Cardiff School of Management>Staff Profiles>Hassana Abdullahi

Dr Hassana Abdullahi

Department: Business, Management and Law

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Email: habdullahi@cardiffmet.ac.uk

Staff Overview

​​​​​I am a Lecturer in Operations and Supply Chain Management at the Cardiff School of Management. My main research interests are in the development of innovative optimisation models and solution methods to solve a wide range of complex real-world optimisation, scheduling, supply chain, logistics and recommender systems problems. I have over nine years of active research and experience in these areas which has led to academic publications in high-ranking journals and refereed conference proceedings.

I received my PhD in Operational Research from the University of Portsmouth, where I worked as the Postdoctoral Research Fellow on two projects; (1) the DfT funded Solent Future Transport Zone (FTZ) Mobility-as-a-Service (MaaS) project; and (2) the Interreg 2-seas Smart Light Concepts (SLIC) project.​

Teaching

​I am a Module Leader on Undergraduate and Postgraduate units, and I supervise MSc projects.

Research

​​My research areas include:

1. Heuristics, meta-heuristics, and learn-heuristics for combinatorial optimisation and scheduling problems: Exploration and development of heuristics, meta-heuristics, evolutionary algorithms, and multi-objective methods to solve complex real-world optimisation, Scheduling, and Logistics problems. Examples of applications: Manufacturing, Timetabling, Aircraft landing, Vehicle Routing etc.

a. Areas of applications: Logistics, Transportation and Vehicle Routing, Supply Chain Management, Inventory Management, Manufacturing and Production Scheduling, Healthcare, Public Lighting Systems, Intelligent Decision Support Systems and Sustainability.

2. Machine Learning algorithms and user behaviour modelling for personalisation in digital marketing.​

Key Publications

  1. ​H. Abdullahi, L. Reyes-Rubiano, D. Ouelhadj, J. Faulin, and A. A. Juan, “Modelling and multi-criteria analysis of the sustainability dimensions for the green vehicle routing problem," European Journal of Operational Research, vol. 292, no. 1, pp. 143–154, 2021.
  2. R. Esmeli, M. Bader-El-Den, H. Abdullahi, and D. Henderson, “Implicit feedback awareness for
    session based recommendation in e-commerce," SN Computer Science, vol. 4, no. 3, p. 320, 2023.
  3. R. Esmeli, M. Bader-El-Den, and H. Abdullahi, “An analyses of the effect of using contextual and
    loyalty features on early purchase prediction of shoppers in e-commerce domain," Journal of Business
    Research, vol. 147, pp. 420–434, 2022.
  4. R. Esmeli, M. Bader-El-Den, and H. Abdullahi, “Towards early purchase intention prediction in
    online session based retailing systems," Electronic Markets, vol. 31, pp. 697–715, 2021.
  5. H. Abdullahi, R. Esmeli, D. Ouelhadj, and A. A. Juan, “Hybrid simulation-optimization methods using
    machine learning," in The 23rd Conference of the International Federation of Operational Research
    Societies (IFORS 2023), 2023.
  6. H. Abdullahi, S. S. Sagmanli, N. Dadashzadeh, and D. Ouelhadj, “Mobility as a service (maas) and
    personalised multimodal journey planning and optimisation," in EURO 2022, 2022.
  7. R. Esmeli, M. Bader-El-Den, H. Abdullahi, and D. Henderson, “Improved session-based
    recommender system by context awareness in e-commerce domain.," in KDIR, 2021, pp. 37–47.
  8. R. Esmeli, M. Bader-El-Den, and H. Abdullahi, “Improving session based recommendation by diversity awareness," in Advances in Computational Intelligence Systems: Contributions Presented at the 19th UK Workshop on Computational Intelligence, September 4-6, 2019, Portsmouth, UK 19, Springer, 2020, pp. 319–330.

Other Projects and activities

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