Biography

Hanif Ibrahim holds a BEng (Hons) in Mechanical Engineering, an MSc in Industrial Engineering, and a PhD in Industrial Engineering. His doctoral research focused on renewable-energy integration, sustainability and external-cost assessment, climate-compatible power systems, system dynamics, multi-criteria decision-making, and technology-readiness progression. His work has examined electricity demand and supply planning, sustainable power-generation mixes, renewable-energy transitions, and the environmental and economic implications of energy infrastructure in developing economies. 

Hanif is currently a postdoctoral researcher on the Horizon Europe Restoration of deep-sea habitats 
to rebuild European Seas (REDRESS) project. His research investigates the environmental, economic, and supply-chain dimensions of deep-sea and cold-water coral reef restoration. He leads supply-chain mapping for deep-sea restoration industries using NACE classifications and input–output analysis, identifying the economic sectors, organisations, material flows, service providers, equipment suppliers, vessels, and logistics activities that support restoration operations. He also contributes to EU-level economic impact modelling, cost analysis, and life-cycle assessment of restoration activities, examining impacts on output, gross value added, employment, and the development of a deep-sea restoration economy. 

Research Interests

  • Life-cycle assessment and environmental impact modelling 
  • Sustainable manufacturing and circular economy 
  • Additive manufacturing, CNC machining, CFRP processing, and aerospace manufacturing 
  • Renewable-energy systems, energy planning, and sustainability transitions 
  • Techno-economic analysis and environmental external-cost assessment 
  • Supply-chain mapping and NACE-sector analysis 
  • Input–output modelling and economic impact assessment 
  • Deep-sea and cold-water coral reef restoration 
  • Data-driven performance improvement, uncertainty analysis, and systems modelling 

Publications and Other Outputs

Peer-reviewed articles 

  • Ibrahim, H. A., Harrison, N., Flanagan, T., & Mitchell, S. (2026). Life cycle assessment in aerospace manufacturing processes: A review. Cleaner Environmental Systems, 100503. 
  • Ibrahim, H. A., Harrison, N., Flanagan, T., & Mitchell, S. (2026). Life cycle and re-entry assessment of CNC-manufactured AlSi aerospace freeform mirrors. Cleaner Manufacturing, 100008. 
  • Ibrahim, H. A., & Thopil, G. A. (2025). Life cycle external cost assessment of an onshore wind farm in South Africa. Applied Energy, 388, 125708. 
  • Ibrahim, H. A., & Thopil, G. A. (2025). Life cycle assessment of external impacts and external costs of a potential offshore wind farm off the Southern African coast. Energy, 138382. 
  • Ibrahim, H. A., Ayomoh, M. K., Bansal, R. C., Gitau, M. N., Yadavalli, V. S. S., & Naidoo, R. (2023). Sustainability of power generation for developing economies: A systematic review of power sources mix. Energy Strategy Reviews, 47, 101085. 
  • Ibrahim, H. A., & Ayomoh, M. K. (2022). Optimum predictive modelling for a sustainable power supply mix: A case of the Nigerian power system. Energy Strategy Reviews, 44, 100962. 
  • Ibrahim, H. A., & Ayomoh, M. K. (2022). Identification and prioritization of factors affecting the transition to renewables in developing economies. Energy Reports, 8, 94–104. 
  • Ibrahim, H. A., & Kirkil, G. (2018). Electricity demand and supply scenario analysis for Nigeria using long-range energy alternatives planning. Journal of Scientific Research and Reports, 19(2), 1–12. 

Conference proceedings 

  • Ibrahim, H. A., Harrison, N., Flanagan, T., Jennings, A., Mundy, S., Willis, G., & Mitchell, S. (2026). Life cycle assessment of CNC machining for freeform mirrors. Procedia CIRP, 140, 108–113. 
  • Ibrahim, H. A., & Thopil, G. A. (2024). Externality assessment of an onshore wind farm. International Association for the Management of Technology Conference, 127–133. 
  • Ibrahim, H. A., & Ayomoh, M. K. (2021). Identification and prioritisation of electricity driving factors. IEEE Asia-Pacific Conference on Computer Science and Data Engineering, 1–6.