جستجوی استاد راهنمای دانشگاهی

Katarina Domijanمشاهده پروفایل

دانشیار

• Bayesian applications to data analysis
• Machine learning
• Statistical computing
• +۳ مورد دیگر

Katarina Domijan is an Associate Professor in Statistics at the Department of Mathematics and Statistics, Maynooth University, Ireland. She holds a PhD in Statistics from Trinity College Dublin (2008) and has been affiliated with Maynooth University since 2008, transitioning from Lecturer/Assistant Professor to her current role in 2024. Her academic career includes editorial roles as Associate Editor for The R Journal (2021–present) and the Journal of Computational and Graphical Statistics (2015–2024). Research Interests focus on Bayesian methods for high-dimensional data, particularly in classification problems. She specializes in feature selection and model visualization, with applications spanning agricultural data analysis (e.g., hyperspectral imaging for lactose prediction), medical diagnostics (e.g., sepsis and cancer detection), and space physics (e.g., Saturn Kilometric Radiation classification). Her work bridges theoretical statistics with real-world challenges, including socio-economic studies and forensic science. Key Research Areas Bayesian statistical inference Machine learning for large feature spaces Statistical computing and model interpretability Data visualization and chemometrics Scientific Contributions include leading projects like VistaMilk Phase II (2024–2030, €152,300) and Measuring Carbon Sequestration (2024–2028, €174,788.90). Her 15 most recent publications highlight advancements in ensemble modeling, spatial statistics, and medical diagnostics. Scientific Awards Associate Editor, The R Journal (2021–present) Associate Editor, Journal of Computational and Graphical Statistics (2015–2024) Student Supervision includes PhD and MSc graduates such as Dr. Bruna Wundervald (2024) and Dr. Mark O’Connell (2017). She also collaborates with researchers across disciplines, including Dr. Nadim Akasheh in food hypersensitivity studies.

Le-Nam Tranمشاهده پروفایل

پژوهشگر

• Wireless Communications
• 5G/6G Network Optimization
• Signal Processing
• +۴ مورد دیگر

Dr. Le-Nam Tran is a researcher at the UCD School of Electrical & Electronic Engineering , University College Dublin. His work focuses on optimizing the last hop of 5G/6G wireless networks through mathematical programming, with emphasis on energy efficiency, interference management, and security against eavesdropping. Develops low-cost, low-complexity transmission techniques Projects supported by Science Foundation Ireland Career Development Award Author of over 80 peer-reviewed publications Research Keywords: Wireless Communications Network Security Signal Processing Energy-Efficient Systems Beamforming Optimization Interference Mitigation

• Comparative Politics
• Electoral Systems
• Political Parties
• +۳ مورد دیگر

Thomas Daubler is an Assistant Professor at University College Dublin's School of Politics and International Relations, specializing in Comparative Politics, Electoral Systems, and Political Behavior with a focus on European democracies. He holds a PhD from Trinity College Dublin and a Postgraduate Certificate in Higher Education from the London School of Economics. His research integrates applied statistical modeling to analyze parliamentary behavior, candidate selection, and policy representation. University College Dublin: Assistant Professor (2020–present), Director of Research (2021–2023) University of Mannheim: Postdoctoral Researcher (2012–2019) London School of Economics: Fellow in European Politics (2011–2012) His work spans electoral systems' impact on political accountability, gender equality in candidate selection, and voter behavior in preferential-list systems. Articles highlight trends in Electoral Reform , Party Politics , and Policy Representation across Belgium, Czech Republic, Germany, Ireland, Sweden, and Switzerland. Grants include the Ad Astra Start-Up and DFG-funded research on personalized vote dynamics. Professional roles involve extensive journal reviewing and grant assessment .

Szymon Urbasمشاهده پروفایل

مدرس

• Bayesian Modelling
• Computational Statistics
• High-Dimensional Data Analysis
• +۲ مورد دیگر

Szymon Urbas is a Lecturer in Statistics at the Department of Mathematics and Statistics, Faculty of Science & Engineering, Maynooth University (2024–present). He previously worked as a Postdoctoral Researcher at University College Dublin (2022–2024). His academic background includes a PhD (2018–2022) and MRes (2017–2018) in Statistics from Lancaster University, and a BSc in Mathematical Science from the University of Galway (2013–2017). Research Interests Bayesian modeling with latent variables Computationally intensive methods (Hamiltonian Monte Carlo, particle filters) Applications in agri-food sector and clinical trial operations Variational inference in machine learning High-dimensional data with hierarchical correlations Recent publications focus on Bayesian regression for agricultural spectral data, path sampling algorithms, clinical trial recruitment prediction, and neuro-mimetic learning strategies. His work integrates probabilistic methods with real-world challenges in agriculture and healthcare. Contact: Szymon.Urbas@mu.ie

