معرفی
Andrew Fagan is a Lecturer in the Department of Computer and Information Sciences at the University of Strathclyde, working within the Faculty of Science. He is also affiliated with the Advanced Nuclear Research Centre in the department of Electronic and Electrical Engineering.
Education:
- MEng in Computer and Electronic Systems (University of Strathclyde, 2019 with distinction)
Research Interests:
- Design of safe, explainable artificial intelligence systems
- Human-in-the-loop AI for industrial applications
- Digitisation of engineering drawings for legacy equipment access
- Quantum computing optimisation techniques
- Computer science education innovations
Recent Publications Trends: His 2025 papers focus on generative AI applications for programming education, while earlier works address engineering digitization and quantum circuit optimization. Key themes include AI explainability, human-machine collaboration, and educational technology solutions.
Professional Activities:
- Speaker at the Double Acts for Demystifying Subroutine Calling Conventions event (2025)
- Contributor to the Accelerate Schools Programme Computer Science Challenge (2025)
- Organiser of the 8th Conference on Computing Education Practice (2024)
Labs & Teams: Works closely with the Advanced Nuclear Research Centre and has cross-departmental collaboration with Electronic and Electrical Engineering. Participates in the RoVER VIP (Vertically Integrated Projects) team during his MEng studies.
