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Fazilat Hojaji NajafabadiView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Telemetry Data Analysis
• +5 more

Fazilat Hojaji Najafabadi is an Associate Professor in the Department of Computer Science & Information Systems, affiliated with Lero – the SFI Research Centre for Software. Their research focuses on AI-driven analytics in gaming and simulated racing, machine learning applications, and software governance frameworks. Formerly a Senior Software Analysis & Design Leader at ICT Organization of Isfahan Municipality (2018–2020), they hold a PhD in Software Engineering from the University of Isfahan, alongside a Master’s in Information Technology and Management from Amirkabir University of Technology and a Bachelor’s in Computer Science from Isfahan University of Technology. Research Interests: Machine learning for driver behavior analysis, telemetry data modeling, esports performance prediction, and governance frameworks for service-oriented architectures. Their work combines theoretical models with practical applications in software engineering and automotive simulations. Publications: Recent contributions include studies on AI techniques for esports KPI identification, sim racing performance prediction via telemetry, and frameworks for optimizing model-driven systems. Their work bridges machine learning with real-world applications in gaming and automotive domains. Labs/Teams: Active member of Lero, Ireland’s national software research center, contributing to interdisciplinary projects in AI and software engineering.

• Computational Chemistry
• Quantum Mechanics
• Molecular Dynamics
• +3 more

Joaquin Klug is a Lecturer in Pharmaceutical and Biopharmaceutical Science at Atlantic Technological University (ATU) and a Principal Investigator at the Centre for Mathematical Modelling and Intelligent Systems for Health & Environment (MISHE). He holds a Licenciatura (BSc Hons) and PhD in Chemistry from the Universidad Nacional de Córdoba, Argentina. Prior roles include positions at Universidad Nacional de Cuyo, Queen’s University Belfast, Dublin City University, and University College Dublin. His research focuses on computational chemistry, quantum mechanics, molecular dynamics, and machine learning, with applications in drug formulation, nanoparticle-membrane interactions, and molecular crystal design. Key contributions include studies on cocrystal formation, lipid bilayer-peptide interactions, and free-energy calculations in nanoparticle adsorption. Notable collaborations involve institutions in Argentina and Ireland, with a strong emphasis on interdisciplinary approaches combining computational and experimental methods. Klug is a member of the Royal Society of Chemistry and has contributed to over 8 peer-reviewed articles since 2013, with significant citations in materials and biophysical sciences.

Damien DupréView profile

Assistant Professor

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

Patrick McInerneyView profile

Lecturer

• Photogrammetry
• 3D Modelling
• Lighting/Rendering
• +9 more

Patrick McInerney is a Lecturer at South East Technological University (SETU) , Waterford, Ireland, affiliated with the Department of Computing and Mathematics and the Centre for Information Systems and Techno-culture. His research focuses on photogrammetry, 3D modeling, computational photography, and semantic technologies for digital cultural heritage and human-machine symbiosis. Education: BSc (Hons) in Industrial Computing; Postgraduate Diploma in Sociology (The Open University) Research Interests: Metrology-based documentation of cultural heritage, semantic web applications for street art archiving, and human-centered machine learning in digital humanities. His work bridges computer science, visual arts, and social sciences. Key Collaborations: Leads the MementoArtem Digital Street Art Archive project, collaborating with SETU Library, INSYTE-Cooley research group, and external partners. His research aligns with the UN Sustainable Development Goal of Quality Education through digital preservation. Professional Affiliations: Member of CIPA Heritage Documentation, ICOMOS, and IFAC. Active in the Technology, Culture and International Stability (TECIS) committee.

• Network Optimization
• Quantum Communication
• Machine Learning
• +6 more

Dr. Avishek Nag is an Assistant Professor in the School of Computer Science at University College Dublin, Ireland. His work focuses on network optimization, quantum communication, machine learning, and 6G technologies. He holds a PhD from the University of California, Davis, and has over 100 publications in journals, conferences, and book chapters. Education: B.E. (Honours) in Computer Science from Jadavpur University (2005) M.Tech. from Indian Institute of Technology Kharagpur (2007) Ph.D. in Computer Science from University of California, Davis (2012) Research Interests: Quantum Networks & Key Distribution (QKD) 6G Networks & Explainable AI IoT Security & Edge Computing Optical Network Optimization Machine Learning for Biometrics & Healthcare Recent Publications: Recent work includes hybrid noise modeling for quantum satellite communication, XAI-driven network slicing for 6G, and ECG-based biometric systems. His research bridges theoretical advancements with practical implementations in telecommunications and cybersecurity. Awards: 2008 IEEE Advanced Networks Best Paper Award Grants & Leadership: Outreach Lead for IEEE UK & Ireland Blockchain Group Coordinated Cross-Atlantic EU-US testbed experiments Teaching: Teaches Distributed Systems, Wireless Communications, and Software Engineering at UCD.

