Find Academic Supervisors

• Artificial Neural Networks
• Anomaly Detection
• Machine Learning
• +4 more

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

Salim SaayView profile

Associate Professor

• Software Architecture Design
• Low-Code/No-Code Development
• Organizational Collaboration
• +5 more

Salim Saay is an Associate Professor in the Department of Computer Science & Information Systems at the University of Limerick, and a Researcher at Lero—the SFI Research Centre for Software and R@ISE. He holds a Ph.D. in Software Engineering from Tallinn University, Estonia, and prior academic roles include Lecturer at Athlone Institute of Technology and Associate Professor at Kabul University. His research focuses on software architecture design, low-code/no-code systems, secure collaboration platforms, blockchain, and AI-driven technologies. He is funded by SFI, EC, USAID, and NATO, leading projects like the R@ISE initiative for LCNC adoption in Ireland. Education: Ph.D., Software Engineering, Tallinn University, Estonia Master's, Computer Science, University of the Western Cape, South Africa Bachelor's, Computer Science, Kabul University Research Interests: Dr. Saay integrates emerging technologies to enhance system security, scalability, and efficiency, particularly in educational and organizational contexts. Current projects include secure school collaboration platforms, blockchain-based MOOCs for sustainability, and AI-driven robotic technology research. Grants & Projects: R@ISE Project: LCNC adoption in Ireland (Funded by SFI) Blockchain for Environmental Sustainability MOOC AI-Driven Collaborative Robotics Platform Labs & Teams: Active in Lero, R@ISE, and the Limerick Digital Cancer Research Centre. Collaborates internationally on e-Learning infrastructure and NRENs (National Research and Education Networks).

• Bioinformatics
• Evolutionary Genomics
• Microbiology
• +6 more

Dr. Jamie McGowan is a Lecturer in Genetics at the School of Biomolecular and Biomedical Science, University College Dublin. With an interdisciplinary background in Biology and Computer Science, their research focuses on bioinformatics, evolutionary genomics, and microbial eukaryotes, particularly protists and fungi. They previously held a postdoctoral position at the Earlham Institute, contributing to the Darwin Tree of Life Project. Education: Double Honours BSc in Biology and Computer Science, Maynooth University PhD in Genomics, Maynooth University Research Interests: Bioinformatics Evolutionary Genomics Microbial Eukaryotes Pathogen Genomics Single-Cell Genomics Genetic Code Variants Publications: 15 most recent articles span genomics of yeast strains for biofuel production, genetic code reassignments in ciliates, fungal pathogen effector analysis, and comparative studies of oomycetes threatening global ecosystems.

• Organization
• Innovation
• Development
• +3 more

Dr. Gianluca Miscione is a Lecturer/Assistant Professor at the School of Business, University College Dublin (UCD), where he has been since 2012. His research explores the intersection of organization theory, blockchain governance, information infrastructures, and trust , with a focus on qualitative and mixed methodologies. He has held appointments at the University of Twente and the University of Oslo, and his work spans global contexts including Europe, Latin America, India, and East Africa. PhD in Information Systems and Organization from the University of Trento (Italy) MA from the University of Turin His research interests bridge Blockchain, Digital Innovation, Organizational Change, and Trust . He has contributed to understanding the governance of blockchain systems, the role of journalists in the age of digital leaks, and trust dynamics in mobile banking. His academic career includes a Diana Forsythe Award (2008) and a Best Paper Award at HICSS 2019 . Dr. Miscione's teaching emphasizes real-world case studies and practical tasks, coordinating modules like Digital Infrastructure and Global Information Systems . He is actively involved in professional associations such as the Association of Information Systems (AIS) and the Blockchain Association of Ireland , and has served on editorial boards and PhD committees. His work on blockchain consortia, information systems in developing countries, and digital governance continues to shape policy and academic discourse.

