جست‌وجوی استاد و پژوهشگر

• Electrical Engineering
• Electronic Systems
• Signal Processing
• +۳ مورد دیگر

Paul Morrow is a Lecturer in the Department of Electrical and Electronic Engineering at the Faculty of Engineering and the Built Environment. His research focuses on areas including Flicker Noise, Audio Output systems, Power Stage optimization, and semiconductor technologies such as Complementary Metal-Oxide-Semiconductor (CMOS) and chopper circuits. His work also explores feedback bit mechanisms and applications in television engineering. While no specific educational background, grants, or lab affiliations are detailed in the provided text, his research fingerprint highlights a specialized focus on analog circuit design and signal integrity in electronic systems. No awards, advised students, or published articles are listed here.

Saleema Pandaمشاهده پروفایل

استاد

• Nonlinear Finite Element Analysis
• Structural Engineering
• Granular Flow Dynamics
• +۳ مورد دیگر

Saleema Panda is a Professor in the Department of Civil Engineering & Construction at Atlantic Technological University (ATU) Sligo, Ireland. She specializes in structural dynamics, nonlinear finite element analysis, granular flow mechanics, and earthquake engineering. Her work bridges computational methods with practical applications in resilient infrastructure design and material science. Education: PhD in Nonlinear Finite Element Analysis (National Institute of Technology Rourkela, 2019). She has authored over 13 peer-reviewed articles addressing topics such as seismic resilience, granular segregation control, and advanced finite element methodologies. Research interests focus on: (1) Dynamic behavior of stiffened plates under extreme loads (2) Granular flow dynamics in industrial systems (3) Soft computing techniques for seismic prediction (4) Sustainable materials innovation. Notable contributions include hybrid TMD-TLD systems for MDOF structures and recycled plastic-based acoustic materials. Collaboration highlights include granular flow studies with experts like D.S. Tan, and structural dynamics research with A. Pandit and others. Active in PhD supervision and has contributed to 49 citations with an h-index of 49. Labs/Teams: Engaged in computational mechanics and granular materials research groups at ATU Sligo.

• Wearable Sensors
• Artificial Intelligence
• Functional Testing
• +۳ مورد دیگر

Vini Vijayan is an Assistant Lecturer in the Department of Computing at Letterkenny Institute of Technology. Their research focuses on wearable sensor technology, artificial intelligence applications in functional testing, and pattern recognition techniques in healthcare monitoring. Key contributions include developing AI-driven methods to analyze motion data from wearable devices for medical diagnostics. Research interests revolve around the intersection of wearable technology, data analytics, and healthcare innovation. Notable work includes a comprehensive review of wearable devices in connected health systems, cited 245 times, which highlights critical data collection considerations. Publications demonstrate a focus on practical applications of AI in clinical settings, particularly in automating functional movement assessments. Collaborations span cross-disciplinary teams involving engineering and medical professionals, as evidenced by co-authored works with institutions like the Institute of Electrical and Electronics Engineers. Currently contributes to advancing smart healthcare systems through real-time wearable sensor data interpretation without explicit mention of grants or labs in the provided materials.

• The current politics of Iran
• authoritarianism and democratization
• civil society and advocacy NGO
• +۱ مورد دیگر

Mohsen Moheimany is a PhD candidate in Political Science and International Relations at Dublin City University (DCU), Ireland. His research focuses on civil society and political participation in Iran, particularly examining the role of advocacy NGOs within the hybrid regime structure of the Islamic Republic. He previously served as a Tutor for the 'Research Methods' module for first-year International Relations students at DCU (2013/2014). His academic background includes an MA in Public Policy from the University of Nottingham (2012) and a BA in Political Science from the University of Tehran (2010). His research explores how political opportunities for NGOs vary across government levels, policy sectors, and presidential ideologies in Iran. Key areas of study include women’s rights and environmental protection NGOs, analyzing their policy influence through case studies spanning the Khatami and Ahmadinejad presidencies. He argues that Iran’s hybrid regime creates distinct policy networks that constrain or enable advocacy efforts depending on contextual factors. Moheimany’s publications address Iran’s civil society dynamics, authoritarianism, and comparative political movements (e.g., Turkey). He has presented at conferences such as BRISMES and contributed to outlets like Affari Internazionali and the Middle East Institute. His work emphasizes methodological triangulation to navigate Iran’s challenging research environment.

