جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Pattern Recognition
• Distributed Systems
• +۳ مورد دیگر

Dr. Ruairí O’Reilly is a Lecturer in the Department of Computer Science at Cork Institute of Technology (CIT). He holds a BSc (2008) and PhD (2015) in Computer Science from University College Cork (UCC). His research focuses on artificial intelligence, pattern recognition, distributed systems, and their applications in healthcare. He specializes in developing machine learning solutions for clinical settings, such as remote health monitoring and automated decision-making systems. Notable projects include the Beats-Per-Minute (BPM) platform for health data monitoring via activity trackers and work on explainable AI (XAI) in healthcare. Education: BSc in Computer Science, University College Cork (2008) PhD in Computer Science, University College Cork (2015) Research Interests: Dr. O’Reilly’s work bridges AI and healthcare, emphasizing machine learning for clinical workflows, emotion recognition in speech, and distributed architectures for healthcare data analysis. Recent trends in his publications highlight advancements in explainable AI, medical imaging analysis (e.g., pneumonia detection via X-rays), and ethical integration of AI in clinical decision-making. Grants & Awards: No awards explicitly mentioned in the provided text. Labs/Teams: While no specific labs are named, his research contributes to interdisciplinary projects involving CIT’s Department of Computer Science and collaborations with healthcare institutions.

Rohit Vermaمشاهده پروفایل

مدرس

• Cybersecurity
• Cloud Computing
• Distributed Systems
• +۳ مورد دیگر

Dr. Rohit Verma serves as a Lecturer in the School of Informatics and Cybersecurity at Technological University Dublin (TUD), Blanchardstown campus, bringing combined expertise from academia, industry, and research. Previously, he held the position of Programme Director for master's-level cybersecurity programmes at the National College of Ireland and contributed as a postdoctoral researcher to the H2020 EU-funded TRACTION project while affiliated with DCU's Insight SFI Research Centre for Data Analytics. His academic credentials include: PhD in Computer Science and Engineering Master’s degree in Information Security Bachelor's degree in Information Technology Research focuses on cybersecurity frameworks for cloud computing and distributed systems , with specialization in autonomous adaptation for resource-constrained environments. He pioneers AI-driven security solutions while advancing service-oriented architecture principles to enhance system reliability. His work addresses critical quality-of-service challenges in modern networked applications through innovative threat-mitigation strategies. Dr. Verma teaches diverse undergraduate and postgraduate cybersecurity modules, having previously directed master's programmes. As an active researcher, he reviews for top-tier journals and serves on international conference program committees. His H2020 TRACTION project involvement provided significant research funding through European channels. He maintains strong research network ties via the Insight SFI Research Centre, collaborating on multidisciplinary initiatives that integrate data analytics with cybersecurity innovation within the TRACTION project framework.

• Composite Structures
• Pressure Vessel Design
• Variable-Stiffness Composites
• +۷ مورد دیگر

Shahrzad Daghighi is an Assistant Professor in the School of Engineering at the University of Limerick, where she conducts advanced research in composite structures and pressure vessel design. Her work bridges mechanical and aerospace engineering with a focus on innovative composite materials and structural optimization techniques. Research Interests: Her research centers on Composite Structures , Variable-Stiffness Composites , and Pressure Vessel Design for hydrogen storage and aerospace applications. She employs advanced design methods, including topology optimization, isogeometric analysis, and free-form design, to enhance structural performance under thermomechanical loading. Her work is highly interdisciplinary, intersecting materials science, energy systems, and computational mechanics. Publication Trends: Over the past five years, Dr. Daghighi has consistently published in high-impact journals such as AIAA Journal and Composite Structures , focusing on variable-angle-tow composites, bend-free pressure vessels, and thermomechanical analysis. Her research demonstrates a clear trajectory toward lightweight, high-performance composite systems for sustainable energy and aerospace applications. Scientific Recognition: Advising and Grants: While no formal students or grant details are listed, her collaborative research with prominent scholars like P.M. Weaver and G. Zucco suggests active participation in funded research projects and academic supervision. Her work likely involves graduate student mentorship and national or EU-level research funding, particularly in advanced materials and clean energy technologies. Labs and Research Teams: Dr. Daghighi is part of a dynamic research network in composite materials at the University of Limerick, likely affiliated with advanced manufacturing or aerospace research labs. Her collaborations indicate integration within a high-performance research group focused on next-generation composite structures and sustainable engineering solutions.

