methods using fuzzy hashing and k-mer analysis Interdisciplinary applications combining software engineering with biological problems Awards: None explicitly mentioned in the provided information. Advising & Grants: Collaborations with researchers like Dr. Caprani, Dr. O'Keeffe, and Dr. Slattery are evident through co-authorship. No specific grant details provided. Labs/Teams: Active within the Medical and Engineering Technologies Gateway (MET) fostering cross-disciplinary innovation.

• Bioinformatics
• Computational Biology
• Antimicrobial Research
• +3 more

Dr. Abdul Razzaq is an Assistant Professor in the Department of Computer Science & Information Systems at the University of Limerick, affiliated with Lero – the Irish Software Research Centre. His research focuses on AI-driven software engineering, developer experience, empirical software analytics, and cloud computing, aiming to enhance developer productivity and bridge academic-industry gaps. He holds a PhD in Software Engineering from Lero, with prior degrees in Computer Science. His work has yielded 432 citations and led to industry-adopted tools like JITTAC licensed by Huawei. Education: PhD (2019, Lero), MSc & BSc in Computer Science. Research interests include AI applications in code parsing/refactoring, developer context modeling, and tool standardization. He actively supervises PhD/MSc students in AI, NLP, and software engineering, emphasizing research scaffolding and guided autonomy. Publications appear in ACM TOSEM, IEEE TSE, and EMSE. Industry collaborations include Huawei, ACI Worldwide, and GLOCC Group. He contributes to education through UDL principles in curriculum design and led QQI revalidation for Data Analytics programs. Engagements include COVIGILANT project and AI policy discussions. Member of ACM & IEEE, with reviewing roles at IEEE TSE and Wiley JSEP.

• AI-driven Software Engineering
• Developer Experience
• Software Metrics and Evaluation
• +7 more

Dr. Shayan Kabiri is a Post Doc Research Fellow Lvl I at the School of Biosystems and Food Engineering, University College Dublin. His research focuses on advancing analytical techniques in soil science, geochemistry, and hyperspectral imaging. He holds a PhD in Biosystems and Food Engineering from University College Dublin, an MSc in Animal Biology from the University of Tehran, and a BSc in Chemical Engineering from Sharif University of Technology. PhD: University College Dublin (Biosystems and Food Engineering) MSc: University of Tehran (Animal Biology) BSc: Sharif University of Technology (Chemical Engineering) His work integrates machine learning, hyperspectral imaging, and X-ray fluorescence (XRF) technologies for high-resolution soil analysis. Recent studies include evaluating model generalization for soil organic carbon prediction at finer resolutions and developing calibration methods for XRF core scanning. He also created HyperGUI, an open-source web tool for hyperspectral data analysis. Research trends emphasize bridging laboratory-scale precision with field applications, leveraging AI-driven models and novel calibration techniques. Collaborations include co-authors from UCD and institutions in Ireland.

• Environmental Science
• Soil Science
• Geochemistry
• +3 more

Dr. Adrian O'Hagan is a Lecturer in Statistics and Actuarial Science at University College Dublin (UCD) School of Mathematics and Statistics, with a focus on machine learning and statistical modeling. He completed his PhD in Statistics at UCD in 2012 and holds an MSc in Statistics from UCD (2006). As a funded investigator at the Insight Centre, his work bridges computational statistics with practical applications in insurance, healthcare, and manufacturing. Education: PhD Statistics, UCD (2012) MSc Statistics, UCD (2006) Bachelor of Actuarial and Financial Studies, UCD Research Interests span machine learning, Bayesian inference, network analysis, and actuarial science. His recent work includes: Developing probabilistic models for network analysis and EHR-based phenotyping Advancing clustering algorithms with uncertainty quantification and optimization Applying statistical methods to insurance risk, manufacturing analytics, and data compression Publications highlight his expertise in variational Bayes, Gaussian mixtures, and multivariate claim modeling, with interdisciplinary impacts in healthcare and finance. He collaborates on real-world data analysis and contributes to open-source actuarial tools like mvClaim .

• Machine Learning
• Statistics
• Actuarial Science
• +3 more

Eric Wolsztynski is a Senior Lecturer in Statistics at the School of Mathematical Sciences , University College Cork (UCC), and a Funded Investigator with the SFI Insight Centre for Data Analytics . He serves as Head of Discipline (Statistics) at UCC. Affiliation : School of Mathematical Sciences, UCC Email : e.wolsztynski@ucc.ie, eric.w@ucc.ie Research Interests focus on statistical and machine learning methods for healthcare, particularly multi-omics and radiomics in oncology, fairness in ML for insurance, and renewable energy data analysis. His work emphasizes predictive modeling, 3D spatial analysis of PET imaging, and development of non-invasive biomarkers for tumor characterization. Recent Publications (2025-2011) span Annals of Intensive Care , PLOS ONE , and IEEE Transactions , with themes in tumor heterogeneity, mRNA-based prognosis, and offshore wind energy perception. Articles highlight integration of structural and textural PET data, fairness in insurance modeling, and clinical collaborations in Ireland and the USA. Teaching & Supervision : Supervised 4 PhD students and 40+ MSc projects, including work on feature selection in sarcoma, PET imaging analysis, vessel speed clustering, and late-life mortality modeling. Software Development : Created R packages mia (Medical Imaging Analysis) and volumetrics (3D Uptake Modeling), available via GitHub.

• Statistical Learning
• Machine Learning
• Computational Statistics
• +3 more

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).

• Agent-Based Modeling
• Multi-Agent Systems
• Computer Science Education
• +4 more

Donal Finn is a Professor at the School of Mechanical and Materials Engineering, University College Dublin. His research focuses on energy systems optimization, building energy efficiency, and thermal management. He holds a PhD from Trinity College Dublin and has held academic positions since 1995, progressing from Lecturer to Professor in 2021. His work includes pioneering studies on heat pumps, refrigeration systems, and energy flexibility in buildings. Education: B.E. in Mechanical Engineering, NUI Galway (1985) MEngSc, NUI Galway (1987) PhD, Trinity College Dublin (1996) Research Interests: Analysis and optimization of energy conversion systems, heat pumps, refrigeration systems, evaporative cooling, and natural ventilation in building applications. Current projects emphasize energy flexibility, district heating networks, and sustainable building technologies. Awards: Royal Academy of Engineering Teaching Fellowship (1995) UCD Research Fellowship (2004) ASHRAE Best Paper Award (2017) Institute of Refrigeration Ted Perry Award (2012) Grants: Lead researcher in projects like the Sustainable Electrical Energy Systems SRC (2010–2017). Collaborates with EU initiatives such as IEA Annex 82 on energy flexible buildings. Teaching: Coordinates modules in Heat Transfer, Thermodynamics, and Measurement & Instrumentation. Supervises engineering projects at both undergraduate and postgraduate levels. Labs/Teams: Active in the UCD Energy Institute, leading research on building energy systems and smart grids. Member of IBPSA-Ireland and contributor to international energy standards.

• Energy Systems
• Building Energy
• Heat Pumps
• +7 more