معرفی
Professor Djamila Ouelhadj of the University of Portsmouth is a leading academic in Operational Research, affiliated with the School of Mathematics and Physics and Centre for Operational Research and Logistics. She serves as Course Leader for MSc Logistics and Supply Chain Management and contributes to EU-funded projects like SEABILLA and LEANWIND. Her work spans mathematical optimization, meta-heuristics, and decision support systems applied to logistics, transportation, healthcare, and renewable energy.
- Research Themes: Operational Research, Logistics Analytics, AI for Decision Making, Sustainable Transportation
Her recent publications focus on Mobility-as-a-Service (MaaS) systems, drone scheduling for wind farm inspection, and multi-criteria frameworks for inclusive transport. Articles highlight integration of machine learning, stochastic modeling, and robotics in solving real-world optimization problems. She employs multi-objective methods, simheuristics, and clustering techniques to address challenges in renewable energy, urban mobility, and security.
Scientific Contributions include:
- Co-investigator on EU grants for maritime security and wind farm optimization
- Principal investigator for HEIF-funded Operational Research Centre
- Chair of scheduling streams at OR53-OR55 conferences
Her advising extends to 15 theses, covering topics from nurse rostering to carbon footprint reduction. Collaborative grants include TSB and EU Horizon 2020 projects. She actively contributes to European Journal of Operational Research and leads the Logistics and Operational Research Group (LORG) in developing intelligent decision support systems for complex scheduling problems.
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