جست‌وجوی استاد و پژوهشگر

• Cloud Computing
• DevOps
• Infrastructure as Code
• +۷ مورد دیگر

Ruth Lennon is a Lecturer in Computing at the Department of Computing in Donegal, Ireland. She actively contributes to computer science education, focusing on curriculum development, gender diversity in computing, and intercultural learning. Her research bridges academic and industry practices in cloud computing, DevOps, and infrastructure security. External Roles: ISO/IEC JTC 1/SC 38/WG 6 Convenor, External Examiner at Munster Technological University, and former roles at Galway-Mayo Institute of Technology and Dundalk Institute of Technology. Research Focus: Cloud computing, DevOps best practices, and educational innovation are central to her work. She explores statistical models for student success and security frameworks for infrastructure-as-code deployments. Scientific Awards: ACM History Committee Fellowships (2022) ACM SIGPLAN Student Research Competition Prize (2005) IEEE SA Emerging Technology Award (2022) IEEE Volunteer Leadership Training (VoLT) Program - 2nd Prize (2024) Masters Teacher of the Year 2024 Finalist (2024) Conference Leadership: She chairs events like the IEEE UK and Ireland International Leadership Summit (2025), ISO/IEC JTC 1/SC 38 Plenary (2025), and the ACBSP Region 3 Conference (2024). Her work spans collaborations across Western Europe and North America.

Kevin Nolanمشاهده پروفایل

پژوهشگر

• Fluid Dynamics
• Aerosol Transmission
• Medical Engineering
• +۵ مورد دیگر

Dr Kevin Nolan is a Researcher at the UCD School of Mechanical and Materials Engineering , University College Dublin, specializing in fluid dynamics , aerosol transmission , and medical engineering . His work spans surgical safety , renewable energy systems , and microfluidic technologies , with a focus on real-world applications like infection control and wind turbine aerodynamics . Recent research includes modeling surgical smoke leakage , developing standards for face coverings , and analyzing wind turbine blade erosion using advanced fluid dynamic techniques. Collaborations with Mater Hospital , Cisco Systems , and NUI Galway highlight the interdisciplinary impact of his work. Key contributions: Schlieren optical technique for visualizing airflow, European standard development for community face coverings Current projects involve IoT-based air quality monitoring , 3D facial mapping for mask design , and reducing dead spots in air purification Publications address gas leaks in laparoscopy , reusable cloth mask efficacy , and flow friction dynamics , with a strong emphasis on computational fluid dynamics (CFD) and practical mitigation strategies across medical and engineering domains.

Joseph Timoneyمشاهده پروفایل

استاد

• Audio Signal Processing
• Musical Sound Synthesis
• Digital Audio Watermarking
• +۳ مورد دیگر

Joseph Timoney is a professor at the Department of Computer Science , Maynooth International Engineering College , Maynooth University. He teaches undergraduate programs in Computer Science and Music Technology, with expertise in audio signal processing, musical sound synthesis, and digital modeling of analog subtractive synthesis. His research spans sound synthesis algorithms, audio watermarking, and ubiquitous music ecosystems.

• Performance Engineering
• Telecommunication Systems
• Enterprise Software
• +۳ مورد دیگر

John Murphy is a Full Professor at the School of Computer Science, University College Dublin. He holds academic positions as an IBM Faculty Fellow and Fellow of multiple professional organizations, including the Institution of Engineering and Technology and Engineers Ireland. His research focuses on Performance Engineering, Telecommunication Systems, and Middleware, with a strong emphasis on cloud computing, distributed systems, and network optimization. Education: B.E. (Electronic Engineering) from University College Dublin (1988), M.Sc. (Electrical Engineering) from California Institute of Technology (1990), and Ph.D. (Electronic Engineering) from Dublin City University (1996). Research Interests: His work spans Performance Engineering, Telecommunication Systems, Enterprise Software, Middleware, Mobile Networks, and Queueing Theory. Notable contributions include energy-efficient cloud resource management and network-aware scheduling in data centers. Publications: Over 200 peer-reviewed articles, including recent work on intelligent computing in IoT, energy-efficient VM mapping, and load balancing in wireless networks. His research trends emphasize cloud optimization, distributed systems performance, and smart city infrastructure. Awards: Recognitions include the Real Time Correlation Engine award and prestigious fellowships. He has supervised 24 PhD students and secured over €9.5M in research grants. Teaching: Coordinates modules on Computer Networking, Databases, and Programming. He advocates for foundational learning to foster adaptability in students. Grants: Includes Horizon 2020 projects like NEO-QE and PRTLI grants for SimSci. Collaborates with industry partners for applied research. Labs: Leads the Performance Engineering Laboratory, advancing research in distributed systems and network performance.

