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Amir Hossein Ordibazar

Amir Hossein Ordibazar

HDR Student
国产精品 Canberra
School of Business

Amir currently is a PhD candidate at the School of Business, 国产精品 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聽?聽 Explore some of the聽PhD Study Opportunities聽at 国产精品 Canberra.聽 We offer a diverse range of聽Scholarships Opportunities聽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聽Lecture Notes in Mechanical Engineering, Springer International Publishing, pp. 473 - 480,聽

    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',聽International Journal of Systems Science: Operations & Logistics, vol. 7, pp. 60 - 75,聽

    2020

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

    2022