• Data Mining
• Distributed Systems
• Cloud Computing
• +4 more

Professor Mohand Tahar Kechadi is a Full Professor at the School of Computer Science, University College Dublin (UCD), where he has been since 1999. His research focuses on Data Mining, Distributed Systems, Digital Forensics, and Healthcare Informatics. He has published over 260 articles and serves on editorial boards of journals like Future Generation Computer Systems and IST Transactions . He also holds roles in academic leadership, including directing UCD’s international BSc program in Sri Lanka and previously serving as Head of Teaching and Learning (2007–2012). Education: PhD and DEA (MSc) in Computer Science from the University of Lille, France; HDip in University Teaching & Learning from UCD. Research: Explores challenges in big data processing, including distributed data mining, cloud computing, and privacy-preserving techniques. Recent work addresses applications in healthcare (e.g., wearable devices, medical imaging), agriculture (precision farming), and cybersecurity (blockchain, IoT trust management). Grants: Led a grant on evaluating sugar-sweetened beverage taxes (2018–2019). Collaborates on projects like BigO, a public health decision support system for pediatric obesity. Teaching: Coordinates modules in Cloud Computing, Data Mining, and Distributed Systems. Developed a code-free cloud service for biomedical signal processing and advocates inclusive assessment strategies. Awards: None explicitly stated. Recognized for contributions to interdisciplinary research and education.

Liliana PasqualeView profile

Associate Professor

• Cybersecurity
• Requirements Engineering
• Adaptive Systems
• +4 more

Liliana Pasquale is an Associate Professor at the School of Computer Science, University College Dublin (UCD), and a funded investigator at Lero – the SFI Research Centre for Software. She holds a PhD in Information and Communication Technology from Politecnico di Milano (2011) and has conducted research at IBM TJ Watson Research Center (2008). Her research focuses on requirements engineering, adaptive security, forensic readiness, and GDPR compliance in cyber-physical systems, with applications in transportation networks, industrial control systems, and smart spaces. **Education**: PhD in Information and Communication Technology (Politecnico di Milano, 2011); Professional Certificates in University Teaching & Learning (UCD). **Research Interests**: She investigates adaptive security mechanisms, forensic readiness for software systems, and runtime models for complex systems. Key areas include vulnerability assessment of transportation networks, stealthy attack detection in industrial systems, and human-centric cybersecurity for smart homes. **Grants & Awards**: Recipient of the Lero Research Award (2024), Runner-Up for IEEE Best Paper Award (2023), and numerous best reviewer recognitions. Active in grant initiatives such as the €1.2M 'Towards Forensic-Ready Software Systems' (2018–2019). **Teaching**: Coordinates UCD's MSc in Cybersecurity, including modules like 'Secure Software Engineering' and 'Leadership in Security'. Develops blended learning strategies for professional learners. **Professional Activities**: Serves on program committees for ICSE, SEAMS, and FSE. Co-chaired the Student Volunteer Committee for ESEC/FSE 2024 and participates in industry collaborations through UCD’s IT Strategy Group. **Lab/Teams**: Leads the SPARE research group, focusing on secure software engineering and adaptive systems. Collaborates with Lero and industry partners on cybersecurity challenges.

• Generative AI
• Computer Vision
• Deep Learning
• +6 more

Dr. Mohamed Saadeldin is an Assistant Professor at the School of Computer Science, University College Dublin (UCD). He holds a B.Sc. (Honours) in Electrical & Electronic Engineering from the University of Khartoum (2005) and a Ph.D. in Computer Science from UCD (2013). His research spans generative AI, computer vision, and foundation models, with applications in healthcare, biomedicine, robotics, and energy. Recently, he has focused on AI-driven solutions for healthcare disparities, such as automated breast cancer screening using low-cost ultrasounds, and multimodal foundation models for precision medicine. He also explores LLM-driven UAV navigation and energy grid management using transformer models. Education: B.Sc. (Honours) in Electrical & Electronic Engineering, University of Khartoum, 2005 Ph.D. in Computer Science, University College Dublin, 2013 Teaching: Coordinates modules in Computer Graphics, Data Structures and Algorithms, and Mobile Computing at UCD’s joint college in China (BDIC). His research interests include generative AI for healthcare, computer vision in robotics, and deep learning for agricultural optimization. Notable projects include vision foundation models for medical imaging, collaboration with Systems Biology Ireland on multimodal models for drug repurposing, and energy grid management via smart meter data analysis. He has authored/co-authored over 30 publications, including IEEE transactions and book chapters. Grants and collaborations involve industry partnerships on load disaggregation and academic projects like VistaMilk for dairy sector applications. His early work on ultrasonic systems for indoor localization and gesture control demonstrates his long-standing expertise in signal processing and human-AI interaction.

