Find Academic Supervisors

Md Noor-A-RahimView profile

Assistant Professor

• Intelligent Transportation Systems
• Machine Learning
• Internet of Things
• +4 more

Dr. Md Noor-A-Rahim is an Assistant Professor (Lecturer-Above the Bar) at the School of Computer Science and Information Technology, University College Cork (Ireland). He previously served as a Senior Researcher and Marie Curie Fellow at the same institution. His academic journey includes a PhD from the University of South Australia (2015) and the prestigious Michael Miller Medal for his outstanding thesis on wireless communication systems. His research focuses on Intelligent Transportation Systems, Machine Learning, IoT, Wireless Networks, and DNA-based data storage. He has published extensively on topics like 6G-V2X systems, time-sensitive networking, and error characterization in DNA storage. His work integrates cutting-edge technologies such as intelligent reflecting surfaces (IRS), federated learning, and ultra-reliable low-latency communication (URLLC). Research Interests : Dr. Rahim's research bridges theoretical advancements and real-world applications in vehicular networks, smart manufacturing, and next-generation communication systems. He explores challenges in autonomous driving, edge computing, and bio-constrained data storage. His contributions include novel coding schemes for anytime transmission and frameworks for mitigating big vehicle shadowing in V2X communications. Key Publications : His recent work includes a comprehensive survey on wireless TSN (2025), analysis of 6G-V2X systems (2022), and breakthrough studies on DNA data storage error modeling (2023). These publications highlight his expertise in both foundational research and industry-relevant solutions. Awards : Recipient of the Michael Miller Medal (2015) for doctoral research excellence. Grants & Labs : While specific grants are not listed in the text, his research portfolio suggests involvement in collaborative projects with industry partners and funding bodies. He leads interdisciplinary efforts in smart manufacturing and vehicular communication systems.

Alessandro RaganoView profile

Researcher

• Machine Learning
• Audio Processing
• Quality of Experience (QoE)
• +6 more

Alessandro Ragano is a Postdoctoral Researcher at the Insight Centre for Data Analytics , where he has been investigating Quality of Experience (QoE) aspects of audio archives and developing data-driven approaches for QoE estimation and audio restoration using deep learning since 2018. Education: MSc in Computer Science and Engineering from Politecnico di Milano (Italy) BSc in Computer Engineering from Università Degli Studi di Salerno (Italy) His research integrates machine learning , audio signal processing , and multimedia quality assessment to improve speech enhancement, audio restoration, and perceptual modeling. Recent trends in his publications focus on self-supervised learning , objective quality metrics , and audio dataset generation with applications in speech separation, music representation, and audio inpainting. He actively contributes to open-source tools like Binamix and AQP for audio research and quality evaluation.

• Open Source Software
• Inner Source Adoption
• Crowdsourcing in Software Engineering
• +4 more

Klaas-Jan Stol is a Senior Lecturer at the School of Computer Science and Information Technology, University College Cork. His research focuses on software development methods, open source practices, and improving research methodologies in software engineering. He leads projects funded by Science Foundation Ireland (SFI) and industry, with grants totaling over €1.5 million. Notable roles include SFI Principal Investigator on open source and agile projects. Education: PhD (Computer Science, University of Limerick), MSc (University of Groningen), B.ICT (Hanzehogeschool Groningen). Former Research Fellow at Lero - Irish Software Research Centre. Research interests span open source adoption, inner source frameworks, crowdsourcing, and theory development. Key publications include Adopting InnerSource: Principles and Case Studies (2018) and Scaling a Software Business (2017). Awards include the Lero Director’s Research Excellence Award (2019). Grant leadership includes SODAW (€464k), HUSRAI (€353k), and Security-Centered Developers (€91k). Guides PhD/postdoc researchers in areas like secure coding and open source ecosystems. Editorial roles: Empirical Software Engineering, Journal of Systems and Software. Labs/Teams: Active in Lero as a Funded Investigator, contributing to industry-academia collaborations.

Paul ClarkeView profile

Associate Professor

• Software Engineering
• Continuous Software Engineering
• Serverless Computing
• +7 more

