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Ultan ShermanView profile

Senior Lecturer

• Work Psychology
• Psychological Contract
• Human Resource Management
• +3 more

Dr. Ultan Sherman is a Senior Lecturer in Human Resource Management & Organisational Behaviour at the Cork University Business School , University College Cork. He serves as Programme Director for the MSc in Human Resource Management and teaches across BComm, MSc HRM, MA WOP, and MBA programmes. His research explores the intersection of work psychology psychological contract theory gig economy dynamics human resource management with publications in leading journals like Human Resource Management Journal and European Journal of Work & Organizational Psychology. Notable awards include the 2020 HRMJ Best Paper Award 2015 Journal's Outstanding Paper Award for his contributions to employment relations research. He holds a PhD in Work Psychology (University of Limerick, 2012) and has previously held roles at Maynooth University (Lecturer in Management, 2012-2014) and Dublin City University (Post-Doctoral Researcher, 2012).

• Soil Science
• Climate Change Mitigation
• Environmental Protection
• +5 more

Dr. Sharon O'Rourke is an Assistant Professor and Ad Astra Fellow at the University College Dublin (UCD) School of Biosystems and Food Engineering since 2019. Previously, she held roles at the University of Sydney and UCD's School of Agriculture and Food Science, focusing on soil science and environmental protection. She holds a BAgrSc from UCD and a PhD in Soil Nutrient Management from Queen's University Belfast. Research Interests: Her work centers on sustainable soil management, soil carbon sequestration, and environmental protection. She employs spectral techniques (e.g., mid-infrared, hyperspectral imaging) and modeling to study soil geochemistry, carbon dynamics, and climate change mitigation. Current projects include ClimateCropping (EU-wide soil carbon management), PRISM (in-field soil sensors), and CFunction (carbon-nutrient stoichiometry). Grants & Projects: Key grants include funding from Teagasc, the Department of Agriculture, and the Sustainable Energy Authority of Ireland. Notable projects include proximal soil sensing for carbon monitoring and bio-based product development via pyrolysis. Teaching: She coordinates modules such as 'Carbon & Sustainability,' 'Soil Technology,' and 'Research Skills,' emphasizing agricultural systems and climate-smart practices. Awards: Recognized as an Ad Astra Fellow, highlighting her contributions to innovative soil science research.

George O'MahonyView profile

Lecturer

• Cybersecurity
• Cyber Resilience
• Network Security
• +8 more

Dr. George O'Mahony serves as Head of Department of Computer Science at Munster Technological University (MTU) and is a CONNECT Associate Investigator with Research Ireland. He leads Ireland's Cyber Range infrastructure development and acts as WorldSkills Ireland Expert for Cybersecurity Skill 54, driving national cybersecurity initiatives through academia-industry collaboration. Education: B.E. in Electrical and Electronic Engineering, University College Cork (UCC) Ph.D. in Electrical and Electronic Engineering, University College Cork (UCC), 2021 His research pioneers cyber resilience frameworks for OT/IoT systems, zero-trust architectures, and machine learning applications in anomaly detection. He develops low-complexity security solutions for resource-constrained edge devices, with emphasis on wireless sensor networks, GPS applications, and penetration testing methodologies. His work bridges theoretical innovation with practical infrastructure implementation. Recent publications reveal accelerating focus on quantum-resistant cryptography, MQTT-ZT secure brokers, and unified cyber resilience models. His scholarly output consistently addresses interference detection in wireless networks while expanding into satellite communications security and AI-driven network customization, reflecting strategic adaptation to emerging cyber threats. Research Leadership: CONNECT: Associate Investigator advancing cyber security research NCF Cyber Shock: Co-Principal Investigator Cyber Explore: Principal Investigator at MTU Cyber Range: National infrastructure lead (mobile/cloud) Horizon Telemetry: Core research team member As STEM advocate and Cyber Futures Academy contributor, O'Mahony shapes cybersecurity education through WorldSkills Ireland engagement and industry-focused cyber range deployments that serve academic, governmental, and commercial sectors.

• 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.