• Surface Science
• Material Science
• Lithography
• +۳ مورد دیگر

David Sutton is a Lecturer in the Department of Applied Science at the Faculty of Applied Sciences and Technology. His research focuses on surface science and materials engineering, with expertise in anodization processes, lithography, and semiconductor characterization. Key research interests include the study of nanoporous materials, surface imaging techniques, and dry etching methodologies. His work often involves materials like aluminum oxide and focused ion beam applications. Despite having only one published conference paper documented here (2004), his research demonstrates early contributions to semiconductor material modification through electrochemical methods. No awards, grants, or student advisement records are explicitly mentioned in the provided text.

Yan Jiangمشاهده پروفایل

پژوهشگر

• Wastewater treatment
• Biowaste management
• Biorefinery
• +۲ مورد دیگر

Dr. Yan Jiang is an academic in the Department of Environmental Science at ATU Sligo, specializing in wastewater treatment, biowaste management, and sustainable biorefinery processes. His research focuses on mitigating greenhouse gas emissions through life cycle assessment and enhancing bioenergy recovery from agricultural waste. With a Chartered Engineer certification from Engineers Ireland, he actively contributes to UN Sustainable Development Goals related to environmental protection and resource efficiency. His work emphasizes anaerobic co-digestion of pig manure and food waste, exploring biochar's stimulatory effects, pathogen inactivation, and system stability. He has published extensively on topics such as methanogenic pathway dynamics, microbial community interactions, and the economic viability of on-farm biowaste systems. His research not only addresses environmental challenges but also bridges gaps between sustainable agriculture and renewable energy production. Key Projects: Dry anaerobic co-digestion optimization, pathogen elimination in biowaste processing, and life cycle assessment of biorefinery systems. Professional Membership: Chartered Engineer (Engineers Ireland). Contributions: Over 20 peer-reviewed articles, with a focus on advancing sustainable waste-to-energy solutions.

• Deep Learning
• Cybersecurity
• Smart Manufacturing
• +۳ مورد دیگر

Iram Arshad is a Research Engineer at the Technological University of the Shannon: Midlands Midwest, specializing in cybersecurity and deep learning applications. Their work addresses critical challenges in smart manufacturing, adversarial machine learning, and data security. Research contributions include frameworks for detecting backdoor attacks in deep neural networks and methodologies for enhancing transparency in technology education research. Arshad's expertise aligns with UN Sustainable Development Goals related to industry innovation and infrastructure. Education: Doctoral degree from Technological University of the Shannon (2024) Key research interests focus on backdoor attacks, deep learning model vulnerabilities, and Industry 4.0 cybersecurity. Recent work explores runtime data-free attack methods and big data testing challenges. Arshad has collaborated internationally on projects addressing adversarial machine learning and educational research transparency.

• Biofuel Engineering
• Biorefineries
• Renewables
• +۶ مورد دیگر

Anthonia O'Donovan is a Lecturer in the Department of Sport, Exercise & Nutrition. Her research focuses on biofuel engineering, biorefineries, and sustainable enzyme production using waste materials. She has contributed to studies on pretreatment strategies for biomass conversion, including acid pretreatment and solid-state fermentation. Her work integrates environmental science, microbiology, and biotechnology to address renewable energy challenges. Recent research highlights include enhancing bacterial enzyme production from agricultural wastes like mango seeds, banana peels, and potato peels, as well as exploring stress-tolerant plant growth-promoting bacteria. Collaborations span topics such as one-pot catalysis for biofuels and natural nutrient media optimization. No scientific awards or grants are explicitly mentioned. Advising and lab details are not provided in the text.