Simon Kellyمشاهده پروفایل

دانشیار

• Perceptual decision making
• Cognitive neuroscience
• Neural engineering
• +۵ مورد دیگر

Dr. Simon Kelly is an Associate Professor in the UCD School of Electrical & Electronic Engineering, part of the UCD College of Engineering and Architecture. With a background in Electrical and Electronic Engineering (B.E. and Ph.D. from UCD), he has established himself as a leading researcher at the intersection of engineering and cognitive neuroscience, focusing on how the brain makes perceptual decisions. Dr. Kelly's research program centers on understanding the neural mechanisms underlying perceptual decision making. Using human electroencephalography (EEG), he investigates how the brain accumulates sensory evidence to reach decisions about what we see, hear, and experience. His pioneering work around 2012 identified the Central Parietal Positivity (CPP) signal that reflects the accumulation of evidence during decision processes, building to a threshold before decisions are executed. This discovery has fundamentally advanced our understanding of how the brain transforms sensory input into decisions. His recent publications reveal continued innovation in understanding the dynamics of evidence accumulation, the neural representation of confidence in decisions, and how prior knowledge shapes perceptual processing. His work spans theoretical advances in decision mechanisms and practical applications for diagnosing and treating cognitive impairments associated with neurological disorders like Parkinson's disease. Wellcome Trust Investigator Award in Science (2020) for 'What dictates the extent of evidence accumulation in human decision making?' SFI US-Ireland Research Partnership Programme award (2020) for 'Uncovering the neural architecture underlying decisions abstracted from movements' As an interdisciplinary researcher, Dr. Kelly bridges engineering, neuroscience, and psychology through his leadership of the UCD Cognitive Neural Systems Lab. His work has significant implications for both fundamental cognitive science and potential clinical applications, reflecting his commitment to basic research as a foundation for future practical advances.

• Representation Theory
• Finite Groups
• Geocomputation
• +۳ مورد دیگر

Lars Pforte is a Lecturer in the Faculty of Science & Engineering at Maynooth University, affiliated with the Mathematics and Statistics department. He holds a PhD in Mathematics and a Masters Degree in Geocomputation. PhD in Mathematics Masters in Geocomputation His research spans both pure mathematics and applied geospatial analysis. Key areas include: Representation theory of finite groups Urban airspace traffic management (UTM) Road safety analysis Data imputation in space-time series While his recent publications focus on algebraic structures like symplectic modules for the Klein-four group and permutation module vertices, he also applies Bayesian statistical methods to urban analytics and transportation safety. No scientific awards are explicitly mentioned in the available information.

Christopher Brunsdonمشاهده پروفایل

استاد

• Spatial Statistics
• Data Science
• Spatial Analysis
• +۳ مورد دیگر

Christopher Brunsdon is Professor of Geocomputation and Director of the National Centre for Geocomputation at Maynooth University's Faculty of Social Sciences. Previously, he held positions at the University of Liverpool, Leicester, Glamorgan, and Newcastle. His academic credentials include a BSc in Mathematics from Durham University and an MSc in Medical Statistics and PhD in Geography from Newcastle University. Research interests focus on spatial statistics, data science, and spatial analysis, with emphasis on open-source software (especially R) and reproducible methods. Applied domains include crime pattern analysis, health geography, and environmental applications. Current projects include 'Mapping Lineages: Quantifying the Evolution of Maps of the British Isles' and 'Building city dashboards'. Brunsdon's recent publications (2018-2020) demonstrate strong methodological contributions to geocomputation, spatial regression, and geodemographics. Trends include reproducibility in spatial science, multiscale modeling, and applications in health geography and urban analytics. He leads the National Centre for Geocomputation, fostering innovation in spatial data science. Grant leadership includes an ERC Advanced Grant (RIGAR) and industry collaborations like consultancy for SiteZeus.

