Personal profile


I am a Senior Lecturer in Operational Research and a member of the Logistics and Operational Research Group (LORG) in the Department of Mathematics at the University of Portsmouth. I am also the Course Leader of MSc Logistics and Supply Chain Management.

My main research interests are Operational Research and the development of novel mathematical optimisation models, advanced meta-heuristic methods, and intelligent decision support systems for automatically producing high quality solutions to a wide range of real world optimisation, scheduling and logistics problems. Real world problems include: manufacturing, healthcare, personal scheduling, vehicle routing and transportation, supply chain and production management, sustainability and renewable energy, etc.

I have carried out successful research in Operational Research since 1995. I received my PhD from the University of Nottingham. I then worked as a researcher and a lecturer for six years in the Automated Scheduling, Optimisation and Planning Research group (ASAP) at the University of Nottingham. I have chaired the scheduling stream in OR53, OR54, and OR55. I have organised several Southern Operational Society Workshops on Optimisation and Scheduling in healthcare, and Logistics and Transportation.

I am a co-investigator on several EU grants: SEABILLA which entailed applying Operational Research methodologies to sea-border security, 2OM and LEANWIND that involve the application of Operational Research methodologies to optimise the operations and maintenance procedures of offshore wind farms. I am also a co-investigator on several Technology Strategy Board (TSB) grants, and the principal investigator on a Higher Education Investment Framework (HEIF) funded project to launch an Operational Research centre at the University of Portsmouth.

I am the Southern Regional Representative to the General Council of the Operational Research Society and a member of the Operational Research Society, UK.

Research Interests

  • Automated optimisation and scheduling
  • Heuristics, meta-heuristics, and hyper-heuristics for combinatorial optimisation and scheduling problems: Exploration and development of heuristics, meta-heuristics, hyper-heuristics, evolutionary algorithms, and multi-objective methods to solve complex real world optimisation, scheduling, and Logistics problems. Examples of applications: Manufacturing, Timetabling, Nurse Rostering, Vehicle Routing, Grid Computing, Robotics, etc.
  • Cooperative and parallel search methodologies: cooperative and parallel meta-heuristics and hyper-heuristics
  • Agent-based scheduling
  • Intelligent decision support systems
  • Multi-agent systems and software agents
  • Applications: Logistics, Transportation and vehicle routing, Supply Chain Management, Inventory Management, Manufacturing and Production Scheduling, Healthcare, Renewable Energy and Sustainability

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 1 - No Poverty
  • SDG 3 - Good Health and Well-being
  • SDG 6 - Clean Water and Sanitation
  • SDG 7 - Affordable and Clean Energy
  • SDG 8 - Decent Work and Economic Growth
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities
  • SDG 12 - Responsible Consumption and Production
  • SDG 13 - Climate Action
  • SDG 16 - Peace, Justice and Strong Institutions


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