Mathieu MercadierView profile

Assistant Professor

• Business Analytics
• Machine Learning
• Statistics
• +4 more

Dr. Mathieu Mercadier is an Assistant Professor of Business Analytics at Dublin City University Business School, Ireland. He serves as Programme Chair for the MSc and Graduate Diploma in Business Analytics. His research focuses on Business Analytics, Machine Learning, Financial Risk Management, and Sustainable Finance. Education: PhD in Economics from Université de Limoges, France, specializing in Machine Learning applied to Banking and Finance. He has ten years of industry experience as a Market Finance Consultant. Research interests include applying Machine Learning to banking risk, sustainable finance, and quantitative finance. His work spans statistical modeling for financial stability, algorithmic risk assessment, and ESG fund evaluation. Key trends in his articles involve quantum-enhanced machine learning for stock forecasting, systemic risk measurement, and pandemic impact analysis. No scientific awards listed. Advising and grants: No formal grants or student advisees mentioned. Active in curriculum development for business analytics programs. Engaged in international conferences and seminars. Labs/Teams: Not explicitly stated in provided data.

• Data Management
• Peer Review
• Research Evaluation
• +3 more

Professor Kalpana Shankar is a Full Professor at the School of Information and Communication Studies at University College Dublin (UCD). She holds roles such as former Head of School (2015-2018) and Co-Director of the UCD Centre for Digital Policy. Her research focuses on data management, peer review processes, research evaluation, and digital policy, with notable projects funded by Science Foundation Ireland, the Irish Research Council, and the U.S. National Science Foundation. Key contributions include studies on the sustainability of social science data archives and peer review at SFI. Education: PhD in Library and Information Science from UCLA, postdoctoral fellowships at UCLA (Center for Embedded Networked Sensing) and NIH (Science Policy). Professional Roles: Editor-in-Chief of Online Information Review , member of the Royal Irish Academy’s Equity Diversity and Inclusion committee, and representative on the National Open Research Forum (NORF). Teaching: Coordinator for UCD’s MSc/Diploma in Digital Policy and PhD supervision in critical data studies, open data, and research evaluation. Research Interests: Sociotechnical imaginaries of data, peer review fairness, digital policy frameworks, and the impact of pandemic responses on academia. Awards include the 2020 UCD College of Social Sciences and Law Teaching Excellence Award.

• 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.

Darius WhelanView profile

Senior Lecturer

• Mental Health Law
• Electronic Legal Resources
• E Law
• +6 more

Darius Whelan is a Senior Lecturer in Law at University College Cork (UCC), where he serves as Director of the LLB programme. He holds a BCL from University College Dublin, an LL.M. in 'The Comparative Method and Law Reform', and a Ph.D. in 'Criminal Procedure and Mental Health' from Trinity College Dublin. His academic career spans over three decades, with roles at UCC since 1997, including Senior Lecturer since 2013. His research focuses on Mental Health Law, Employment Law, and Internet Regulation. Notable works include Mental Health Law and Practice: Civil and Criminal Aspects (2009) and contributions to the Mental Health Act, 2001 Toolkit (2022). He co-founded UCC's IT Law Clinic and is President of the Irish Mental Health Lawyers Association. Key grants include the Irish Research Council-funded 'Improving Human Rights for People with Mental Health Difficulties' (2021–2022) and a 2002 project on Employment Equality Law. Awards include Supreme Court citations for his research and UCC's President's Award for Innovative Teaching. Whelan has advised on mental health law reforms, participated in over 40 conferences, and collaborated with international organizations like Creative Commons. His teaching interests extend to Cybercrime, Copyright Law, and Digital Learning. He supervises Ph.D. students in areas like AI and Law, Employment Law in the Digital Age, and Human Rights in Mental Health. Labs/Teams: Director of UCC's IT Law Clinic; Board member of Sample Studios; Member of Creative Commons Ireland.

