Dr Samer Bamansoor

• Curriculum design, validation and quality assurance (UK HE).
• Project supervision (UG/PG); research methods and academic skills coaching.
• Transnational education (TNE) partnership coordination and link tutoring.
• Student recruitment strategy; Open Day/Taster Day coordination.
• E-commerce/social commerce adoption; AI & data analytics for ERP/IS personalisation
• Stakeholder engagement with industry (KTP-style projects, hackathons, summer schools).

• Ph.D. in Computer & Information Technology – MEDIU, Malaysia.
• PGCert Learning & Teaching in HE / Academic Professional Apprenticeship, Birmingham City University.
• M.Sc. in Information Technology Management – Staffordshire University, UK
• B.Sc. in Information Technology – University of Aden, Yemen.

Samer teach across undergraduate and postgraduate courses, focusing on research methods, project management, software engineering practice, and project supervision. Recent activity includes:

• CMP7158 Research Methods & Project Management (MSc) – lectures, seminars, assessment design.
• CMP7200 Individual Master’s Project (MSc) – supervision, assessment and viva support.
• Final Year Project (All undergraduate courses in the department) – supervision and examination.

Practice-led, research-informed, and inclusive pedagogy. Assessments emphasise authentic tasks, scaffolded research skills, and industry engagement (live briefs, hackathons, KTP-aligned projects). Weekly supervision logs and clear feedback cycles support progression and attainment.

• AI-driven personalisation in ERP/enterprise systems
• E-commerce and social commerce adoption
• digital transformation and information systems success
• learning analytics and data-informed pedagogy

Current activities include supervising MSc/PhD projects in AI-ERP personalisation and collaborating with industry on digital transformation.

Supervision of MSc dissertations in AI/ML, information systems, ERP personalisation, digital transformation, and data analytics. Also, Samer serve as the Director of Studies (DoS) for the APART PhD project — Adaptive AI ERP Interfaces (APART) — leading research on AI-driven personalisation in ERP systems (user-centred design with ML/NLU/NLG), and overseeing research design, ethics, milestones and the publication pipeline.

• Hashempoor, M., Shahra, E.Q., Basurra, S., Bamansoor, S. (2024). Deep Learning Approaches for Automated Fish Species Classification Using Underwater Images: A Two-Phase Model with Data Augmentation. In: Saeed, F., Mohammed, F., Mohammed, E., Basurra, S., Al-Sarem, M. (eds) Advances on Intelligent Computing and Data Science II. ICACIn 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 255. Springer, Cham. https://doi.org/10.1007/978-3-031-91354-9_4
• Oyegbile, O., Saeed, F., & Bamansoor, S. (2023). Hybrid Filter Feature Selection for Improving Cancer Classification in High-Dimensional Microarray Data. Advances in Intelligent Computing Techniques and Applications (pp. 293–305). Springer. doi:10.1007/978-3-031-59707-7_26.
• Bamansoor, S., Al-Sammarraie, N. A., & Saany, S. I. A. (2022). Malaysian Students Adoption for Social Commerce Activities. Turkish Online Journal of Qualitative Inquiry, 13(1).
• S. Bamansoor, B. kayode, A. K. Alhazmi and S. I. Ahmad Saany, "The Adoption of Social Learning Systems in Higher Education: Extended TAM," 2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE), Shah Alam, Malaysia, 2018, pp. 1-7, doi: 10.1109/ICSCEE.2018.8538371.

Collaboration with industry on digital transformation (including KTP-style partnerships), industry-mentored dissertations, and regional innovation activities (e.g., HealthTech hackathons).

• LinkedIn