Postgraduate Research Student Profiles

Maziar Yazdani

Designing a Smart Disaster Response System for Urban Areas in Australia

Maziar’s research focuses on designing a smart disaster response system using integrated optimisation-simulation models to build future cities more resilience against disasters.  Under the supervision of Dr Mohammad Mojtahedi, Associate Professor Imriyas Kamardeen, Professor Martin Loosemore, Professor David Sanderson, the title of his thesis is ‘designing a smart disaster response system for urban areas in Australia’.

PUBLICATIONS

Journal Articles

  • Aghapour, A. H., Yazdani, M., Jolai, F. & Mojtahedi, M. 2019. Capacity planning and reconfiguration for disaster-resilient health infrastructure. Journal of Building Engineering, 26, 100853. https://doi.org/10.1016/j.jobe.2019.100853
  • Yazdani, M., Babagolzadeh, M., Kazemitash, N. & Saberi, M. 2019. Reliability estimation using an integrated support vector regression-variable neighborhood search model. Journal of Industrial Information Integration. https://doi.org/10.1016/j.jii.2019.03.001
  • Yazdani, M., Jolai, F., Taleghani, M. & Yazdani, R. 2018. A modified imperialist competitive algorithm for a two-agent single-machine scheduling under periodic maintenance consideration. International Journal of Operational Research, 32, 127-155. https://doi.org/10.1504/IJOR.2018.092011
  • Yazdani, M., Aleti, A., Khalili, S. M. & Jolai, F. 2017. Optimizing the sum of maximum earliness and tardiness of the job shop scheduling problem. Computers & Industrial Engineering, 107, 12-24. https://doi.org/10.1016/j.cie.2017.02.019
  • Yazdani, M. & Ghodsi, R. 2017. Invasive weed optimization algorithm for minimizing total weighted earliness and tardiness penalties on a single machine under aging effect. International Robotics and Automation Journal, 2, 1-5.
  • Yazdani, M., Khalili, S. M., Babagolzadeh, M. & Jolai, F. 2016. A single-machine scheduling problem with multiple unavailability constraints: A mathematical model and an enhanced variable neighborhood search approach, Journal of Computational Design and Engineering, 4, 46-59, https://doi.org/10.1016/j.jcde.2016.08.001
  • Yazdani, M., Khalili, S. M. & Jolai, F. 2016. A parallel machine scheduling problem with two-agent and tool change activities: an efficient hybrid metaheuristic algorithm. International Journal of Computer Integrated Manufacturing. 10, 1075-1088 https://doi.org/10.1080/0951192X.2015.1130261
  • Azadeh, A., Seif, J., Sheikhalishahi, M. & Yazdani, M. 2016. An integrated support vector regression-imperialist competitive algorithm for reliability estimation of a shearing machine. International Journal of Computer Integrated Manufacturing, 29, 16-24. https://doi.org/10.1080/0951192X.2014.1002810
  • Yazdani, M. & Jolai, F. 2016. Lion optimization algorithm (LOA): a nature-inspired metaheuristic algorithm. Journal of computational design and engineering, 3, 24-36. https://doi.org/10.1016/j.jcde.2015.06.003
  • Kaviani, M. & Yazdani, M. 2015. Strategic Financial Performance Evaluation of the Iranian automotive industry Using Imperialist competitive Algorithm. Journal of Financial Innovation, 1, 1-5.
  • Yazdani, M. & Jolai, F. 2013. A Genetic Algorithm with Modified Crossover Operator for a Two-Agent Scheduling Problem.

Conference Papers

  • Yazdani, M., Mojtahedi, M. & Loosemore, M. Clustering Analysis of Vulnerable Areas in Australia's Cities Against Disasters.  Decision Making Under Uncertainty and Humanitarian Applications, AMSI Optimise 2018, 2018b. https://optimise.amsi.org.au/wp-content/uploads/sites/52/2018/06/opt-18 …, 27.
  • Yazdani, M., Mojtahedi, M. & Loosemore, M. Developing a Comprehensive Disaster Evacuation Planning Model for Urban Areas in Australia.  Decision Making Under Uncertainty and Humanitarian Applications, AMSI Optimise 2018 Melbourne June 2018, 2018c., 26.Khalili, S. M., Babagolzadeh, M., Yazdani, M., Saberi, M. & Chang, E. A Bi-objective Model for Relief Supply Location in Post-Disaster Management.  2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS), 2016. IEEE, 428-434.
  • Khalili, S. M., Fariborz, J., Maziar, Y. & Morteza, S. Production-distribution planning in a supply chain considering disruption and resilience factors.  2nd National Conference on Industrial Engineering & Systems, 2014.
  • Khalili, S. M., Fariborz, J. & Yazdani, M. Optimizing the resilience of an integrated production-distribution model.  Tenth International Industrial Engineering Conference, 2014.
  • Khalili, S. M., Fariborz, J. & Yazdani, M. A two stage fuzzy-stochastic programming model for production and distribution planning considering disruption risks and resiliency.  The 7th International Conference of Iranian Operation Research Society, 2014.
  • Maziar, Y., Fariborz, J. & Khalili, S. M. Minimizing total absolute deviation completion times on Single Machine scheduling under availability constraint.  Tenth International Industrial Engineering Conference, 2014.
  • Maziar, Y., Fariborz, J. & Seyyed Mohammad, K. Solving a single-machine scheduling with two competing agents and unavailability consideration by a discrete cuckoo optimization algorithm.  First National Conference on Industrial Engineering & Sustainable Management (IESM'13), 2014.
  • Seyyed Mohammad, K., Maziar, Y. & Fariborz, J. Supplier Selection and Order Allocation Planning Under Political and Disruption Risks.  12 th International Conference on Industrial Engineering (ICIE 2016), 2016.
     
TEACHING / RESEARCH ASSISTANT EXPERIENCE

At UNSW:

  • CPM Practice Capstone (BLDG3022)
  • Building Services (BLDG2011)
  • Ind & Infrastructure Construct (BLDG1021)
  • Research Assistant (2018): Designing a Smart Evacuation System for Future Resilient Transport Infrastructure