Perry Shareمشاهده پروفایل

استاد

• Social Robotics
• Sociology of Food and Drink
• Educational Policy and Practice
• +۲ مورد دیگر

Dr. Perry Share is a Principal Investigator at Atlantic Technological University's Health and Biomedical Research Centre (HEAL) , affiliated with the School of Business and Social Sciences and based in the Department of Business . His work bridges Social Robotics , Sociology of Food and Drink , and Educational Policy and Practice , often intersecting with care technologies and health research. Education : PhD in Social Sciences from La Trobe University (1995), focusing on historical discourse analysis of land policy in Australia. His research explores how social robotics can address care needs, analyzes food and drink distribution during crises like the COVID-19 pandemic, and studies sociocultural memory in spaces such as Irish pubs. Recent publications focus on care technologies , surplus food systems , and cultural identity . The 15 most recent articles (highlighted in social robotics , food sociology , and cultural studies ) reflect his interdisciplinary approach, combining technological innovation with societal challenges. His current projects include work on dementia care, educational policy, and social robotics. Scientific Awards : Awarded a qualification in 1995 (exact nature unspecified). Perry actively advises PhD students in social robotics , food systems , and higher education policy . He collaborates internationally, particularly in 21st-century sociotechnical research, and leads initiatives in the HEAL Research Centre.

Andrew Keaneمشاهده پروفایل

استاد

• Power Systems Planning and Operation
• Integration of Distributed Energy Resources
• Renewable Energy Grid Integration
• +۵ مورد دیگر

Andrew Keane is a Full Professor and Director of NexSys and the Energy Institute at University College Dublin (UCD). He leads research in power system planning and operation, with a focus on distribution networks, renewable energy integration, and multi-energy system co-simulation. He has held leadership roles including Head of the School of Electrical & Electronic Engineering at UCD and founded NovoGrid, a grid automation company. His research spans power electronics, voltage stability, and smart grid technologies. Key areas include Renewable energy impacts on transmission networks Green hydrogen for grid flexibility Discrete control device optimization Network topology identification Recent publications highlight trends in voltage control strategies, renewable hosting capacity analysis, and electricity-gas network interdependencies. Awards include the 2022 Industry Partnership Award, NovaUCD Licence of the Year, and the 2012 Intel Early Career Faculty Honor Program. Teaching activities at UCD include coordinating modules on Energy Climate Change & Policy Grid Engineering and Modeling Optimization Techniques Power System Optimization Grants fund his work on energy system integration, green hydrogen, offshore wind, and smart grid test beds across multiple projects from 2012 to 2026. He serves as Senior Member of IEEE and contributes to technical standards committees.

Stefan Weberمشاهده پروفایل

استاد

• Distributed Systems
• Internet of Things
• Communication Protocols
• +۷ مورد دیگر

Stefan Weber is a Professor at the Trinity College Dublin , affiliated with the School of Computer Science & Statistics . His research spans Information-Centric Networking (ICN) , Security & Botnets , and Mobile Ad hoc Networks (MANETs) , with a focus on optimizing communication in dynamic environments. Exploiting ICN for data-centric infrastructure Security challenges in distributed systems Protocol design for mobility and disconnection His recent publications address topics in networking , security , and IoT , though some interdisciplinary works touch on epidemiology and genetics . While no formal awards are listed, his collaborations include the EU FP7 N4C Project . Stefan has supervised students including Andriana Ioannou (caching in ICN), Amber Higgins (container-based honeypots), and Joseph O'Hara (network telescopes), among others.