• Simulation and Control of Manufacturing Systems
• Digital Manufacturing Applications
• Industry 4.0 Technologies
• +3 more

Nikolaos Papakostas is an Associate Professor at the School of Mechanical and Materials Engineering, University College Dublin (UCD), and Director of the Master of Engineering with Business Programme. His expertise spans simulation, control, and scheduling of manufacturing systems, digital manufacturing, Industry 4.0 technologies, and IoT applications in supply chains. He holds a PhD in Engineering (2000) and a Diploma in Mechanical Engineering (1995) from the University of Patras, Greece. Prior to UCD, he worked at the Laboratory for Manufacturing Systems and Automation (LMS) and served as CIO at INTRAMET Steel. He has led numerous European projects and collaborated with industries in automotive, aerospace, and biotechnology. Research: Focuses on additive manufacturing, robotics, and digital twins. Recent work includes porosity prediction in AM, human-robot collaboration in bioprocessing, and blockchain for product development. He has over 80 peer-reviewed publications and 500+ citations. Key grants include the SHERLOCK project (EU-funded) on collaborative workplaces and I-Form, an Advanced Manufacturing Research Centre. Teaching: Coordinates modules like Applied Robotics Research, Robotic Applications, and Operations Management. His teaching emphasizes integrating business and engineering through project-based learning. Affiliations: Member of CIRP, IEEE, and the Technical Chamber of Greece. His work bridges academia and industry, addressing challenges in flexible manufacturing, sustainability, and smart technologies.

Darragh O'BrienView profile

Assistant Professor

• Software Security
• Network Security
• Security Assurance
• +4 more

Darragh O'Brien is Assistant Professor in the School of Computing at Dublin City University's Faculty of Engineering and Computing, and member of the ADAPT research centre. His research spans network security, software security assurance, and speech processing technologies. O'Brien's technical work includes malware detection systems, DNS traffic analysis for botnet identification, and secure programming methods. His speech processing research focuses on pathological speech classification using machine learning and glottal source modeling. Recent publications demonstrate growing engagement with healthcare applications including surgical prehabilitation systems and pathological speech diagnosis. Teaching innovations include using SystemTap for operating systems education. Courses taught: Computer Programming Fundamentals Network Security Secure Programming

Graham HealyView profile

Assistant Professor

• Human-Computer Interaction
• Brain-Computer Interfaces
• Eye-Tracking Systems
• +3 more

Graham Healy is Assistant Professor and COMSCI Programme Board Chair at Dublin City University's School of Computing. His research develops hybrid human-computer interaction systems using bioelectric signals (EEG), eye-tracking, and machine learning. Current projects include the CASTLE multimodal dataset, AMBER BCI dataset for naturalistic settings, and DERCo EEG-reading comprehension corpus. Dr. Healy creates interactive retrieval systems like VEAGLE (eye gaze-assisted video browsing) and LifeInsight (lifelog search engine), winning competitive evaluations at Video Browser Showdown and Lifelog Search Challenge events. His neuroergonomics research investigates pre-stimulus EEG for predicting driver reaction times, while health informatics projects develop machine learning models for early gestational diabetes prediction using electronic health records. With PhD expertise in brain-computer interfaces from DCU, Dr. Healy's work spans experimental neuroscience, information retrieval, and clinical applications. Recent publications address reproducibility challenges in medical AI and validate diagnostic coding in electronic health systems. His NeuroScore framework evaluates GAN performance using neural responses, advancing quality assessment in synthetic media.

Susan HegartyView profile

Associate Professor

• Citizen Science
• Water Quality Monitoring
• Environmental Geography
• +4 more

Dr. Susan Hegarty is an Associate Professor in the School of History and Geography at Dublin City University (DCU), and serves as Institutional Lead for DCU Futures within the Office of the Vice President for Academic Affairs. Her research focuses on citizen science for water quality monitoring, Irish landscape evolution, and historical mineral resource exploitation. She actively engages in public outreach through documentaries and citizen science projects, emphasizing fieldwork’s role in geography education. A Senior Fellow of the Higher Education Academy, her work bridges academic research with community engagement, addressing environmental challenges through interdisciplinary approaches. Her research interests include catchment-scale water management, Quaternary geology’s impact on water vulnerability, and the historical use of Irish mineral resources. She has contributed to understanding subglacial landscapes and pollutants in water sources, while advocating for sustainable development goals through citizen science initiatives. Scientific Awards: Senior Fellow of the Higher Education Academy Dr. Hegarty promotes field studies in undergraduate geography and collaborates on projects such as the Lough Cullin palaeoenvironmental record and hydropower socio-environmental impact studies. Her work spans environmental policy, community engagement, and methodological advancements in data integration and machine learning for hydrological forecasting.