• Environmental Science
• Marine Biology
• Aquaculture
• +۳ مورد دیگر

Colin Hannon is a Senior Research Fellow and Principal Investigator at the Marine and Freshwater Research Centre (MFRC), affiliated with the Department of Natural Resources & The Environment at the National University of Ireland, Galway. His research focuses on marine environmental science, aquaculture sustainability, and ecological risk assessment. Key areas include microplastic pollution, trace metal bioaccumulation, and the ecological impacts of human activities on marine organisms like oysters, sea urchins, and abalone. Recent work highlights include studies on geographic patterns of microplastics in the Mediterranean and Atlantic, analysis of oyster aquaculture practices across the Atlantic, and assessments of sea urchin restocking efficacy. Hannon collaborates internationally, with projects addressing environmental risk, food safety, and sustainable fisheries management. His contributions span peer-reviewed articles (9 listed), with notable citations in environmental pollution and aquaculture journals. Research trends emphasize interdisciplinary approaches to marine conservation and aquaculture innovation, blending ecological, economic, and technological perspectives. Work on trace metals in the plastisphere underscores emerging environmental risks, while studies on species like Paracentrotus lividus and Haliotis tuberculata advance sustainable practices in fisheries and aquaculture.

• 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
• Wireless Sensor Networks
• Quality of Service
• +۳ مورد دیگر

Dr. Robert Stewart serves as a Lecturer in the Department of Computer and Software Engineering within the Faculty of Engineering and Informatics. With an h-index of 5 and 83 citations according to Scopus, his research spans from 2003 to 2017, focusing on networked systems with particular expertise in Internet of Things (IoT), Wireless Sensor Networks (WSN), and Quality of Service (QoS) for real-time applications. His academic contributions demonstrate sustained engagement in solving critical communication infrastructure challenges. Stewart's research interests converge on technical optimization of IoT and WSN frameworks, with significant emphasis on precision agriculture applications. He has pioneered dynamic management systems using K-means machine learning for agricultural IoT, developed propagation models for wireless signal behavior in farm environments, and engineered resource allocation techniques to mitigate interference in mobile sensor networks. His research fingerprint highlights dominant expertise in Quality of Service (100%), Wireless Sensor Network (90%), and Internet-Of-Things (49%), reflecting a cohesive trajectory toward enhancing network reliability in resource-constrained operational settings. These efforts directly support UN Sustainable Development Goals for sustainable agriculture and resilient infrastructure development. Analysis of his 2016-2017 publications reveals a strategic focus on machine learning integration and protocol optimization for agricultural IoT systems. Key trends include using K-means clustering for dynamic resource management, developing propagation models for precision agriculture signal transmission, and optimizing coordinator functionality in Personal Area Networks to enhance QoS. His work demonstrates progressive sophistication in addressing channel interference, traffic differentiation, and duty cycle adaptation within IEEE 802.15.4 networks, establishing a clear research trajectory bridging theoretical networking principles with practical agricultural technology implementations.

• Robotics
• Automation
• Deep Learning
• +۴ مورد دیگر

Waqar Shahid Qureshi is a Lecturer in Robotics and Automation at the Department of Mechanical & Industrial Engineering, National University of Ireland, Galway. His research focuses on robotics, automation, deep learning applications in agriculture and infrastructure, and cyber-physical systems. He has published extensively in journals like Automation in Construction and Precision Agriculture, with notable work on pavement condition rating using deep learning and crop classification systems. His research has garnered 1,136 citations and an h-index of 17. Key research areas include: Pavement engineering and infrastructure maintenance Deep learning methodologies for agriculture (crop/weed classification, drone-based monitoring) Cyber-physical system optimization in industrial settings Image processing for agricultural automation Recent publications emphasize smart agriculture solutions and infrastructure health monitoring, reflecting his interdisciplinary approach to solving real-world engineering challenges.