Paul Clarke is an Associate Professor in the School of Computing at Dublin City University (DCU), serving as Principal Investigator for the DTIF-funded Future Software Systems Architectures (FSSA) project focused on AI-driven software architectural transformation. He is a member of Lero (SFI Research Centre for Software) and represents Ireland on ISO/IEC JTC1 SC7 for software process standards, while providing industry advisory to Optimality Technologies Ltd and fourTheorem Ltd to bridge academia and practice. His research centers on continuous software engineering, serverless computing, and human aspects of development, with notable contributions to gamification in software engineering contexts and medical device software via the MDevSPICE® framework. He explores software process adaptive capability through empirical studies on occupational stress, virtual reality training environments, and blockchain applications for development integrity. Analysis of his 15 most recent publications (2023-2025) reveals three dominant trends: (1) AI/ML applications for software architecture modernization (microservices extraction, legacy system transformation), (2) gamification and virtual reality for developer training and process improvement, and (3) human factors investigations including occupational anxiety, sleep patterns, and avatar perception in metaverse environments. His work consistently employs multivocal literature reviews and empirical case studies across industrial contexts. Clarke leads the €2.1M FSSA project examining AI for monolith-to-microservices conversion and previously managed the MDevSPICE® medical device assessment framework. His industry advisory roles focus on commercializing research through Optimality Technologies (software analytics) and fourTheorem (cloud solutions), leveraging 15+ years of pre-academia experience at FINEOS, Arantech, and Logica Plc. He actively contributes to EuroSPI conference proceedings as both author and editorial board member.

• ontologies
• lexicography
• knowledge graphs
• +5 more

John McCrae is a lecturer at the Insight Centre for Data Analytics, University of Galway, Ireland. He works within the Unit for Natural Language Processing under Paul Buitelaar, focusing on linguistic linked open data and lexical resource modeling via lemon and OntoLex frameworks. Research Focus: ontologies, lexicography, knowledge graphs, machine translation, linked data, machine learning, under-resourced languages, digital humanities Funding: €1.7m from EU, IRC, SFI Collaborations: Fidelity Labs, Standardization with W3C and OASIS His publications address code-switching datasets, machine translation for Dravidian languages, ontology lexicons, and taxonomy extraction. He organized the Linked Data in Linguistics workshop series and the 2017 Language, Data and Knowledge (LDK) conference. Scientific Awards: IRC Consolidator Laureate Awards (2017/2018)

• Signal Processing
• Machine Learning
• Computer Engineering
• +3 more

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.

Brenda DalyView profile

Associate Professor

• Dispute Resolution
• Healthcare Law
• Patients' Rights
• +2 more

Dr Brenda Daly is an Associate Professor of Law in the School of Law and Government at Dublin City University (DCU), where she lectures on healthcare law, dispute resolution (arbitration and mediation), and employment law. She serves as the European Association of Health Law National Contact for Ireland and is an active member of the EAHL Advisory Board, EAHL Interest Group on Supranational Biolaw, and the Northern/Ireland Health Law and Ethics Network. Education BA (Hons) MA PhD Research Focus : Her work centers on dispute resolution and healthcare law , with deep expertise in patients' rights, medical accountability, and mediation frameworks. She critically examines abortion law through European human rights jurisprudence and investigates mediation's role in medical negligence claims. Her employment law research includes practical guidance for Lexis+ Ireland and regular RTÉ Brainstorm contributions. Publication Trends : Daly's scholarly output reveals dual trajectories: healthcare law publications analyzing Ireland's abortion legislation and patient consent frameworks through European Court of Human Rights rulings, and conflict resolution work examining international peace mediation (notably the Aceh case study). Her methodology blends doctrinal legal analysis with empirical case studies across medical ethics and international relations contexts. Scientific Recognition No formal awards documented in source materials Advising & Funding : Daly supervises PhD/LL.M students in healthcare law and dispute resolution. She secured Irish Research Council/Department of Foreign Affairs funding (2009-2010) for EU peace mediation capacity research. Her grant history demonstrates interdisciplinary collaboration between law, health policy, and conflict studies. Research Ecosystem : As former Director of DCU's Socio-Legal Research Centre (2007-2011) and current Northern/Ireland Health Law Network member, she cultivates collaborative environments for healthcare ethics and mediation research, bridging academic theory with practical legal applications in high-stakes domains.

James PattenView profile

Research Fellow

• Machine Learning
• Software Engineering
• Source Code Analysis
• +3 more

James Patten is a Research Fellow at the University of Limerick , affiliated with the Department of Computer Science & Information Systems and the research center Lero – the Irish Software Research Centre . His work focuses on applying machine learning and evolutionary computation to enhance software quality, with a specific emphasis on code duplication detection and refactoring. Primary Affiliation: Department of Computer Science & Information Systems, University of Limerick Research Center: Lero – the Irish Software Research Centre Patten’s research spans two major domains: Software Engineering: Code duplication elimination, clone detection using BERT-based models, evolutionary algorithms for codebase analysis Gender Equity: Active participant in the WiSTEM2D initiative, exploring systemic interventions to improve female representation in STEM fields His publications reflect a dual focus on scalable software analysis techniques (e.g., ensemble inference for clone detection) and social science studies on gender dynamics in technology education. Notably, Patten combines technical rigor with societal impact by addressing both software reliability and diversity challenges.