Emer HuntView profile

Assistant Professor

• Tax Law
• International Taxation
• Legal Ethics
• +4 more

Emer Hunt is an Assistant Professor at the Sutherland School of Law, University College Dublin, specializing in tax law, legal ethics, and international taxation. Her research focuses on state aid laws, tax dispute resolution, and the intersection of tax policies with historical and contemporary socio-economic contexts. She holds a PhD from UCD Smurfit Graduate School of Business, examining the impact of state aid laws on multinational corporate tax rulings. Educated at Trinity College Dublin (LLB), London School of Economics (LLM), and UCD (PhD), Hunt has extensive professional experience as a tax lawyer in leading firms across London, New York, and Dublin. She served as a partner in Ireland’s leading commercial law firm and acted as a solicitor in England & Wales and Ireland. Her roles include: Member, Human Research Ethics Committee (Sciences) – UCD Chair, Law School Research Ethics Committee Deputy Chair, Centre for Common Law in Europe Member, European Commission’s Tax Dispute Resolution Mechanisms Advisory Group Hunt’s scholarly work critiques tax avoidance strategies, EU state aid rulings (e.g., the Ireland-Apple case), and the evolution of tax systems in post-colonial contexts. She has conducted research stints at Université de Lyon III and Columbia Law School. Her SubStack blog, 'Tax Thoughts', analyzes high-profile tax litigation and policy debates. Her professional qualifications include Chartered Tax Adviser status and certifications in university teaching. Despite no listed awards, her contributions to tax law education and litigation have been impactful. Grants and lab affiliations are not explicitly mentioned in the provided texts.

• Cystic Fibrosis
• Lung Cancer
• Cancer Therapeutics
• +7 more

Judith Coppinger is a Senior Lecturer at RCSI's School of Pharmacy and Biomolecular Sciences, with dual affiliation as Principal Investigator at the National Children’s Research Centre since 2017. Her academic journey includes a PhD in Pharmacology from RCSI (2004), postdoctoral training at the Scripps Research Institute (2005-2011), and faculty roles at UC San Diego (2011-2013) and University College Dublin (2013-2017). Her research focuses on omics-based approaches to uncover dysregulated protein interactions in diseases like cystic fibrosis and cancer, with a particular emphasis on exosome-mediated signaling, kinase inhibitors for CFTR restoration, and BAG3 as a cancer therapeutic target. Key research areas include cystic fibrosis pathophysiology, lung cancer signaling pathways, and translational therapeutics. Her work spans basic science to clinical translation, such as investigating exosomes as biomarkers for disease progression and targeting the PI3K/Akt/mTOR pathway in cystic fibrosis. She has secured major grants including Science Foundation Ireland funding for exosome-based therapies and the Cystic Fibrosis Foundation for EV biomarker studies in CF. Judith has received awards including the Career Development Award (2014), Isenberg Fellowship (2011), and New Investigators Travel Award (2010). Her lab at RCSI collaborates with Trinity College Dublin and the National Children’s Research Centre to advance research in respiratory medicine and cancer biology. Teaching and supervision activities are integral to her role, contributing to training future biomedical researchers.

Sparky BookerView profile

Assistant Professor

• Irish Social History
• Irish Medieval History
• History of Women and Gender
• +1 more

