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Mohammad Khalili

Mohammad Khalili

PhD Candidate
Arts, Design & Architecture
School of Built Environment

·¡³¾²¹¾±±ô:Ìýs.khalili@unsw.edu.au

³§³Ü±è±ð°ù±¹¾±²õ´Ç°ù²õ:ÌýMoe (Mohammad) Mojtahedi, Christine Steinmetz, David Sanderson

As a Scientia Ph.D. Candidate at the School of Built Environment, Mohammad brings a rich background in industrial engineering, with both bachelor's and master's degrees in the field. With over five years of experience as a lecturer in Iran, he has developed a deep understanding of industrial engineering principles and practices. Mohammad's professional journey also includes significant roles in business data analysis and process analysis, where he has contributed to multiple projects, enhancing operational efficiencies and driving business growth. Currently, he serves as a Casual Academic in Construction Management at the School of Built Environment, UNSW.

My research focuses on developing a decision support system to improve integrated resource planning and emergency evacuation in the face of natural hazards. The primary goal is to establish a durable and resilient humanitarian relief chain network, with an emphasis on post-disaster resettlement and emergency services. This endeavour aims to boost the efficiency and effectiveness of relief operations within the humanitarian supply chain, thereby enhancing response capabilities during crises.
  • Khalili, S. M., Mojtahedi, M., Steinmetz-Weiss, C., & Sanderson, D. (2024). A Systematic Literature Review on Transit-Based Evacuation Planning in Emergency Logistics Management: Optimisation and Modelling Approaches. Buildings, 14(1), 176.
  • Khalili, S. M., Jolai, F., & Torabi, S. A. (2017). Integrated production-distribution planning in two-echelon systems: a resilience view. International Journal of Production Research, 55(4), 1040-1064.
  • Khalili, S. M., Babagolzadeh, M., Yazdani, M., Saberi, M., & Chang, E. (2016, September). A bi-objective model for relief supply location in post-disaster management. In 2016 international conference on intelligent networking and collaborative systems (INCoS) (pp. 428-434). IEEE.
  • Azadeh, A., Sheikhalishahi, M., Khalili, S. M., & Firoozi, M. (2014). An integrated fuzzy simulation–fuzzy data envelopment analysis approach for optimum maintenance planning. International journal of computer integrated manufacturing, 27(2), 181-199.
  • Azadeh, A., Sheikhalishahi, M., Firoozi, M., & Khalili, S. M. (2013). An integrated multi-criteria Taguchi computer simulation-DEA approach for optimum maintenance policy and planning by incorporating learning effects. International Journal of Production Research, 51(18), 5374-5385.