Conor BrennanView profile

Associate Professor

• Wave Propagation Modelling
• Computational Electromagnetics
• Rough Surface Scattering
• +5 more

Affiliations & Roles Dr. Conor Brennan is an Associate Professor in the School of Electronic Engineering at Dublin City University. His roles include academic leadership, research supervision, and teaching in propagation modeling, RF simulation, and computational methods. He is affiliated with the Stokes and FutureTech buildings and collaborates internationally, including with Wuhan University for joint Master's programs. Research Interests His work focuses on wave propagation modeling across rural, urban, and indoor environments, emphasizing computational electromagnetics, rough surface scattering, and metamaterial design. Innovations include full-wave models using integral equations and acceleration techniques like the Fast Far Field Algorithm (FAFFA) and Improved Tabulated Interaction Method (I-TIM). Urban studies involve vehicular channels and millimeter-wave systems, while indoor research explores volume integral equation methods and seamless localization (SEAMLOC). Teaching Brennan teaches advanced modules such as Propagation and Channel Modelling , , and engineering mathematics courses. His pedagogical contributions include developing technology-enhanced assessments (TeRMEd) and the UniDoodle student response system. Grants & Collaborations Research is supported by grants in wireless communication, sensor networks, and metamaterials. Collaborations span academia and industry, with notable projects in vegetation THz propagation, plant monitoring nanosensors, and curriculum design for telecommunication engineering. Labs & Teams He leads a dynamic team including graduates (e.g., Patrick Bradley, Marie Mullen) and current researchers (Vinh Pham, Ian Kavanagh). The group utilizes advanced simulation tools and experimental setups for propagation analysis, localization, and materials testing.

Faeq AlrimawiView profile

Assistant Professor

• Cyber Physical Systems
• Security Incident
• Software Engineering
• +5 more

Faeq Alrimawi serves as an Assistant Professor in the Department of Computer Science & Information Systems and is a member of Lero – the Research Ireland Centre for Software. His academic work bridges theoretical software engineering with practical applications in critical infrastructure and human-centered systems. His research profile forms a distinctive fingerprint dominated by: Cyber Physical Systems (100%) Security Incidents (79%) Software Engineering (60%) Physical Space (60%) Supply Chain (60%) Cyber/Physical Component integration (50%) This concentration manifests in work addressing societal challenges through kind space design, adaptive assistive technologies, and fraud-resistant supply chains. His methodology consistently integrates physical and social dimensions to enhance system resilience. Analysis of his 2022-2024 publications reveals three converging trends: (1) Humanizing cyber-physical systems through emotion-aware design, (2) Developing adaptive multi-modal interfaces for vulnerable populations, and (3) Creating topology-aware security frameworks for Industry 4.0 environments. These threads demonstrate increasing focus on ethical implications of software systems. No scientific awards were documented in the provided materials. Available information indicates no formal advising relationships or grant leadership details. His collaborative network spans international institutions as evidenced by co-authorship with researchers from diverse geographic regions. As a core member of Lero (Ireland's national software research center), he contributes to cross-institutional teams developing next-generation software solutions with emphasis on safety-critical systems. The center's industry partnerships facilitate real-world validation of his research in operational technology environments.

Derek BridgeView profile

Senior Lecturer

• Artificial Intelligence
• Data Analytics
• Algorithmics
• +3 more

Dr. Derek Bridge is a Senior Lecturer in the School of Computer Science and Information Technology at University College Cork (UCC). His research focuses on Artificial Intelligence, Data Analytics, and Algorithmics, with particular expertise in Recommender Systems and Case-Based Reasoning. He has led multiple research projects funded by organizations like Science Foundation Ireland (SFI) and the Environmental Protection Agency (EPA), exploring topics such as waste exchange optimization and collaborative recommendation systems. Dr. Bridge holds a PhD from the University of Cambridge and a BSc from Brunel University. His work spans over three decades, with significant contributions to academic journals and conferences, including top-tier venues like ACM Recommender Systems and International Conferences on Case-Based Reasoning (ICCBR). He has organized conferences such as the Workshop on Reasoning from Experiences on the Web (WebCBR) and served on editorial boards, including the ACM Transactions on Interactive Intelligent Systems . Research Interests: - Recommender Systems (diversity, serendipity, and beyond-accuracy objectives) - Case-Based Reasoning (CBR) applied to problem-solving and explanation generation - Machine Learning and Optimization (ant colony algorithms, collaborative filtering) - Applications in e-commerce, music recommendation, and decision support systems Awards: 2010 BCS SGAI Paper Award 2010 ICTAI Best Paper Prize 2004 ICCBR Best Paper Prize 2014 Crowd Favourite Award (Computer Cooking Contest) Teaching & Professional Activities: - Supervised PhD students (e.g., Walid Trabelsi, Lisa Cummins) - Served as external examiner for institutions in Ireland, Portugal, Spain, and beyond - Reviewed proposals for funding agencies in Ireland, Italy, and France

