Samuel Abedu
Samuel Abedu

PhD Candidate in Software Engineering · Concordia University

PhD Candidate and Software Engineer Building Reliable AI Systems for Developers

I research, develop and evaluate LLM-based systems that help developers understand, maintain and review software repositories.

Researcher-engineer

I publish software-engineering research and build AI systems in production settings — including work at Hubtel, Sandoz, and the National Bank of Canada.

Current roles

  • PhD Candidate, Concordia University
  • Intern, National Bank of Canada
  • Program Committee Member, MSR 2027
  • Reviewer, Information and Software Technology

Selected publications

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  • 2026·Journal

    Synergizing LLMs and Knowledge Graphs: A Novel Approach to Software Repository-Related Question Answering

    S. Abedu, S. Khatoonabadi, E. Shihab

  • 2026·Workshop

    Developer Challenges in the Adoption of Model Context Protocol in AI Agent Development

    O. Oyelayo, S. Abedu, S. Khatoonabadi, E. Shihab

  • 2026·Workshop

    Experiences Developing an AI Chatbot in the Pharmaceutical Industry

    S. Abedu, S. Owolabi, M. S. Ruiz Rodriguez, A. Yuen, C. Lim Ah Tock, A. Zaraket, A. Abdellatif, E. Shihab, N. Nasseri

  • 2025·Preprint

    The Impact of Large Language Models (LLMs) on Code Review Process

    A. Collante, S. Abedu, S. H. Khatoonabadi, A. Abdellatif, E. Alor, E. Shihab