جست‌وجوی استاد و پژوهشگر

• Natural Language Processing
• Multimedia Networking
• Software Defined Systems
• +۶ مورد دیگر

Jason Quinlan is a Lecturer in the Department of Computer Science at University College Cork (UCC), Ireland. He holds a PhD in Computer Science and has extensive experience in teaching undergraduate modules such as Introduction to Programming (CS1117), Problem-Solving (CS1022), and Team Software Project (CS3305). His current role includes coordinating the CSIT SOLAS support hub for first-year students. Previously, he served as a Senior Post-Doc Researcher focusing on Intelligent Video Delivery at the Edge for 5G networks with the SFI iVID Project and CONNECT institute. Research interests span Natural Language Processing , Video Streaming Optimization , Software Defined Networking , and 5G Infrastructure . He led the development of frameworks like D-LiTE (DASH performance evaluation) and GoDASH (Go-based HAS framework). His work emphasizes QoE/QoS metrics, adaptive streaming algorithms, and network simulation tools. Key achievements include publishing over 30 peer-reviewed articles (e.g., on DASH streaming, 5G dataset analysis), securing €21,744 in research grants, and supervising 2 PhD, 15 Master’s, and numerous undergraduate students. Collaborations span institutions like UC Riverside (USA) and Université Clermont Auvergne (France). He actively contributes to conferences like ACM Multimedia Systems and IEEE LANMAN. Teaching and outreach activities include the MISL Summer of Code initiative mentoring over 60 students since 2018, and completing certifications in Project Management (PRINCE2, Scrum) and Higher Education Teaching. He has reviewed for top journals including Multimedia Systems Journal and IEEE Transactions on Multimedia, and serves on program committees for ACM MM and NetSoft conferences.

Muzaffar Raoمشاهده پروفایل

دانشیار

• Cybersecurity
• IoT Security
• FPGA-Based Security Systems
• +۳ مورد دیگر

Muzaffar Rao serves as an Associate Professor in the Department of Electronic and Computer Engineering within the Faculty of Science and Engineering at the University of Limerick, Ireland. His academic base is located at C0-065 on campus, with primary contact via muzaffar.rao@ul.ie. His research spans critical cybersecurity domains with emphasis on IoT security infrastructure , FPGA-based hardware security solutions , and operational technology protection . Specialized expertise includes zero-trust architectures for smart manufacturing, intrusion detection for autonomous systems, and aviation cybersecurity. His work bridges theoretical cryptography with industrial applications through LabVIEW-FPGA implementations. Analysis of his 15 most recent publications reveals a consistent trajectory toward real-time security processing for emerging technologies. Key thematic clusters include: (1) Hardware-accelerated cryptography for resource-constrained IoT devices, (2) Zero-trust frameworks for Industry 4.0 environments, and (3) Aviation/maritime cybersecurity solutions addressing physical-layer threats. His methodology prominently features FPGA-based prototyping and machine learning integration. Rao's technical leadership manifests in developing practical security implementations rather than theoretical frameworks. His publications consistently address implementation challenges in constrained environments, with recent work focusing on latency-sensitive applications like autonomous vehicles and aviation systems. The progression from cryptographic core development (2012-2018) to system-level security architectures (2019-2025) demonstrates evolving research maturity. His educational contributions include pioneering cyber range development for OT/IT security training, directly addressing workforce skill gaps in critical infrastructure protection. The absence of formal award mentions suggests industry-focused rather than academically decorated output, with impact measured through applied solutions rather than traditional academic recognition. Rao maintains active research in laboratory environments focused on hardware security prototyping, particularly utilizing FPGA platforms for real-world security validation. His work with LabVIEW middleware indicates strong industry collaboration potential, especially in manufacturing and transportation sectors where safety-critical systems demand robust security integration.

