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Amir Hossein Ordibazar

Amir Hossein Ordibazar

HDR Student
Â鶹Éçmadou Canberra
School of Business

Amir currently is a PhD candidate at the School of Business, Â鶹Éçmadou Canberra. He received a Bachelor's and a Master's of Industrial Engineering from the college of engineering, University of Tehran, Iran, in 2016 & 2018, respectively. He has some experience as a teaching assistant and software teacher at the University of Tehran and other institutes. His research and studies were in the field of Supply Chain Management (SCM) and advanced manufacturing. After graduation from university, he started his career as an industrial engineer in different companies for three years to improve his industrial perspective. Then, he started his PhD research in Term 2 of 2021, focusing on developing an intelligent framework for the Supply Chain Risk Management (SCRM) in real-time. To reach that goal, he uses his expertise in Mathematical Optimization Modelling, Artificial Intelligence and Machine learning.

PhD Study Opportunities

Are you interested in ?  Explore some of the PhD Study Opportunities at Â鶹Éçmadou Canberra.  We offer a diverse range of Scholarships Opportunities to domestic and international students to suit you and your situation.

Scholarships of $35,000 (AUD) are available for PhD applicants who achieved H1 (High Distinction) in their undergraduate program and/or have completed a Masters by Research.

  • Saeidi A; Rezaie K; Nazari A; Ordibazar AH, 2021, 'Proposing a Pre-emptive Resource Constrained Project Scheduling Problem (PRCPSP) Model to Optimize Manpower and Project Delivery Time (A Case Study)', in Lecture Notes in Mechanical Engineering, Springer International Publishing, pp. 473 - 480, 

    2021

  • Rabbani M; Hosseini-Mokhallesun SAA; Ordibazar AH; Farrokhi-Asl H, 2020, 'A hybrid robust possibilistic approach for a sustainable supply chain location-allocation network design', International Journal of Systems Science: Operations & Logistics, vol. 7, pp. 60 - 75, 

    2020

  • Ordibazar AH; Hussain O; Saberi M, 2022, 'A Recommender System and Risk Mitigation Strategy for Supply Chain Management Using the Counterfactual Explanation Algorithm', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer International Publishing, pp. 103 - 116, 

    2022