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Sampritha Hassan ManjunathView profile

Research Fellow

• Ontology Learning
• Knowledge Graph Generation
• Relation Extraction
• +3 more

Sampritha Hassan Manjunath is a Research Fellow at the Insight Centre for Data Analytics at the University of Galway, working under Prof. Paul Buitelaar in the Unit for Natural Language Processing (UNLP). Her primary focus includes ontology learning, knowledge graph generation, relation extraction, named-entity recognition, text analysis, and information extraction. MSc in Artificial Intelligence, University of Galway Her research integrates domain-specific knowledge to advance natural language processing (NLP) tasks, with industry collaborations involving Huawei, the EU, Tr3dent, and the University of Galway on projects like intent classification and automatic SDG mapping. Sampritha has published papers on knowledge graph tools and deep learning models for term recognition, leveraging BERT embeddings and the EEAP framework. She is affiliated with the Insight Centre for Data Analytics and previously gained software engineering experience at Intel Technologies and CGI Group Inc., specializing in Java, Agile, Scrum, and CI/CD practices.

• ontologies
• lexicography
• knowledge graphs
• +5 more

John McCrae is a lecturer at the Insight Centre for Data Analytics, University of Galway, Ireland. He works within the Unit for Natural Language Processing under Paul Buitelaar, focusing on linguistic linked open data and lexical resource modeling via lemon and OntoLex frameworks. Research Focus: ontologies, lexicography, knowledge graphs, machine translation, linked data, machine learning, under-resourced languages, digital humanities Funding: €1.7m from EU, IRC, SFI Collaborations: Fidelity Labs, Standardization with W3C and OASIS His publications address code-switching datasets, machine translation for Dravidian languages, ontology lexicons, and taxonomy extraction. He organized the Linked Data in Linguistics workshop series and the 2017 Language, Data and Knowledge (LDK) conference. Scientific Awards: IRC Consolidator Laureate Awards (2017/2018)

• Cybersecurity
• Terahertz Communications
• Access Control Systems
• +5 more

Dr. Bernard Butler is a Lecturer in the Department of Computing and Mathematics at the Walton Institute for Information and Communications Systems Science, South-East Technological University (SETU). He holds a PhD in Access Control System Specification (2016) and specializes in cybersecurity, terahertz communications, access control systems, and smart grid security. His research bridges theoretical frameworks with practical applications in 6G networks, vehicular systems, and augmented reality. Affiliations: SETU Walton Institute Key Focus Areas: Terahertz nanonetworks, UAV security, quantum machine learning, and climate change sensing via 6G Research Interests: Terahertz Engineering , Access Control Policies , and Vehicular Network Optimization . He explores disruptive technologies like the Internet of Paint (IoP) for environmental monitoring and AR applications in intelligent transportation systems. His 2024 work on False Data Injection Attacks on UAVs highlights cybersecurity vulnerabilities in drone delivery systems, while 2025's IoP research pioneers smart material-based communication networks. Recent projects include 'ATLAS' (access control system dimensioning) and 'SWAGGER' (mobile/web deployment platforms). Advising: Supervises PhD projects in UAV security, quantum machine learning, and smart grid security. Grants include leadership in two national projects (2008, 2014). Labs/Teams: Active in the Walton Institute's communications systems research group, collaborating on 6G applications and environmental sensing technologies.

John BreslinView profile

Professor

• Data Science
• Artificial Intelligence
• Social Semantics
• +7 more

John Breslin is a Personal Professor in Electronic Engineering at the University of Galway, leading the TechInnovate/AgInnovate programs. His roles include Director of the Insight (Data Analytics) and VistaMilk (AgTech) research centers. He has authored 350+ publications and co-created the SIOC framework, widely used in web applications. His research spans Data Science, AI, Semantic Web, IoT, and Entrepreneurship. He has won multiple awards, including the Best Irish-Published Book and IIA Net Visionary Awards. His teaching spans 25 years, covering topics like Digital Control Systems and Innovation. He co-founded boards.ie, StreamGlider, and leads initiatives in Galway's innovation ecosystem. Research Interests: Data Science, AI, Social Semantics, IoT, Agricultural Technology, and Innovation. He is ranked top in Engineering and Computer Science citations at the University of Galway. His work contributes to UN SDGs related to Industry, Innovation, and Infrastructure. Education: Details not explicitly provided in text. Collaborations include Bosch, Cisco, IBM, and Harvard Medical School. Active in industry partnerships and startups, including the PorterShed Innovation District. Awards: Best Paper Awards, Entrepreneurship Recognition, and Academic Excellence. Supervised nearly 30,000 ECTS across modules, with a focus on graduate and postgraduate tech innovation programs.