• Healthcare Supply Chain Management
• Service Process Innovation
• Healthcare Operations
• +۷ مورد دیگر

Eamonn Ambrose is an Associate Professor at the School of Business, University College Dublin (UCD), where he has held his position since August 2002. He also serves as an Adjunct Associate Professor at Trinity College Dublin’s School of Medicine (2018–2023). His expertise spans healthcare supply chain management, service process innovation, and global purchasing practices. He holds a BE from UCD, a DPhil from the University of Warwick, an MBA from UCD, and professional diplomas in university teaching and learning. Teaching responsibilities include coordinating modules such as Operations & Supply Chain Management , Global Operations , and Supply Chain Management in Global Food Systems . He has led initiatives like the Bachelor of Commerce (International) program and the ME(Engineering with Business) program. His research focuses on healthcare operations, emergency department effectiveness, and buyer-supplier relationships, with publications in journals like International Journal of Operations and Production Management and Journal of Supply Chain Management . He secured grants including IBM Faculty Awards (2017–2019, 2011–2026) and the OBRSS Research Support Scheme (2016–2020). Professional roles include Board Member of the European Operations Management Association and consultancy work in asset management and procurement improvement.

Omer Aliمشاهده پروفایل

مدرس

• Machine Learning
• Artificial Intelligence
• Internet of Things (IoT)
• +۴ مورد دیگر

Omer Ali is a Lecturer (Software Development) at the Department of Computing, South East Technological University (SETU) Carlow campus. His research focuses on Machine Learning, Internet of Things (IoT), and Embedded Systems, with a particular emphasis on energy optimization and sustainable technology integration. Education: PhD in Electrical Engineering (Universiti Sains Malaysia, 2006–2022) MSc in Communications Engineering (University of Manchester, 2007–2008) BSc in Computer Systems Engineering (Bahauddin Zakariya University, 2001–2005) His work explores adaptive machine learning for real-time battery state estimation, energy-efficient wireless sensor networks, and IoT middleware integration. Recent publications highlight trends in AI/IoT for sustainable smart cities and battery health monitoring in low-power electronics. Scientific Awards: 3MT Thesis Winner (2021) Ali has contributed to 23 research outputs, including a 2022 article in Sensors with 84 Scopus citations, and actively engages in peer-review activities for journals like IEEE Access. His research aligns with UN Sustainable Development Goals, particularly in education and sustainability.

Darragh O'Brienمشاهده پروفایل

استادیار

• Software Security
• Network Security
• Security Assurance
• +۴ مورد دیگر

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

Faeq Alrimawiمشاهده پروفایل

استادیار

• Cyber Physical Systems
• Security Incident
• Software Engineering
• +۵ مورد دیگر

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.

Mike Quayleمشاهده پروفایل

استاد

• Social Psychology
• Network Science
• Identity Politics
• +۷ مورد دیگر

Professor Mike Quayle is a social psychologist at the University of Limerick, holding concurrent professorships in the Department of Psychology, Centre for Research Training in Foundations of Data Science, Centre for Social Issues Research, and Lero – the Research Ireland Centre for Software. His research explores the intersection of identity politics, social networks, and computational methods. Key focus areas include the dynamics of attitudes, polarization, social identity formation, and the impact of digital media on social processes. He leads interdisciplinary teams applying network science to study opinion dynamics and group behavior. Quayle has secured significant grants including an ERC Starter Grant (2018) for the DAFINET project and an ERC Consolidator Grant (2024) for ID-COMPRESSION. These projects develop novel frameworks to understand how identity shapes social information and interaction. His work bridges social psychology with applied mathematics, physics, and computer science, leveraging tools like agent-based modeling and network analysis. Recent research highlights include mapping anti-refugee attitude networks in schools, analyzing political polarization via bipartite networks, and investigating bot influence on social media. Collaborations span institutions like the University of KwaZulu-Natal and University of Groningen. He co-developed the SurveyGraph tool and the VIAPPL experimental platform for studying virtual interaction networks. ERC Awards: Starter (2018), Consolidator (2024) Software: SurveyGraph (R/Python), VIAPPL experimental platform Key Projects: DAFINET (attitude networks), CON-NET (misinformation), SFI/Lero Deepfakes His research emphasizes real-world applications, such as combating misinformation and understanding health behaviors during crises like the early COVID-19 pandemic.

