جستجوی استاد راهنمای دانشگاهی

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.

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

Dr. Timilehin Aderinola is a Marie Curie Postdoctoral Fellow at the School of Computer Science, University College Dublin. His research focuses on applying machine learning and computer vision to analyze human movement, particularly in neurological conditions like Parkinson's disease. He holds a PhD in Information Technology from Multimedia University, Malaysia (2022), and master's and bachelor's degrees from Federal University of Technology Akure, Nigeria (2017 and 2012). Education: B.Eng. (Hons) in Electrical and Electronic Engineering, Federal University of Technology Akure (2012) M.Sc. in Computer Science, Federal University of Technology Akure (2017) PhD in Information Technology, Multimedia University Malaysia (2022) Research Interests: Machine Learning and Computer Vision Human Motion Analysis (e.g., gait analysis, fall detection) Applications in healthcare and surveillance Awards: Silver Medal (2021) for commercialization potential of PhD work Honourable Mention (2021) at NP2C poster competition Advising/Grants: Co-supervised research projects on exercise classification and human pose estimation. Engaged in peer review for conferences like ECML-PKDD and ICoICT. Labs/Teams: Active in the Insight Centre for Data Analytics at UCD, focusing on NeuroInsight Marie Skłodowska-Curie Fellowship projects analyzing mobility data for neurological patients.

• Machine Learning
• Computer Vision
• Human Motion Analysis
• +۳ مورد دیگر

Professor Suzanne Little is a Full Professor at Dublin City University's School of Computing and SFI Principal Investigator at the Insight Centre for Data Analytics. She holds a PhD from the University of Queensland and leads research in media analytics, computer vision, and machine learning. Her work develops methods for analyzing multimedia content including video analysis for surveillance, sports analytics, transportation, and medical imaging. Research focuses on: Content-based multimedia indexing and retrieval Computer vision for object/event detection in video Bias analysis in deep learning models Edge computing for video analytics Optimization of neural network architectures Her recent publications address bias mitigation in AI systems, efficient object detection methods, and novel applications of event cameras. Professor Little co-directs the SFI Centre for Research Training in Artificial Intelligence and contributes to the iForm Advanced Manufacturing Centre. She has led multiple EU projects in multimedia and big data, including the Smart Stadium IoT initiative with Croke Park. Her work has been featured in media outlets including RTE, Silicon Republic, and The Irish Times.

• Computer Vision
• Media Analytics
• Machine Learning
• +۲ مورد دیگر

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.

• Data Science
• Artificial Intelligence
• Social Semantics
• +۷ مورد دیگر

Michael McMahon is a Lecturer in the Department of Computing and Mathematics at South East Technological University (SETU). He is affiliated with the Wireless Communications & Large Scale Simulation Group, contributing to interdisciplinary research in digital education and simulation technologies. Education: Masters Degree in Digital Media & Education, University of Limerick (Awarded: 01 Jun 2010) Bachelors Degree in Computer Science, Ulster University (Awarded: 01 Jun 1992) Michael McMahon's research focuses on the intersection of digital media, e-learning, and pedagogical innovation. His work explores how hypermedia, musical intelligence, and multimedia design can enhance learning in diverse contexts, including elite sports training and language acquisition for Chinese students. He integrates technology with cognitive and practical learning theories to improve educational outcomes. His two key publications (2014, 2022) reflect a consistent interest in applying computing and media solutions to real-world learning challenges. The research spans language education, sports pedagogy, and digital learning environments, indicating a strong interdisciplinary orientation in educational technology and applied computing. Scientific Awards: No scientific awards listed. Michael McMahon advises on research within his domain, particularly in digital media and e-learning applications. While no formal grants are mentioned in the text, his involvement in peer-reviewed conference papers and research groups suggests active participation in funded or institutionally supported projects. He contributes to academic discourse through publications and collaboration within SETU's research ecosystem. He is part of the Wireless Communications & Large Scale Simulation Group, which likely engages in projects involving networked systems, simulation modeling, and educational technology development. This group provides a platform for collaborative research in large-scale digital systems with applications in learning and communication.

• Digital Media
• e-Learning
• Educational Technology
• +۷ مورد دیگر

Dr. Brian Ó Raghallaigh is an Assistant Professor in Fiontar & Scoil na Gaeilge at Dublin City University (DCU). He holds a BA (Mod.) in computational linguistics and a PhD in speech technology from Trinity College Dublin. His research focuses on digital terminology, onomastics, folkloristics, phonetics, and language technology. He is Co-Principal Investigator of the AHRC-IRC 'Decoding Hidden Heritages' project (2021–2024) and Principal Investigator of the Department of the Gaeltacht-funded 'Logainm Placenames Database of Ireland' project. Education: BA (Mod.) in Computational Linguistics (Trinity College Dublin), PhD in Speech Technology (Trinity College Dublin) Roles: Technology Manager of the Gaois research group, Module Coordinator for Irish Linguistics (LIG1004), Co-coordinator for Corpus Research (LIG1010) Publications: Authored Fuaimeanna na Gaeilge , creator of fuaimeanna.ie , and co-editor of Decoding the Oral Traditions of Scotland and Ireland . His research interests span terminology, placename studies, digital humanities, and language preservation. He leads projects like Terminologue (a cloud-based terminology platform) and collaborates on initiatives such as the EU-GA terminology project. He is active in professional organizations like SNSBI, SIEF, and CIGILT. Grants & Projects: Funded by AHRC/IRC, Department of the Gaeltacht, RIA. Key projects include Logainm.ie , Gaois surname database , and Historical Dictionary of Modern Irish . Labs/Teams: Gaois research group (focused on language technology), Terminologue (terminology management), and collaborations with the Digital Repository of Ireland (DRI).