• Bioinformatics
• Artificial Intelligence in Healthcare
• Digital Health
• +7 more

Dr. Ali Hasnain is a Lecturer in Computational Biology and Data Analytics at the Royal College of Surgeons in Ireland (RCSI), School of Pharmacy and Biomolecular Sciences. He holds a PhD from the National University of Ireland Galway and has over 15 years of experience in academia and the software industry, including roles as a Senior Researcher at University College Dublin and Adjunct Lecturer at the Insight Centre for Data Analytics. His research focuses on Artificial Intelligence in Healthcare, Digital Health, Bioinformatics, and Semantic Web technologies, with expertise in data analytics for life sciences and healthcare management. Education: PhD in Bioinformatics & Data Analytics, National University of Ireland Galway MSc in Engineering and Management of Information Systems, Royal Institute of Technology (KTH), Sweden MSc in Project Management and Operational Development, KTH, Sweden BSc (Honors) in Computer Science, Pakistan Institute of Engineering and Applied Sciences Research Interests: Dr. Hasnain’s work bridges computational biology, data science, and healthcare. Key areas include developing algorithms for biomedical data integration, AI-driven query systems for healthcare knowledge graphs, and optimizing pesticide efficacy through genomic analysis. His recent projects address challenges in dementia care technology and environmental stress impact on organisms . Awards & Recognition: Best Paper Awards at ESWC 2017, ISWC2018, and ESWC 2018 Young Scientific Researchers Grant from SWSA/NSF (2012, 2015) Grants & Collaboration: Led the Dementia and Technology (DaTe) project (2021–2023), funded by the Irish Research Council. Collaborations include work on federated SPARQL query systems and semantic web solutions for large-scale biomedical data. Labs & Teams: Active in RCSI’s Pharmacy & Biomolecular Sciences labs, contributing to interdisciplinary projects. Previously led research initiatives at Insight Centre and UCD’s School of Computer Science.

Ciaran EisingView profile

Associate Professor

• Computer Vision
• Artificial Intelligence
• Machine Learning
• +7 more

Ciaran Eising is an Associate Professor in the Department of Electronics & Computer Engineering at the University of Limerick. His research focuses on computer vision, machine learning, and their applications in intelligent transportation systems, particularly autonomous driving and driver assistance systems. He is a member of the Centre for Sustainable Digital (Re)Manufacturing, Data-Driven Computer Engineering Research Centre, and Lero – the SFI Research Centre for Software. Education: PhD from the National University of Ireland Galway (2010), BE (2003). External roles include Senior Expert at Valeo Vision Systems (2009–2020) and Adjunct Lecturer at NUI Galway (2016–present). His expertise spans automotive vision systems, embedded systems, and sensor fusion. Research Interests: Driver Assistance Systems, Autonomous Driving, Object Detection, Motion Segmentation, and Sensor Fusion. Over 94 publications since 2007, with recent work on BEV perception, multimodal fusion, and DDoS mitigation in healthcare IoT. Grants/Advising: Accepting PhD students; collaborations include industry partnerships and cross-disciplinary research. Labs/Teams: Active in Lero and other university research centers, contributing to UN SDGs via sustainable transportation innovations.

• Water Distribution Systems
• Cybersecurity in Infrastructure
• Resilience Engineering
• +7 more

Dr. David Ayala Cabrera is an Ad Astra Fellow and Lecturer/Assistant Professor in the School of Civil Engineering at University College Dublin. He holds a PhD in Water and Environmental Engineering from the Universitat Politècnica de València (UPV, Spain), awarded Cum Laude with the Extraordinary Thesis Award 2017. His research focuses on cybersecurity, resilience engineering, and non-destructive testing (e.g., GPR) for critical infrastructure, particularly water distribution systems. He has contributed to projects like STOP-IT (H2020) and ResiWater, addressing cyber-physical threats and network vulnerability. His teaching includes modules like Civil Engineering Systems and Computer Applications in Civil Engineering. Education: B.Eng. (Sanitary Engineering, Universidad del Valle, Colombia), MSc (Hydraulic & Environmental Engineering, UPV), PhD (Water & Environmental Engineering, UPV). He also holds postgraduate certifications in university teaching and leadership. Research interests include smart city technologies, machine learning applications, and infrastructure resilience. His work spans over 49 publications, with recent focus on GPR-based leak detection, cybersecurity, and data-driven state estimation in water networks. Grants: Led projects like the EU-funded WatQual (2018–2019) and contributed to innovative tools for cyber-physical security. Awards: PhD Cum Laude, International Doctor honor, and multiple research fellowships (e.g., KIOS Research Center, Cyprus). Advising: Co-supervised PhD and Master’s theses at UPV on GPR applications and WDS analysis. His lab collaborations include ICCS (Greece), Irstea (France), and the University of Cyprus’s KIOS Center, advancing tools for infrastructure resilience and smart water management.

