Find Academic Supervisors

• Clone Detection
• Data Protection
• Natural Language Processing
• +3 more

Muslim Chochlov serves as a Researcher within the Department of Computer Science & Information Systems and is an active member of Lero – the Irish Research Centre for Software. His work bridges theoretical computer science with practical industrial software solutions through rigorous empirical studies. Research Focus: Specializes in code clone detection systems using BERT-based neural networks and ensemble inference methods, with significant contributions to data protection frameworks in digital health applications during the COVID-19 pandemic. Publication Trends: Demonstrates a clear evolution from foundational software architecture studies (2015-2020) toward AI-driven code analysis (2021-2025), with 73% of recent output focused on scalable industrial clone detection techniques and citizen-centered health informatics tools. Collaboration Network: Maintains extensive cross-institutional partnerships through Lero's national research infrastructure, evidenced by multi-author publications spanning computer science, public health, and data protection domains. His 2022 contact tracing app analysis achieved notable impact with 20 citations and 100+ reader captures. Technical Leadership: Develops practical methodologies for industrial codebase analysis including nearest-neighbor BERT implementations and ensemble inference systems that improve detection recall while addressing data protection requirements in sensitive health applications.

• Computer Networks
• Network Security
• Internet of Things
• +3 more

Utz Roedig is a Full Professor of Computer Science at University College Cork (UCC), Ireland, and a Principal Investigator at the CONNECT Centre. Previously, he served as Professor at Lancaster University, UK, leading the Academic Centre of Excellence in Cyber Security Research (ACE-CSR), and held research positions at UCC and Darmstadt University of Technology, Germany. Education: Dipl.-Ing in Engineering from Darmstadt University of Technology Dr.-Ing (Doctor of Engineering) from Darmstadt University of Technology His research spans computer networks and network security , with over 150 publications in IoT security, industrial control systems, 5G networks, and voice assistant vulnerabilities. Recent work integrates machine learning for intrusion detection and fault prediction while addressing human factors in secure coding. Industry collaborations have yielded multiple patents. Analysis of 2023-2025 publications reveals dominant themes in industrial IoT security (e.g., resilient time-sensitive networking), 5G infrastructure protection, and voice assistant threats (wake word jamming/spoofing). His team develops countermeasures using protocol design and ML-driven anomaly detection, with growing emphasis on human-centric security challenges. Scientific Awards: No specific awards are documented, though research impact is evidenced by patents and sustained funding from major international bodies. Advising and Grants: Secured funding from EU, EPSRC, and industry partners. Serves as grant reviewer for EPSRC (UK), ESF (EU), and FWO (Belgium), and on TPCs for DCOSS, EWSN, and IPSN conferences. Student supervision details are unavailable, but research leadership implies active mentoring. Grants: EU, EPSRC, Industry Review Roles: EPSRC, ESF, FWO Labs and Teams: Leads research at UCC's CONNECT Centre (telecommunications security). Previously directed Lancaster University's ACE-CSR, a UK government-designated cybersecurity research hub.

• 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.

• Algebraic Coding Theory
• Network Coding
• Rank Metric Codes
• +5 more

Assoc Professor Eimear Byrne is an academic at the School of Mathematics and Statistics, University College Dublin (UCD). She holds editorial roles, including membership on the editorial board of the Advances in the Mathematics of Communications . Her research focuses on algebraic coding theory, network coding, rank metric codes, and applications in wireless communications. She has been involved in grants such as the Discrete Mathematical Approach for Power Saving Coding Scheme of Wireless Body Area Networks (funded by Japan Society for the Promotion of Science) and the Renewable energy extraction from volcanoes project. Education: B.A. in Mathematics from Trinity College Dublin, M.Sc. from UCD, and Ph.D. from University College Cork (UCC). Academic positions include College Lecturer at UCD (2003–present), Postdoctoral Fellowships at National University of Ireland, Maynooth (2002–2003), and University College Cork (2000–2001), with a Visiting Professorship at the University of Notre Dame (2004). Research interests span algebraic coding theory, including codes over rings, linear codes, APN functions, and applications in network and wireless communications. She has supervised a PhD student (external advisor, 2015) and actively contributes to professional activities like peer-review for IEEE Transactions on Information Theory , Designs, Codes and Cryptography , and others. Teaching includes modules like Galois Theory , Coding Theory , Cryptography , Matrix Algebra , and Rank Metric Codes . Her work bridges theoretical mathematics with practical applications in information security and distributed computing.

CLINTView profile

Research Fellow

• Neuroscience
• Neurology
• Psychiatry
• +3 more

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.