Dr. Sparky Booker is an Assistant Professor in Medieval Irish History at Dublin City University's School of History and Geography since 2021. Previously, she served as a lecturer at Queen’s University Belfast (2016–2021) and held postdoctoral roles at Swansea University (2014–2016). Her research focuses on Irish social history, medieval legal frameworks, gender dynamics, and cultural exchange in late medieval Ireland. She authored the award-winning monograph *Cultural Exchange and Identity in Late Medieval Ireland* (2018) and co-edits *Studia Hibernica*. Active in academic committees, she serves on the Friends of Medieval Dublin and Irish Legal History Society. A Fellow of the Higher Education Authority since 2019, she teaches courses like 'Medieval History' (HY234) and 'Medieval Ireland' (HY223). Research interests include Irish clergy networks (2014), intermarriage patterns between English and Irish elites (2013), and legal agency of medieval women. Her work bridges legal, social, and gendered dimensions of colonial Ireland. Recent publications analyze sumptuary laws (2021), women’s legal roles (2022), and ethnic enclaves (2022). Awards include dual recognition from the American Conference for Irish Studies (2019). Outreach activities include public lectures on medieval Dublin’s history.

Meghana KshirsagarView profile

Assistant Professor

• Machine Learning
• Artificial Intelligence
• Evolutionary Computation
• +4 more

Meghana Kshirsagar serves as Assistant Professor in the Department of Computer Science & Information Systems at the University of Limerick, with dual appointments at Lero – the Irish Research Centre for Software and the Limerick Digital Cancer Research Centre. Her interdisciplinary work bridges computer science with healthcare innovation, focusing on real-world applications of advanced computational techniques. Her research spans Machine Learning, Artificial Intelligence, Evolutionary Computation, Blockchain, Digital Health, Large Language Models, and Digital Twins. She develops novel algorithms like grammatical evolution for hyperparameter optimization and blockchain frameworks for secure healthcare data sharing, with applications in cancer risk stratification, hip fracture pathway modeling, and financial portfolio optimization. Her work consistently addresses ethical AI implementation and sustainable computing practices. Analysis of her 52+ publications (2011-2025) reveals three dominant trends: (1) Evolutionary computation techniques for symbolic regression and digital circuit design, (2) Blockchain applications in healthcare data security and scientific collaboration, and (3) Responsible AI implementations in medical diagnostics and finance. Her recent focus emphasizes mitigating algorithmic bias in cancer diagnostics and sustainable hyperparameter optimization. As an active member of Lero and the Limerick Digital Cancer Research Centre, she collaborates with clinicians, data scientists, and industry partners to translate research into clinical tools. Her work contributes to UN Sustainable Development Goals through digital health innovations that improve healthcare accessibility and efficiency.

Lee CoffeyView profile

Lecturer

• Molecular Biology
• Biopharmaceutical Science
• Gene Therapy
• +5 more

Dr Lee Coffey is a Lecturer and Principal Investigator at the Department of Science, South East Technological University (SETU). He leads the Molecular Biotechnology and Biopharmaceutical Research Group at the Pharmaceutical and Molecular Biotechnology Research Centre (PMBRC). His research focuses on molecular biology applications in biopharmaceuticals, gene therapy, industrial enzymes, and DNA data storage. Coffey has secured over €2M in research funding as principal investigator and has supervised fourteen PhD candidates and postdoctoral researchers. He founded BIOENZ Technologies Ltd., a spin-out company licensing ~4000 biological technologies. Education: PhD in Molecular Biology (2007), BSc in Applied Biology with Quality Management (2002) Research interests include genome editing, synthetic biology, directed evolution, and bio-cybersecurity. He has licensed 1400+ technologies to global companies and holds 5 pending patents. Awards include the 2022 SETU Research Excellence Award and multiple National Forum Teaching Hero Awards (2020–2021). Key grants and patents span biopharmaceuticals, nanotechnology, and molecular computing. His work bridges academia and industry, emphasizing commercialization of research outputs.

Jacopo BisagniView profile

Lecturer

• Historical Linguistics
• Indo-European Linguistics
• Celtic Linguistics
• +8 more

