Amir currently is a PhD candidate at the School of Business, UNSW 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.
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, http://dx.doi.org/10.1007/978-3-030-62784-3_40
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, http://dx.doi.org/10.1007/978-3-031-14135-5_8
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, http://dx.doi.org/10.1080/23302674.2018.1506061