• Signal Processing
• Video Processing
• Bayesian Inference
• +5 more

Professor Anil Kokaram is a distinguished academic and researcher in Electronic Engineering at Trinity College Dublin (TCD), Ireland. He holds a PhD in Signal Processing from the University of Cambridge (1993). As a Fellow of Engineers Ireland and recipient of an Academy Award (Oscar) for his work in video processing, he is renowned for contributions to digital video restoration, multimedia forensics, and video compression. From 2011–2017, he led the Media Algorithms Team at YouTube/Google, advancing cloud-based video transcoding and enhancement technologies. His research bridges academia and industry, with innovations in Bayesian inference, motion estimation, and neural network applications for video processing. **Education**: PhD in Signal Processing, University of Cambridge (1993). **Key Roles**: Former Associate Editor of IEEE Transactions on Video Technology and Image Processing. Founded GreenParrotPictures (acquired by Google), producing video enhancement software. **Research Focus**: Video compression artifacts, perceptual quality metrics (e.g., ViSQOL), and adaptive streaming algorithms. **Notable Projects**: Developed frameworks for automated sports broadcasting, noise reduction in medical imaging, and synchronization of user-generated videos. **Awards**: 2007 Science & Engineering Academy Award (Oscar), 2007 Fellow of Engineers Ireland. **Labs/Teams**: Leads the Signal Media Algorithms group at TCD, collaborating with industry partners like Google on large-scale video analysis systems. His work emphasizes practical applications of signal processing in creative industries, including film post-production and virtual production.

Nyamsuren EnkhboldView profile

Lecturer

• Artificial Intelligence
• Cognitive Science
• Software Engineering
• +5 more

Dr. Nyamsuren Enkhbold is a Lecturer in Computer Science (Software Engineering) at the School of Computer Science and Information Technology, University College Cork. He holds a PhD from the University of Groningen (Cognitive Modeling), an MSc from KAIST (Computer Science), and a BSc from Huree University (Computer Science). His research focuses on intelligent software development at the intersection of AI, Cognitive Science, and GIS, with notable contributions to geo-analytical question-answering systems and EU-funded projects like RAGE (serious games) and QuAnGIS (GIS workflow automation). Current interests include GenAI applications via fine-tuning and prompt engineering. He teaches CS3062 - Computing in Society CS6403 - Case Studies in Computing Entrepreneurship and previously contributed to courses at Utrecht University and KAIST. His work has been supported by a School of Computer Science Starter Fund (€10k). Research highlights include developing reusable AI components for serious games and advancing GIS systems that automatically generate workflows from user queries. His publications span cognitive modeling, spatial semantics, and NLP-driven geo-analytical tools.

Zili LiView profile

Senior Lecturer

• Innovative Monitoring Technologies
• Computational Geotechnics
• Tunnelling Engineering
• +3 more

Dr. Zili Li is a Senior Lecturer (Associate Professor) in Geotechnical Engineering at University College Cork (UCC), Ireland. He holds a PhD from the University of Cambridge and has postdoctoral experience at the Colorado School of Mines and a visiting professorship at MIT. His research focuses on innovative monitoring technologies, computational geotechnics, and energy geotechnics. He leads projects funded by CERN and the SFI Frontiers Programme, totaling over €2 million as Principal Investigator. Education Bachelor in Civil Engineering, Tongji University PhD in Engineering, University of Cambridge Research Interests Dr. Li’s research integrates advanced technologies like distributed fiber optic sensing, machine learning, and wireless sensor networks with geotechnical engineering challenges. His work spans tunneling engineering, geothermal foundations, and energy geotechnics, addressing critical infrastructure needs such as underground excavation monitoring and large-scale energy geostructures. Grants and Projects Principal Investigator of SFI Frontiers for the Future Programme (€612.8k) Leading CERN-funded project on tunnel monitoring (€405k) Task Force Leader for Big Data Acquisition in ISSMGE’s TC309 Awards John Murphy Postgraduate Research Fellowship (2022) Advising and Mentoring Supervising 8 PhD students and mentoring a postdoc, Dr. Li actively contributes to training the next generation of geotechnical engineers. Labs and Teams Leads the Zili Li Group, focusing on machine learning and big data applications in geoscience. Organized the 4th International Symposium on Machine Learning and Big Data in Geoscience (ISMLG 2023).