Kevin Doolinمشاهده پروفایل

پژوهشگر

• Pervasive Computing
• Internet of Things
• Smart Agriculture
• +۷ مورد دیگر

Dr. Kevin Doolin is Executive Director at the Walton Institute for Information and Communications Systems Science, part of South East Technological University (SETU), where he oversees applied and commercial research activities. He plays a central role in driving EU research participation, proposal development, and commercialization across research units. Education: EdD in Understanding Research Orientation in Academic Institutions, University of Sheffield (Awarded: 11 April 2025) Bachelor of Technology in Electronic Engineering, (Awarded: 30 September 1994) Kevin’s research focuses on Pervasive Computing , the foundation of the Internet of Things (IoT), with applications in smart agriculture, interoperability, and digital platforms. His work bridges technical innovation and research management, particularly in EU-funded projects. Recent publications emphasize digital agri-food systems, supply chain interoperability, and the twin green-digital transition in agriculture. His most recent articles reflect a strong trend toward applying computing technologies to agricultural sustainability, with emphasis on interoperability architectures, farmer adoption of smart technologies, and secure digital systems. These works are published in journals such as Computers and Electronics in Agriculture and Digital Communications and Networks , and include commissioned reports for the European Commission. Scientific Contributions: Coordinated H2020 DEMETER (€17.5M, 60 partners), focusing on agriculture supply chain interoperability Coordinated multiple EU and Enterprise Ireland projects (SOCIETIES, PERSIST, IMSARCS) Founder of Fuseami, a Walton Institute startup for event networking Active contributor to policy and innovation ecosystems Dr. Doolin advises research units and staff on grant acquisition and commercialization. He has secured significant funding from EU Framework Programs (FP6, FP7, H2020), Enterprise Ireland, and the European Innovation Council. His leadership extends to research strategy, proposal development, and cross-unit collaboration. He is involved in innovation networks such as the Community of Practice on Industry-Academia Collaboration and contributes to standards and editorial work. His external role as President of Waterford Chamber of Commerce further underscores his commitment to regional innovation and economic development.

Jerry Horganمشاهده پروفایل

مدرس پاره‌وقت

• Quantum Communications
• Quantum Algorithms
• Satellite Communications
• +۳ مورد دیگر

**Jerry Horgan** is a Part-Time Lecturer (night-time) at the Department of Computing and Mathematics within the Walton Institute for Information and Communications Systems Science . He leads the IT Services Team (Infrastructure Group) and oversees the Research Data Centre. His expertise includes designing and securing research testbeds, satellite communications, quantum algorithms, and cybersecurity. He teaches Automated Cloud Services and Networks Infrastructure. Education: Masters Degree in IT Management, Maynooth University (2013–2014) Masters Degree in Communications Software (2006–2008) Bachelors Degree in Applied Computing (1999–2002) National Certificate in Industrial Computing (1997–1999) Research Interests: Quantum Algorithms, Quantum Communications, Satellite Communications, Cybersecurity, Testbeds, and Data Centre Management. His work aligns with UN Sustainable Development Goals, particularly in advancing secure and sustainable communication infrastructure. Technical Leadership: Manages infrastructure for research testbeds, cloud services, and IoT projects. His recent articles focus on quantum communication protocols, satellite-based security systems, and post-quantum encryption for embedded devices. Grants & Labs: Secured funding for research testbeds and platforms. Active in the IT Services Team and Research Data Centre, contributing to software-defined infrastructure and cloud service deployments.

• Requirement Engineering
• User Interface Design
• E-Voting Systems
• +۳ مورد دیگر

Dr. Ken Oakley is a Senior Lecturer in the Department of Information Technology at the Faculty of Applied Sciences and Technology. His research focuses on requirement engineering, user interface design, and cybersecurity, particularly within e-voting systems and usability challenges. He has contributed to projects analyzing ransomware incidents, voting interface usability, and secure election technology design. Oakley's work aligns with UN Sustainable Development Goals related to innovation and infrastructure. Research Interests Development of secure and user-friendly voting interfaces Cybersecurity responses to ransomware attacks Classification methods for interface requirements His publications explore topics such as threat identification in library systems, usability evaluation frameworks, and requirements engineering for electronic voting systems. Oakley has been cited in peer-reviewed journals and conference proceedings, demonstrating impactful contributions to both academic and applied technology domains.

• Cybersecurity
• Deep Learning
• Blockchain
• +۷ مورد دیگر

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 Keatingمشاهده پروفایل

دانشیار

• Educational Technology
• Digital Humanities
• Interaction Design
• +۶ مورد دیگر

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.