• Natural Computing
• Financial Modelling
• Operations Research
• +3 more

Professor Anthony Brabazon is the College Principal and Dean of the UCD College of Business at University College Dublin. He holds a prominent administrative role alongside his academic contributions in natural computing and business analytics. His research focuses on natural computing theory, financial modeling using evolutionary algorithms, and complex adaptive systems in business contexts. Brabazon co-founded the Natural Computing Research and Applications Group (NCRA) at UCD, which explores theoretical and practical applications of bio-inspired algorithms. Education: B Comm and Dip. Prof Accounting – University College Dublin DBA – Kingston University, London DPA and Dip Stat – University College Dublin and Trinity College Dublin MBA – Heriot-Watt University, Edinburgh MS – Stanford University Research Interests: Anthony's work bridges computational intelligence and finance, with contributions to genetic programming, foraging-inspired optimization, and business analytics. His research highlights the application of evolutionary algorithms to real-world problems in finance, operations research, and organizational strategy. Grants and Collaborations: HEA Support for COVID-19 Related Research (2020–2025) Financial Mathematics and Computation Cluster (FMC²) (2009–2016) Teaching: Coordinated MAcc Management Accounting courses at the postgraduate level (2018–2019). Professional Activities: Member of CIMA Ethics Board Editorial board roles in multiple journals Founder of EvoBAFin workshop on computational finance

• Volunteered Geographic Information (VGI)
• OpenStreetMap
• Spatial Data Analysis
• +3 more

Peter Mooney is a Lecturer in the Department of Computer Science, Faculty of Science & Engineering at Maynooth University. His research focuses on Volunteered Geographic Information (VGI), OpenStreetMap, spatial data analysis, and geospatial data integration in applications such as environmental monitoring and pervasive health systems. Institution: Maynooth University School: Faculty of Science & Engineering Department: Computer Science Role: Lecturer Mooney's research explores the use of crowdsourced geospatial data, particularly through OpenStreetMap, analyzing data quality, community roles, and integration into location-based services. His work bridges technical analysis with policy considerations in geospatial data management. Recent publications highlight his contributions to understanding spatial data dynamics, including attribute changes in OpenStreetMap, characteristics of edited objects, and applications of VGI in environmental systems. He also investigates the intersection of haptics and GIS for novel interaction methods. Contact: peter.mooney@mu.ie

Fabiano PallonettoView profile

Professor

• Smart Grids
• Sustainable Mobility
• Energy Systems Optimization
• +3 more

Fabiano Pallonetto is a Professor at Maynooth University's School of Business, with affiliations to the Hamilton Institute and Innovation Value Institute (IVI). He combines academic research with industry experience in energy, IT, and transport sectors. Role: Professor Location: Room 314, Maynooth University Contact: Fabiano.Pallonetto@mu.ie His research focuses on smart grid integration, energy system optimization, and sustainable development. Key projects include: NexSys (Funded Investigator): Developing net-zero energy pathways FLOW (Principal Investigator): Flexible EV-grid integration RES4CITY (Coordinator): Workforce upskilling for renewables Recent publications analyze energy flexibility software, deep learning optimization models, phase change materials for thermal storage, and blockchain security frameworks. His work spans smart cities , renewable integration , and AI-driven energy systems . Student Supervision: Currently advising MR B. Mohseni-Gharyehsafa (PhD research).

• Machine Learning
• Interactive Machine Learning
• Healthcare Applications
• +5 more

Dr. Brian Mac Namee is an Associate Professor at the School of Computer Science, University College Dublin (UCD), and UCD Site Director at the Insight SFI Research Centre for Data Analytics since 2024. His research focuses on interactive machine learning, emphasizing human-centered model training, with applications in healthcare, agriculture, space technology, and virtual reality. He co-authored the textbook Fundamentals of Machine Learning for Predictive Data Analytics , translated into five languages. Education includes a PhD (2004) and BA (Mod) from Trinity College Dublin. He previously co-founded the Applied Intelligence Research Centre at Technological University Dublin and was a founding co-PI at CeADAR. He chairs the Artificial Intelligence Association of Ireland and directs training at Krisolis Ltd. Notable awards include the 2016 Data Science Award for Best Academic Research Team and UCD's Fiosraigh Research Excellence Award (2013). His teaching spans advanced machine learning, data science projects, and programming courses. He leads grants such as the SFI-funded Machine Learning & Virtual Reality for Pilot Training and co-directs the SFI Centre for Research Training in Machine Learning.