Stephen O'ShaughnessyView profile

Lecturer

• Malware Classification
• Secure Coding
• Application Security
• +1 more

Dr. Stephen O'Shaughnessy serves as a Lecturer in Cyber Security at TU Dublin's School of Informatics and Cybersecurity, based at the Blanchardstown campus. He concurrently holds the position of Programme Coordinator for the MSc in Applied Cyber Security programmes, overseeing curriculum development and academic operations. His academic foundation includes a PhD in Malware Classification, which directly informs his specialized research trajectory. Core competencies span Secure Coding methodologies, Application Security frameworks, and advanced Malware Forensics analysis, forming an integrated approach to cyber defense education. Scientific Awards: No awards, fellowships, or medals are referenced in the source material. Advising and Grants: The provided text contains no details regarding graduate student supervision, research grants, or funded projects. His Programme Coordinator role implies academic leadership responsibilities without specific advising metrics. Labs and Teams: No laboratory facilities, research groups, or collaborative teams are documented in the available information.

• Algebraic Geometry
• Combinatorics
• Tropical Geometry
• +3 more

Marvin Anas Hahn serves as an Assistant Professor in the School of Mathematics at Trinity College Dublin, Ireland, with his office located at Trinity College, Dublin 2. His research bridges pure mathematics and applied fields through rigorous exploration of algebraic structures and combinatorial methods. Hahn's primary research focuses on the deep interplay between algebraic geometry and combinatorics, particularly in Hurwitz theory where he investigates piecewise polynomiality of curve enumeration, tropical realizations of moduli spaces, and combinatorial structures of double Hurwitz numbers. His work extends to tropical geometry applications in enumerative problems and has significant interdisciplinary reach into computer vision (rolling shutter camera models) and coding theory (rank-metric codes with valuation structures). The mathematical sophistication of his research manifests in connections to topological recursion, quantum curves, and non-archimedean geometry. Analysis of his 15 most recent publications reveals a cohesive trajectory where combinatorial frameworks solve geometric problems across diverse contexts—from toric surfaces and elliptic curves to camera geometry and coding theory. His articles demonstrate consistent innovation in applying tropical methods to classical algebraic geometry problems while expanding into computational domains, establishing him at the nexus of pure mathematics and practical applications. No scientific awards are documented in the available information. Hahn's academic advising activities and research funding sources remain unspecified in the provided materials, though his publication record suggests active supervision of graduate researchers in mathematical sciences.

Barak PearlmutterView profile

Professor

• Adaptive systems
• Automatic differentiation
• Theoretical neurobiology
• +8 more

Professor Barak Pearlmutter is affiliated with Maynooth University in the Faculty of Science & Engineering . His research spans multiple domains including automatic differentiation , neural networks , machine learning , and neuroscience . He has contributed significantly to adaptive systems , brain imaging , and programming language design . Research Interests include: Adaptive systems, automatic differentiation, theoretical neurobiology, neural networks, machine learning, acoustic source separation/localization, neuroscience, brain imaging, programming language design, and computational neuroscience. Publications focus on applying algorithmic differentiation to machine learning, developing neural ODE models for biomedical signals, advancing sparse NMF techniques, and integrating functional programming with numerical methods. Collaborations span institutions like MIT, Oxford, and IEEE societies, with work in brain-computer interfaces , MEG source localization , and neuromodulation for tinnitus treatment. Technical Contributions include the DiffSharp AD library for .NET languages and foundational work on reverse-mode automatic differentiation in functional frameworks. His 2018 Journal of Machine Learning Research survey on AD remains a seminal reference in the field. Application Areas cover biomedical signal processing , optical brain-computer interfaces , cognitive modeling , and neural code optimization . His work intersects computer science, neuroscience, and mathematical computing through sparse decomposition and probabilistic modeling .

Damien DupréView profile

Assistant Professor

• Emotion Recognition
• Facial Expressions
• Wearable Devices
• +3 more

Dr. Damien Dupré is an Assistant Professor of Business Research Methods at Dublin City University's Business School. He holds a Ph.D. in Social and Experimental Psychology from Université Grenoble-Alpes, France. His research focuses on psycho-physiological responses in real-world settings, particularly through the analysis of facial expressions and wearable device data. He co-developed the DynEmo database for dynamic facial emotion analysis and collaborated with institutions like Queen’s University, Sensum Ltd, and UCD’s Insight Centre. His expertise includes multivariate time series analysis for machine learning applications in emotion recognition and human-computer interaction. Education: Ph.D. in Social and Experimental Psychology (Université Grenoble-Alpes), postdoctoral work involving physiological measurements of marathon runners. Key collaborations include projects with Sensum Ltd (emotion sensors), Queen’s University (facial expression analysis), and Ixiade (emotional UX evaluation). Research interests span emotion statistics, wearable devices, and physiological computing. Recent work emphasizes automatic facial expression recognition systems and their validation through dynamic datasets. His publications address challenges in emotion detection accuracy across commercial classifiers and the impact of facial interface designs on emotional perception. Teaching responsibilities include Data Analytics for Business, Quantitative Research Methods, and Strategic Consultancy modules. He leads the DCU R Stats Club and actively contributes to open-source tools for data science education. Current projects include the Motoklik–AI-PoC initiative as DCU PI. Professional engagement includes Mastodon activity promoting RStats pedagogy and GitHub repositories showcasing code for emotion analysis (e.g., machine_challenge repo). His work bridges psychological theory, technological innovation, and business analytics applications.