• Volcanology
• Structural Geology
• Geophysics
• +۴ مورد دیگر

Eoghan Holohan is an Associate Professor in the School of Earth Sciences at University College Dublin (UCD). His research focuses on gravity-driven deformation processes, including calderas, sinkholes, and volcanic systems, with a strong emphasis on fieldwork, remote sensing, and numerical/experimental models. He holds a BA in Natural Science (2002), a Diploma in Statistics (2004), and a PhD in Geology (2008) from Trinity College Dublin. Prior roles include Assistant Lecturer at UCD (2006–2007), postdoctoral fellowships (2007–2012), and a research scientist position at GFZ Potsdam (2012–2015). Since 2016, he has been affiliated with UCD, advancing his academic career to his current rank. Research interests span volcanic edifice evolution, karst landscape dynamics, peatland geohazards, and structural tectonics. He employs methods like satellite InSAR, drone photogrammetry, and discrete element modeling. Notable contributions include studies on the Bárdarbunga caldera collapse (Iceland), Dead Sea sinkholes, and lava dome morphology. Holohan coordinates courses in structural geology, digital geology, and remote sensing, supervising undergraduate and graduate projects. His grants include funding for karst subsidence detection, sinkhole machine learning, and Atlantic geohazard risk management. Scientific accolades include Exceptional Reviewer recognition (Geosphere 2017), AGU invited talks (2013, 2018), and the Bob Hunter Memorial Prize (2005). He actively reviews for journals like Journal of Volcanology and Geothermal Research and participates in international collaborations across multiple countries.

• Bioinformatics
• Artificial Intelligence in Healthcare
• Digital Health
• +۷ مورد دیگر

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.

Denise Earleمشاهده پروفایل

مدرس

• Data Analytics
• Statistics
• Educational Technology
• +۴ مورد دیگر

Denise Earle is a Lecturer in the Department of Sports, Media, and Marketing at South East Technological University (SETU) since 2017. She holds a PhD in Statistics from Maynooth University (2010) along with a BA and MA in Mathematics. Previously, she worked as a Lead Data Analyst at Paddy Power for five years. Her academic leadership includes serving as Programme Director for the BSc (Hons) Digital Marketing with Analytics since 2019. External roles include PhD Co-Supervisor at Atlantic Technological University (2023–present), External Examiner at Technological University of the Shannon (2020–2024), and member of the StudentSurvey.ie Analysis & Impact Group (2020–2021). Her research focuses on data analytics, statistical education tools, and their applications in sports and marketing. She co-developed the StatsSkills web app, a platform for systematic statistics skill development, highlighted in multiple conference presentations (2023–2024). Key research areas include self-efficacy in learning, deliberate practice frameworks, and performance analysis in Gaelic Football. Denise organizes workshops on Text & Sentiment Analysis (2025) and Statistical Analysis Support Sessions (2024–2025). Her work bridges statistical methodologies with pedagogical innovation, emphasizing open-access tools and collaborative research.

Erivelton Nepomucenoمشاهده پروفایل

دانشیار

• Computer Arithmetic
• Chaotic Cryptography
• Green Computing
• +۶ مورد دیگر

Erivelton Nepomuceno is an Associate Professor at Maynooth University's Faculty of Science & Engineering , affiliated with the Hamilton Institute and Centre for Ocean Energy Research . He holds a PhD in Electrical Engineering from UFMG (2005) and has held visiting positions at Imperial College London, Saint Petersburg Electrotechnical University, and City, University of London. Educational Background BEng, UFSJ (2001) PhD, UFMG (2005) Research Interests Computer Arithmetic Chaotic Cryptography Green Computing Ocean Energy Sustainable Circuits and Systems System Identification His recent publications focus on computational chaos, reinforcement learning applications, and sustainable energy systems. His work bridges chaos theory , cybersecurity , and renewables , with a strong emphasis on energy transition and finite-precision arithmetic challenges. Scientific recognitions include Senior Member of IEEE and Chair-Elect of IEEE Technical Committee on Nonlinear Circuits and Systems . He has served as Deputy Editor-in-Chief for multiple IEEE journals and currently holds associate editor roles. Erivelton supervises 5 active PhD students and has advised 7 PhD completions. His funded projects include studies on hybrid wind-wave energy control (€587,975.18), green computing (€3,700), and chaotic system simulation (€7,500). He leads the Hamilton Institute's research group on computational chaos and sustainable systems.

• 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.

