Hamed Aboutorab

HDR Student

Hamed is a PhD candidate at the School of Business, UNSW Canberra. His PhD research commenced in 2020 and focuses on the application of Artificial Intelligence in risk management. He has a Bachelor of Industrial Engineering and a Master of Business Administration from one of the top universities in Iran (University of Tehran). Prior to starting his PhD, Hamed had worked as a research assistant in a couple of different universities in Iran. In addition to his passion for research, Hamed is interested in teaching and interacting with students and have had the opportunity to teach a few different courses as a tutor or lab demonstrator. Outside of academia, he enjoys sports and plays basketball and tennis.

PUBLICATIONS

Journal articles
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Aboutorab H; Hussain OK; Saberi M; Hussain FK, 2022, 'A reinforcement learning-based framework for disruption risk identification in supply chains', Future Generation Computer Systems, vol. 126, pp. 110 - 122, http://dx.doi.org/10.1016/j.future.2021.08.004
2022
Aboutorab H; Hussain OK; Saberi M; Hussain FK; Chang E, 2021, 'A survey on the suitability of risk identification techniques in the current networked environment', Journal of Network and Computer Applications, vol. 178, pp. 102984 - 102984, http://dx.doi.org/10.1016/j.jnca.2021.102984
2021
Motahari R; Saeidi Sough Y; Aboutorab H; Saberi M, 2021, 'Joint optimization of maintenance and inventory policies for multi-unit systems', International Journal of System Assurance Engineering and Management, vol. 12, pp. 587 - 607, http://dx.doi.org/10.1007/s13198-021-01123-w
2021
Aboutorab H; Saberi M; Asadabadi MR; Hussain O; Chang E, 2018, 'ZBWM: The Z-number extension of Best Worst Method and its application for supplier development', Expert Systems with Applications, vol. 107, pp. 115 - 125, http://dx.doi.org/10.1016/j.eswa.2018.04.015
2018
Aboutorab H; Aslani A; Nazari M, 2018, 'Analysis of dynamics competitiveness by using strategic groups maps: Case of furniture industry', International Journal of Business Analytics, vol. 5, pp. 52 - 66, http://dx.doi.org/10.4018/IJBAN.2018070104
2018
Organisational units
lensSchool of Business