Meghann Drury-Groganمشاهده پروفایل

پژوهشگر

• Agile Software Development
• Decision-Making
• Cognitive Artifacts
• +۳ مورد دیگر

Meghann Drury-Grogan is the Head of the Department of Enterprise and Technology, focusing on interdisciplinary research at the intersection of Computer Science and Psychology. Her work explores decision-making processes, cognitive artifacts, and risk behavior, with a particular emphasis on agile software development and prospect theory. Fields of Interest: Agile Software Development, Decision-Making, Cognitive Artifacts, Prospect Theory, Risk Behavior, Authority in Resource Allocation Her research spans 2009–2021, with notable contributions to understanding team cognition in agile environments and the influence of prospect theory on resource allocation. Despite an h-index of 61 and 121 Mendeley readers, no scientific awards or student mentoring details are explicitly documented in the scraped text.

• Advanced Manufacturing
• Materials Science
• Control Systems
• +۳ مورد دیگر

Mandana Kariminejad is a Post Doctoral Researcher in the Department of Mechatronic Engineering at Atlantic Technological University, Ireland, conducting research within the Precision Engineering Materials and Manufacturing Research Centre (PEM Research Centre). She completed her PhD in Engineering and Technology at the same institution under Marion McAfee's supervision, awarded on October 31, 2024. Her doctoral research focused on mechanical engineering and machinery with specialization in control systems, optimization, sensing technologies, 3D printing, digital twin applications, and injection moulding processes. The PhD work directly contributed to sustainable manufacturing methodologies through advanced process engineering. Dr. Kariminejad's research spans advanced manufacturing systems with particular emphasis on injection moulding innovation, additive manufacturing techniques (including laser powder bed fusion), and real-time process monitoring using surface acoustic wave sensors. Her work integrates digital twin technology for production optimization and develops gradient density lattice structures to achieve significant mass and energy reductions in manufacturing tooling. These contributions align with UN Sustainable Development Goals for sustainable industrialization. Analysis of her 13 research publications (2021-2025) reveals a concentrated research trajectory in sustainable manufacturing, with recent breakthroughs in metal additively manufactured injection mould tooling featuring embedded sensing capabilities and gradient density lattice structures. Her 2025 review on sodium-ion battery manufacturing demonstrates expanding expertise into energy storage systems, highlighting cross-disciplinary applications of AI and advanced printing methods. Active within the PEM Research Centre ecosystem, she collaborates on interdisciplinary projects focused on precision engineering and sustainable materials processing. Her research outputs show accelerating impact with an h-index of 11, reflecting growing influence in manufacturing engineering despite her early-career status. The centre provides critical infrastructure for her experimental work on process control and advanced material applications.

John Houlihanمشاهده پروفایل

مدرس

• Photonics
• Optical Metrology
• Quantum Information
• +۴ مورد دیگر

Dr. John Houlihan is a Lecturer in the Department of Science Optics Research Group at South East Technological University (SETU). His research focuses on photonics, quantum computing, and semiconductor science, with a strong emphasis on optical metrology and quantum dot systems. He holds a PhD and BSc (Hons) in Physics from University College Cork (1998–2002 and 1994–1998, respectively), followed by postdoctoral research at UCC (2002–2006). Education: PhD in Physics, University College Cork (1998–2002) BSc (Hons 1st Class) in Physics, University College Cork (1994–1998) His research interests include quantum information, optoelectronics, and semiconductor materials. He has led projects such as Optifuse (2010–2012) and Spatial Profiling of Quantum Dot Lasers (2008–2010), focusing on optical isolators and semiconductor laser dynamics. His work contributes to UN Sustainable Development Goals related to innovation and infrastructure. Key areas of research output include quantum dot dynamics, semiconductor optical amplifiers, and Fourier transform spectrometers. He actively supervises PhD students and maintains a strong record of peer-reviewed publications (h-index 16, 889 citations). Dr. Houlihan is affiliated with the Optics Research Group and collaborates on projects involving quantum dot lasers and optoelectronic devices.