Giuseppe TorreView profile

Associate Professor

• Digital Art
• Artistic Research
• Sound and Performance
• +9 more

Giuseppe Torre is an Associate Professor at the University of Limerick's Department of Computer Science & Information Systems and a member of the Digital Media and Arts Research Centre. His work bridges digital art, philosophy, and technology, focusing on critical inquiry into the ethical and ontological dimensions of digital creativity. He advocates for Free/Libre Open-Source Software (FLOSS) as a methodology resisting technological commodification. Education: PhD in Digital Performance Arts (2013) MSc in Music Technology (2006) Laurea (MPhil) in Arts, Music & Spectacle (2003) Diploma in Classical Guitar (2002) Research Interests: Torre explores artistic practices that merge code, sound, and performance with philosophical traditions like phenomenology and media theory. Notable projects include Incidental Effects (2024), an EP emphasizing live coding and minimalism, and The ‘No’ core-(f)utility , critiquing computational affirmation. His book An Ethico-Phenomenology of Digital Art Practices (2021) interrogates the experiential ethics of digital creation. Awards: Ambassador Award (2020) CSIS Lecturing Excellence Award (2023) Advising & Grants: Torre is actively mentoring PhD students and has organized interdisciplinary events like the Digital Worlds Workshop (2025). His research often intersects with grants supporting FLOSS development and critical digital art. Labs & Collaborations: Engaged with the Digital Media and Arts Research Centre, Torre collaborates internationally on projects blending art, technology, and philosophy. Recent activities include invited talks on 'We Have Never Been Digital' (2025) and panels on phenomenology and digital arts (2024).

Diarmuid O'DonoghueView profile

Assistant Professor

• Computational Creativity
• Analogical Reasoning
• Natural Language Processing
• +4 more

Diarmuid O'Donoghue is an Assistant Professor in the Faculty of Science & Engineering at Maynooth University, specializing in Computational Creativity and Analogical Reasoning . His research explores topological similarities between text and source code to develop cognitively inspired systems for problem-solving and bias detection. Co-PI of the Modelling implicit bias project (€21/FFP-P/10118) Senior Scientific Coordinator for the €2.6M EU-funded Dr Inventor project Key research areas include: Latent homomorphism detection in lexical data Comparative analysis of LLMs and analogical systems Formal specification generation from code/text His work has shaped undergraduate project frameworks with ethical GenAI integration . Publications span ICCC , GECCO , and journals like Artificial Intelligence Review .

Michael EnglishView profile

Associate Professor

• Software Engineering
• Computer Science Education
• Software Metrics
• +6 more

Michael English is an Associate Professor at the Department of Computer Science & Information Systems, University of Limerick, and an Academic Director of the ICT Learning Centre. He holds a PhD in Computer Science (2007) and MSc (1999) from the University of Limerick, and a BSc in Mathematics and Statistics from University College Cork (1996). His research focuses on software engineering (metrics, quality, clone detection, software evolution) and computer science education (undergraduate programming challenges). He lectures in software engineering, object-oriented programming, and course design. Education: BSc (Hons) Mathematics and Statistics, University College Cork (1996) MSc Computer Science, University of Limerick (1999) PhD Computer Science, University of Limerick (2007) Research Interests: His work spans software metrics for quality assessment, automated detection of code clones, and improving software maintainability. In education, he investigates barriers faced by early-stage programming students and pedagogical strategies like pair programming. Recent studies include industrial case studies on feature clones and text-mining StackOverflow to identify learning challenges. Professional Roles: Course Director for MSc in Software Engineering Member of Lero – the Research Ireland Centre for Software Design contributor to undergraduate/postgraduate curricula Research Trends: Recent articles emphasize industrial software analysis (e.g., feature clone detection in large systems) and leveraging machine learning for software engineering tasks. Educational work highlights the use of Q&A platforms to inform curriculum improvements and student support strategies. Labs/Teams: Active in Lero, Ireland’s National Software Engineering Research Centre.