Salim Saayمشاهده پروفایل

دانشیار

• Software Architecture Design
• Low-Code/No-Code Development
• Organizational Collaboration
• +۵ مورد دیگر

Salim Saay is an Associate Professor in the Department of Computer Science & Information Systems at the University of Limerick, and a Researcher at Lero—the SFI Research Centre for Software and R@ISE. He holds a Ph.D. in Software Engineering from Tallinn University, Estonia, and prior academic roles include Lecturer at Athlone Institute of Technology and Associate Professor at Kabul University. His research focuses on software architecture design, low-code/no-code systems, secure collaboration platforms, blockchain, and AI-driven technologies. He is funded by SFI, EC, USAID, and NATO, leading projects like the R@ISE initiative for LCNC adoption in Ireland. Education: Ph.D., Software Engineering, Tallinn University, Estonia Master's, Computer Science, University of the Western Cape, South Africa Bachelor's, Computer Science, Kabul University Research Interests: Dr. Saay integrates emerging technologies to enhance system security, scalability, and efficiency, particularly in educational and organizational contexts. Current projects include secure school collaboration platforms, blockchain-based MOOCs for sustainability, and AI-driven robotic technology research. Grants & Projects: R@ISE Project: LCNC adoption in Ireland (Funded by SFI) Blockchain for Environmental Sustainability MOOC AI-Driven Collaborative Robotics Platform Labs & Teams: Active in Lero, R@ISE, and the Limerick Digital Cancer Research Centre. Collaborates internationally on e-Learning infrastructure and NRENs (National Research and Education Networks).

Martin Hayesمشاهده پروفایل

استاد

• Systems Science
• Computer based Control
• Machine Learning
• +۱۱ مورد دیگر

Martin Hayes is a Professor in the Department of Electronics & Computer Engineering at the University of Limerick and a Professor at Lero – the Irish Software Research Centre. He currently serves as Academic lead for the HCI UL@Work project and previously held the Head of Department position from 2017 to 2021, with continuous faculty service since 1995. Education: PhD in Engineering from Dublin City University (1997) M.Eng (1992) B.Eng (1989) His research expertise spans Systems Science, Computer based Control, Machine Learning, and Artificial Intelligence, with significant contributions to Smart Manufacturing, Wireless Networks, and Robust Control. He integrates advanced control theory with AI methodologies to address challenges in manufacturing optimization, power management, and biomedical systems, emphasizing practical industrial applications and system reliability. Recent publications (2024-2025) demonstrate a concentrated focus on AI-driven industrial solutions, particularly deep learning for defect detection in remanufacturing, real-time failure prediction in additive manufacturing, and secure IoT access control systems. These works highlight his commitment to enhancing manufacturing efficiency through computational innovation and robust security frameworks. Scientific Awards: Community Service Award UL (1999) Visiting Research Fellow, University of Leicester (1999) As a core member of Lero, Hayes leads national software research initiatives including the HCI UL@Work project, developing human-centered computing solutions for workplace environments. His research directly supports UN Sustainable Development Goal 9 (Industry, Innovation and Infrastructure) through advancements in smart manufacturing and resilient systems engineering.

• Formal Methods
• Functional Programming
• Unifying Theories of Programming (UTP)
• +۷ مورد دیگر

Dr. Andrew Butterfield is a faculty member at the School of Computer Science and Statistics, Trinity College Dublin. He serves as Head of the Foundations and Methods Group and actively contributes to Lero: the Irish Software Research Centre. His research focuses on Formal Methods and Functional Programming, particularly the Unifying Theories of Programming (UTP) paradigm, with applications in clinical pathways, medical device software, and spacecraft operating systems. Current research includes developing UTP theories for shared-variable concurrency, rely/guarantee reasoning, and separation logic in collaboration with Jim Woodcock. He also explores Process Modelling Language (PML) semantics with John Noll and Anila Mjeda. His contributions feature proof-assistance tools like UTP2 Theorem Prover, UTP Calculator, and ReasonEq implemented in Haskell. Andrew leads funded projects such as ESA's RTEMS-SMP (2019) and SFI's FMHIDA (2016-2020). Past projects encompass formal verification of separation kernels, Handel-C language semantics, and NAND flash memory models. He has taught courses in Formal Methods, Functional Programming, and Concurrency, while serving on editorial and program committees including Formal Aspects of Computing.