• Signal Processing
• Machine Learning
• Computer Engineering
• +۳ مورد دیگر

Ehsan Namjoo serves as a Research Fellow in the Department of Electronics & Computer Engineering at the University of Limerick, with a primary affiliation at Lero – the Irish Software Research Centre. His multidisciplinary work bridges theoretical signal processing, machine learning applications, and hardware implementation for real-world systems. His research spans signal processing (DOA estimation under non-ideal noise conditions, EEG source imaging), machine learning (explainable AI for medical diagnostics, feature selection in cancer detection), and computer engineering (polar code decoders, visible light communication systems). Notable biomedical applications include breast cancer diagnosis and epileptic source analysis, while cybersecurity work focuses on intrusion detection in cloud environments. Recent publications (2021-2025) reveal a consistent trajectory toward developing lightweight, interpretable models for tabular medical data alongside robust signal processing frameworks for communication systems. His work increasingly integrates hardware-aware algorithms, particularly in polar coding implementations, and emphasizes practical validation through experimental demonstrations in visible light networks. As an active Lero researcher, Namjoo participates in Ireland's national software research ecosystem, contributing to interdisciplinary projects that connect theoretical innovations with healthcare, communications, and security applications through collaborative frameworks.

• Artificial Intelligence
• Constraint Programming
• Optimisation
• +۱۰ مورد دیگر

Professor Kenneth Brown is affiliated with the Department of Computer Science at University College Cork (UCC) , Ireland. He holds the academic rank of Professor and is a Principal Investigator at the Insight Centre for Data Analytics and the CTVR (Telecommunications Research Centre) . BSc (Hons) Mathematics, University of Glasgow, 1986 MSc Mathematical Logic and the Foundations of Computation, University of Manchester, 1987 PhD Artificial Intelligence in Engineering, University of Bristol, 1991 His research focuses on Artificial Intelligence, constraint programming, optimisation, and distributed reasoning , with applications in wireless networking, sensor networks, and dynamic resource management . He also works on smart energy systems, data analytics, and human-centric applications. His recent work includes projects under the SFI-funded Insight Centre and Horizon Europe initiatives like GLACIATION and SEISMEC. His publications span topics from wireless sensor network optimization and cognitive radio to constraint-based decision support and AI in emergency management. He has led and contributed to over 15 recent publications in top-tier journals and conferences, showing a strong trend in AI-driven solutions for networked and intelligent systems. IEEE SECON 2015 Best Demonstration 2014 TAOS Best Paper Award in Access Networks and Systems Best paper, SMARTGREENS 2013 Enterprise Ireland Lifescience and Food Commercialisation Award Best Application Paper, AI2008 Best Application Paper, AI2006 Best paper nomination, ECAI 2004 Best Paper, Intl Conf AI in Design Professor Brown has supervised numerous PhD and MSc students in areas including constraint programming, sensor networks, evacuation modeling, and smart buildings. He has secured significant research funding from SFI, Enterprise Ireland, and IRCSET. He is actively involved in research leadership, serving as Deputy Director of Insight@UCC and PI in multiple national and international projects. He is a member of research groups involved in GLACIATION (green, responsible data operations), SEISMEC (human-centric industry), and SMARTeBuses . His lab supports a team of doctoral students and research staff working on AI, networking, and data analytics for real-world applications.

CLINTمشاهده پروفایل

پژوهشگر ارشد

• Neuroscience
• Neurology
• Psychiatry
• +۳ مورد دیگر

CLINT leads the Lab for Clinical & Integrative Neuroscience (Lab CLINT) at Trinity College Dublin , focusing on brain disorders through multimodal imaging and neuromodulation. The lab investigates predictive coding theory in phantom perceptions like tinnitus, Parkinson's, and chronic pain, while developing treatments through peripheral nerve stimulation. Research Pillars : Predictive coding, thalamocortical dysrhythmia, locus coeruleus noradrenergic pathways Key Disorders : Tinnitus, Alzheimer's, chronic pain, depression Scientific Contributions include: Developing TIDE consortium for tinnitus biomarkers Implementing BRAI3N clinic for neuromodulation therapies Creating Tinnitus Éire community for peer support Recent publications analyze: Deep learning applications for tinnitus prognosis HD-tACS effects on attention networks Bayesian models of chronic pain comorbidities CLINT's work bridges laboratory research with clinical translation, emphasizing patient-centered approaches and interdisciplinary collaborations across Europe and North America.