• Digital Terminology
• Onomastics
• Folkloristics
• +۶ مورد دیگر

Hugh O'Dwyer is a Teaching Professor at Trinity College Dublin (TCD) within the Department of Electronic Engineering, where he lectures on the M.Phil in Music and Media Technology (MMT) program. He holds a Ph.D. from TCD (2021) under Prof. Frank Boland, focusing on Machine Learning applications for audio, particularly Sound Source Localization and Virtual Testing of Binaural Audio. His doctoral work included objective/subjective headphone and ambisonic microphone evaluation, alongside machine learning-based localization methods. Education: He graduated from TCD's School of Engineering with a Biomedical Engineering degree (2015), researching EEG-based musical instrument perception in the brain through his thesis. During studies, he actively participated in Trinity Orchestra and Jazz Society roles, earning a lifetime honorary membership for his contributions. Research interests span spatial audio engineering, machine learning in acoustics, and music technology education. He has published extensively with the Audio Engineering Society (AES), presenting at conferences in Helsinki, Milan, and Dublin. His work includes VR audio recording techniques, sound projector calibration, and ambisonic microphone comparisons. Outside academia, he mentors young musicians through the Suburban Sounds program and developed a CPD course in music technology for over 100 teachers during the pandemic. As a musician/producer, he has collaborated with prominent Irish artists like Hozier and Saint Sister, and his band Spies' album 'Constancy' (2018) received critical acclaim.

• Machine Learning
• Audio Engineering
• Sound Source Localization
• +۳ 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.

• Signal Processing
• Video Processing
• Bayesian Inference
• +۵ 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.

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

Dr. Gertrude Cotter is a Lecturer in the School of Education at University College Cork (UCC) , specializing in Global Citizenship and Development Education (GCDE) . She serves as Academic Coordinator of the Praxis Project , a transformative UCC initiative integrating GCDE into university-wide pedagogy, research, and policy. She also chairs UCC's Global Engagement Committee and is a key member of the Race Equality Network and ISS21 Populism and the Rise of the Far-Right Research Cluster . Education: PhD in Education (2019), UCC MA in Latin American History (1989), UCC Higher Diploma in Education (2002), UCC Research Focus: Systematic integration of GCDE in higher education, interdisciplinary global partnerships (Kenya, Palestine, Peru, Ireland), anti-racism frameworks, and creative arts methodologies. Her work employs community-linked learning, digital storytelling, and radio to address social justice, human rights, and sustainable development. Recent Publications highlight GCDE pedagogy, community-linked learning, and interdisciplinary approaches to social justice. She has secured over €450,000 in grants, including from Trócaire , Atlantic Philanthropies , and Irish Aid . Her CRAOL Distinction Award (2018) and Arts in Context Award (2015) recognize her innovative community-radio collaborations. Advising & Outreach: Collaborates with NGOs (Trócaire, Self-Help Africa, Ubuntu Network) Co-founder of Bus Stop Chat , an anti-racism training group Pioneer of digital storytelling projects for Cheshire Homes and Moving On Ireland

• Global Citizenship Education
• Development Education
• Critical Pedagogy
• +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.

• Natural Language Processing
• Multimedia Networking
• Software Defined Systems
• +۶ 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.

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

Dr. Gabriel Miro-Muntean is a Senior Lecturer at the School of Electronic Engineering, Dublin City University (DCU), Ireland, where he also co-directs the Performance Engineering Laboratory. Additionally, he serves as a Consultant Professor at Beijing University of Posts and Telecommunications (BUPT), China. His expertise lies in optimizing multimedia streaming quality and network performance across diverse environments. Education: Ph.D. in Quality-Oriented Adaptive Multimedia Streaming over Wired Networks, Dublin City University, Ireland (2003) M.Sc. in Software Engineering, "Politehnica" University of Timisoara, Romania (1997) B.Eng. in Software Engineering, "Politehnica" University of Timisoara, Romania (1996) Research Interests: Dr. Muntean’s research focuses on enhancing the quality and performance of multimedia content delivery. His work spans adaptive streaming technologies, ensuring optimal user experiences across wired and wireless networks, and developing energy-efficient networking solutions. He integrates technical rigor with practical applications, addressing challenges in heterogeneous device environments and dynamic network conditions. His editorial roles include serving as Associate Editor for IEEE Transactions on Broadcasting and IEEE Communications Surveys and Tutorials , underscoring his leadership in disseminating cutting-edge research. Active in IEEE and the IEEE Broadcast Technology Society, he contributes to advancing standards and fostering innovation in multimedia and networking domains.

• Adaptive multimedia streaming quality
• Performance of content delivery over wired and wireless networks
• Energy-aware networking
• +۲ مورد دیگر

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.

• Computer Vision
• Machine Learning
• Remote Sensing
• +۶ مورد دیگر

Dr. David Sinclair is an Associate Professor and Year Head in the School of Computing at Dublin City University, affiliated with the Dependable Systems, Software Engineering, and Security research groups. His research spans formal methods, distributed systems, real-time systems, and AI applications in strategic games. Teaching responsibilities include foundational and advanced courses: CSC1018 Logic CSC1048 Computability & Complexity CSC1098 Compiler Construction CSC1141 Concurrent Programming CSC1049 Third Year Project supervision His publications demonstrate strong focus on real-time systems, motion prediction, and immersive technologies, with recent work exploring AI-driven virtual environments and light field processing. Research consistently addresses computational efficiency and formal verification challenges.

• Formal Methods
• Distributed Systems
• Real-time Systems
• +۲ مورد دیگر