Source Code Analysis Professors and Supervisors in Ireland

Jacopo Bisagniمشاهده پروفایل

مدرس

University of GalwayIreland

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.

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Abdul Razzaqمشاهده پروفایل

استادیار

University of LimerickIreland

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.

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Seán Russellمشاهده پروفایل

استادیار

University College DublinIreland

Seán Russell is an Assistant Professor in Computer Science at University College Dublin (UCD), affiliated with the School of Computer Science. He holds a BSc and PhD from UCD, as well as a Professional Diploma in University Teaching and Learning. His research spans agent-based simulation systems, multi-agent architectures, and computer science education. Notable contributions include work on hypermedia MAS, microservices for scalable simulations, and pedagogical strategies for non-native English speakers in CS1 courses. Education: BSc in Computer Science, University College Dublin PhD in Computer Science (details unspecified) Professional Diploma in University Teaching and Learning, University College Dublin Research Interests: Russell focuses on agent-oriented programming, distributed systems (microservices/REST), and innovative teaching methodologies. His work bridges theoretical agent architectures with practical applications like traffic simulation and waste management. Recent education-focused research addresses code quality in CS1, error message comprehension, and linguistic barriers for non-native English students. Grants & Awards: UCD College of Science Teaching Excellence Award (2022) OPTI-ROUTE Grant (2017–2018) Teaching & Learning Award (2021/2022) Teaching & Leadership: Coordinates modules in programming fundamentals (e.g., Intro to Programming 1, Object-Oriented Design) and serves as Vice Chair of the Ireland ACM SIGCSE Chapter. Supervised a PhD student (2019–2024).

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Geoff Hamiltonمشاهده پروفایل

دانشیار

Dublin City UniversityIreland

Dr. Geoff Hamilton is Associate Professor at Dublin City University's School of Computing. His research develops program transformation hierarchies for applications in theorem proving, verification, optimization, and energy-efficient computing. The distillation algorithm—a key contribution—achieves orders-of-magnitude efficiency gains over standard techniques. Work spans automated verification tools, termination provers, security protocol analyzers, and complexity bounds calculators. Recent publications focus on side-channel attacks, concurrency optimization, and tight complexity bounds for loop programs. Teaching includes comparative programming languages, cryptography, and formal methods. Research consistently advances transformation-based approaches for parallelization, verification, and resource analysis. Current directions include smart contract verification and energy-aware program optimization methodologies.

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Jim Buckleyمشاهده پروفایل

استاد

University of LimerickIreland

Software Reengineering
Empirical Software Engineering
Information Seeking in Software Engineering
+۷ مورد دیگر

Jim Buckley is a Professor in the Department of Computer Science & Information Systems at the University of Limerick, and a Principal Investigator at Lero – the Irish Software Research Centre. He holds a BSc in Biochemistry from the National University of Ireland, Galway (1989), followed by an MSc (1994) and PhD in Computer Science (2002) from the University of Limerick. His research focuses on software reengineering, empirical software engineering, and source code analysis, with notable contributions to clone detection, software architecture recovery, and AI-driven code generation. He led the TREES Centre, a €6M industry-funded initiative, and currently oversees three research teams at Lero investigating large-scale clone detection, deep learning architecture recovery, and AI-generated source code. His work intersects technical innovation with societal impact, such as ethical software engineering and pandemic response technologies like contact tracing apps. Key research themes include software architecture consistency, feature location, and developer experience optimization. He has published over 118 peer-reviewed articles and received a Research Impact award from Lero. His contributions span open-source tool development, empirical studies in software practices, and interdisciplinary projects addressing global challenges like public health and cryptocurrency equity. Education: BSc Biochemistry, National University of Ireland, Galway (1989) MSc Computer Science, University of Limerick (1994) PhD Computer Science, University of Limerick (2002) Awards: Research Impact Award, Lero (2021) Labs/Teams: TREES Centre (Trustworthy, Responsible, Efficient Engineering of Software) Three core Lero teams: Clone Detection, Architecture Recovery, and AI-Code Generation

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Mark Pagellمشاهده پروفایل

استاد

University College DublinIreland

Mark Pagell is a Full Professor of Global Leadership and Sustainable Supply Chain Management at the School of Business, University College Dublin. He holds a PhD in Operations and Sourcing Management from Michigan State University (1997). His research focuses on sustainable supply chains, occupational safety, social sustainability, and ethical practices in supply networks. He served as Co-Editor-in-Chief of the Journal of Supply Chain Management (2016–2022) and received the Distinguished Scholar Award from the OSCM Division of the Academy of Management (2020). Pagell has authored over 100 peer-reviewed articles in top journals like Management Science and Journal of Operations Management , earning multiple awards for his work. His research explores paradoxes in supply chains, such as balancing social and commercial objectives, and addressing precarious work conditions. He has pioneered studies on temporary workers' impact on innovation, IT-enabled supply chain integration, and the role of social enterprises in fostering DEI. Pagell also led a Marie Curie Fellowship project (2009–2010) on sustainable supply chain management. Education: PhD in Operations and Sourcing Management, Michigan State University (1997) Awards: Emerald Citations of Excellence, Best Paper Awards in multiple journals Teaching: Coordinates modules like Applied Sustainable SCM Analytics , Sustainable Logistics , and Sustainable Production and Consumption . Pagell’s work bridges theory and practice, emphasizing actionable solutions for socially and environmentally sustainable supply chains. His recent studies address post-growth paradigms, cost-effective charity operations, and the ethical dilemmas in financially distressed firms.

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Jim Buckleyمشاهده پروفایل

استاد

University College CorkIreland

Software Engineering
Software Evolution
Artificial Intelligence for Software Engineering
+۵ مورد دیگر

Jim Buckley is a Professor in the Computer Science and Information Systems Department at the University of Limerick, Ireland, and a Principal Investigator in Lero. He leads the ARC research group focused on software evolution and legacy system modernization, with significant industry collaborations including Huawei, IBM, and Fidelity. Education: BSc in Biochemistry, University of Galway (1989) MSc in Computer Science, University of Limerick (1994) PhD in Computer Science, University of Limerick (2002) Research Focus: His work centers on AI-enhanced software engineering (AI4SE/SE4AI), featuring breakthroughs in clone detection, software architecture evaluation, and feature location. He has developed industry-adopted tools for software comprehension and evolution, with recent emphasis on explainable AI (XAI) and scalable neural network applications for industrial codebases. His research consistently bridges academic rigor with industrial implementation. Publication Trends: Recent articles (2022-2025) reveal a dominant shift toward AI-driven software engineering solutions, particularly in clone detection and architecture recovery. Key themes include industrial scalability, developer experience optimization, and responsible AI integration, with strong representation in top-tier venues like IEEE Transactions and ACM Computing Surveys. Scientific Awards: No awards specified in source material. Grants & Industry Impact: Leads the Huawei-funded TREES Programme and maintains active partnerships with 9+ companies. His research has yielded licensed tools (e.g., for legacy system evolution), two IP assignments from LLM-based clone detection work, and practical frameworks adopted by seven Irish enterprises. Research Infrastructure: Directs the ARC group within Lero, which combines academic researchers and industry practitioners to address real-world software maintenance challenges through empirical studies and tool prototyping.

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