• Robotics
• Automation
• Advanced Manufacturing
• +۳ مورد دیگر

Philip Long is a Lecturer in Automation, Robotics & Advanced Manufacturing at the Department of Mechanical & Industrial Engineering, University of Galway. He serves as a Principal Investigator in the Engineering Research Group (ERG), focusing on robotics and advanced manufacturing systems. Research Interests: Active in robotics engineering, his work spans non-prehensile manipulation, sensor fusion for obstacle detection, wrench capability analysis in parallel robots, and human-supervised operations in extreme environments. His research integrates mechanical design, control theory, and AI to enhance robotic performance. Recent Publications: His 2023 contributions include methods for state-triggered constraints in manipulation tasks, polytope-based performance metrics, and multi-sensor fusion techniques. Earlier work (2021) explores humanoid robot safety in radioactive environments. Collaborations: Collaborates with researchers like Dr. Taskin Padır (Northeastern University) and Dr. Stéphane Caro (CNRS). Affiliated with institutions in Ireland and the US.

Doireann O'Kielyمشاهده پروفایل

دانشیار

• Fluid Mechanics
• Solid Mechanics
• Mathematical Modeling
• +۱۱ مورد دیگر

Doireann O'Kiely is an Associate Professor in Applied Mathematics at the University of Limerick, where she conducts research at the intersection of mathematics and real-world physical problems. She serves as Co-Director of MACSI (Mathematics Applications Consortium for Science and Industry) and holds memberships in the Centre for Battery and Energy Materials Research, the Centre for Research Training in Foundations of Data Science, and the SSPC (Research Ireland Centre for Pharmaceuticals). Her educational background includes a BSc in Theoretical Physics from University College Dublin, an MSc in Mathematical Modelling and Scientific Computing from Oxford, and a PhD in Mathematics from the University of Oxford. O'Kiely specializes in applying mathematical modeling, particularly differential equations, to understand physical systems. Her primary research areas include fluid mechanics (viscous flow, capillary flows, fluid-structure interaction), solid mechanics (elasticity, plasticity, wrinkle mechanics), and industrial applications (glass manufacture, metal forming). She has developed significant expertise in modeling thin viscous, elastic, and plastic sheets, with applications ranging from smartphone screens to car bodies. Her work often focuses on counter-intuitive physical phenomena that can be explained and harnessed through mathematical analysis. Analysis of her recent publications reveals a strong focus on mathematical modeling of industrial processes, particularly cold rolling and metal forming, as well as fluid dynamics in porous media and crystallization processes. Her work demonstrates a consistent pattern of applying asymptotic methods and numerical techniques to solve complex physical problems with practical industrial applications, especially in manufacturing and materials science. Dr. O'Kiely actively mentors PhD students and has secured research funding through the SFI Frontiers for the Future programme. Her work with MACSI connects academic research with industrial partners across multiple sectors, translating mathematical insights into practical solutions for real-world challenges. She leads collaborative projects including the Varda (MACSI/SSPC) initiative on polymorphism in crystallization for pharmaceutical manufacturing in space, and has contributed to numerous industry case studies with companies like Medtronic, Boston Scientific, and Vistakon, addressing problems ranging from contact lens manufacturing to stent production.

• Population Balance Models
• Machine Learning
• Computational Fluid Dynamics (CFD)
• +۵ مورد دیگر

Mehakpreet Singh is an Associate Professor at the Department of Mathematics and Statistics, University of Limerick, Ireland. His research bridges mechanistic modeling with industrial applications in the dairy and pharmaceutical sectors, employing advanced computational techniques such as artificial neural networks (ANN), Discrete Element Method (DEM), and finite volume schemes. He holds a PhD in Applied Mathematics from Indian Institute of Technology Kharagpur (2015) and an MSc in Mathematics from Guru Nanak Dev University (2008). Teaching Interests: Numerical Analysis, Calculus, Engineering Mathematics Research Focus: Population balance models, machine learning for industrial processes, numerical solutions of integro-partial differential equations, and convergence analysis. His work spans analytical, semi-analytical, and computational methods for nonlinear systems. Publication Trends: Recent works (2023–2025) emphasize machine learning in battery technology, efficient finite volume schemes for fragmentation equations, and numerical methods for nonlinear boundary value problems. Key subfields include Lane-Emden equations, homotopy perturbation, and meshfree approaches. Scientific Awards: Marie Skodowska Curie Individual Fellowship Collaborations: Active in interdisciplinary research with affiliations to the Mathematics Applications Consortium for Science and Industry (MACSI). His work aligns with UN Sustainable Development Goals (SDGs) 7 (Affordable Energy) and 12 (Responsible Consumption).

