Home \ Faculty Details \ Hassana Abdullahi
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  • Phone:

  • Email:

    habdullahi@pmu.edu.sa

  • Office No:

    F099

  • Hassana Abdullahi

  • Job Title :

    Assistant Professor

  • College :

    College of Business Administration


  • Department :

    Business Administration


Dr. Hassana is an Assistant Professor in the Department of Business Administration at the College of Business Administration, Prince Mohammad Bin Fahd University (PMU). She holds a PhD in Operational Research and an MSc in Logistics and Supply Chain Management both from the University of Portsmouth, UK, and a Postgraduate Certificate in Teaching in Higher Education from Cardiff Metropolitan University, UK. She is also a Fellow of the UK Higher Education Academy (FHEA), demonstrating her commitment to excellence in teaching, learning, and academic leadership.

With over 13 years of teaching and research experience, Dr. Hassana has taught and led modules across undergraduate, postgraduate, and MBA programmes, including Supply Chain Analytics, Contemporary Operations Management, Production and Operations Management, and Global Logistics. Her teaching philosophy emphasises inclusivity, collaborative learning, and experiential education, integrating real-world scenarios, simulations, and reflective activities to foster critical thinking and engagement among diverse learners.

Her research interests lie in optimisation modelling, simulation, and machine learning applications in supply chain management, logistics, healthcare operations, decision support systems and the application of AI and data analytics to improve supply chain and public service efficiency. Her publications include papers in high-impact journals, such as the European Journal of Operational Research, and she has received Best Paper Awards and multiple SEIO Best Paper nominations (2023, 2024, 2025).

Aligned with PMU’s vision and Saudi Arabia’s Vision 2030, Dr. Hassana aims to advance excellence in teaching, applied research, and innovation in smart logistics and green infrastructure priorities, potentially integrating local data and collaborating with regional policy makers.

 

Post Graduate Certificate Teaching in Higher Education (PGCTHE),  FHEA, Cardiff Metropolitan University, UK
 
PhD in Operational Research, University of Portsmouth, UK
 
MSc in Logistics and Supply Chain Management, University of Portsmouth, UK
 
BSc in Economics, Nasarawa State University Keffi, Nigeria

Journal Papers Published
 
Abdullahi, H., Reyes-Rubiano, L., Ouelhadj, D., Faulin, J. and Juan, A.A. (2025) 'A reliability-extended simheuristic for the sustainable vehicle routing problem with stochastic travel times and demands', Journal of Heuristics, 31(19). Available at: https://doi.org/10.1007/s10732-025-09555-4.
 
Esmeli, R., Abdullahi, H., Bader-El-Den, M. and Can, A.S. (2024) 'Session context data integration to address the cold start problem in e-commerce recommender systems', Decision Support Systems, 187, 114339. Available at: https://doi.org/10.1016/j.dss.2024.114339.
 
Esmeli, R., Bader-El-Den, M., Abdullahi, H. and Henderson, D. (2023) 'Implicit feedback awareness for session based recommendation in e-commerce', SN Computer Science, 4(3), 320. Available at: https://doi.org/10.1007/s42979-023-01752-x.
 
Esmeli, R., Bader-El-Den, M. and Abdullahi, H. (2022) '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, 147, pp. 420-434. Available at: https://doi.org/10.1016/j.jbusres.2022.04.012.
 
Abdullahi, H., Reyes-Rubiano, L., Ouelhadj, D., Faulin, J. and Juan, A.A. (2021) 'Modelling and multi-criteria analysis of the sustainability dimensions for the green vehicle routing problem', European Journal of Operational Research, 292(1), pp. 143-154. Available at: https://doi.org/10.1016/j.ejor.2020.10.028.
 
Esmeli, R., Bader-El-Den, M. and Abdullahi, H. (2021) 'Towards early purchase intention prediction in online session based retailing systems', Electronic Markets, 31, pp. 697-715. Available at: https://doi.org/10.1007/s12525-020-00448-x.
 
 
Conference Publications
Almouhanna, A., Abdullahi, H. and Juan, A.A. (2024) 'Hybrid randomised and greedy technique as a novel approach to solve the open vehicle routing problem (ovrp)', in The 33rd European Conference on Operational Research (EURO 2024).
 
Bayliss, C., Ouelhadj, D., Dadashzadeh, N., et al. (2024) 'Multi-modal journey optimisation using integrated shortest path algorithms and machine learning', in The 33rd European Conference on Operational Research (EURO 2024).
 
Abdullahi, H., Esmeli, R., Ouelhadj, D. and Juan, A.A. (2023) 'Hybrid simulation-optimization methods using machine learning', in The 23rd Conference of the International Federation of Operational Research Societies (IFORS 2023).
 
Esmeli, R., Abdullahi, H., Bader-El-Den, M. and Al-Gburi, A. (2023) 'Bias in recommender systems: Item price perspective', in International Conference on Innovative Techniques and Applications of Artificial Intelligence. Springer, pp. 421-433. Available at: https://doi.org/10.1007/978-3-031-47994-6_37.
 