• Structural Health Monitoring (SHM)
• Earthquake Engineering
• Smartphone Sensor Technologies
• +۵ مورد دیگر

Dr. Ekin Ozer is an Assistant Professor at University College Dublin's School of Civil Engineering. His research focuses on vibration-based structural health monitoring (SHM), earthquake engineering, and mobile sensor technologies. He holds a PhD from Columbia University (2016) and has prior experience in academia (Middle East Technical University) and industry (Novum Structures). His work emphasizes smartphone and participatory sensing for bridge and building monitoring, with contributions to Bayesian risk assessment and machine learning applications. Education: BSc/MSc in Civil Engineering from Bogazici University, MPhil/PhD from Columbia University. Grants include the FLAME project (UCD SATLE) for 3D learning tools and transnational university initiatives. Key research trends in his articles include smartphone-driven SHM innovations, seismic risk assessment frameworks, and integration of cyber-physical systems for infrastructure resilience. He actively supervises PhD students and teaches modules like Structural Analysis, Bridge Engineering, and Case Studies in Infrastructure Design.

• 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.

• Mathematics
• Applied Mathematics
• Computational Neuroscience
• +۳ مورد دیگر

Fei Chen is a Research Fellow in the School of Mathematics at Trinity College Dublin. Their work focuses on interdisciplinary research at the intersection of mathematics, neuroscience, and biomedical engineering. Current research interests include predictive coding models in auditory perception, Bayesian inference frameworks for phantom perception, and applications of machine learning in diagnosing hearing-related disorders. Fei's recent publications explore topics such as auditory illusion modeling, chronic pain mechanisms through predictive processing lenses, and systematic reviews of autoimmune-related hearing loss. Their work combines advanced mathematical modeling with clinical data analysis to advance understanding of sensory perception disorders. Advisees/PhD students: None listed at this time. No scientific awards mentioned in available records. Research activities include collaboration with clinical teams to investigate neural networks involved in auditory processing anomalies and developing computational tools for hearing diagnostics.

• Artificial Neural Networks
• Anomaly Detection
• Machine Learning
• +۴ مورد دیگر

Mehran Hossein Zadeh Bazargani is a Marie Curie Post Doctoral Fellow at the School of Mathematics and Statistics , University College Dublin. His research focuses on brain-inspired artificial neural networks, anomaly detection in medical data, and interpretable machine learning. He has contributed to the MED-I consortium and founded the educational platform MLDawn . Education: PhD in Machine Learning (University College Dublin) Research Interests: Developing artificial neural networks for perceptual learning and decision-making, anomaly detection in time-series (ECG, EEG) and medical images (fMRI, X-ray), and computational neuroscience applications under the Free Energy Principle. Teaching Activities: Founder of MLDawn (2018–Present), lecturer at Queens University Belfast (2020), teaching assistant at UCD (2017–2020), and instructor in Iran (2013–2015). Scientific Contributions: 8 publications across anomaly detection, medical image analysis, and molecular communication. Key works include the D-RBFDD network and de-identification frameworks for medical data. Emails: mehran.hosseinzadehbazargani@ucd.ie, mldawn2018@gmail.com

David McGovernمشاهده پروفایل

استادیار

• Sensory Neuroscience
• Perceptual Decision Making
• Multisensory Integration
• +۳ مورد دیگر

Dr. David McGovern is an Assistant Professor at the School of Psychology, Dublin City University , specializing in sensory neuroscience and perceptual decision-making. He earned his PhD in Visual Neuroscience from the University of Nottingham and holds prior degrees in Cognitive Science from University College Dublin. Teaching: Modules in Cognition, Perception, and Behavioural Neuroscience Methods across four programs (BSc/MSc Psychology, Psychology & Mathematics, Psychology & Disruptive Technologies). Research: Investigates multisensory integration, aging effects on perceptual decision-making, and computational modeling. Uses psychophysics, EEG, and simulations. Selected Article Trends: Focus on sensory adaptation, age-related neural changes, multisensory dynamics, and computational approaches to cognition. Recent work links perceptual training to improved temporal integration and explores decision-making in sports and AI. Honors: Government of Ireland Postdoctoral Fellowship (2013) Brain Travel Scholarship (2011) Universitas 21 Scholarship (2009) University of Nottingham Research Scholarship (2006) Projects: Principal Investigator for Evaluating the Role of Sensory Perception in Elite Soccer (2024–2028) and Neurally-Informed Modeling of Adult ADHD (2022–2026).