Stephen Farrellمشاهده پروفایل

پژوهشگر ارشد

• Security
• Delay Tolerant Networking
• Cryptography
• +۵ مورد دیگر

Stephen Farrell is a Research Fellow at Trinity College Dublin's Computer Science Department within the School of Computer Science and Statistics. He is a member of the Distributed Systems Group (DSG) and has been actively contributing to Internet security research and standardization since the 1980s. His work bridges academic research, practical implementation, and Internet governance through leadership roles in major standardization bodies. Farrell earned his PhD from Trinity College Dublin in 2008 with a dissertation on delay-tolerant networking protocols, following a Joint Honours degree in Mathematics and Computer Science from University College Dublin in 1986. His educational background established the foundation for his interdisciplinary approach to network security problems. His research focuses on Internet security architecture, with particular expertise in cryptographic protocols, Public Key Infrastructure, and delay-tolerant networking for challenged environments. A significant portion of his recent work has addressed privacy-preserving technologies, especially related to pandemic response systems. Farrell approaches security with a pragmatic perspective that prioritizes real-world deployment even when purity must be compromised for practicality. His publication record shows a consistent trajectory from foundational security work to applied research addressing contemporary challenges. The most recent publications demonstrate his ability to pivot research focus to address urgent societal needs, as evidenced by his rapid response to the pandemic with the TACT project analyzing contact tracing technologies. Co-author of RFC 7258 'Pervasive Monitoring is an Attack' that fundamentally shifted Internet security priorities Former IETF Security Area Director (2011-2017) overseeing numerous security standards Member of the Internet Architecture Board (2019-2021) Editorial Board Member of IEEE Internet Computing magazine Expert Advisor to Messaging, Malware and Mobile Anti-Abuse Working Group Farrell supervises graduate students, having mentored approximately ten MSc dissertations plus a PhD (Alex McMahon) and MSc by Research (Aidan Lynch). His grant portfolio includes EU-funded projects like STREWS, N4C, and SAIL, as well as funding from organizations like the Open Technology Fund. He has maintained consistent external funding throughout his academic career, often bridging the gap between research and practical implementation. As co-chair of multiple IETF working groups (including OpenPGP and LAKE) and the IRTF's Usable Formal Methods Research Group, Farrell plays a significant role in shaping Internet standards. His leadership in the TACT project during the pandemic demonstrated his ability to rapidly mobilize research efforts to address urgent public health needs through the Testing Apps for COVID-19 Tracing initiative.

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

• Data Communications
• Network Security
• Software-Defined Networking (SDN)
• +۴ مورد دیگر

Dr. Martin Collier is an Associate Professor in the School of Electronic Engineering at Dublin City University and director of the Entwine Centre, focusing on IoT infrastructure. His research spans data and computer communications, network security, energy-efficient networking, and SDN/NFV. He leads projects like Horizon 2020's INPUT and FP7's ECONET, collaborating with IBM on data centre network design. His work emphasizes switch fabrics, green routers, and optical technologies. Research Interests: Switching/Routing, SDN, NFV, IoT, Energy Efficiency, Data Centre Networks. Recent Projects: INPUT (SDN/NFV personal cloud services), ECONET (energy efficiency), and IBM-funded data centre design. Laboratory activities include NetFPGA-based testing and SDN implementations. Teaching: Modules include Broadband Networks (EE552), Network Programming (EE562), and Communications Theory (EE450). Supervises final-year and MEng projects. Labs/Teams: Switching & Systems Lab (NetFPGA testbed), Entwine Centre (IoT infrastructure).

• Signal Processing
• Video Processing
• Bayesian Inference
• +۵ مورد دیگر

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.

• 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.

• Machine Learning
• Explainable AI
• Healthcare Data Analytics
• +۶ مورد دیگر

Dr. Alison O'Connor is an Assistant Professor at the University of Limerick , affiliated with the Department of Computer Science & Information Systems , Ageing Research Centre , and Lero – the Irish Software Research Centre . Her research bridges machine learning with mechanics of materials and healthcare data analytics , focusing on applications in structural integrity , Industry 4.0 , and medical informatics . Education : PhD in Mechanical Engineering (Imperial College London, 2015-2019), Graduate Diploma in Advanced Materials (2008-2009), and BSc in Aeronautical Engineering (2004-2008). Her research interests span explainable AI for healthcare decision-making, finite element analysis in nuclear steel integrity, and cold rolling process modeling . Recent publications highlight her work on agent-based patient pathway simulations and MRI texture analysis of traumatic brain injury. She contributes to journal peer-review and university committees as a core member. Publication trends show dual expertise: 50% in structural integrity and materials science, 50% in neuroscience and medical diagnostics . Key subfields include dopamine regulation , microdialysis techniques , and computational medicine .