Dr. Masih Fadaki
Senior Lecturer
Details
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College: Accounting, Info Sys & Supply Chain
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Department: Accounting, Info Sys & Supply Chain
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Campus: City Campus Australia
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masih.fadaki@rmit.edu.au
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ORCID: 0000-0002-8087-196X
Open to
- Masters Research or PhD student supervision
About
Dr Masih Fadaki is a senior lecturer in the Supply Chain and Logistics Management Department at RMIT University. Masih obtained his Bachelor of Engineering with First-Class Honours, an MBA in Operations Management, and a PhD in Supply Chain Management. Masih has nearly two decades of work experience in the industry. He has held a range of positions in analytics consultation, supply chain, and strategic procurement as a subject matter expert, analyst, and manager. He has published in the top-tier journals of the SCM field, such as Decision Sciences, Transportation Part E, International Journal of Production Economics, International Journal of Production Research. Masih's current research interests include Approximate Dynamic Programming, Supply Chain Analytics, Applied Operations Research, Reinforced Learning, Stochastic Programming, Equitable Allocation Policies.
Masih has been awarded several teaching awards from RMIT University and University of Melbourne. He is also recipient of the School Research Award.
Masih has been awarded several teaching awards from RMIT University and University of Melbourne. He is also recipient of the School Research Award.
Supervisor projects
- Designing a Multi-Agent Humanitarian Supply Chain for Suppression and Evacuation Planning to Mitigate Natural Disasters in Australia: An Approximate Dynamic Programming Approach.
- 27 Nov 2023
- Capital Structure Optimization- Dynamic-Stochastic Programming Approach
- 17 May 2019
Teaching interests
Supply Chain Analytics, Strategic Supply Chain Management, Operations Research, Big Data Analytics, Decision Science, Supply Chain Management, Supply Chain Risk Analysis and Management, Strategic Procurement, e-Supply Chains.
Research interests
Approximate Dynamic Programming, Supply Chain Analytics, Applied Operations Research, Reinforced Learning, Stochastic Programming, Equitable Allocation Policies.