Lubna Luxmi Dhiraniمشاهده پروفایل

دانشیار

• Cybersecurity
• Internet of Things (IoT)
• Machine Learning
• +۷ مورد دیگر

Lubna Luxmi Dhirani is an Associate Professor at the Department of Electronic and Computer Engineering, Faculty of Science and Engineering, University of Limerick, Ireland. Her research focuses on cybersecurity, IoT, machine learning, and smart manufacturing systems. Her work spans diverse areas including: Cybersecurity for connected and autonomous vehicles AI-driven anomaly detection in healthcare-IoT devices Quantum security applications in industrial systems Risk mitigation in cloud computing and IoT supply chains Cyber policy analysis and ethical considerations Recent publications highlight her expertise in: 5G and IoT security frameworks Digital twinning for manufacturing Cloud computing economics and quality assurance

• Aerodynamic Design
• Fluid Dynamics
• Gas Turbine Engineering
• +۴ مورد دیگر

Andrew Niven is an Associate Professor at the School of Engineering, University of Limerick. His research focuses on aerodynamic design of helicopter blades, gas turbine optimization, hydraulic pump impeller design, and multiphase flow analysis. He holds a PhD and has been active in computational fluid dynamics (CFD) applications for over three decades. His work integrates numerical simulations with experimental methods to address challenges in fluid mechanics and thermal systems. Education: Details not explicitly provided in the text, but his academic role suggests advanced degrees in mechanical or aerospace engineering. Research Interests: Aerodynamic blade design and gas turbine efficiency CFD-driven optimization of hydraulic systems Solid particle erosion analysis in fluid systems Thermal measurements via acoustic means Impeller and pump design methodologies Recent Research Trends: His publications emphasize CFD integration with experimental techniques (e.g., design of experiments), pump optimization using constant-velocity volute approaches, and acoustic-based temperature sensing for gases. These studies advance engineering solutions in aerospace, energy systems, and industrial fluid mechanics. Awards & Grants: No specific awards or grants mentioned in the provided text. Funding sources and grant details remain undisclosed. Labs & Teams: Collaborations involve interdisciplinary teams, though specific lab affiliations or team structures are not detailed here.

• Computer Science
• Human-Computer Interaction
• Mixed Reality
• +۳ مورد دیگر

Grace Dinan serves as a Principal Scientist at the Software Research Institute (SRI), specializing in computer science research with a focus on mixed reality, broadcasting technology, and 3D graphics. Her work aligns with UN Sustainable Development Goals through technological innovation in media and communication. Her core research interests include: Computer Science Human-Computer Interaction Mixed Reality Broadcasting Technology 3D Graphics Media Production Recent publications demonstrate a consistent trajectory in advancing immersive media production, examining volumetric graphics for broadcast engagement, head-mounted display integration in live workflows, and real-time 3D content creation. This research directly addresses industry challenges in media technology evolution and audience interaction. Dinan actively collaborates with industry initiatives like the IBC Accelerators program, contributing to projects such as the 2021 RT-3D Interactive Content Creation initiative and subsequent 2023-2024 progress reports. Her media presence includes coverage of Kilkenny Animated events and broadcasting technology developments, reflecting strong industry-academia engagement.