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

Harry NguyenView profile

Lecturer

• Reliable AI
• Multimodal Machine Learning
• Health Informatics

Harry Nguyen (Hoang D. Nguyen) is a Lecturer and Programme Director for the MSc in Computing Science at University College Cork. Affiliated with the SFI Research Centre for Data Analytics, he leads research in reliable AI systems for healthcare and sustainability. Research Focus: Develops robust ML models integrating graph networks and multimodal learning, with applications in medical diagnosis (e.g., COVID-19 detection via cough analysis) and environmental monitoring. Directs the Reliable Machine Intelligence research group. Advising: Mentors 15+ graduate students on projects spanning federated learning, sound-based diagnostics, and conversational AI for diabetes care. Secured funding from Science Foundation Ireland for CRT-AI initiatives.

Kashif Naseer QureshiView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Healthcare Systems
• +6 more

Kashif Naseer Qureshi is an Associate Professor in the Department of Electronic and Computer Engineering at the Faculty of Science and Engineering, University of Limerick, Ireland. His research focuses on the intersection of artificial intelligence, healthcare systems, blockchain technology, and wireless communication networks. His recent work explores: AI-driven healthcare architectures (tri-tier models, distributed networks) Blockchain applications in medical and smart city systems Advanced machine learning techniques for data imbalance problems Edge computing security and privacy frameworks Next-generation AI language models with ethical considerations Publications demonstrate a strong emphasis on practical implementations across IoT, cybersecurity, and smart infrastructure domains. His email contact is KashifNaseer.Qureshi@ul.ie .

• Cybersecurity
• Deep Learning
• Blockchain
• +7 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.

John KeatingView profile

Associate Professor

• Educational Technology
• Digital Humanities
• Interaction Design
• +6 more

Professor John Keating is an Associate Professor in the Department of Computer Science at Maynooth University’s Faculty of Science & Engineering. He co-founded Maynooth University’s former Institute An Foras Feasa and served as Associate Director and Acting Director. His educational background includes a PhD in Atmospheric Physics (1990, Maynooth University) MEd (2006, Open University) EdD in Science Learning and Applied Linguistics (2014, Open University) . Keating’s research spans the intersection of Educational Technology , Digital Humanities , Interaction Design , and Linguistic Analytical Methods , with a focus on Collaborative Learning , Science Learning , and Collaborative Annotation in online environments. His recent work (2020-2025) emphasizes systemic functional linguistic analyses of Online Collaborative Discourse . His 15 most recent publications address topics such as Digital Humanities methodologies Collaborative learning systems Optical and digital watermarking Chaos-based pattern recognition XML for historical databases , reflecting his interdisciplinary expertise. Scientific awards include Maynooth University Teaching Fellowship (2019) IBM Faculty Fellow (2004-6) EPSRC Visiting Fellow (1994-6) Royal Irish Academy/Royal Society Fellow (1993) . Keating leads funded projects in Digital Humanities education Collaborative annotation software Graph-based data models Virtual research platforms , with grants from Maynooth University, IRCHSS, and Government of Ireland. He co-founded Maynooth’s An Foras Feasa imaging lab (AFFIL) for hyperspectral scanning and digital humanities infrastructure. He supervises funded doctoral and masters candidates in Digital Humanities and Educational Technology.