Muhammad Intizar AliView profile

Assistant Professor

• Data Analytics
• Internet of Things (IoT)
• Machine Learning & AI for IoT
• +8 more

Dr. Muhammad Intizar Ali is an Assistant Professor in the School of Electronic Engineering at Dublin City University (DCU). He holds a PhD (with distinction) from Vienna University of Technology, Austria (2011) and has held roles including Adjunct Lecturer and Research Fellow at the Insight Centre for Data Analytics, NUI Galway. His primary research focuses on IoT, Data Analytics, Machine Learning, and Knowledge Graphs with applications in Smart Cities, Manufacturing, Farming, and Healthcare. Education: PhD in Computer Science, Vienna University of Technology (2007-2011) Research Interests: IoT and Edge Analytics Federated and Distributed Machine Learning Semantic Web and Knowledge Graphs Smart Manufacturing and Industry 4.0 Stream Processing and Real-Time Systems Recent Work Trends: His publications emphasize federated learning frameworks, IoT-enabled adaptive intelligence, and knowledge graph applications in industrial contexts. Recent projects include digital twin systems for predictive maintenance and ontology-driven manufacturing solutions. Grants & Projects: Lead Investigator in SFI-funded projects like MultiRoof (2025-2029) and Neuro-Symbolic AI for Building Management EU/Industry collaborations including Terrain-AI and Bentley-funded initiatives Labs & Teams: Active in DCU's Data Analysis and Machine Learning research groups, leading projects like Smart DCU Digital Twin for campus optimization.

James HadleyView profile

Associate Professor

• Translation Studies
• Digital Humanities
• Literary Translation
• +3 more

James Hadley is an Associate Professor in Russian and Slavonic Studies and holds the Ussher Assistant Professorship in Literary Translation at Trinity College Dublin. He directs the MPhil in Literary Translation program and leads the Irish Research Council-funded QuantiQual Project. His research focuses on translation studies, particularly indirect translations, employing digital humanities and empirical methods to explore previously unanswerable questions. He is based at the Trinity Centre for Literary and Cultural Translation, fostering public engagement through events and initiatives. Dr. Hadley’s work bridges literary translation, technology integration, and computational analysis. He actively recruits doctoral/postdoctoral researchers interested in digital humanities applications in translation studies, especially regarding indirect translation. His research has addressed topics such as machine translation impacts, sentiment classification, and historical translation practices in Japan. He can be contacted at hadleyj@tcd.ie for collaborative opportunities. His academic contributions span theoretical frameworks (e.g., the Concatenation Effect Hypothesis) and practical applications like OCR tools for historical texts. The Trinity Centre serves as a hub for interdisciplinary translation studies, emphasizing both scholarly rigor and public accessibility.

Sabin TabircaView profile

Senior Lecturer

• Artificial Intelligence
• Data Analytics
• Algorithmics
• +6 more

Dr. Sabin Tabirca is a Senior Lecturer at the School of Computer Science and Information Technology, University College Cork (UCC). He holds a BSc from Bucharest University and a PhD from Brunel University. His research focuses on Artificial Intelligence, Data Analytics, Algorithmics, Interactive Media, and HCI, with applications in computational cancer modeling, mobile health (mHealth), and parallel computing. He coordinates MPT Activities and is affiliated with the CRR Group and BCRI Centre. Notable awards include UCC's President Award for Innovation in Teaching (2007), IT@Cork Leader Award (2008), and UCC Staff Recognition Award (2013). His teaching includes modules like Parallel and Grid Computing, Mobile Application Design, and Graphics for Interactive Media. Dr. Tabirca has supervised over 70 MSc students and numerous PhD candidates, many of whom now hold academic and industry roles globally. His research includes developing mHealth apps for cystic fibrosis patients, 3D cancer visualization tools, and frameworks for mobile parallel computing. Publications span mHealth design pipelines, cancer prediction models, and mobile gaming for health education. He actively engages in interdisciplinary projects, blending computer science with medical and biological applications.