• Blockchain Technology
• Deep Learning
• Cybersecurity
• +۴ مورد دیگر

Yuhang Ye is an Assistant Lecturer in the Department of Computer and Software Engineering at the Technological University of the Shannon: Midlands Midwest. Their research focuses on blockchain technology, cybersecurity, video streaming optimization, and deep learning. Key areas include smart contract-based systems, adversarial machine learning, and network security. Research Interests: Blockchain applications (e.g., payment channels, decentralized agents), cybersecurity (e.g., backdoor attacks, anomaly detection), and video processing (super-resolution techniques). Recent work explores efficient neural architectures and defense mechanisms against adversarial AI. Publications (2021–2025) highlight contributions to blockchain scalability, video super-resolution algorithms, and AI security. Notable collaborations include studies on Ripple transaction networks and IoT security. No awards or grants explicitly listed. No student advisees identified in provided data. Research aligns with UN Sustainable Development Goals related to innovation and infrastructure (SDG 9).

• Internet of Things (IoT)
• Cyber-Physical Systems (CPS)
• Smart Manufacturing
• +۴ مورد دیگر

Dirk H J Pesch is a Professor at the School of Computer Science and Information Technology , University College Cork (UCC), and currently serves as Head of School. His research focuses on future networked systems for the Internet of Things (IoT) and Cyber-Physical Systems (CPS), with applications in smart communities, health, and manufacturing. He leads the Science Foundation Ireland-funded ADVANCE CRT and is a co-PI of the CONNECT Centre . Prior to UCC, he was at Cork Institute of Technology (now Munster Tech U), where he founded the Nimbus Research Centre. He holds a PhD from the University of Strathclyde and a Dipl.Ing from RWTH Aachen University. Research Interests include IoT/CPS protocols, system architectures, interoperability challenges, and AI-driven analysis for well-being. He has authored/co-authored over 250 publications and co-edited a book on energy-positive urban systems. His work spans conference organization (e.g., IEEE SmartComp 2025 General Chair) and industry collaborations, with €80M+ in grant funding. Key contributions include developing low-power wireless protocols (e.g., MeshMAC), smart building monitoring systems, and frameworks for IoT in energy-positive neighborhoods. His recent work explores loneliness detection via passive sensing and 6G-V2X technologies for autonomous driving. Grants & Leadership: Directed €16M of his own research grants, managed large-scale EU/Irish projects, and advised on industrial IoT implementations. His Nimbus Centre became a leader in IoT applications under his leadership. Labs/Teams: Founded Nimbus Research Centre; active in Cork Smart Gateway initiative. Supervised numerous students and researchers in interdisciplinary projects.

Alina Premrovمشاهده پروفایل

پژوهشگر ارشد

• Biogeochemical Processes
• Ecosystem Modelling
• Climate Change Mitigation
• +۳ مورد دیگر

Dr. Alina Premrov is a Research Fellow at the Discipline of Botany, Trinity College Dublin, the University of Dublin. Her research focuses on biogeochemical processes in terrestrial ecosystems, particularly peatlands, with an emphasis on greenhouse gas emissions, soil organic carbon dynamics, and climate change mitigation. She leads the EPA-funded CO 2 PEAT project, aiming to refine methodologies for reporting CO 2 removals and emissions from Irish peatlands. Prior roles include lecturing in Geography at Maynooth University and postdoctoral research on soil carbon and pesticide risk modelling. Education: PhD in Geology from Trinity College Dublin (2011), focused on nitrate leaching reduction measures in tillage farming. Postdoctoral work included contributions to the CForRep, AUGER, and SOLUM projects, advancing soil carbon stock estimation and biogeochemical modelling. Research Interests: Peatland restoration, GHG flux modelling, pesticide risk assessment, and policy-driven environmental science. Her work integrates advanced models like ECOSSE with observational data to address land use and climate impacts on ecosystems. Recent efforts focus on enhancing IPCC Tier methodologies for peatland reporting and developing tools like the miniRECgap package for CO 2 flux data gap-filling. Grants & Roles: Principal Investigator of the CO 2 PEAT project (EPA grant 2022-CE-1100). Collaborated on DAFM's PROTECTS project and contributed to ECOSSE model enhancements for drained peatlands. Her research has been published in journals like Science of the Total Environment and Geoderma. Labs & Teams: CO 2 PEAT project team at Trinity, ICARUS Department at Maynooth University. Active in interdisciplinary collaborations on ecosystem modelling and climate policy.