Abdullahi, H., Sagmanli, S.S., Dadashzadeh, N. and Ouelhadj, D. (2022) 'Mobility as a service (maas) and personalised multimodal journey planning and optimisation', in EURO 2022. Available at: https://euro2022espoo.com/conference-programme/publications/.
 
Esmeli, R., Bader-El-Den, M., Abdullahi, H. and Henderson, D. (2021) 'Improved session-based recommender system by context awareness in e-commerce domain', in KDIR 2021, pp. 37-47. Available at: https://doi.org/10.5220/0010656100003064.
 
Esmeli, R., Bader-El-Den, M. and Abdullahi, H. (2020) '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, pp. 319-330. Available at: https://doi.org/10.1007/978-3-030-29933-0_27.
 
Esmeli, R., Bader-El-Den, M. and Abdullahi, H. (2020) 'Session similarity based approach for alleviating cold-start session problem in e-commerce for top-n recommendations', in KDIR 2020, pp. 179-186. Available at: https://doi.org/10.5220/0010107001790186.
 
Esmeli, R., Bader-El-Den, M. and Abdullahi, H. (2020) 'Using word2vec recommendation for improved purchase prediction', in 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 1-8. Available at: https://doi.org/10.1109/IJCNN48605.2020.9206871.
 
Esmeli, R., Bader-El-Den, M., Abdullahi, H. and Henderson, D. (2020) 'Improving session-based recommendation adopting linear regression-based re-ranking', in 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 1-8. Available at: https://doi.org/10.1109/IJCNN48605.2020.9207680.
 
Abdullahi, H., Ouelhadj, D. and Esmeli, R. (2019) 'Multi-criteria decision making: Decision making for sustainable public lighting systems', in OR61 Annual Conference.
 
Abdullahi, H., Ouelhadj, D., Reyes-Rubiano, L. and Juan, A.A. (2019) 'A sim-br algorithm for the stochastic vehicle routing problem with sustainability dimensions', in OR61 Annual Conference.
 
Abdullahi, H., Ouelhadj, D., Jones, D. and Juan, A.A. (2015) 'A biased randomised clark and wrights savings heuristic for the time dependent pollution routing problem', in 27th European Conference on Operational Research (EURO 2015).
 
 
Reports
 
Steel, E., Grigorie, A., Hulson-Jones, A., Sultana, F., Abdullahi, H., Aminu, N., Sibieta, L., Egan, D. and Hughes, C. (2024) A school level review of the pupil development grant (pdg). CIEREI Institute of Education Research, Bangor University, Cardiff Metropolitan University Sibieta Economics of Education, Wales, United Kingdom, Welsh Government Report WG50237. Available at: https://www.gov.wales/school-level-review-pupil-development-grant-pdg.

 

Joint project with Cardiff School of Education, Bangor University, and Welsh Government: "Investigating the impact of the Pupil Development Grant on student attainment gap"
 
DfT-funded Solent Future Transport Zone (FTZ) Mobility-as-a-Service (MaaS) project
 
Interreg 2-seas Smart Light Concepts (SLIC) project
 
Sustainable freight transportation problem research leading to CABS 3* and 4* papers
 
Multiple working papers and projects in sustainable transport, vehicle routing, and public lighting systems

Assistant Professor, Operations and Supply Chain Management, Prince Mohammad Bin Fahd University, KSA (Jan 2026 - Present)
 
Lecturer, Operations and Supply Chain Management, Cardiff Metropolitan University, UK
 
Postdoctoral Research Fellow for Mobility as a Service, University of Portsmouth, UK
 
Senior Research Associate in Applied OR for the SLIC project, University of Portsmouth, UK
 
Teaching Assistant, MSc Logistics and Supply Chain Management, University of Portsmouth, UK

Undergraduate (Prince Mohammad Bin Fahd University)
 
Business Negotiations
 
Operations Management
 
 
Postgraduate (Prince Mohammad Bin Fahd University)
 
Operations and Supply Chain Management
 
Product and Service Innovation
 
PhD Research Seminar series. 
 
 
 
Undergraduate (Cardiff Metropolitan University)
 
Business Research and Reporting 
 
Global Logistics Management 
 
International Logistics
 
Contemporary Operations Management 
 
 
Postgraduate (Cardiff Metropolitan University)
 
Supply Chain Analytics and Digital Competence 
 
Production and Operations Management 
 
 
Postgraduate (University of Portsmouth)
 
Logistics Modeling

Development of heuristics, meta-heuristics, learn-heuristics, evolutionary algorithms, multi-objective methods, and machine learning algorithms

Solving complex real-world problems in sustainability, manufacturing, timetabling, aircraft landing, vehicle routing, supply chain management, logistics, healthcare, sustainable public lighting, intelligent decision support systems, tourism, and user behavior modeling for personalization

Operational Research (OR) and innovative optimization models for scheduling, supply chain, logistics, and recommender systems

Member, Chartered Institute of Logistics and Transport (CILT)
 
Member, British Academy of Management (BAM)
 
Member, British Operational Research Society (OR Society)