Jacopo Bisagni is a Lecturer at the School of Languages, Literatures, & Cultures, University of Galway. He specializes in Celtic and Indo-European linguistics, with a focus on medieval manuscript transmission and bilingualism. His academic profile includes extensive teaching in Latin, historical linguistics, and Hiberno-Latin studies. Education: PhD from NUI Galway (2008), Classics and Celtic Linguistics from University of Pisa (2004) His research explores early medieval Irish religious literature , manuscript transmission across Ireland, Brittany, and Francia, and computus (medieval time-reckoning systems). Additional interests include medieval martial culture , historical bilingualism, and the study of musical terminology in early Irish sources. Recent publications focus on early medieval scientific traditions, Breton manuscripts, and multilingualism in computistical texts. He has secured significant funding including the Irish Research Council Laureate Award and Marie Curie supervisory grants. Key Awards: Irish Research Council Laureate Award (2018) Marie Curie Postdoctoral Fellowships (Supervisor, 2023) Lady Gregory Fellowship (2005) Italian Ministry Student Mobility Grant (2004) Bisagni leads the Lutegerus Project on late medieval combat manuals and supervises postgraduate research including Dr Colleen Curran's Breton Palaeography project (2023-2025). His work bridges linguistic analysis, manuscript studies, and cultural history across early medieval Europe.

Ian GroutView profile

Associate Professor

• Mixed-Signal Integrated Circuit Design
• Test Technology Education
• Mechatronics
• +5 more

Ian Grout serves as Associate Professor in the Department of Electronic and Computer Engineering within the Faculty of Science and Engineering at the University of Limerick, Ireland, and is affiliated with the Optical Fibre Sensors Research Centre. His academic career spans over 25 years with continuous research output since 1994, focusing on hardware design and engineering education methodologies. His educational background includes: Ph.D. in Electronic Engineering from Lancaster University (awarded 1994) B.Eng. in Electronic Engineering from Lancaster University (awarded 1991) Dr. Grout's research integrates Mixed-Signal Integrated Circuit Design, Test Technology Education, and Sensor System Design using FPGAs with innovative educational approaches. His work bridges theoretical hardware development and practical implementation, particularly in remote laboratory experimentation and mechatronics systems. The fingerprint analysis of his 152 publications reveals dominant expertise in Field Programmable Gate Arrays (100%), Computer Hardware (61%), and Application Specific Integrated Circuit design (61%), with significant contributions to Teaching and Learning methodologies (56%). Recent publications (2023-2024) demonstrate a clear trajectory toward optimizing hardware testability for emerging architectures like processing-in-memory cores while advancing educational tools for embedded systems programming. His work shows increasing integration of machine learning concepts with traditional circuit design and a sustained focus on practical educational implementations through European collaborations like the Erasmus+ DIG-SENSING program. Professional engagements include active membership in the Institution of Engineering and Technology (IET), International Microelectronics and Packaging Society (IMAPS), and service on the UK EPSRC Peer Review College. He previously chaired the Educational ECAD User Group (EEUG) from 2001-2002 and maintained committee membership until 2005. At the University of Limerick, Dr. Grout contributes to the Optical Fibre Sensors Research Centre where his FPGA-based sensor system designs support advancements in optical sensing technologies. His current work involves developing remote laboratory frameworks for electrical engineering education while maintaining active research in integrated circuit test methodologies.

Abdul RazzaqView profile

Assistant Professor

• AI-driven Software Engineering
• Developer Experience
• Software Metrics and Evaluation
• +7 more

Dr. Abdul Razzaq is an Assistant Professor in the Department of Computer Science & Information Systems at the University of Limerick, affiliated with Lero – the Irish Software Research Centre. His research focuses on AI-driven software engineering, developer experience, empirical software analytics, and cloud computing, aiming to enhance developer productivity and bridge academic-industry gaps. He holds a PhD in Software Engineering from Lero, with prior degrees in Computer Science. His work has yielded 432 citations and led to industry-adopted tools like JITTAC licensed by Huawei. Education: PhD (2019, Lero), MSc & BSc in Computer Science. Research interests include AI applications in code parsing/refactoring, developer context modeling, and tool standardization. He actively supervises PhD/MSc students in AI, NLP, and software engineering, emphasizing research scaffolding and guided autonomy. Publications appear in ACM TOSEM, IEEE TSE, and EMSE. Industry collaborations include Huawei, ACI Worldwide, and GLOCC Group. He contributes to education through UDL principles in curriculum design and led QQI revalidation for Data Analytics programs. Engagements include COVIGILANT project and AI policy discussions. Member of ACM & IEEE, with reviewing roles at IEEE TSE and Wiley JSEP.