Liliana PasqualeView profile

Associate Professor

• Cybersecurity
• Requirements Engineering
• Adaptive Systems
• +4 more

Liliana Pasquale is an Associate Professor at the School of Computer Science, University College Dublin (UCD), and a funded investigator at Lero – the SFI Research Centre for Software. She holds a PhD in Information and Communication Technology from Politecnico di Milano (2011) and has conducted research at IBM TJ Watson Research Center (2008). Her research focuses on requirements engineering, adaptive security, forensic readiness, and GDPR compliance in cyber-physical systems, with applications in transportation networks, industrial control systems, and smart spaces. **Education**: PhD in Information and Communication Technology (Politecnico di Milano, 2011); Professional Certificates in University Teaching & Learning (UCD). **Research Interests**: She investigates adaptive security mechanisms, forensic readiness for software systems, and runtime models for complex systems. Key areas include vulnerability assessment of transportation networks, stealthy attack detection in industrial systems, and human-centric cybersecurity for smart homes. **Grants & Awards**: Recipient of the Lero Research Award (2024), Runner-Up for IEEE Best Paper Award (2023), and numerous best reviewer recognitions. Active in grant initiatives such as the €1.2M 'Towards Forensic-Ready Software Systems' (2018–2019). **Teaching**: Coordinates UCD's MSc in Cybersecurity, including modules like 'Secure Software Engineering' and 'Leadership in Security'. Develops blended learning strategies for professional learners. **Professional Activities**: Serves on program committees for ICSE, SEAMS, and FSE. Co-chaired the Student Volunteer Committee for ESEC/FSE 2024 and participates in industry collaborations through UCD’s IT Strategy Group. **Lab/Teams**: Leads the SPARE research group, focusing on secure software engineering and adaptive systems. Collaborates with Lero and industry partners on cybersecurity challenges.

• Machine Learning
• Algorithm Engineering
• Combinatorial Optimization
• +3 more

Dr. Deepak Ajwani is an Assistant Professor in the School of Computer Science at University College Dublin . His research focuses on leveraging machine learning techniques for solving combinatorial optimization problems, with expertise in algorithm design, algorithm engineering, and graph algorithms. He holds a PhD from the University of Saarland, Germany, and has held postdoctoral positions at Aarhus University (Denmark) and University College Cork (Ireland). He also worked at Nokia Bell Labs (2012–2018) on learning systems for unstructured content analysis. Dr. Ajwani has received over 50 peer-reviewed publications in top-tier conferences and journals. He serves on the editorial board of the Machine Learning journal and is a frequent senior program committee member for conferences like WWW, IJCAI, AAAI, and ALENEX. He is a funded investigator at the SFI Centre for Research Training in Machine Learning (ML-Labs) . His teaching excellence has been recognized through multiple nominations for the UCD Teaching and Learning Award . His students have won the Franz Geiselbrechtinger Medal (2023, 2024) for best final-year projects in theoretical computer science. Key grants include the Irish Research Council and IBM Research Grant (2010–2012) for graph partitioning techniques in exascale computing. His research explores integrating machine learning with optimization algorithms, graph neural networks, and algorithm engineering for real-world applications.

Soumyabrata DevView profile

Assistant Professor

• Computer Vision
• Machine Learning
• Remote Sensing
• +6 more

Soumyabrata Dev is an Assistant Professor in the School of Computer Science at University College Dublin (UCD), where he leads the THEIA lab focusing on interdisciplinary research in computer vision, machine learning, and remote sensing. His work addresses challenges in climate science, environmental monitoring, solar forecasting, and healthcare. He holds a PhD from Nanyang Technological University (Singapore) and has held postdoctoral roles at Trinity College Dublin and ADAPT SFI Research Centre. His education includes a B.Tech. (summa cum laude) from National Institute of Technology Silchar, India, and a visiting doctoral experience at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. Prior to academia, he worked as a network engineer at Ericsson India (2010–2012). Research interests span image processing, environmental data analytics (e.g., air/water quality), solar energy forecasting, and AI-driven solutions for sustainable development. He collaborates globally with institutions in academia, industry, and government, aligning with UCD’s strategic goals for impactful innovation. He is an SFI Funded Investigator at ADAPT SFI and a UCD Climate Fellow (2024–2026). His scientific awards include the 2024 Stanford/Elsevier Top 2% Scientists List. He advises numerous PhD/MSc students on topics like coastal monitoring, air quality modeling, and AI for sustainability. THEIA Lab’s projects include solar irradiance forecasting, knowledge graph-based climate data platforms, and blockchain-enhanced healthcare systems. He teaches modules on Operating Systems, Wireless Sensor Networks, and Augmented/Virtual Reality. His work bridges theory and application, emphasizing real-world impact in climate action and renewable energy.