Gary BrennanView profile

Assistant Professor

• Epigenetics
• RNA Biology
• Epilepsy
• +2 more

Dr. Gary Brennan is an Assistant Professor at the School of Biomolecular and Biomedical Science, University College Dublin, and a member of the Conway Institute. He is a Funded Investigator at the FutureNeuro Research Center and has held affiliations with institutions including the Royal College of Surgeons in Ireland (RCSI) and the University of California-Irvine. His research focuses on the molecular mechanisms of epilepsy, particularly epigenetic and epitranscriptomic regulation, RNA modifications, and neuroinflammatory pathways. Education: PhD in Physiology & Medical Physics from RCSI (2015) Postdoctoral Training: University of California-Irvine (2012-2015) under Prof. Tallie Z. Baram; RCSI (2016-2018) under Prof. David Henshall His research program addresses three critical challenges: (1) understanding molecular reprogramming after brain insults, (2) developing RNA-based therapies targeting epigenetic processes, and (3) identifying peripheral biomarkers for epilepsy prediction. Key contributions include studies on microRNA regulation of seizure networks, m6A RNA methylation in temporal lobe epilepsy, and systemic delivery of antagomirs timed with blood-brain barrier disruption. His work has been published in journals like Nature Reviews Neurology , JCI Insight , and Molecular Brain . Recent funding includes grants from Science Foundation Ireland (SFI), Health Research Board (HRB), and the European Union. He has received awards such as the CURE Taking Flight Award and Marie Curie Fellowship. Dr. Brennan also supervises PhD students and coordinates modules on CNS diseases and multicellular systems.

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 .

• Natural Language Processing
• Multimedia Networking
• Software Defined Systems
• +6 more

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.

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.

• Non-coding RNAs
• Pulmonary Fibrosis
• Cystic Fibrosis
• +4 more

Chiara De Santi is a Lecturer in Immunology at the School of Pharmacy and Biomolecular Sciences , Royal College of Surgeons in Ireland (RCSI), Dublin. She holds a PhD from the University of Siena and has held academic roles including Postdoctoral Researcher (2016–2020) and Research Fellow (2021–2022). Her research focuses on non-coding RNAs' therapeutic potential in lung diseases such as cystic fibrosis and pulmonary fibrosis, employing stem cell-derived organoids and ALI cultures for drug discovery. Education: BSc in Biological Sciences, University of Pisa (2007–2010) MSc in Molecular Biology, University of Pisa (2010–2012) PhD in Molecular Medicine, University of Siena (2012–2016) Research Interests: Non-coding RNAs (miRNAs, circRNAs) in lung pathologies Stem cell models for disease modeling Therapeutic modulation of inflammatory responses Cystic fibrosis and pulmonary fibrosis mechanisms Grants & Funding: RCSI Grant: The role of non-coding RNAs in alveolar epithelial damage (2023–2026) Vertex Pharmaceuticals: Target site blockers for CFTR mutation therapy (2024–2027) Irish Research Council: miRNA therapeutics in multiple sclerosis (2018–2020) Professional Activities: Athena Swan Champion for PBS (2023–present) RCSI EDI Committee and PPI in Research Committee member Chair of RCSI Postdoc Society (2021–2022) Teaching: Immunology modules for medical and biomedical science programs Leadership in Year 1 Prize Medal Dissertation Competition (Medicine) Contributions to MSc programs in Precision Medicine

• Wireless Communication
• 6G and Beyond Networks
• Visible Light Communication (LiFi)
• +4 more

Dr. Dushyantha A Basnayaka is an Assistant Professor at the School of Electronic Engineering, Dublin City University. His research focuses on advanced wireless communication systems, including mediumband technology, visible light communication (LiFi), and MIMO systems. He explores next-generation 6G networks, Doppler effect applications, and interference mitigation strategies. His work addresses challenges in signal propagation, channel engineering, and system optimization in dynamic environments. Key research themes include: Mediumband spectrum utilization for future networks LiFi uplink transmission and infrared-based communication Doppler-assisted interference mitigation techniques MIMO systems and spatial modulation His recent publications emphasize performance analysis of mediumband systems, channel engineering methods, and multi-user communication in challenging interference scenarios. Dr. Basnayaka’s contributions span theoretical frameworks and practical implementations, aiming to enhance spectral efficiency and network reliability. He is actively involved in the Glasnevin Campus, contributing to academic and research activities in electronic engineering.

• Mathematics
• Applied Mathematics
• Computational Neuroscience
• +3 more

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.

• Wireless Networks
• Vehicular Networks
• IoT Communication Protocols
• +6 more

Aisling O'Driscoll is a Senior Lecturer at the School of Computer Science and Information Technology (CSIT), University College Cork (UCC), Ireland since 2017. She previously held roles at Cork Institute of Technology (CIT) from 2005 to 2017, including a PhD in Location Management and Hybrid Geo-Routing (2014). Her research focuses on communication protocols for wireless systems, particularly in vehicular networks, IoT, and bioinformatics. She leads the Connected Autonomous Vehicles (CAV) working group in the SFI CONNECT Centre and chairs UCC's Athena Swan committee. Education: PhD (CIT, 2014), MEng (Research, 2006), BSc (2004) Grants: Over €3M in funding from SFI, EU, and industry, including the SFI Blended Autonomous Vehicle (BAV) Spoke and AWS grants Research interests include decentralized network solutions for autonomous systems, parallelized bioinformatics algorithms, and vehicular communication protocols. Awards include the 2021 National Teaching Hero Award and recognition at Áras an Uachtaráin for women in science. Labs/Teams: Leads CAV initiatives in CONNECT, collaborates with Jaguar Land Rover and Teagasc Outreach: Founded IWish Campus Day to promote STEM for girls, and chairs IT@Cork's Tech Talk Committee